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Fed Pract
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gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
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Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
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pedophilia
poker
porn
pornography
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recreational drug
sex slave rings
slot machine
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Texas hold 'em
UFC
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bunges
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butt
butt fuck
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buttfucked
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cock sucker
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A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.

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What Causes One of Stroke’s Most Common Complications?

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The mechanisms underlying poststroke depression (PSD), a common and debilitating complication of stroke, are unclear. Is it neurobiological, psychosocial, or both?

Two studies offer new insight into this question. In the first, investigators systematically reviewed studies comparing stroke and non-stroke participants with depression and found the groups were similar in most dimensions of depressive symptoms. But surprisingly, anhedonia was less severe in patients with PSD compared with non-stroke controls, and those with PSD also showed greater emotional dysregulation.

“Our findings support previous recommendations that clinicians should adapt the provision of psychological support to the specific needs and difficulties of stroke survivors,” said lead author Joshua Blake, DClinPsy, lecturer in clinical psychology, University of East Anglia, Norwich, United Kingdom.

The study was published online in Neuropsychology Review

A second study used a machine learning algorithm to analyze blood samples from adults who had suffered a stroke, determining whether plasma protein data could predict mood and identifying potential proteins associated with mood in these patients.

“We can now look at a stroke survivor’s blood and predict their mood,” senior author Marion Buckwalter, MD, PhD, professor of neurology and neurosurgery at Stanford Medicine, California, said in a news release. “This means there is a genuine association between what’s happening in the blood and what’s happening with a person’s mood. It also means that, down the road, we may be able to develop new treatments for PSD.”

The study was published in November 2023 in Brain, Behavior, and Immunity.
 

‘Surprising’ Findings

“There has long been uncertainty over whether PSD might differ in its causes, phenomenology, and treatability, due to the presence of brain injury, related biological changes, and the psychosocial context unique to this population,” Dr. Blake said. “We felt that understanding symptomatologic similarities and differences would constructively contribute to this debate.”

The researchers reviewed 12 papers that sampled both stroke and non-stroke participants. “We compared profiles of depression symptoms, correlation strengths of individual depression symptoms with general depression, and latent item severity,” Dr. Blake reported.

They extracted 38 symptoms from five standardized depression tools and then organized the symptoms into nine dimensions.

They found mostly nonsignificant differences between patients with PSD and non-stroke controls in most dimensions, including negative affect, negative cognitions, somatic features, anxiety/worry, and suicidal ideation. Those with PSD more frequently had cognitive impairment, and “work inhibition” was more common in PSD.

But the most striking finding was greater severity/prevalence of emotional dysregulation in PSD vs non-stroke depression and also less anhedonia.

Dr. Blake acknowledged being “surprised.”

One possible explanation is that stroke recovery “appears to be a highly emotional journey, with extreme findings of both positive and negative emotions reported by survivors as they psychologically adjust,” which might be protective against anhedonia, he suggested.

Moreover, neurologically driven emotional dysregulation “may similarly reduce experiences of anhedonia.”

However, there was a “considerable risk of bias in many of the included studies, meaning it’s important that these findings are experimentally confirmed before stronger conclusions about phenomenological differences can be drawn,” he cautioned.
 

Common, Undertreated

Dr. Buckwalter said her team was motivated to conduct the research because PSD is among the top problems reported by chronic stroke patients, and for most, it is not adequately treated.

However, “despite the high prevalence of PSD, it is very poorly studied in the chronic time period.” In particular, PSD isn’t “well understood at a molecular level.”

She added that inflammation is a “promising candidate” as a mechanism, since neuroinflammation occurs in the stroke scar for decades, and chronic peripheral inflammation can produce neuroinflammation. Aberrant immune activation has also been implicated in major depression without stroke. But large studies with broad panels of plasma biomarkers are lacking in PSD.

To address this gap, the researchers used a proteomic approach. They recruited 85 chronic stroke patients (mean age, 65 years [interquartile range, 55-71], 41.2% female, 65.9% White, 17.6% Asian, and 0% Black) from the Stanford Stroke Recovery Program. Participants were between 5 months and 9 years after an ischemic stroke.

They analyzed a comprehensive panel of 1196 proteins in plasma samples, applying a machine learning algorithm to see whether the plasma protein levels “could be used to predict mood scores, using either the proteomics data alone or adding age and time since stroke.” The proteomics data were then incorporated into multivariable regression models, along with relevant clinical features, to ascertain the model’s predictive ability.

Mood was assessed using the Stroke Impact Scale mood questionnaire, with participants’ mood dichotomized into better mood (> 63) or worse mood (≤ 63).
 

‘Beautiful Mechanistic Model’

Machine learning verified a relationship between plasma proteomic data and mood, with the most accurate prediction occurring when the researchers added age and time since the stroke to the analysis.

Independent univariate analyses identified 202 proteins that were most highly correlated with mood in PSD. These were then organized into functional groups, including immune proteins, integrins, growth factors, synaptic function proteins, serotonin activity-related proteins, and cell death and stress-related functional groupings.

Although no single protein could predict depression, significant changes in levels of several proteins were found in PSD patients. A high proportion (45%) were proteins previously implicated in major depression, “likely providing a link to the underlying mechanisms of chronic PSD,” the authors stated.

Moreover, 80% of correlated immune proteins were higher in the plasma of people with worse mood, and several immune proteins known to have anti-inflammatory effects were reduced in those with worse mood.

And several pro-inflammatory cytokines were implicated. For example, interleukin 6, which has been extensively studied as a potential plasma marker of major depression in non-stroke cohorts, was significantly elevated in patients with worse mood after stroke (P = .0325), «implicating a broadly overactive immune system in PSD.»

“We demonstrated for the first time that we can use plasma protein measurements to predict mood in people with chronic stroke,” Dr. Buckwalter summarized. “This means there is a biological correlate of mood but [it] doesn’t tell us causality.”

To tease out causality, the researchers used their own data, as well as information from a literature review of previous studies, to assemble a model of how the immune response following a stroke could change both serotonin and brain plasticity.

“We used the most highly correlated proteins to construct a beautiful mechanistic model of how poststroke depression may work and how it may relate to mechanisms in major depression,” Dr. Buckwalter said.

The model “posits an increased inflammatory response that leads to decreased tryptophan, serotonin, and less synaptic function, all of which contribute to symptoms of depression.”

Currently, selective serotonin reuptake inhibitors represent the “best treatment” for people with PSD, but “unfortunately they don’t work for many patients,” Dr. Buckwalter noted. The findings “provide clues as to other molecular targets that are candidates novel therapies for poststroke depression.”

Dr. Blake commented that the proteomic study “complements the work by us and others interested in understanding PSD.”

Mood disorders “must be understood in terms of the dynamic relationships between structural neurological alterations, cellular and microbiological changes, psychological processes, and the person’s interactions with their social landscape,” Dr. Blake said.
 

 

 

New Treatments on the Horizon?

Gustavo C. Medeiros, MD, assistant professor, Department of Psychiatry, of the University of Maryland School of Medicine, Baltimore, said that knowing which individuals are more likely to develop PSD “allows treatment teams to implement earlier and more intensive interventions in those who are at higher risk.”

The findings [of the proteomic study] may also “help clarify the neurobiological correlates of PSD…[which] may help the development of new treatments that target these neurobiological changes,” said Dr. Medeiros, who wasn’t involved with either study.

However, he warned, “we should interpret their results with caution due to methodological reasons, including the relatively small sample size.”

Also commenting, Bruce Ovbiagele, MD, MSc, MAS, MBA, MLS, professor of neurology, UCSF Weill Institute for Neurosciences, California, said the proteomic study has some “clear limitations,” including the lack of Black or African American patients in the cohort, which limits generalizability, “since we know that Black and African American people are disproportionately affected by stroke and have very high rates of PSD and very severe presentation.”

The study by Dr. Blake et al. “was interesting because the phenotype of depressive symptoms after stroke differs from what’s seen in the general population, and the authors figured out a way to better understand the nuances of such differences,” said Dr. Ovbiagele, who wasn’t involved with either study.

He said he was also surprised by the finding regarding anhedonia and suggested that the findings be replicated in a study directly comparing patients with PSD and patients with depression from the general population.

The study by Bidoki et al. was funded by AHA/Paul Allen Foundation, the Leducq Stroke-IMPaCT Transatlantic Network of Excellence (MSB), the Wu Tsai Neurosciences Institute (MSB), the Alfred E. Mann Foundation (NA), and an Alzheimer’s Association Research Fellowship to one of the authors. No source of funding was listed for the study by Dr. Blake et al. The authors of both studies, Dr. Medeiros and Dr. Ovbiagele, declare no relevant financial relationships.

A version of this article appeared on Medscape.com.

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The mechanisms underlying poststroke depression (PSD), a common and debilitating complication of stroke, are unclear. Is it neurobiological, psychosocial, or both?

Two studies offer new insight into this question. In the first, investigators systematically reviewed studies comparing stroke and non-stroke participants with depression and found the groups were similar in most dimensions of depressive symptoms. But surprisingly, anhedonia was less severe in patients with PSD compared with non-stroke controls, and those with PSD also showed greater emotional dysregulation.

“Our findings support previous recommendations that clinicians should adapt the provision of psychological support to the specific needs and difficulties of stroke survivors,” said lead author Joshua Blake, DClinPsy, lecturer in clinical psychology, University of East Anglia, Norwich, United Kingdom.

The study was published online in Neuropsychology Review

A second study used a machine learning algorithm to analyze blood samples from adults who had suffered a stroke, determining whether plasma protein data could predict mood and identifying potential proteins associated with mood in these patients.

“We can now look at a stroke survivor’s blood and predict their mood,” senior author Marion Buckwalter, MD, PhD, professor of neurology and neurosurgery at Stanford Medicine, California, said in a news release. “This means there is a genuine association between what’s happening in the blood and what’s happening with a person’s mood. It also means that, down the road, we may be able to develop new treatments for PSD.”

The study was published in November 2023 in Brain, Behavior, and Immunity.
 

‘Surprising’ Findings

“There has long been uncertainty over whether PSD might differ in its causes, phenomenology, and treatability, due to the presence of brain injury, related biological changes, and the psychosocial context unique to this population,” Dr. Blake said. “We felt that understanding symptomatologic similarities and differences would constructively contribute to this debate.”

The researchers reviewed 12 papers that sampled both stroke and non-stroke participants. “We compared profiles of depression symptoms, correlation strengths of individual depression symptoms with general depression, and latent item severity,” Dr. Blake reported.

They extracted 38 symptoms from five standardized depression tools and then organized the symptoms into nine dimensions.

They found mostly nonsignificant differences between patients with PSD and non-stroke controls in most dimensions, including negative affect, negative cognitions, somatic features, anxiety/worry, and suicidal ideation. Those with PSD more frequently had cognitive impairment, and “work inhibition” was more common in PSD.

But the most striking finding was greater severity/prevalence of emotional dysregulation in PSD vs non-stroke depression and also less anhedonia.

Dr. Blake acknowledged being “surprised.”

One possible explanation is that stroke recovery “appears to be a highly emotional journey, with extreme findings of both positive and negative emotions reported by survivors as they psychologically adjust,” which might be protective against anhedonia, he suggested.

Moreover, neurologically driven emotional dysregulation “may similarly reduce experiences of anhedonia.”

However, there was a “considerable risk of bias in many of the included studies, meaning it’s important that these findings are experimentally confirmed before stronger conclusions about phenomenological differences can be drawn,” he cautioned.
 

Common, Undertreated

Dr. Buckwalter said her team was motivated to conduct the research because PSD is among the top problems reported by chronic stroke patients, and for most, it is not adequately treated.

However, “despite the high prevalence of PSD, it is very poorly studied in the chronic time period.” In particular, PSD isn’t “well understood at a molecular level.”

She added that inflammation is a “promising candidate” as a mechanism, since neuroinflammation occurs in the stroke scar for decades, and chronic peripheral inflammation can produce neuroinflammation. Aberrant immune activation has also been implicated in major depression without stroke. But large studies with broad panels of plasma biomarkers are lacking in PSD.

To address this gap, the researchers used a proteomic approach. They recruited 85 chronic stroke patients (mean age, 65 years [interquartile range, 55-71], 41.2% female, 65.9% White, 17.6% Asian, and 0% Black) from the Stanford Stroke Recovery Program. Participants were between 5 months and 9 years after an ischemic stroke.

They analyzed a comprehensive panel of 1196 proteins in plasma samples, applying a machine learning algorithm to see whether the plasma protein levels “could be used to predict mood scores, using either the proteomics data alone or adding age and time since stroke.” The proteomics data were then incorporated into multivariable regression models, along with relevant clinical features, to ascertain the model’s predictive ability.

Mood was assessed using the Stroke Impact Scale mood questionnaire, with participants’ mood dichotomized into better mood (> 63) or worse mood (≤ 63).
 

‘Beautiful Mechanistic Model’

Machine learning verified a relationship between plasma proteomic data and mood, with the most accurate prediction occurring when the researchers added age and time since the stroke to the analysis.

Independent univariate analyses identified 202 proteins that were most highly correlated with mood in PSD. These were then organized into functional groups, including immune proteins, integrins, growth factors, synaptic function proteins, serotonin activity-related proteins, and cell death and stress-related functional groupings.

Although no single protein could predict depression, significant changes in levels of several proteins were found in PSD patients. A high proportion (45%) were proteins previously implicated in major depression, “likely providing a link to the underlying mechanisms of chronic PSD,” the authors stated.

Moreover, 80% of correlated immune proteins were higher in the plasma of people with worse mood, and several immune proteins known to have anti-inflammatory effects were reduced in those with worse mood.

And several pro-inflammatory cytokines were implicated. For example, interleukin 6, which has been extensively studied as a potential plasma marker of major depression in non-stroke cohorts, was significantly elevated in patients with worse mood after stroke (P = .0325), «implicating a broadly overactive immune system in PSD.»

“We demonstrated for the first time that we can use plasma protein measurements to predict mood in people with chronic stroke,” Dr. Buckwalter summarized. “This means there is a biological correlate of mood but [it] doesn’t tell us causality.”

To tease out causality, the researchers used their own data, as well as information from a literature review of previous studies, to assemble a model of how the immune response following a stroke could change both serotonin and brain plasticity.

“We used the most highly correlated proteins to construct a beautiful mechanistic model of how poststroke depression may work and how it may relate to mechanisms in major depression,” Dr. Buckwalter said.

The model “posits an increased inflammatory response that leads to decreased tryptophan, serotonin, and less synaptic function, all of which contribute to symptoms of depression.”

Currently, selective serotonin reuptake inhibitors represent the “best treatment” for people with PSD, but “unfortunately they don’t work for many patients,” Dr. Buckwalter noted. The findings “provide clues as to other molecular targets that are candidates novel therapies for poststroke depression.”

Dr. Blake commented that the proteomic study “complements the work by us and others interested in understanding PSD.”

Mood disorders “must be understood in terms of the dynamic relationships between structural neurological alterations, cellular and microbiological changes, psychological processes, and the person’s interactions with their social landscape,” Dr. Blake said.
 

 

 

New Treatments on the Horizon?

Gustavo C. Medeiros, MD, assistant professor, Department of Psychiatry, of the University of Maryland School of Medicine, Baltimore, said that knowing which individuals are more likely to develop PSD “allows treatment teams to implement earlier and more intensive interventions in those who are at higher risk.”

The findings [of the proteomic study] may also “help clarify the neurobiological correlates of PSD…[which] may help the development of new treatments that target these neurobiological changes,” said Dr. Medeiros, who wasn’t involved with either study.

However, he warned, “we should interpret their results with caution due to methodological reasons, including the relatively small sample size.”

Also commenting, Bruce Ovbiagele, MD, MSc, MAS, MBA, MLS, professor of neurology, UCSF Weill Institute for Neurosciences, California, said the proteomic study has some “clear limitations,” including the lack of Black or African American patients in the cohort, which limits generalizability, “since we know that Black and African American people are disproportionately affected by stroke and have very high rates of PSD and very severe presentation.”

The study by Dr. Blake et al. “was interesting because the phenotype of depressive symptoms after stroke differs from what’s seen in the general population, and the authors figured out a way to better understand the nuances of such differences,” said Dr. Ovbiagele, who wasn’t involved with either study.

He said he was also surprised by the finding regarding anhedonia and suggested that the findings be replicated in a study directly comparing patients with PSD and patients with depression from the general population.

The study by Bidoki et al. was funded by AHA/Paul Allen Foundation, the Leducq Stroke-IMPaCT Transatlantic Network of Excellence (MSB), the Wu Tsai Neurosciences Institute (MSB), the Alfred E. Mann Foundation (NA), and an Alzheimer’s Association Research Fellowship to one of the authors. No source of funding was listed for the study by Dr. Blake et al. The authors of both studies, Dr. Medeiros and Dr. Ovbiagele, declare no relevant financial relationships.

A version of this article appeared on Medscape.com.

The mechanisms underlying poststroke depression (PSD), a common and debilitating complication of stroke, are unclear. Is it neurobiological, psychosocial, or both?

Two studies offer new insight into this question. In the first, investigators systematically reviewed studies comparing stroke and non-stroke participants with depression and found the groups were similar in most dimensions of depressive symptoms. But surprisingly, anhedonia was less severe in patients with PSD compared with non-stroke controls, and those with PSD also showed greater emotional dysregulation.

“Our findings support previous recommendations that clinicians should adapt the provision of psychological support to the specific needs and difficulties of stroke survivors,” said lead author Joshua Blake, DClinPsy, lecturer in clinical psychology, University of East Anglia, Norwich, United Kingdom.

The study was published online in Neuropsychology Review

A second study used a machine learning algorithm to analyze blood samples from adults who had suffered a stroke, determining whether plasma protein data could predict mood and identifying potential proteins associated with mood in these patients.

“We can now look at a stroke survivor’s blood and predict their mood,” senior author Marion Buckwalter, MD, PhD, professor of neurology and neurosurgery at Stanford Medicine, California, said in a news release. “This means there is a genuine association between what’s happening in the blood and what’s happening with a person’s mood. It also means that, down the road, we may be able to develop new treatments for PSD.”

The study was published in November 2023 in Brain, Behavior, and Immunity.
 

‘Surprising’ Findings

“There has long been uncertainty over whether PSD might differ in its causes, phenomenology, and treatability, due to the presence of brain injury, related biological changes, and the psychosocial context unique to this population,” Dr. Blake said. “We felt that understanding symptomatologic similarities and differences would constructively contribute to this debate.”

The researchers reviewed 12 papers that sampled both stroke and non-stroke participants. “We compared profiles of depression symptoms, correlation strengths of individual depression symptoms with general depression, and latent item severity,” Dr. Blake reported.

They extracted 38 symptoms from five standardized depression tools and then organized the symptoms into nine dimensions.

They found mostly nonsignificant differences between patients with PSD and non-stroke controls in most dimensions, including negative affect, negative cognitions, somatic features, anxiety/worry, and suicidal ideation. Those with PSD more frequently had cognitive impairment, and “work inhibition” was more common in PSD.

But the most striking finding was greater severity/prevalence of emotional dysregulation in PSD vs non-stroke depression and also less anhedonia.

Dr. Blake acknowledged being “surprised.”

One possible explanation is that stroke recovery “appears to be a highly emotional journey, with extreme findings of both positive and negative emotions reported by survivors as they psychologically adjust,” which might be protective against anhedonia, he suggested.

Moreover, neurologically driven emotional dysregulation “may similarly reduce experiences of anhedonia.”

However, there was a “considerable risk of bias in many of the included studies, meaning it’s important that these findings are experimentally confirmed before stronger conclusions about phenomenological differences can be drawn,” he cautioned.
 

Common, Undertreated

Dr. Buckwalter said her team was motivated to conduct the research because PSD is among the top problems reported by chronic stroke patients, and for most, it is not adequately treated.

However, “despite the high prevalence of PSD, it is very poorly studied in the chronic time period.” In particular, PSD isn’t “well understood at a molecular level.”

She added that inflammation is a “promising candidate” as a mechanism, since neuroinflammation occurs in the stroke scar for decades, and chronic peripheral inflammation can produce neuroinflammation. Aberrant immune activation has also been implicated in major depression without stroke. But large studies with broad panels of plasma biomarkers are lacking in PSD.

To address this gap, the researchers used a proteomic approach. They recruited 85 chronic stroke patients (mean age, 65 years [interquartile range, 55-71], 41.2% female, 65.9% White, 17.6% Asian, and 0% Black) from the Stanford Stroke Recovery Program. Participants were between 5 months and 9 years after an ischemic stroke.

They analyzed a comprehensive panel of 1196 proteins in plasma samples, applying a machine learning algorithm to see whether the plasma protein levels “could be used to predict mood scores, using either the proteomics data alone or adding age and time since stroke.” The proteomics data were then incorporated into multivariable regression models, along with relevant clinical features, to ascertain the model’s predictive ability.

Mood was assessed using the Stroke Impact Scale mood questionnaire, with participants’ mood dichotomized into better mood (> 63) or worse mood (≤ 63).
 

‘Beautiful Mechanistic Model’

Machine learning verified a relationship between plasma proteomic data and mood, with the most accurate prediction occurring when the researchers added age and time since the stroke to the analysis.

Independent univariate analyses identified 202 proteins that were most highly correlated with mood in PSD. These were then organized into functional groups, including immune proteins, integrins, growth factors, synaptic function proteins, serotonin activity-related proteins, and cell death and stress-related functional groupings.

Although no single protein could predict depression, significant changes in levels of several proteins were found in PSD patients. A high proportion (45%) were proteins previously implicated in major depression, “likely providing a link to the underlying mechanisms of chronic PSD,” the authors stated.

Moreover, 80% of correlated immune proteins were higher in the plasma of people with worse mood, and several immune proteins known to have anti-inflammatory effects were reduced in those with worse mood.

And several pro-inflammatory cytokines were implicated. For example, interleukin 6, which has been extensively studied as a potential plasma marker of major depression in non-stroke cohorts, was significantly elevated in patients with worse mood after stroke (P = .0325), «implicating a broadly overactive immune system in PSD.»

“We demonstrated for the first time that we can use plasma protein measurements to predict mood in people with chronic stroke,” Dr. Buckwalter summarized. “This means there is a biological correlate of mood but [it] doesn’t tell us causality.”

To tease out causality, the researchers used their own data, as well as information from a literature review of previous studies, to assemble a model of how the immune response following a stroke could change both serotonin and brain plasticity.

“We used the most highly correlated proteins to construct a beautiful mechanistic model of how poststroke depression may work and how it may relate to mechanisms in major depression,” Dr. Buckwalter said.

The model “posits an increased inflammatory response that leads to decreased tryptophan, serotonin, and less synaptic function, all of which contribute to symptoms of depression.”

Currently, selective serotonin reuptake inhibitors represent the “best treatment” for people with PSD, but “unfortunately they don’t work for many patients,” Dr. Buckwalter noted. The findings “provide clues as to other molecular targets that are candidates novel therapies for poststroke depression.”

Dr. Blake commented that the proteomic study “complements the work by us and others interested in understanding PSD.”

Mood disorders “must be understood in terms of the dynamic relationships between structural neurological alterations, cellular and microbiological changes, psychological processes, and the person’s interactions with their social landscape,” Dr. Blake said.
 

 

 

New Treatments on the Horizon?

Gustavo C. Medeiros, MD, assistant professor, Department of Psychiatry, of the University of Maryland School of Medicine, Baltimore, said that knowing which individuals are more likely to develop PSD “allows treatment teams to implement earlier and more intensive interventions in those who are at higher risk.”

The findings [of the proteomic study] may also “help clarify the neurobiological correlates of PSD…[which] may help the development of new treatments that target these neurobiological changes,” said Dr. Medeiros, who wasn’t involved with either study.

However, he warned, “we should interpret their results with caution due to methodological reasons, including the relatively small sample size.”

Also commenting, Bruce Ovbiagele, MD, MSc, MAS, MBA, MLS, professor of neurology, UCSF Weill Institute for Neurosciences, California, said the proteomic study has some “clear limitations,” including the lack of Black or African American patients in the cohort, which limits generalizability, “since we know that Black and African American people are disproportionately affected by stroke and have very high rates of PSD and very severe presentation.”

The study by Dr. Blake et al. “was interesting because the phenotype of depressive symptoms after stroke differs from what’s seen in the general population, and the authors figured out a way to better understand the nuances of such differences,” said Dr. Ovbiagele, who wasn’t involved with either study.

He said he was also surprised by the finding regarding anhedonia and suggested that the findings be replicated in a study directly comparing patients with PSD and patients with depression from the general population.

The study by Bidoki et al. was funded by AHA/Paul Allen Foundation, the Leducq Stroke-IMPaCT Transatlantic Network of Excellence (MSB), the Wu Tsai Neurosciences Institute (MSB), the Alfred E. Mann Foundation (NA), and an Alzheimer’s Association Research Fellowship to one of the authors. No source of funding was listed for the study by Dr. Blake et al. The authors of both studies, Dr. Medeiros and Dr. Ovbiagele, declare no relevant financial relationships.

A version of this article appeared on Medscape.com.

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No Added Benefit From Chemo in This Breast Cancer Subtype

Article Type
Changed
Thu, 01/04/2024 - 12:23

 

TOPLINE:

Women with estrogen receptor (ER)–positive, human epidermal growth factor receptor 2 (HER2)–negative invasive lobular carcinoma who are treated with endocrine therapy do not derive any additional survival benefit from neoadjuvant or adjuvant chemotherapy.

METHODOLOGY:

  • Studies evaluating the long-term effects of chemotherapy in patients with invasive lobular carcinoma are limited and often “show inconclusive results,” the authors explained.
  • Female patients diagnosed with ER-positive, HER2-negative invasive lobular carcinoma who received endocrine therapy were identified from the breast cancer database at Erasmus Medical Center, Rotterdam, the Netherlands.
  • Linked information on patient and tumor characteristics, vital status, and treatment were then obtained from the Netherlands Cancer Registry.
  • Patients also had to have an indication for chemotherapy based on lymph node status, tumor size, histologic tumor grade, and hormone receptor status, in line with national guidelines.
  • Among 716 patients with ER-positive, HER2-negative invasive lobular carcinoma, 520 who had an indication for chemotherapy were included. Of those, 379 received chemotherapy and 141 did not.

TAKEAWAY:

  • Patients who received chemotherapy were younger at diagnosis than those who did not (51 vs 61 years), had an earlier average year of diagnosis (2010 vs 2015), and had longer follow-up (7.8 years vs 5.2 years).
  • Chemotherapy recipients were more likely to have T3+ disease (33% vs 14%) and positive lymph node involvement (80% vs 49%), and less likely to undergo breast-conserving surgery (31% vs 43%).
  • Researchers, however, found no difference between the chemotherapy and no-chemotherapy groups in terms of recurrence-free survival (hazard ratio [HR], 1.20; 95% CI, 0.63-2.31), breast cancer–specific survival (HR, 1.24; 95% CI, 0.60-2.58), and overall survival (HR, 0.97; 95% CI, 0.56-1.66) after adjustment for confounders.

IN PRACTICE:

The authors “observed no evidence for added value of chemotherapy” for ER-positive, HER2-negative invasive lobular carcinoma who received endocrine therapy. “In view of the adverse effects of chemotherapy, our study takes an important step in answering a valuable question from the patient’s perspective,” the researchers wrote.

SOURCE:

The study, conducted by Bernadette A.M. Heemskerk-Gerritsen, PhD, from Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands, was published in Cancer on November 20, 2023.

LIMITATIONS:

The retrospective design means that there is a risk for residual confounding from factors not recorded in the database. The researchers believe that some patients did not receive chemotherapy owing to having comorbidities or patient preference, which could have influenced the results. Moreover, the duration of endocrine therapy was not recorded.

DISCLOSURES:

No funding was declared. One author declares relationships with GlaxoSmithKline, Pfizer, Menarini Silicon Biosystems, and Novartis. No other relevant financial relationships were declared.

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TOPLINE:

Women with estrogen receptor (ER)–positive, human epidermal growth factor receptor 2 (HER2)–negative invasive lobular carcinoma who are treated with endocrine therapy do not derive any additional survival benefit from neoadjuvant or adjuvant chemotherapy.

METHODOLOGY:

  • Studies evaluating the long-term effects of chemotherapy in patients with invasive lobular carcinoma are limited and often “show inconclusive results,” the authors explained.
  • Female patients diagnosed with ER-positive, HER2-negative invasive lobular carcinoma who received endocrine therapy were identified from the breast cancer database at Erasmus Medical Center, Rotterdam, the Netherlands.
  • Linked information on patient and tumor characteristics, vital status, and treatment were then obtained from the Netherlands Cancer Registry.
  • Patients also had to have an indication for chemotherapy based on lymph node status, tumor size, histologic tumor grade, and hormone receptor status, in line with national guidelines.
  • Among 716 patients with ER-positive, HER2-negative invasive lobular carcinoma, 520 who had an indication for chemotherapy were included. Of those, 379 received chemotherapy and 141 did not.

TAKEAWAY:

  • Patients who received chemotherapy were younger at diagnosis than those who did not (51 vs 61 years), had an earlier average year of diagnosis (2010 vs 2015), and had longer follow-up (7.8 years vs 5.2 years).
  • Chemotherapy recipients were more likely to have T3+ disease (33% vs 14%) and positive lymph node involvement (80% vs 49%), and less likely to undergo breast-conserving surgery (31% vs 43%).
  • Researchers, however, found no difference between the chemotherapy and no-chemotherapy groups in terms of recurrence-free survival (hazard ratio [HR], 1.20; 95% CI, 0.63-2.31), breast cancer–specific survival (HR, 1.24; 95% CI, 0.60-2.58), and overall survival (HR, 0.97; 95% CI, 0.56-1.66) after adjustment for confounders.

IN PRACTICE:

The authors “observed no evidence for added value of chemotherapy” for ER-positive, HER2-negative invasive lobular carcinoma who received endocrine therapy. “In view of the adverse effects of chemotherapy, our study takes an important step in answering a valuable question from the patient’s perspective,” the researchers wrote.

SOURCE:

The study, conducted by Bernadette A.M. Heemskerk-Gerritsen, PhD, from Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands, was published in Cancer on November 20, 2023.

LIMITATIONS:

The retrospective design means that there is a risk for residual confounding from factors not recorded in the database. The researchers believe that some patients did not receive chemotherapy owing to having comorbidities or patient preference, which could have influenced the results. Moreover, the duration of endocrine therapy was not recorded.

DISCLOSURES:

No funding was declared. One author declares relationships with GlaxoSmithKline, Pfizer, Menarini Silicon Biosystems, and Novartis. No other relevant financial relationships were declared.

 

TOPLINE:

Women with estrogen receptor (ER)–positive, human epidermal growth factor receptor 2 (HER2)–negative invasive lobular carcinoma who are treated with endocrine therapy do not derive any additional survival benefit from neoadjuvant or adjuvant chemotherapy.

METHODOLOGY:

  • Studies evaluating the long-term effects of chemotherapy in patients with invasive lobular carcinoma are limited and often “show inconclusive results,” the authors explained.
  • Female patients diagnosed with ER-positive, HER2-negative invasive lobular carcinoma who received endocrine therapy were identified from the breast cancer database at Erasmus Medical Center, Rotterdam, the Netherlands.
  • Linked information on patient and tumor characteristics, vital status, and treatment were then obtained from the Netherlands Cancer Registry.
  • Patients also had to have an indication for chemotherapy based on lymph node status, tumor size, histologic tumor grade, and hormone receptor status, in line with national guidelines.
  • Among 716 patients with ER-positive, HER2-negative invasive lobular carcinoma, 520 who had an indication for chemotherapy were included. Of those, 379 received chemotherapy and 141 did not.

TAKEAWAY:

  • Patients who received chemotherapy were younger at diagnosis than those who did not (51 vs 61 years), had an earlier average year of diagnosis (2010 vs 2015), and had longer follow-up (7.8 years vs 5.2 years).
  • Chemotherapy recipients were more likely to have T3+ disease (33% vs 14%) and positive lymph node involvement (80% vs 49%), and less likely to undergo breast-conserving surgery (31% vs 43%).
  • Researchers, however, found no difference between the chemotherapy and no-chemotherapy groups in terms of recurrence-free survival (hazard ratio [HR], 1.20; 95% CI, 0.63-2.31), breast cancer–specific survival (HR, 1.24; 95% CI, 0.60-2.58), and overall survival (HR, 0.97; 95% CI, 0.56-1.66) after adjustment for confounders.

IN PRACTICE:

The authors “observed no evidence for added value of chemotherapy” for ER-positive, HER2-negative invasive lobular carcinoma who received endocrine therapy. “In view of the adverse effects of chemotherapy, our study takes an important step in answering a valuable question from the patient’s perspective,” the researchers wrote.

SOURCE:

The study, conducted by Bernadette A.M. Heemskerk-Gerritsen, PhD, from Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands, was published in Cancer on November 20, 2023.

LIMITATIONS:

The retrospective design means that there is a risk for residual confounding from factors not recorded in the database. The researchers believe that some patients did not receive chemotherapy owing to having comorbidities or patient preference, which could have influenced the results. Moreover, the duration of endocrine therapy was not recorded.

DISCLOSURES:

No funding was declared. One author declares relationships with GlaxoSmithKline, Pfizer, Menarini Silicon Biosystems, and Novartis. No other relevant financial relationships were declared.

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Why Do MDs Have Such a High Rate of Eating Disorders?

Article Type
Changed
Fri, 01/05/2024 - 12:34

Ten years ago, Clare Gerada, FRCGP, an advocate for physician well-being and today president of the UK’s Royal College of General Practitioners, made a prediction to the audience at the International Conference on Physician Health.

“We have seen a massive increase in eating disorders [among doctors],” she said. “I’m not sure anybody is quite aware of the tsunami of eating disorders,” she believed would soon strike predominantly female physicians.

That was 2014. Did the tsunami hit?

Quite possibly. Data are limited on the prevalence of eating disorders (EDs) among healthcare workers, but studies do exist. A 2019 global review and meta-analysis determined “the summary prevalence of eating disorder (ED) risk among medical students was 10.4%.”

A 2022 update of that review boosted the estimate to 17.35%.

Tsunami or not, that’s nearly double the 9% rate within the US general public (from a 2020 report from STRIPED and the Academy of Eating Disorders). And while the following stat isn’t an indicator of EDs per se, 19% of doctors admit to unhealthy eating habits, according to a recent Medscape Medical News physician survey.

To her credit, Dr. Gerada, awarded a damehood in 2020, was in a position to know what was coming. Her statement was informed by research showing an increasing number of young doctors seeking treatment for mental health issues, including EDs, through the NHS Practitioner Health program, a mental health service she established in 2008.

So ... what puts doctors at such a high risk for EDs?

Be Careful of ‘Overlap Traits’

As with many mental health issues, EDs have no single cause. Researchers believe they stem from a complex interaction of genetic, biological, behavioral, psychological, and social factors. But the medical field should take note: Some personality traits commonly associated with EDs are often shared by successful physicians.

“I think some of the overlap traits would be being highly driven, goal-oriented and self-critical,” said Lesley Williams, MD, a family medicine physician at the Mayo Clinic in Phoenix, Arizona. “A lot of those traits can make you a very successful physician and physician-in-training but could also potentially spill over into body image and rigidity around food.”

Of course, we want physicians to strive for excellence, and the majority of diligent, driven doctors will not develop an ED.

But when pushed too far, those admirable qualities can easily become perfectionism — which has long been recognized as a risk factor for EDs, an association supported by decades of research.

Medical School: Where EDs Begin and Little Education About Them Happens

“I think medicine in general attracts people that often share similar characteristics to those who struggle with EDs — high-achieving, hardworking perfectionists who put a lot of pressure on themselves,” said Elizabeth McNaught, MD, a general practitioner and medical director at Family Mental Wealth.

Diagnosed with an ED at 14, Dr. McNaught has experienced this firsthand and shared her story in a 2020 memoir, Life Hurts: A Doctor’s Personal Journey Through Anorexia.

Competitive, high-stress environments can also be a trigger, Dr. McNaught explained. “The pressure of medical school,” for example, “can perpetuate an eating disorder if that’s something that you’re struggling with,” she said.

Pressure to perform may not be the only problem. Medical students are taught to view weight as a key indicator of health. Multiple studies suggested that not only does weight stigma exist in healthcare but also it has increased over time and negatively affects patients’ psychological well-being and physical health.

There is far less public discourse about how weight stigma can be harmful to medical students and physicians themselves. Dr. Williams believed the weight-centric paradigm was key.

“For so long, we believed that health presents itself within these confines on a BMI chart and anything outside of that is unhealthy and must be fixed,” she said. “I can say from having gone through medical education, having that continual messaging does make someone feel that if I myself am not within those confines, then I need to do something to fix that immediately if I’m going to continue to care for patients.”

In general, Dr. Williams, and Dr. McNaught agreed that medical training around EDs is lacking, producing doctors who are ill-equipped to diagnose, treat, or even discuss them with patients. Dr. Williams recalled only one lecture on the topic in med school.

“And yet, anorexia carries the second highest death rate of all mental illnesses after opioid-use disorders,” she said, “so it’s astonishing that that just wasn’t included.”

 

 

MDs Hiding Mental Health Issues

Claire Anderson, MD (a pseudonym), emphatically stated she would never tell anyone at the hospital where she works in the emergency department that she has an ED.

“There is still a lot of misunderstanding about mental health, and I never want people to doubt my ability to care for people,” Dr. Anderson said. “There’s so much stigma around eating disorders, and I also feel like once it’s out there, I can’t take it back, and I don’t want to feel like people are watching me.”

Melissa Klein, PhD, a clinical psychologist specializing in EDs, has more than 25 years of experience working the inpatient ED unit at New York Presbyterian. Having treated medical professionals, Dr. Klein said they have legitimate concerns about revealing their struggles.

“Sometimes, they do get reported to higher ups — the boards,” Dr. Klein said, “and they’re told that they have to get help in order for them to continue to work in their profession. I think people might be scared to ask for help because of that reason.”

Doctors Often Ignore EDs or Teach ‘Bad Habits’

Dr. Anderson firmly believed that if her early treatment from doctors had been better, she might not be struggling so much today.

The first time Dr. Anderson’s mother brought up her daughter’s sudden weight loss at 14, their family doctor conferred with a chart and said there was no reason to worry; Dr. Anderson’s weight was “normal.” “I was eating like 500 calories a day and swimming for 3 hours, and [by saying that], they assured me I was fine,” she recalls.

At 15, when Dr. Anderson went in for an initial assessment for an ED, she thought she’d be connected with a nutritionist and sent home. “I didn’t have a lot of classic thoughts of wanting to be thin or wanting to lose weight,” she said.

Instead, Dr. Anderson was sent to inpatient care, which she credits with escalating her ED. “I picked up on a lot of really bad habits when I went there — I sort of learned how to have an eating disorder,” she said. “When I left, it was very different than when I went in, which is kind of sad.”

Throughout high school, Dr. Anderson went in and out of so many hospitals and treatment programs that she’s lost track of them. Then, in 2008, she left formal treatment altogether. “I had been really angry with the treatment programs for trying to fit me into their box with a rigid schedule of inpatient and outpatient care,” she recalled. “I didn’t want to live in that world anymore.”

After working with a new psychiatrist, Dr. Anderson’s situation improved until a particularly stressful second year of residency. “That’s when I just tanked,” she said. “Residency, and especially being on my own and with COVID, things have not been great for me.”

Dr. Anderson now sees an eating disorder specialist, but she pays for this out-of-pocket. “I have terrible insurance,” she said with a laugh, aware of that irony.

 

 

If You Are Struggling, Don’t Be Ashamed

Some physicians who’ve experienced EDs firsthand are working to improve training on diagnosing and treating the conditions. Dr. McNaught has developed and launched a new eLearning program for healthcare workers on how to recognize the early signs and symptoms of an ED and provide support.

“It’s not only so they can recognize it in their patients but also if colleagues and family and friends are struggling,” she said.

In 2021, the American Psychiatric Association (APA) approved the APA Practice Guideline for the Treatment of Patients With Eating Disorders, which aims to improve patient care and treatment outcomes.

But Dr. Klein is concerned that increased stress since the COVID-19 pandemic may be putting healthcare workers at even greater risk.

“When people are under stress or when they feel like there are things in their life that maybe they can’t control, sometimes turning to an eating disorder is a way to cope,” she said, “In that sense, the stress on medical professionals is something that could lead to eating disorder behaviors.”

Dr. Klein’s message to healthcare workers: Don’t be ashamed. She described an ED as “a monster that takes over your brain. Once it starts, it’s very hard to turn it around on your own. So, I hope anyone who is suffering, in whatever field they’re in, that they are able to ask for help.”

A version of this article appeared on Medscape.com.

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Ten years ago, Clare Gerada, FRCGP, an advocate for physician well-being and today president of the UK’s Royal College of General Practitioners, made a prediction to the audience at the International Conference on Physician Health.

“We have seen a massive increase in eating disorders [among doctors],” she said. “I’m not sure anybody is quite aware of the tsunami of eating disorders,” she believed would soon strike predominantly female physicians.

That was 2014. Did the tsunami hit?

Quite possibly. Data are limited on the prevalence of eating disorders (EDs) among healthcare workers, but studies do exist. A 2019 global review and meta-analysis determined “the summary prevalence of eating disorder (ED) risk among medical students was 10.4%.”

A 2022 update of that review boosted the estimate to 17.35%.

Tsunami or not, that’s nearly double the 9% rate within the US general public (from a 2020 report from STRIPED and the Academy of Eating Disorders). And while the following stat isn’t an indicator of EDs per se, 19% of doctors admit to unhealthy eating habits, according to a recent Medscape Medical News physician survey.

To her credit, Dr. Gerada, awarded a damehood in 2020, was in a position to know what was coming. Her statement was informed by research showing an increasing number of young doctors seeking treatment for mental health issues, including EDs, through the NHS Practitioner Health program, a mental health service she established in 2008.

So ... what puts doctors at such a high risk for EDs?

Be Careful of ‘Overlap Traits’

As with many mental health issues, EDs have no single cause. Researchers believe they stem from a complex interaction of genetic, biological, behavioral, psychological, and social factors. But the medical field should take note: Some personality traits commonly associated with EDs are often shared by successful physicians.

“I think some of the overlap traits would be being highly driven, goal-oriented and self-critical,” said Lesley Williams, MD, a family medicine physician at the Mayo Clinic in Phoenix, Arizona. “A lot of those traits can make you a very successful physician and physician-in-training but could also potentially spill over into body image and rigidity around food.”

Of course, we want physicians to strive for excellence, and the majority of diligent, driven doctors will not develop an ED.

But when pushed too far, those admirable qualities can easily become perfectionism — which has long been recognized as a risk factor for EDs, an association supported by decades of research.

Medical School: Where EDs Begin and Little Education About Them Happens

“I think medicine in general attracts people that often share similar characteristics to those who struggle with EDs — high-achieving, hardworking perfectionists who put a lot of pressure on themselves,” said Elizabeth McNaught, MD, a general practitioner and medical director at Family Mental Wealth.

Diagnosed with an ED at 14, Dr. McNaught has experienced this firsthand and shared her story in a 2020 memoir, Life Hurts: A Doctor’s Personal Journey Through Anorexia.

Competitive, high-stress environments can also be a trigger, Dr. McNaught explained. “The pressure of medical school,” for example, “can perpetuate an eating disorder if that’s something that you’re struggling with,” she said.

Pressure to perform may not be the only problem. Medical students are taught to view weight as a key indicator of health. Multiple studies suggested that not only does weight stigma exist in healthcare but also it has increased over time and negatively affects patients’ psychological well-being and physical health.

There is far less public discourse about how weight stigma can be harmful to medical students and physicians themselves. Dr. Williams believed the weight-centric paradigm was key.

“For so long, we believed that health presents itself within these confines on a BMI chart and anything outside of that is unhealthy and must be fixed,” she said. “I can say from having gone through medical education, having that continual messaging does make someone feel that if I myself am not within those confines, then I need to do something to fix that immediately if I’m going to continue to care for patients.”

In general, Dr. Williams, and Dr. McNaught agreed that medical training around EDs is lacking, producing doctors who are ill-equipped to diagnose, treat, or even discuss them with patients. Dr. Williams recalled only one lecture on the topic in med school.

“And yet, anorexia carries the second highest death rate of all mental illnesses after opioid-use disorders,” she said, “so it’s astonishing that that just wasn’t included.”

 

 

MDs Hiding Mental Health Issues

Claire Anderson, MD (a pseudonym), emphatically stated she would never tell anyone at the hospital where she works in the emergency department that she has an ED.

“There is still a lot of misunderstanding about mental health, and I never want people to doubt my ability to care for people,” Dr. Anderson said. “There’s so much stigma around eating disorders, and I also feel like once it’s out there, I can’t take it back, and I don’t want to feel like people are watching me.”

Melissa Klein, PhD, a clinical psychologist specializing in EDs, has more than 25 years of experience working the inpatient ED unit at New York Presbyterian. Having treated medical professionals, Dr. Klein said they have legitimate concerns about revealing their struggles.

“Sometimes, they do get reported to higher ups — the boards,” Dr. Klein said, “and they’re told that they have to get help in order for them to continue to work in their profession. I think people might be scared to ask for help because of that reason.”

Doctors Often Ignore EDs or Teach ‘Bad Habits’

Dr. Anderson firmly believed that if her early treatment from doctors had been better, she might not be struggling so much today.

The first time Dr. Anderson’s mother brought up her daughter’s sudden weight loss at 14, their family doctor conferred with a chart and said there was no reason to worry; Dr. Anderson’s weight was “normal.” “I was eating like 500 calories a day and swimming for 3 hours, and [by saying that], they assured me I was fine,” she recalls.

At 15, when Dr. Anderson went in for an initial assessment for an ED, she thought she’d be connected with a nutritionist and sent home. “I didn’t have a lot of classic thoughts of wanting to be thin or wanting to lose weight,” she said.

Instead, Dr. Anderson was sent to inpatient care, which she credits with escalating her ED. “I picked up on a lot of really bad habits when I went there — I sort of learned how to have an eating disorder,” she said. “When I left, it was very different than when I went in, which is kind of sad.”

Throughout high school, Dr. Anderson went in and out of so many hospitals and treatment programs that she’s lost track of them. Then, in 2008, she left formal treatment altogether. “I had been really angry with the treatment programs for trying to fit me into their box with a rigid schedule of inpatient and outpatient care,” she recalled. “I didn’t want to live in that world anymore.”

After working with a new psychiatrist, Dr. Anderson’s situation improved until a particularly stressful second year of residency. “That’s when I just tanked,” she said. “Residency, and especially being on my own and with COVID, things have not been great for me.”

Dr. Anderson now sees an eating disorder specialist, but she pays for this out-of-pocket. “I have terrible insurance,” she said with a laugh, aware of that irony.

 

 

If You Are Struggling, Don’t Be Ashamed

Some physicians who’ve experienced EDs firsthand are working to improve training on diagnosing and treating the conditions. Dr. McNaught has developed and launched a new eLearning program for healthcare workers on how to recognize the early signs and symptoms of an ED and provide support.

“It’s not only so they can recognize it in their patients but also if colleagues and family and friends are struggling,” she said.

In 2021, the American Psychiatric Association (APA) approved the APA Practice Guideline for the Treatment of Patients With Eating Disorders, which aims to improve patient care and treatment outcomes.

But Dr. Klein is concerned that increased stress since the COVID-19 pandemic may be putting healthcare workers at even greater risk.

“When people are under stress or when they feel like there are things in their life that maybe they can’t control, sometimes turning to an eating disorder is a way to cope,” she said, “In that sense, the stress on medical professionals is something that could lead to eating disorder behaviors.”

Dr. Klein’s message to healthcare workers: Don’t be ashamed. She described an ED as “a monster that takes over your brain. Once it starts, it’s very hard to turn it around on your own. So, I hope anyone who is suffering, in whatever field they’re in, that they are able to ask for help.”

A version of this article appeared on Medscape.com.

Ten years ago, Clare Gerada, FRCGP, an advocate for physician well-being and today president of the UK’s Royal College of General Practitioners, made a prediction to the audience at the International Conference on Physician Health.

“We have seen a massive increase in eating disorders [among doctors],” she said. “I’m not sure anybody is quite aware of the tsunami of eating disorders,” she believed would soon strike predominantly female physicians.

That was 2014. Did the tsunami hit?

Quite possibly. Data are limited on the prevalence of eating disorders (EDs) among healthcare workers, but studies do exist. A 2019 global review and meta-analysis determined “the summary prevalence of eating disorder (ED) risk among medical students was 10.4%.”

A 2022 update of that review boosted the estimate to 17.35%.

Tsunami or not, that’s nearly double the 9% rate within the US general public (from a 2020 report from STRIPED and the Academy of Eating Disorders). And while the following stat isn’t an indicator of EDs per se, 19% of doctors admit to unhealthy eating habits, according to a recent Medscape Medical News physician survey.

To her credit, Dr. Gerada, awarded a damehood in 2020, was in a position to know what was coming. Her statement was informed by research showing an increasing number of young doctors seeking treatment for mental health issues, including EDs, through the NHS Practitioner Health program, a mental health service she established in 2008.

So ... what puts doctors at such a high risk for EDs?

Be Careful of ‘Overlap Traits’

As with many mental health issues, EDs have no single cause. Researchers believe they stem from a complex interaction of genetic, biological, behavioral, psychological, and social factors. But the medical field should take note: Some personality traits commonly associated with EDs are often shared by successful physicians.

“I think some of the overlap traits would be being highly driven, goal-oriented and self-critical,” said Lesley Williams, MD, a family medicine physician at the Mayo Clinic in Phoenix, Arizona. “A lot of those traits can make you a very successful physician and physician-in-training but could also potentially spill over into body image and rigidity around food.”

Of course, we want physicians to strive for excellence, and the majority of diligent, driven doctors will not develop an ED.

But when pushed too far, those admirable qualities can easily become perfectionism — which has long been recognized as a risk factor for EDs, an association supported by decades of research.

Medical School: Where EDs Begin and Little Education About Them Happens

“I think medicine in general attracts people that often share similar characteristics to those who struggle with EDs — high-achieving, hardworking perfectionists who put a lot of pressure on themselves,” said Elizabeth McNaught, MD, a general practitioner and medical director at Family Mental Wealth.

Diagnosed with an ED at 14, Dr. McNaught has experienced this firsthand and shared her story in a 2020 memoir, Life Hurts: A Doctor’s Personal Journey Through Anorexia.

Competitive, high-stress environments can also be a trigger, Dr. McNaught explained. “The pressure of medical school,” for example, “can perpetuate an eating disorder if that’s something that you’re struggling with,” she said.

Pressure to perform may not be the only problem. Medical students are taught to view weight as a key indicator of health. Multiple studies suggested that not only does weight stigma exist in healthcare but also it has increased over time and negatively affects patients’ psychological well-being and physical health.

There is far less public discourse about how weight stigma can be harmful to medical students and physicians themselves. Dr. Williams believed the weight-centric paradigm was key.

“For so long, we believed that health presents itself within these confines on a BMI chart and anything outside of that is unhealthy and must be fixed,” she said. “I can say from having gone through medical education, having that continual messaging does make someone feel that if I myself am not within those confines, then I need to do something to fix that immediately if I’m going to continue to care for patients.”

In general, Dr. Williams, and Dr. McNaught agreed that medical training around EDs is lacking, producing doctors who are ill-equipped to diagnose, treat, or even discuss them with patients. Dr. Williams recalled only one lecture on the topic in med school.

“And yet, anorexia carries the second highest death rate of all mental illnesses after opioid-use disorders,” she said, “so it’s astonishing that that just wasn’t included.”

 

 

MDs Hiding Mental Health Issues

Claire Anderson, MD (a pseudonym), emphatically stated she would never tell anyone at the hospital where she works in the emergency department that she has an ED.

“There is still a lot of misunderstanding about mental health, and I never want people to doubt my ability to care for people,” Dr. Anderson said. “There’s so much stigma around eating disorders, and I also feel like once it’s out there, I can’t take it back, and I don’t want to feel like people are watching me.”

Melissa Klein, PhD, a clinical psychologist specializing in EDs, has more than 25 years of experience working the inpatient ED unit at New York Presbyterian. Having treated medical professionals, Dr. Klein said they have legitimate concerns about revealing their struggles.

“Sometimes, they do get reported to higher ups — the boards,” Dr. Klein said, “and they’re told that they have to get help in order for them to continue to work in their profession. I think people might be scared to ask for help because of that reason.”

Doctors Often Ignore EDs or Teach ‘Bad Habits’

Dr. Anderson firmly believed that if her early treatment from doctors had been better, she might not be struggling so much today.

The first time Dr. Anderson’s mother brought up her daughter’s sudden weight loss at 14, their family doctor conferred with a chart and said there was no reason to worry; Dr. Anderson’s weight was “normal.” “I was eating like 500 calories a day and swimming for 3 hours, and [by saying that], they assured me I was fine,” she recalls.

At 15, when Dr. Anderson went in for an initial assessment for an ED, she thought she’d be connected with a nutritionist and sent home. “I didn’t have a lot of classic thoughts of wanting to be thin or wanting to lose weight,” she said.

Instead, Dr. Anderson was sent to inpatient care, which she credits with escalating her ED. “I picked up on a lot of really bad habits when I went there — I sort of learned how to have an eating disorder,” she said. “When I left, it was very different than when I went in, which is kind of sad.”

Throughout high school, Dr. Anderson went in and out of so many hospitals and treatment programs that she’s lost track of them. Then, in 2008, she left formal treatment altogether. “I had been really angry with the treatment programs for trying to fit me into their box with a rigid schedule of inpatient and outpatient care,” she recalled. “I didn’t want to live in that world anymore.”

After working with a new psychiatrist, Dr. Anderson’s situation improved until a particularly stressful second year of residency. “That’s when I just tanked,” she said. “Residency, and especially being on my own and with COVID, things have not been great for me.”

Dr. Anderson now sees an eating disorder specialist, but she pays for this out-of-pocket. “I have terrible insurance,” she said with a laugh, aware of that irony.

 

 

If You Are Struggling, Don’t Be Ashamed

Some physicians who’ve experienced EDs firsthand are working to improve training on diagnosing and treating the conditions. Dr. McNaught has developed and launched a new eLearning program for healthcare workers on how to recognize the early signs and symptoms of an ED and provide support.

“It’s not only so they can recognize it in their patients but also if colleagues and family and friends are struggling,” she said.

In 2021, the American Psychiatric Association (APA) approved the APA Practice Guideline for the Treatment of Patients With Eating Disorders, which aims to improve patient care and treatment outcomes.

But Dr. Klein is concerned that increased stress since the COVID-19 pandemic may be putting healthcare workers at even greater risk.

“When people are under stress or when they feel like there are things in their life that maybe they can’t control, sometimes turning to an eating disorder is a way to cope,” she said, “In that sense, the stress on medical professionals is something that could lead to eating disorder behaviors.”

Dr. Klein’s message to healthcare workers: Don’t be ashamed. She described an ED as “a monster that takes over your brain. Once it starts, it’s very hard to turn it around on your own. So, I hope anyone who is suffering, in whatever field they’re in, that they are able to ask for help.”

A version of this article appeared on Medscape.com.

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New Stroke Prevention: Clopidogrel-Aspirin Within 72 Hours

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Wed, 01/10/2024 - 15:37

 

TOPLINE: 

Dual antiplatelet therapy (DAPT) with clopidogrel-aspirin given within 72 hours of a mild ischemic stroke or a high-risk transient ischemic attack (TIA) shows a greater risk reduction for new stroke than aspirin alone, although with a higher bleeding risk.

METHODOLOGY:

  • The INSPIRES, a double-blind, placebo-controlled trial, involved patients with mild ischemic stroke or high-risk TIA of presumed atherosclerotic cause who had not undergone thrombolysis or thrombectomy.
  • A total of 6100 patients were randomly assigned to receive clopidogrel plus aspirin or matching clopidogrel placebo plus aspirin within 72 hours after symptom onset.
  • The occurrence of any new stroke (ischemic or hemorrhagic) within 90 days was the primary efficacy outcome.
  • The primary safety outcome was moderate to severe bleeding, also assessed within 90 days.

TAKEAWAY:

  • Within 24 hours of symptom onset, 12.8% of patients were assigned to each treatment group, and the remaining 87.2% were assigned within the time window of 24-72 hours.
  • (7.3% vs 9.2%; marginal estimated hazard ratio [HR], 0.79; P =.008).
  • The risk of a composite cardiovascular event and ischemic stroke were also 20%-25% lower with aspirin-clopidogrel combo vs aspirin alone.
  • Moderate to severe bleeding was low in both groups (<1%), but the risk was double in patients who received DAPT vs aspirin alone (HR, 2.08; P =.03).

IN PRACTICE:

In an accompanying editorial, Anthony S. Kim, MD from the UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, commented, “The current trial provides evidence to support expanding the time window for dual antiplatelet therapy to 72 hours.” He also warned against administering DAPT to “patients with heightened bleeding risks, such as those with a history of cerebral or systemic hemorrhage.”

SOURCE:

Yilong Wang, MD, PhD, who held positions in the Department of Neurology, Beijing Tiantan Hospital, and several other institutions, was the corresponding author of this study. This study was published online December 28 in the New England Journal of Medicine.

LIMITATIONS:

  • Patients with stroke of presumed cardioembolic origin, those with moderate or severe stroke, and those who had undergone thrombolysis or thrombectomy were excluded from this study.
  • Of the enrolled participants, 98.5% belonged to the Han Chinese ethnic group.

DISCLOSURES:

This study was supported by grants from the National Natural Science Foundation of China, the National Key R&D Program of China, and other sources. Some authors declared receiving grants or contracts or serving as consultants in various sources.

A version of this article appeared on Medscape.com.

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TOPLINE: 

Dual antiplatelet therapy (DAPT) with clopidogrel-aspirin given within 72 hours of a mild ischemic stroke or a high-risk transient ischemic attack (TIA) shows a greater risk reduction for new stroke than aspirin alone, although with a higher bleeding risk.

METHODOLOGY:

  • The INSPIRES, a double-blind, placebo-controlled trial, involved patients with mild ischemic stroke or high-risk TIA of presumed atherosclerotic cause who had not undergone thrombolysis or thrombectomy.
  • A total of 6100 patients were randomly assigned to receive clopidogrel plus aspirin or matching clopidogrel placebo plus aspirin within 72 hours after symptom onset.
  • The occurrence of any new stroke (ischemic or hemorrhagic) within 90 days was the primary efficacy outcome.
  • The primary safety outcome was moderate to severe bleeding, also assessed within 90 days.

TAKEAWAY:

  • Within 24 hours of symptom onset, 12.8% of patients were assigned to each treatment group, and the remaining 87.2% were assigned within the time window of 24-72 hours.
  • (7.3% vs 9.2%; marginal estimated hazard ratio [HR], 0.79; P =.008).
  • The risk of a composite cardiovascular event and ischemic stroke were also 20%-25% lower with aspirin-clopidogrel combo vs aspirin alone.
  • Moderate to severe bleeding was low in both groups (<1%), but the risk was double in patients who received DAPT vs aspirin alone (HR, 2.08; P =.03).

IN PRACTICE:

In an accompanying editorial, Anthony S. Kim, MD from the UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, commented, “The current trial provides evidence to support expanding the time window for dual antiplatelet therapy to 72 hours.” He also warned against administering DAPT to “patients with heightened bleeding risks, such as those with a history of cerebral or systemic hemorrhage.”

SOURCE:

Yilong Wang, MD, PhD, who held positions in the Department of Neurology, Beijing Tiantan Hospital, and several other institutions, was the corresponding author of this study. This study was published online December 28 in the New England Journal of Medicine.

LIMITATIONS:

  • Patients with stroke of presumed cardioembolic origin, those with moderate or severe stroke, and those who had undergone thrombolysis or thrombectomy were excluded from this study.
  • Of the enrolled participants, 98.5% belonged to the Han Chinese ethnic group.

DISCLOSURES:

This study was supported by grants from the National Natural Science Foundation of China, the National Key R&D Program of China, and other sources. Some authors declared receiving grants or contracts or serving as consultants in various sources.

A version of this article appeared on Medscape.com.

 

TOPLINE: 

Dual antiplatelet therapy (DAPT) with clopidogrel-aspirin given within 72 hours of a mild ischemic stroke or a high-risk transient ischemic attack (TIA) shows a greater risk reduction for new stroke than aspirin alone, although with a higher bleeding risk.

METHODOLOGY:

  • The INSPIRES, a double-blind, placebo-controlled trial, involved patients with mild ischemic stroke or high-risk TIA of presumed atherosclerotic cause who had not undergone thrombolysis or thrombectomy.
  • A total of 6100 patients were randomly assigned to receive clopidogrel plus aspirin or matching clopidogrel placebo plus aspirin within 72 hours after symptom onset.
  • The occurrence of any new stroke (ischemic or hemorrhagic) within 90 days was the primary efficacy outcome.
  • The primary safety outcome was moderate to severe bleeding, also assessed within 90 days.

TAKEAWAY:

  • Within 24 hours of symptom onset, 12.8% of patients were assigned to each treatment group, and the remaining 87.2% were assigned within the time window of 24-72 hours.
  • (7.3% vs 9.2%; marginal estimated hazard ratio [HR], 0.79; P =.008).
  • The risk of a composite cardiovascular event and ischemic stroke were also 20%-25% lower with aspirin-clopidogrel combo vs aspirin alone.
  • Moderate to severe bleeding was low in both groups (<1%), but the risk was double in patients who received DAPT vs aspirin alone (HR, 2.08; P =.03).

IN PRACTICE:

In an accompanying editorial, Anthony S. Kim, MD from the UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, commented, “The current trial provides evidence to support expanding the time window for dual antiplatelet therapy to 72 hours.” He also warned against administering DAPT to “patients with heightened bleeding risks, such as those with a history of cerebral or systemic hemorrhage.”

SOURCE:

Yilong Wang, MD, PhD, who held positions in the Department of Neurology, Beijing Tiantan Hospital, and several other institutions, was the corresponding author of this study. This study was published online December 28 in the New England Journal of Medicine.

LIMITATIONS:

  • Patients with stroke of presumed cardioembolic origin, those with moderate or severe stroke, and those who had undergone thrombolysis or thrombectomy were excluded from this study.
  • Of the enrolled participants, 98.5% belonged to the Han Chinese ethnic group.

DISCLOSURES:

This study was supported by grants from the National Natural Science Foundation of China, the National Key R&D Program of China, and other sources. Some authors declared receiving grants or contracts or serving as consultants in various sources.

A version of this article appeared on Medscape.com.

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Age-Friendly Health Systems and Meeting the Principles of High Reliability Organizations in the VHA

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The Veterans Health Administration (VHA) is the largest integrated health care system in the US, providing care to more than 9 million enrolled veterans at 1298 facilities.1 In February 2019, the VHA identified key action steps to become a high reliability organization (HRO), transforming how employees think about patient safety and care quality.2 The VHA is also working toward becoming the largest age-friendly health system in the US to be recognized by the Institute for Healthcare Improvement (IHI) for its commitment to providing care guided by the 4Ms (what matters, medication, mentation, and mobility), causing no harm, and aligning care with what matters to older veterans.3 In this article, we describe how the Age-Friendly Health Systems (AFHS) movement supports the culture shift observed in HROs.

Age-Friendly Veteran Care

By 2060, the US population of adults aged ≥ 65 years is projected to increase to about 95 million.3 In the VHA, nearly half of veteran enrollees are aged ≥ 65 years, necessitating evidence-based models of care, such as the 4Ms, to meet their complex care needs.3 Historically, the VHA has been a leader in caring for older adults, recognizing the value of age-friendly care for veterans.4 In 1975, the VHA established the Geriatric Research, Education, and Clinical Centers (GRECCs) to serve as catalysts for developing, implementing, and refining enduring models of geriatric care.4 For 5 decades, GRECCs have driven innovations related to the 4Ms.

The VHA is well positioned to be a leader in the AFHS movement, building on decades of GRECC innovations and geriatric programs that align with the 4Ms and providing specialized geriatric training for health care professionals to expand age-friendly care to new settings and health systems.4 The AFHS movement organizes the 4Ms into a simple framework for frontline staff, and the VHA has recently begun tracking 4Ms care in the electronic health record (EHR) to facilitate evaluation and continuous improvement.

AFHS use the 4Ms as a framework to be implemented in every care setting, from the emergency department to inpatient units, outpatient settings, and postacute and long-term care. By assessing and acting on each M and practicing the 4Ms collectively, all members of the care team work to improve health outcomes and prevent avoidable harm.5

The 4Ms

What matters, is the driver of this person-centered approach. Any member of the care team may initiate a what matters conversation with the older adult to understand their personal values, health goals, and care preferences. When compared with usual care, care aligned with the older adult’s health priorities has been shown to decrease the use of high-risk medications and reduce treatment burden.6 The VHA has adopted Whole Health principles of care and the Patient Priorities Care approach to identify and support what matters to veterans.7,8

Addressing polypharmacy and identifying and deprescribing potentially inappropriate medications are essential in preventing adverse drug events, drug-drug interactions, and medication nonadherence.9 In the VHA, VIONE (Vital, Important, Optional, Not indicated, Every medication has an indication) is a rapidly expanding medication deprescribing program that exemplifies HRO principles.9 VIONE provides medication management that supports shared decision making, reducing risk and improving patient safety and quality of life.9 As of June 2023, > 600,000 unique veterans have benefited from VIONE, with an average of 2.2 medications deprescribed per patient with an annual cost avoidance of > $100 million.10

Assessing and acting on mentation includes preventing, identifying, and managing depression and dementia in outpatient settings and delirium in hospital and long-term care settings.5 There are many tools and clinical reminders available in the EHR so that interdisciplinary teams can document changes to mentation and identify opportunities for continuous improvement.

Closely aligned with mentation is mobility, with evidence suggesting that regular physical activity reduces the risk of falls (preventing associated complications), maintains physical functioning, and lowers the risk of cognitive impairment and depression.5 Ensuring early, frequent, and safe mobility helps patients achieve better health outcomes and prevent injury.5 Mobility programs within the VHA include the STRIDEprogram for the inpatient setting and Gerofit for outpatient settings.11,12

 

 

HRO Principles

An HRO is a complex environment of care that experiences fewer than anticipated accidents or adverse events by (1) establishing trust among leaders and staff by balancing individual accountability with systems thinking; (2) empowering staff to lead continuous process improvements; and (3) creating an environment where employees feel safe to report harm or near misses, focusing on the reasons errors occur.13 The work of AFHS incorporates HRO principles with an emphasis on 3 elements. First, it involves interactive systems and processes needed to support 4Ms care across care settings. Second, AFHS acknowledge the complexity of age-friendly work and deference to the expertise of interdisciplinary team members. Finally, AFHS are committed to resilience by overcoming failures and challenges to implementation and long-term sustainment as a standard of practice.

Case study

The names and details in this case have been modified to protect patient privacy. It is representative of many Community Living Centers (CLCs) involved in AFHS that work to create a safe, person-centered environment for veterans.

In a CLC team workroom, 2 nurses were discussing a long-term care resident. The nurses approached the attending physician and explained that they were worried about Sgt Johnson, who seemed depressed and sometimes combative. They had noticed a change in his behavior when they helped him clean up after an episode of incontinence and were concerned that he would try to get out of bed on his own and fall. The attending physician thanked them for sharing their concerns. Sgt Johnson was a retired Army veteran who had a long, decorated military career. His chronic health conditions had led to muscle weakness, and he fell and broke a hip before this admission. He had an uneventful hip replacement but was showing signs of depression due to his limited mobility, loss of independence, and inability to live at home without additional support.

The attending physician knocked on the door of his room, sat down next to the bed, and asked, “How are you feeling today?” Sgt Johnson tersely replied, “About the same.” The physician asked, “Sgt Johnson, what matters most to you related to your recovery? What is important to you?” Sgt Johnson responded, “Feeling like a man!” The doctor replied, “So what makes you feel ‘not like a man’?” The Sgt replied, “Having to be cleaned up by the nurses and not being able to use the toilet on my own.” The physician surmised that his decline in physical functioning had a connection to his worsening depression and combativeness and said to the Sgt, “Let’s get the team together and work out a plan to get you strong enough to use a bedside commode by yourself. Let’s make that the first goal in our plan to get you back to using the toilet independently. Can you work with us on that?” He smiled and said, “Sir, yes Sir!”

At the weekly interdisciplinary team meeting, the team discussed Sgt Johnson’s wishes and the nurses’ safety concerns. The physician reported to the team what mattered to the veteran. The nurses arranged for a bedside commode and supplies to be placed in his room, encouraged and assisted him, and provided a privacy screen. The physical therapist continued to support his mobility needs, concentrating on transfers, small steps like standing and turning with a walker to get in position to use the bedside commode, and later the bathroom toilet. The psychologist addressed what matters to Sgt Johnson and his mentation, health goals, and coping strategies. The social worker provided support and counseling for the veteran and his family. The pharmacist checked his medications to be sure that none were affecting his gastrointestinal tract and his ability to move safely and do what matters to him. Knowing what mattered to Sgt Johnson was the driver of the interdisciplinary care plan to provide 4Ms care.

The team worked collaboratively with the veteran to develop and set attainable goals around toileting and regaining his dignity. This improved his overall recovery. As Sgt Johnson became more independent, his mood gradually improved and he began to participate in other activities and interact with other residents on the unit, and he did not experience any falls. By addressing the 4Ms, the interdisciplinary team coordinated efforts to provide high-quality, person-centered care. They built trust with the veteran, shared accountability, and followed HRO principles to keep the veteran safe.

 

 

Becoming an Age-Friendly HRO

Becoming an HRO is a dynamic, ever-changing process to maintain high standards, improve care quality, and cause no harm. There are 3 pillars and 5 principles that guide an HRO. The pillars are critical areas of focus and include leadership commitment, culture of safety, and continuous process improvement.14 The first of 5 HRO principles is sensitivity to operations. This is defined as an awareness of how processes and systems impact the entire organization, the downstream impact.15 Focusing on the 4Ms helps develop the capability of frontline staff to provide high-quality care for older adults while ensuring that processes are in place to support the work. The 4Ms provide an efficient way to organize interdisciplinary team meetings, provide warm handoffs using Situation-Background-Assessment-Recommendation, and standardize documentation. Involvement in the AFHS movement improves communication, care quality, and patient and staff satisfaction to meet this HRO principle.15

The second HRO principle, reluctance to simplify, ensures that direct care staff and leaders delve further into issues to find solutions.15 AFHS use the Plan-Do-Study-Act cycle to put the 4Ms into practice; this cycle helps teams test small increments of change, study their performance, and act to ensure that all 4Ms are being practiced as a set. AFHS teams are encouraged to review at least 3 months of data after implementation of the 4Ms, working to find solutions if there are gaps or issues identified.

The third principle, preoccupation with failure, refers to shared attentiveness—being prepared for the unexpected and learning from mistakes.15 The entire AFHS team shares responsibility for providing 4Ms care, where staff are empowered to report any safety concerns or close calls. The fourth principle of deference to expertise includes listening to staff who have the most knowledge for the task at hand, which aligns with the collaborative interdisciplinary teamwork of age-friendly teams.15

The final HRO principle, commitment to resilience, includes continuous learning, interdisciplinary team training, and sharing of lessons learned.15 Although IHI offers 2 levels of AFHS recognition, teams are continuously learning to improve and sustain care beyond level 2, Committed to Care Excellence recognition.16

table

The Table shows the VHA’s AFHS implementation strategies and the HRO principles adapted from the Joint Commission’s High Reliability Health Care Maturity Model and the IHI’s Framework for Safe, Reliable, and Effective Care. The VHA is developing a national dashboard to capture age-friendly processes and health outcome measures that address patient safety and care quality.

Conclusions

AFHS empowers VHA teams to honor veterans’ care preferences and values, supporting their independence, dignity, and quality of life across care settings. The adoption of AFHS brings evidence-based practices to the point of care by addressing common pitfalls in the care of older adults, drawing attention to, and calling for action on inappropriate medication use, physical inactivity, and assessment of the vulnerable brain. The 4Ms also serve as a framework to continuously improve care and cause zero harm, reinforcing HRO pillars and principles across the VHA, and ensuring that older adults reliably receive the evidence-based, high-quality care they deserve.

References

1. Veterans Health Administration. Providing healthcare for veterans. Updated June 20, 2023. Accessed June 26, 2023. https://www.va.gov/health

2. Veazie S, Peterson K, Bourne D. Evidence brief: implementation of high reliability organization principles. Washington, DC: Evidence Synthesis Program, Health Services Research and Development Service, Office of Research and Development, Department of Veterans Affairs. VA ESP Project #09-199; 2019. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/esp/high-reliability-org.cfm

3. Church K, Munro S, Shaughnessy M, Clancy C. Age-Friendly Health Systems: improving care for older adults in the Veterans Health Administration. Health Serv Res. 2023;58(suppl 1):5-8. doi:10.1111/1475-6773.14110

4. Farrell TW, Volden TA, Butler JM, et al. Age-friendly care in the Veterans Health Administration: past, present, and future. J Am Geriatr Soc. 2023;71(1):18-25. doi:10.1111/jgs.18070

5. Mate K, Fulmer T, Pelton L, et al. Evidence for the 4Ms: interactions and outcomes across the care continuum. J Aging Health. 2021;33(7-8):469-481. doi:10.1177/0898264321991658

6. Tinetti ME, Naik AD, Dindo L, et al. Association of patient priorities-aligned decision-making with patient outcomes and ambulatory health care burden among older adults with multiple chronic conditions: A nonrandomized clinical trial. JAMA Intern Med. 2019;179(12):1688-1697. doi:10.1001/jamainternmed.2019.4235

7. US Department of Veterans Affairs. What is whole health? Updated: October 31, 2023. November 30, 2023. https://www.va.gov/wholehealth

8. Patient Priorities Care. Updated 2019. Accessed November 30, 2023. https://patientprioritiescare.org

9. Battar S, Watson Dickerson KR, Sedgwick C, Cmelik T. Understanding principles of high reliability organizations through the eyes of VIONE: a clinical program to improve patient safety by deprescribing potentially inappropriate medications and reducing polypharmacy. Fed Pract. 2019;36(12):564-568.

10. VA Diffusion Marketplace. VIONE- medication optimization and polypharmacy reduction initiative. Accessed November 30, 2023. https://marketplace.va.gov/innovations/vione

11. US Department of Veterans Affairs, Office of Research and Development. STRIDE program to keep hospitalized veterans mobile. Updated November 6, 2018. Accessed November 30, 2023. https://www.research.va.gov/research_in_action/STRIDE-program-to-keep-hospitalized-Veterans-mobile.cfm

12. US Department of Veterans Affairs, VA Geriatrics and Extended Care. Gerofit: a program promoting exercise and health for older veterans. Updated August 2, 2023. Accessed November 30, 2023. https://www.va.gov/GERIATRICS/pages/gerofit_Home.asp

13. US Department of Veterans Affairs, Health Services Research and Development. VHA’s vision for a high reliability organization. Updated August 14, 2020. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-1

14. US Department of Veterans Affairs, Health Services Research and Development. Three HRO evaluation priorities. Updated August 14, 2020. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-2

15. Oster CA, Deakins S. Practical application of high-reliability principles in healthcare to optimize quality and safety outcomes. J Nurs Adm. 2018;48(1):50-55. doi:10.1097/NNA.0000000000000570

16. Institute for Healthcare Improvement. Age-Friendly Health Systems recognitions. Accessed November 30, 2023. https://www.ihi.org/Engage/Initiatives/Age-Friendly-Health-Systems/Pages/Recognition.aspx

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Kimberly Church, MSa; Shannon Munro, PhD, APRN, BC, NPb; Laurence M. Solberg, MD, AGSFc;  Erica A. Gruber, A-GNP, BCENd; Marianne Shaughnessy, PhD, AGPCNP-BC, GS-Ca

Correspondence:  Kimberly Church  ([email protected])

aVeterans Health Administration, Office of Geriatrics and Extended Care, Washington, DC

bVeterans Health Administration, Innovation Ecosystem, Washington, DC

cVeterans Health Administration, Geriatrics Research, Education, and Clinical Center, Gainesville, Florida

dRichard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana

Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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The names and details in this case have been modified to protect patient privacy.

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Kimberly Church, MSa; Shannon Munro, PhD, APRN, BC, NPb; Laurence M. Solberg, MD, AGSFc;  Erica A. Gruber, A-GNP, BCENd; Marianne Shaughnessy, PhD, AGPCNP-BC, GS-Ca

Correspondence:  Kimberly Church  ([email protected])

aVeterans Health Administration, Office of Geriatrics and Extended Care, Washington, DC

bVeterans Health Administration, Innovation Ecosystem, Washington, DC

cVeterans Health Administration, Geriatrics Research, Education, and Clinical Center, Gainesville, Florida

dRichard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana

Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent
The names and details in this case have been modified to protect patient privacy.

Author and Disclosure Information

Kimberly Church, MSa; Shannon Munro, PhD, APRN, BC, NPb; Laurence M. Solberg, MD, AGSFc;  Erica A. Gruber, A-GNP, BCENd; Marianne Shaughnessy, PhD, AGPCNP-BC, GS-Ca

Correspondence:  Kimberly Church  ([email protected])

aVeterans Health Administration, Office of Geriatrics and Extended Care, Washington, DC

bVeterans Health Administration, Innovation Ecosystem, Washington, DC

cVeterans Health Administration, Geriatrics Research, Education, and Clinical Center, Gainesville, Florida

dRichard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana

Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the U.S. Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent
The names and details in this case have been modified to protect patient privacy.

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Article PDF

The Veterans Health Administration (VHA) is the largest integrated health care system in the US, providing care to more than 9 million enrolled veterans at 1298 facilities.1 In February 2019, the VHA identified key action steps to become a high reliability organization (HRO), transforming how employees think about patient safety and care quality.2 The VHA is also working toward becoming the largest age-friendly health system in the US to be recognized by the Institute for Healthcare Improvement (IHI) for its commitment to providing care guided by the 4Ms (what matters, medication, mentation, and mobility), causing no harm, and aligning care with what matters to older veterans.3 In this article, we describe how the Age-Friendly Health Systems (AFHS) movement supports the culture shift observed in HROs.

Age-Friendly Veteran Care

By 2060, the US population of adults aged ≥ 65 years is projected to increase to about 95 million.3 In the VHA, nearly half of veteran enrollees are aged ≥ 65 years, necessitating evidence-based models of care, such as the 4Ms, to meet their complex care needs.3 Historically, the VHA has been a leader in caring for older adults, recognizing the value of age-friendly care for veterans.4 In 1975, the VHA established the Geriatric Research, Education, and Clinical Centers (GRECCs) to serve as catalysts for developing, implementing, and refining enduring models of geriatric care.4 For 5 decades, GRECCs have driven innovations related to the 4Ms.

The VHA is well positioned to be a leader in the AFHS movement, building on decades of GRECC innovations and geriatric programs that align with the 4Ms and providing specialized geriatric training for health care professionals to expand age-friendly care to new settings and health systems.4 The AFHS movement organizes the 4Ms into a simple framework for frontline staff, and the VHA has recently begun tracking 4Ms care in the electronic health record (EHR) to facilitate evaluation and continuous improvement.

AFHS use the 4Ms as a framework to be implemented in every care setting, from the emergency department to inpatient units, outpatient settings, and postacute and long-term care. By assessing and acting on each M and practicing the 4Ms collectively, all members of the care team work to improve health outcomes and prevent avoidable harm.5

The 4Ms

What matters, is the driver of this person-centered approach. Any member of the care team may initiate a what matters conversation with the older adult to understand their personal values, health goals, and care preferences. When compared with usual care, care aligned with the older adult’s health priorities has been shown to decrease the use of high-risk medications and reduce treatment burden.6 The VHA has adopted Whole Health principles of care and the Patient Priorities Care approach to identify and support what matters to veterans.7,8

Addressing polypharmacy and identifying and deprescribing potentially inappropriate medications are essential in preventing adverse drug events, drug-drug interactions, and medication nonadherence.9 In the VHA, VIONE (Vital, Important, Optional, Not indicated, Every medication has an indication) is a rapidly expanding medication deprescribing program that exemplifies HRO principles.9 VIONE provides medication management that supports shared decision making, reducing risk and improving patient safety and quality of life.9 As of June 2023, > 600,000 unique veterans have benefited from VIONE, with an average of 2.2 medications deprescribed per patient with an annual cost avoidance of > $100 million.10

Assessing and acting on mentation includes preventing, identifying, and managing depression and dementia in outpatient settings and delirium in hospital and long-term care settings.5 There are many tools and clinical reminders available in the EHR so that interdisciplinary teams can document changes to mentation and identify opportunities for continuous improvement.

Closely aligned with mentation is mobility, with evidence suggesting that regular physical activity reduces the risk of falls (preventing associated complications), maintains physical functioning, and lowers the risk of cognitive impairment and depression.5 Ensuring early, frequent, and safe mobility helps patients achieve better health outcomes and prevent injury.5 Mobility programs within the VHA include the STRIDEprogram for the inpatient setting and Gerofit for outpatient settings.11,12

 

 

HRO Principles

An HRO is a complex environment of care that experiences fewer than anticipated accidents or adverse events by (1) establishing trust among leaders and staff by balancing individual accountability with systems thinking; (2) empowering staff to lead continuous process improvements; and (3) creating an environment where employees feel safe to report harm or near misses, focusing on the reasons errors occur.13 The work of AFHS incorporates HRO principles with an emphasis on 3 elements. First, it involves interactive systems and processes needed to support 4Ms care across care settings. Second, AFHS acknowledge the complexity of age-friendly work and deference to the expertise of interdisciplinary team members. Finally, AFHS are committed to resilience by overcoming failures and challenges to implementation and long-term sustainment as a standard of practice.

Case study

The names and details in this case have been modified to protect patient privacy. It is representative of many Community Living Centers (CLCs) involved in AFHS that work to create a safe, person-centered environment for veterans.

In a CLC team workroom, 2 nurses were discussing a long-term care resident. The nurses approached the attending physician and explained that they were worried about Sgt Johnson, who seemed depressed and sometimes combative. They had noticed a change in his behavior when they helped him clean up after an episode of incontinence and were concerned that he would try to get out of bed on his own and fall. The attending physician thanked them for sharing their concerns. Sgt Johnson was a retired Army veteran who had a long, decorated military career. His chronic health conditions had led to muscle weakness, and he fell and broke a hip before this admission. He had an uneventful hip replacement but was showing signs of depression due to his limited mobility, loss of independence, and inability to live at home without additional support.

The attending physician knocked on the door of his room, sat down next to the bed, and asked, “How are you feeling today?” Sgt Johnson tersely replied, “About the same.” The physician asked, “Sgt Johnson, what matters most to you related to your recovery? What is important to you?” Sgt Johnson responded, “Feeling like a man!” The doctor replied, “So what makes you feel ‘not like a man’?” The Sgt replied, “Having to be cleaned up by the nurses and not being able to use the toilet on my own.” The physician surmised that his decline in physical functioning had a connection to his worsening depression and combativeness and said to the Sgt, “Let’s get the team together and work out a plan to get you strong enough to use a bedside commode by yourself. Let’s make that the first goal in our plan to get you back to using the toilet independently. Can you work with us on that?” He smiled and said, “Sir, yes Sir!”

At the weekly interdisciplinary team meeting, the team discussed Sgt Johnson’s wishes and the nurses’ safety concerns. The physician reported to the team what mattered to the veteran. The nurses arranged for a bedside commode and supplies to be placed in his room, encouraged and assisted him, and provided a privacy screen. The physical therapist continued to support his mobility needs, concentrating on transfers, small steps like standing and turning with a walker to get in position to use the bedside commode, and later the bathroom toilet. The psychologist addressed what matters to Sgt Johnson and his mentation, health goals, and coping strategies. The social worker provided support and counseling for the veteran and his family. The pharmacist checked his medications to be sure that none were affecting his gastrointestinal tract and his ability to move safely and do what matters to him. Knowing what mattered to Sgt Johnson was the driver of the interdisciplinary care plan to provide 4Ms care.

The team worked collaboratively with the veteran to develop and set attainable goals around toileting and regaining his dignity. This improved his overall recovery. As Sgt Johnson became more independent, his mood gradually improved and he began to participate in other activities and interact with other residents on the unit, and he did not experience any falls. By addressing the 4Ms, the interdisciplinary team coordinated efforts to provide high-quality, person-centered care. They built trust with the veteran, shared accountability, and followed HRO principles to keep the veteran safe.

 

 

Becoming an Age-Friendly HRO

Becoming an HRO is a dynamic, ever-changing process to maintain high standards, improve care quality, and cause no harm. There are 3 pillars and 5 principles that guide an HRO. The pillars are critical areas of focus and include leadership commitment, culture of safety, and continuous process improvement.14 The first of 5 HRO principles is sensitivity to operations. This is defined as an awareness of how processes and systems impact the entire organization, the downstream impact.15 Focusing on the 4Ms helps develop the capability of frontline staff to provide high-quality care for older adults while ensuring that processes are in place to support the work. The 4Ms provide an efficient way to organize interdisciplinary team meetings, provide warm handoffs using Situation-Background-Assessment-Recommendation, and standardize documentation. Involvement in the AFHS movement improves communication, care quality, and patient and staff satisfaction to meet this HRO principle.15

The second HRO principle, reluctance to simplify, ensures that direct care staff and leaders delve further into issues to find solutions.15 AFHS use the Plan-Do-Study-Act cycle to put the 4Ms into practice; this cycle helps teams test small increments of change, study their performance, and act to ensure that all 4Ms are being practiced as a set. AFHS teams are encouraged to review at least 3 months of data after implementation of the 4Ms, working to find solutions if there are gaps or issues identified.

The third principle, preoccupation with failure, refers to shared attentiveness—being prepared for the unexpected and learning from mistakes.15 The entire AFHS team shares responsibility for providing 4Ms care, where staff are empowered to report any safety concerns or close calls. The fourth principle of deference to expertise includes listening to staff who have the most knowledge for the task at hand, which aligns with the collaborative interdisciplinary teamwork of age-friendly teams.15

The final HRO principle, commitment to resilience, includes continuous learning, interdisciplinary team training, and sharing of lessons learned.15 Although IHI offers 2 levels of AFHS recognition, teams are continuously learning to improve and sustain care beyond level 2, Committed to Care Excellence recognition.16

table

The Table shows the VHA’s AFHS implementation strategies and the HRO principles adapted from the Joint Commission’s High Reliability Health Care Maturity Model and the IHI’s Framework for Safe, Reliable, and Effective Care. The VHA is developing a national dashboard to capture age-friendly processes and health outcome measures that address patient safety and care quality.

Conclusions

AFHS empowers VHA teams to honor veterans’ care preferences and values, supporting their independence, dignity, and quality of life across care settings. The adoption of AFHS brings evidence-based practices to the point of care by addressing common pitfalls in the care of older adults, drawing attention to, and calling for action on inappropriate medication use, physical inactivity, and assessment of the vulnerable brain. The 4Ms also serve as a framework to continuously improve care and cause zero harm, reinforcing HRO pillars and principles across the VHA, and ensuring that older adults reliably receive the evidence-based, high-quality care they deserve.

The Veterans Health Administration (VHA) is the largest integrated health care system in the US, providing care to more than 9 million enrolled veterans at 1298 facilities.1 In February 2019, the VHA identified key action steps to become a high reliability organization (HRO), transforming how employees think about patient safety and care quality.2 The VHA is also working toward becoming the largest age-friendly health system in the US to be recognized by the Institute for Healthcare Improvement (IHI) for its commitment to providing care guided by the 4Ms (what matters, medication, mentation, and mobility), causing no harm, and aligning care with what matters to older veterans.3 In this article, we describe how the Age-Friendly Health Systems (AFHS) movement supports the culture shift observed in HROs.

Age-Friendly Veteran Care

By 2060, the US population of adults aged ≥ 65 years is projected to increase to about 95 million.3 In the VHA, nearly half of veteran enrollees are aged ≥ 65 years, necessitating evidence-based models of care, such as the 4Ms, to meet their complex care needs.3 Historically, the VHA has been a leader in caring for older adults, recognizing the value of age-friendly care for veterans.4 In 1975, the VHA established the Geriatric Research, Education, and Clinical Centers (GRECCs) to serve as catalysts for developing, implementing, and refining enduring models of geriatric care.4 For 5 decades, GRECCs have driven innovations related to the 4Ms.

The VHA is well positioned to be a leader in the AFHS movement, building on decades of GRECC innovations and geriatric programs that align with the 4Ms and providing specialized geriatric training for health care professionals to expand age-friendly care to new settings and health systems.4 The AFHS movement organizes the 4Ms into a simple framework for frontline staff, and the VHA has recently begun tracking 4Ms care in the electronic health record (EHR) to facilitate evaluation and continuous improvement.

AFHS use the 4Ms as a framework to be implemented in every care setting, from the emergency department to inpatient units, outpatient settings, and postacute and long-term care. By assessing and acting on each M and practicing the 4Ms collectively, all members of the care team work to improve health outcomes and prevent avoidable harm.5

The 4Ms

What matters, is the driver of this person-centered approach. Any member of the care team may initiate a what matters conversation with the older adult to understand their personal values, health goals, and care preferences. When compared with usual care, care aligned with the older adult’s health priorities has been shown to decrease the use of high-risk medications and reduce treatment burden.6 The VHA has adopted Whole Health principles of care and the Patient Priorities Care approach to identify and support what matters to veterans.7,8

Addressing polypharmacy and identifying and deprescribing potentially inappropriate medications are essential in preventing adverse drug events, drug-drug interactions, and medication nonadherence.9 In the VHA, VIONE (Vital, Important, Optional, Not indicated, Every medication has an indication) is a rapidly expanding medication deprescribing program that exemplifies HRO principles.9 VIONE provides medication management that supports shared decision making, reducing risk and improving patient safety and quality of life.9 As of June 2023, > 600,000 unique veterans have benefited from VIONE, with an average of 2.2 medications deprescribed per patient with an annual cost avoidance of > $100 million.10

Assessing and acting on mentation includes preventing, identifying, and managing depression and dementia in outpatient settings and delirium in hospital and long-term care settings.5 There are many tools and clinical reminders available in the EHR so that interdisciplinary teams can document changes to mentation and identify opportunities for continuous improvement.

Closely aligned with mentation is mobility, with evidence suggesting that regular physical activity reduces the risk of falls (preventing associated complications), maintains physical functioning, and lowers the risk of cognitive impairment and depression.5 Ensuring early, frequent, and safe mobility helps patients achieve better health outcomes and prevent injury.5 Mobility programs within the VHA include the STRIDEprogram for the inpatient setting and Gerofit for outpatient settings.11,12

 

 

HRO Principles

An HRO is a complex environment of care that experiences fewer than anticipated accidents or adverse events by (1) establishing trust among leaders and staff by balancing individual accountability with systems thinking; (2) empowering staff to lead continuous process improvements; and (3) creating an environment where employees feel safe to report harm or near misses, focusing on the reasons errors occur.13 The work of AFHS incorporates HRO principles with an emphasis on 3 elements. First, it involves interactive systems and processes needed to support 4Ms care across care settings. Second, AFHS acknowledge the complexity of age-friendly work and deference to the expertise of interdisciplinary team members. Finally, AFHS are committed to resilience by overcoming failures and challenges to implementation and long-term sustainment as a standard of practice.

Case study

The names and details in this case have been modified to protect patient privacy. It is representative of many Community Living Centers (CLCs) involved in AFHS that work to create a safe, person-centered environment for veterans.

In a CLC team workroom, 2 nurses were discussing a long-term care resident. The nurses approached the attending physician and explained that they were worried about Sgt Johnson, who seemed depressed and sometimes combative. They had noticed a change in his behavior when they helped him clean up after an episode of incontinence and were concerned that he would try to get out of bed on his own and fall. The attending physician thanked them for sharing their concerns. Sgt Johnson was a retired Army veteran who had a long, decorated military career. His chronic health conditions had led to muscle weakness, and he fell and broke a hip before this admission. He had an uneventful hip replacement but was showing signs of depression due to his limited mobility, loss of independence, and inability to live at home without additional support.

The attending physician knocked on the door of his room, sat down next to the bed, and asked, “How are you feeling today?” Sgt Johnson tersely replied, “About the same.” The physician asked, “Sgt Johnson, what matters most to you related to your recovery? What is important to you?” Sgt Johnson responded, “Feeling like a man!” The doctor replied, “So what makes you feel ‘not like a man’?” The Sgt replied, “Having to be cleaned up by the nurses and not being able to use the toilet on my own.” The physician surmised that his decline in physical functioning had a connection to his worsening depression and combativeness and said to the Sgt, “Let’s get the team together and work out a plan to get you strong enough to use a bedside commode by yourself. Let’s make that the first goal in our plan to get you back to using the toilet independently. Can you work with us on that?” He smiled and said, “Sir, yes Sir!”

At the weekly interdisciplinary team meeting, the team discussed Sgt Johnson’s wishes and the nurses’ safety concerns. The physician reported to the team what mattered to the veteran. The nurses arranged for a bedside commode and supplies to be placed in his room, encouraged and assisted him, and provided a privacy screen. The physical therapist continued to support his mobility needs, concentrating on transfers, small steps like standing and turning with a walker to get in position to use the bedside commode, and later the bathroom toilet. The psychologist addressed what matters to Sgt Johnson and his mentation, health goals, and coping strategies. The social worker provided support and counseling for the veteran and his family. The pharmacist checked his medications to be sure that none were affecting his gastrointestinal tract and his ability to move safely and do what matters to him. Knowing what mattered to Sgt Johnson was the driver of the interdisciplinary care plan to provide 4Ms care.

The team worked collaboratively with the veteran to develop and set attainable goals around toileting and regaining his dignity. This improved his overall recovery. As Sgt Johnson became more independent, his mood gradually improved and he began to participate in other activities and interact with other residents on the unit, and he did not experience any falls. By addressing the 4Ms, the interdisciplinary team coordinated efforts to provide high-quality, person-centered care. They built trust with the veteran, shared accountability, and followed HRO principles to keep the veteran safe.

 

 

Becoming an Age-Friendly HRO

Becoming an HRO is a dynamic, ever-changing process to maintain high standards, improve care quality, and cause no harm. There are 3 pillars and 5 principles that guide an HRO. The pillars are critical areas of focus and include leadership commitment, culture of safety, and continuous process improvement.14 The first of 5 HRO principles is sensitivity to operations. This is defined as an awareness of how processes and systems impact the entire organization, the downstream impact.15 Focusing on the 4Ms helps develop the capability of frontline staff to provide high-quality care for older adults while ensuring that processes are in place to support the work. The 4Ms provide an efficient way to organize interdisciplinary team meetings, provide warm handoffs using Situation-Background-Assessment-Recommendation, and standardize documentation. Involvement in the AFHS movement improves communication, care quality, and patient and staff satisfaction to meet this HRO principle.15

The second HRO principle, reluctance to simplify, ensures that direct care staff and leaders delve further into issues to find solutions.15 AFHS use the Plan-Do-Study-Act cycle to put the 4Ms into practice; this cycle helps teams test small increments of change, study their performance, and act to ensure that all 4Ms are being practiced as a set. AFHS teams are encouraged to review at least 3 months of data after implementation of the 4Ms, working to find solutions if there are gaps or issues identified.

The third principle, preoccupation with failure, refers to shared attentiveness—being prepared for the unexpected and learning from mistakes.15 The entire AFHS team shares responsibility for providing 4Ms care, where staff are empowered to report any safety concerns or close calls. The fourth principle of deference to expertise includes listening to staff who have the most knowledge for the task at hand, which aligns with the collaborative interdisciplinary teamwork of age-friendly teams.15

The final HRO principle, commitment to resilience, includes continuous learning, interdisciplinary team training, and sharing of lessons learned.15 Although IHI offers 2 levels of AFHS recognition, teams are continuously learning to improve and sustain care beyond level 2, Committed to Care Excellence recognition.16

table

The Table shows the VHA’s AFHS implementation strategies and the HRO principles adapted from the Joint Commission’s High Reliability Health Care Maturity Model and the IHI’s Framework for Safe, Reliable, and Effective Care. The VHA is developing a national dashboard to capture age-friendly processes and health outcome measures that address patient safety and care quality.

Conclusions

AFHS empowers VHA teams to honor veterans’ care preferences and values, supporting their independence, dignity, and quality of life across care settings. The adoption of AFHS brings evidence-based practices to the point of care by addressing common pitfalls in the care of older adults, drawing attention to, and calling for action on inappropriate medication use, physical inactivity, and assessment of the vulnerable brain. The 4Ms also serve as a framework to continuously improve care and cause zero harm, reinforcing HRO pillars and principles across the VHA, and ensuring that older adults reliably receive the evidence-based, high-quality care they deserve.

References

1. Veterans Health Administration. Providing healthcare for veterans. Updated June 20, 2023. Accessed June 26, 2023. https://www.va.gov/health

2. Veazie S, Peterson K, Bourne D. Evidence brief: implementation of high reliability organization principles. Washington, DC: Evidence Synthesis Program, Health Services Research and Development Service, Office of Research and Development, Department of Veterans Affairs. VA ESP Project #09-199; 2019. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/esp/high-reliability-org.cfm

3. Church K, Munro S, Shaughnessy M, Clancy C. Age-Friendly Health Systems: improving care for older adults in the Veterans Health Administration. Health Serv Res. 2023;58(suppl 1):5-8. doi:10.1111/1475-6773.14110

4. Farrell TW, Volden TA, Butler JM, et al. Age-friendly care in the Veterans Health Administration: past, present, and future. J Am Geriatr Soc. 2023;71(1):18-25. doi:10.1111/jgs.18070

5. Mate K, Fulmer T, Pelton L, et al. Evidence for the 4Ms: interactions and outcomes across the care continuum. J Aging Health. 2021;33(7-8):469-481. doi:10.1177/0898264321991658

6. Tinetti ME, Naik AD, Dindo L, et al. Association of patient priorities-aligned decision-making with patient outcomes and ambulatory health care burden among older adults with multiple chronic conditions: A nonrandomized clinical trial. JAMA Intern Med. 2019;179(12):1688-1697. doi:10.1001/jamainternmed.2019.4235

7. US Department of Veterans Affairs. What is whole health? Updated: October 31, 2023. November 30, 2023. https://www.va.gov/wholehealth

8. Patient Priorities Care. Updated 2019. Accessed November 30, 2023. https://patientprioritiescare.org

9. Battar S, Watson Dickerson KR, Sedgwick C, Cmelik T. Understanding principles of high reliability organizations through the eyes of VIONE: a clinical program to improve patient safety by deprescribing potentially inappropriate medications and reducing polypharmacy. Fed Pract. 2019;36(12):564-568.

10. VA Diffusion Marketplace. VIONE- medication optimization and polypharmacy reduction initiative. Accessed November 30, 2023. https://marketplace.va.gov/innovations/vione

11. US Department of Veterans Affairs, Office of Research and Development. STRIDE program to keep hospitalized veterans mobile. Updated November 6, 2018. Accessed November 30, 2023. https://www.research.va.gov/research_in_action/STRIDE-program-to-keep-hospitalized-Veterans-mobile.cfm

12. US Department of Veterans Affairs, VA Geriatrics and Extended Care. Gerofit: a program promoting exercise and health for older veterans. Updated August 2, 2023. Accessed November 30, 2023. https://www.va.gov/GERIATRICS/pages/gerofit_Home.asp

13. US Department of Veterans Affairs, Health Services Research and Development. VHA’s vision for a high reliability organization. Updated August 14, 2020. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-1

14. US Department of Veterans Affairs, Health Services Research and Development. Three HRO evaluation priorities. Updated August 14, 2020. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-2

15. Oster CA, Deakins S. Practical application of high-reliability principles in healthcare to optimize quality and safety outcomes. J Nurs Adm. 2018;48(1):50-55. doi:10.1097/NNA.0000000000000570

16. Institute for Healthcare Improvement. Age-Friendly Health Systems recognitions. Accessed November 30, 2023. https://www.ihi.org/Engage/Initiatives/Age-Friendly-Health-Systems/Pages/Recognition.aspx

References

1. Veterans Health Administration. Providing healthcare for veterans. Updated June 20, 2023. Accessed June 26, 2023. https://www.va.gov/health

2. Veazie S, Peterson K, Bourne D. Evidence brief: implementation of high reliability organization principles. Washington, DC: Evidence Synthesis Program, Health Services Research and Development Service, Office of Research and Development, Department of Veterans Affairs. VA ESP Project #09-199; 2019. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/esp/high-reliability-org.cfm

3. Church K, Munro S, Shaughnessy M, Clancy C. Age-Friendly Health Systems: improving care for older adults in the Veterans Health Administration. Health Serv Res. 2023;58(suppl 1):5-8. doi:10.1111/1475-6773.14110

4. Farrell TW, Volden TA, Butler JM, et al. Age-friendly care in the Veterans Health Administration: past, present, and future. J Am Geriatr Soc. 2023;71(1):18-25. doi:10.1111/jgs.18070

5. Mate K, Fulmer T, Pelton L, et al. Evidence for the 4Ms: interactions and outcomes across the care continuum. J Aging Health. 2021;33(7-8):469-481. doi:10.1177/0898264321991658

6. Tinetti ME, Naik AD, Dindo L, et al. Association of patient priorities-aligned decision-making with patient outcomes and ambulatory health care burden among older adults with multiple chronic conditions: A nonrandomized clinical trial. JAMA Intern Med. 2019;179(12):1688-1697. doi:10.1001/jamainternmed.2019.4235

7. US Department of Veterans Affairs. What is whole health? Updated: October 31, 2023. November 30, 2023. https://www.va.gov/wholehealth

8. Patient Priorities Care. Updated 2019. Accessed November 30, 2023. https://patientprioritiescare.org

9. Battar S, Watson Dickerson KR, Sedgwick C, Cmelik T. Understanding principles of high reliability organizations through the eyes of VIONE: a clinical program to improve patient safety by deprescribing potentially inappropriate medications and reducing polypharmacy. Fed Pract. 2019;36(12):564-568.

10. VA Diffusion Marketplace. VIONE- medication optimization and polypharmacy reduction initiative. Accessed November 30, 2023. https://marketplace.va.gov/innovations/vione

11. US Department of Veterans Affairs, Office of Research and Development. STRIDE program to keep hospitalized veterans mobile. Updated November 6, 2018. Accessed November 30, 2023. https://www.research.va.gov/research_in_action/STRIDE-program-to-keep-hospitalized-Veterans-mobile.cfm

12. US Department of Veterans Affairs, VA Geriatrics and Extended Care. Gerofit: a program promoting exercise and health for older veterans. Updated August 2, 2023. Accessed November 30, 2023. https://www.va.gov/GERIATRICS/pages/gerofit_Home.asp

13. US Department of Veterans Affairs, Health Services Research and Development. VHA’s vision for a high reliability organization. Updated August 14, 2020. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-1

14. US Department of Veterans Affairs, Health Services Research and Development. Three HRO evaluation priorities. Updated August 14, 2020. Accessed November 30, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-2

15. Oster CA, Deakins S. Practical application of high-reliability principles in healthcare to optimize quality and safety outcomes. J Nurs Adm. 2018;48(1):50-55. doi:10.1097/NNA.0000000000000570

16. Institute for Healthcare Improvement. Age-Friendly Health Systems recognitions. Accessed November 30, 2023. https://www.ihi.org/Engage/Initiatives/Age-Friendly-Health-Systems/Pages/Recognition.aspx

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Building Tailored Resource Guides to Address Social Risks and Advance Health Equity in the Veterans Health Administration

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Social risk factors and social needs have significant, often cumulative, impacts on health outcomes and are closely tied to health inequities. Defined as the individual-level adverse social conditions associated with poor health, social risk factors broadly include experiences such as food insecurity and housing instability; whereas the term social needs incorporates a person’s perceptions of and priorities related to their health-related needs.1 One recent study examining data from the Veterans Health Administration (VHA) found a 27% higher odds of mortality with each additional identified social risk, underscoring the critical link between social risks and veteran health outcomes.2

Assessing Circumstances and Offering Resources for Needs (ACORN), a collaborative quality improvement initiative conducted in partnership with the VHA Office of Health Equity and VHA National Social Work Program, Care Management and Social Work Services, is a social risk screening and referral program that aims to systematically identify and address unmet social needs among veterans to improve health and advance health equity.3,4 ACORN consists of 2 components: (1) a veteran-tailored screener to identify social risks within 9 domains; and (2) provision of relevant VA and community resources and referrals to address identified needs.3,5 Veterans who screen positive for ≥ 1 need receive referrals to a social worker or other relevant services, such as nutrition and food services or mental health, support navigating resources, and/or geographically tailored resource guides. This article describes the development and use of resource guides as a cross-cutting intervention component to address unmet social needs in diverse clinical settings and shares lessons learned from implementation in VHA outpatient clinics.

BACKGROUND

Unequal distribution of resources combined with historical discriminatory policies and practices, often linked to institutionalized racism, create inequities that lead to health disparities and hinder advancements in population health.6,7 Although health care systems alone cannot eliminate all health inequities, they can implement programs to identify social risks and address individual-level needs as 1 component of the multilevel approach needed to achieve health equity.8

As a national health care system serving > 9 million veterans, the VHA is well positioned to address social needs as an essential part of health. The VHA routinely screens for certain social risks, including housing instability, food insecurity, and intimate partner violence, and has a robust system of supports to address these and other needs among veterans, such as supportive housing services, vocational rehabilitation, assistance for justice-involved veterans, technology access support, and peer-support services.9-11 However, the VHA lacks a systematic approach to broader screening for social risks.

To address this gap, ACORN was developed in 2018 by an advisory board of subject matter experts, including clinical leaders, clinical psychologists, social workers, and health services researchers with content expertise in social risks and social needs.3 This interprofessional team sought to develop a veteran-tailored screener and resource referral initiative that could be scaled efficiently across VHA clinical settings.

Although health care organizations are increasingly implementing screening and interventions for social risks within clinical care, best practices and evidence-based tools to support clinical staff in these efforts are limited.12 Resource guides—curated lists of supportive services and organizations—may serve as a scalable “low-touch” intervention to help clinical staff address needs either alone or with more intensive interventions, such as social worker case management or patient navigation services.13

RESOURCE GUIDES—A Cross-Cutting Tool

The VHA has a uniquely robust network of nearly 18,000 social workers with clinical expertise in identifying, comprehensively assessing, and addressing social risks and needs among veterans. Interprofessional patient aligned care teams (PACTs)—a patient-centered medical home initiative that includes embedding social workers into primary care teams—facilitate the VHA’s capacity to address both medical and social needs.14 Social workers in PACTs and other care settings provide in-depth assessment and case management services to veterans who have a range of complex social needs. However, despite these comprehensive social services, in the setting of universal screening with a tool such as ACORN, it may not be feasible or practical to refer all patients who screen positive to a social worker for immediate follow-up, particularly in settings with capacity or resource limitations. For example, rates of screening positive on ACORN for ≥ 1 social risk have ranged from 48% of veterans in primary care sites and 80% in social work sites to nearly 100% in a PACT clinic for veterans experiencing homelessness.15

Additionally, a key challenge in the design of social needs interventions is determining how to optimize intervention intensity based on individual patient needs, acuity, and preferences. A substantial proportion of individuals who screen positive for social risks decline offered assistance, such as referrals.16 Resource guides are a cross-cutting tool that can be offered to veterans across a variety of settings, including primary care, specialty clinics, or emergency departments, as either a standalone intervention or one provided in combination with other resources or services. For patients who may not be interested in or feel comfortable accepting assistance at the time of screening or for those who prefer to research and navigate resources on their own, tailored resource guides can serve as a lower touch intervention to ensure interprofessional clinical staff across a range of settings and specialties have accessible, reliable, and up-to-date information to give to patients at the point of clinical care.17

Resource guides also can be used with higher touch clinical social work interventions, such as crisis management, supportive counseling, and case management. For example, social workers can use resource guides to provide education on VHA or community resources during clinical encounters with veterans and/or provide the guides to veterans to reference for future needs. Resource guides can further be used as a tool to support community resource navigation provided by nonclinical staff, such as peer specialists or community health workers.

 

 

How to BUILD RESOURCE GUIDES

acorn hr

Our team created resource guides (Figure) to provide veterans with concise, geographically tailored lists of VHA and other federal, state, and community services for the social risk domains included on the ACORN screener. To inform and develop a framework for building and maintaining ACORN guides, we first reviewed existing models that use this approach, including Boston Medical Center's WE CARE (Well Child Care, Evaluation, Community Resources, Advocacy, Referral, Education) and Thrive programs. We provide an overview of our process, which can be applied to clinical settings both within and outside the VHA.18,19

Partnerships

Active collaboration with frontline clinical social workers and local social work leadership is a critical part of identifying and prioritizing quality resources. Equipped with the knowledge of the local resource landscape, social workers can provide recommendations pertaining to national or federal, state, and local programs that have a history of being responsive to patients’ expressed needs.20 VHA social workers have robust knowledge of the veteran-specific resources available at VHA medical centers and nationally, and their clinical training equips them with the expertise to provide guidance about which resources to prioritize for inclusion in the guides.20

After receiving initial guidance from clinical social workers, our team began outreach to compile detailed program information, gauge program serviceability, and build relationships with both VHA and community-based services. Aligning with programs that share a similar mission in addressing social needs has proved crucial when developing the resource guides. Beyond ensuring the accuracy of program information, regular contact provides an opportunity to address capacity and workflow concerns that may arise from increased referrals. Additionally, open lines of communication with various supportive services facilitate connections with additional organizations and resources within the area.

The value of these relationships was evident at the onset of the COVID-19 pandemic, when the ACORN resource guides in use by our clinical site partners required frequent modifications to reflect rapid changes in services (eg, closures, transition to fully virtual programs, social distancing and masking requirements). Having established connections with community organizations was essential to navigating the evolving landscape of available programs and supports.

Curating Quality Resources

ACORN currently screens for social risks in 9 domains: food, housing, utilities, transportation, education, employment, legal, social isolation/loneliness, and digital needs. Each resource guide pertains to a specific social risk domain and associated question(s) in the screener, allowing staff to quickly identify which guides a veteran may benefit from based on their screening responses. The guides are meant to be short and comprehensive but not exhaustive lists of programs and services. We limit the length of the guides to one single-sided page to provide high-yield, geographically tailored resources in an easy-to-use format. The guides should reflect the geographic area served by the VHA medical center or the community-based outpatient clinic (CBOC) where a veteran receives clinical care, but they also may include national- and state-level resources that provide services and programs to veterans.

table

Although there is local variation in the availability and accessibility of services across social risk domains, some domains have an abundance of resources and organizations at federal or national, state, and/or community levels. To narrow the list of resources to the highest yield programs, we developed a series of questions that serve as selection criteria to inform resource inclusion (Table).

Because the resource guides are intended to be broadly applicable to a large number of veterans, we prioritize generalizable resources over those with narrow eligibility criteria and/or services. When more intensive support is needed, social workers and other VHA clinical and nonclinical staff can supplement the resources on the guides with additional, more tailored resources that are based on individual factors, such as physical residence, income, transportation access, or household composition (eg, veteran families with children or older adults).

 

 

Formatting Resource Guides

Along with relevant information, such as the program name, location, and a specific point of contact, brief program descriptions provide information about services offered, eligibility criteria, application requirements, alternate contacts and locations, and website links. At the bottom of each guide, a section is included with the name and direct contact information for a social worker (often the individual assigned to the clinic where the veteran completed the ACORN screener) or another VHA staff member who can be reached for further assistance. These staff members are familiar with the content included on the guides and provide veterans with additional information or higher touch support as necessary. This contact information is useful for veterans who initially decline assistance or referrals but later want to follow up with staff for support or questions.

Visual consistency is a key feature of the ACORN resource guides, and layout and design elements are used to maximize space and enhance usability. Corresponding font colors for all program titles, contact information, and website links assist in visually separating and drawing attention to pertinent contact information. QR codes linked to program websites also are incorporated for veterans to easily access resource information from their smartphone or other electronic device.

Maintaining Resource Guides

To ensure continued accuracy, resource guides are updated about every 6 months to reflect changes in closures, transitions to virtual/in-person services, changes in location, new points of contact, and modifications to services or eligibility requirements. Notations also are made if any changes to services or eligibility are temporary or permanent. Recording these temporary adjustments was critical early in the COVID-19 pandemic as service offerings, eligibility requirements, and application processes changed often.

Updating the guides also facilitates continuous relationship building and connections with VHA and community-based services. Resource guides are living documents: they maintain lines of communication with designated contacts, allow for opportunities to improve the presentation of evolving program information in the guides, and offer the chance to learn about additional programs in the area that may meet veterans' needs.

Creating a Manual for ACORN Resource Guide Development

To facilitate dissemination of ACORN across VHA clinical settings and locations, our team developed a Resource Guide Manual to aid ACORN clinical sites in developing resource guides.21 The manual provides step-by-step guidance from recommendations for identifying resources to formatting and layout considerations. Supplemental materials include a checklist to ensure each program description includes the necessary information for veterans to successfully access the resource, as well as page templates and style suggestions to maximize usability. These templates standardize formatting across the social risk domain guides and include options for electronic and paper distribution.

RESOURCE GUIDE LIMITATIONS

The labor involved in building and maintaining multiple guides is considerable and requires a time investment both upfront and long term, which may not be feasible for clinical sites with limited staff. However, many VHA social workers maintain lists of resource and referral services for veterans as part of their routine clinical case management. These lists can serve as a valuable and timesaving starting point in curating high-yield resources for formal resource guides. To further reduce the time needed to develop guides, sites can use ACORN resource guide templates rather than designing and formatting guides from scratch. In addition to informing veterans of relevant services and programs, resource guides also can be provided to new staff, such as social workers or peer specialists, during onboarding to help familiarize them with available services to address veterans’ unmet needs.

 

 

Resources included on the guides also are geographically tailored, based on the physical location of the VHA medical center or CBOC. Some community-based services listed may not be as relevant, accessible, available, or convenient to veterans who live far from the clinic, which is relevant for nearly 25% of veterans who live in rural communities.22 This is a circumstance in which the expertise of VHA social workers should be used to recommend more appropriately tailored resources to a veteran. Use of free, publicly available electronic resource databases (eg, 211 Helpline Center) also can provide social workers and patients with an overview of all available resources within their community. There are paid referral platform services that health systems can contract with as well.23 However, the potential drawbacks to these alternative platforms include high startup costs or costly user-license fees for medical centers or clinics, inconsistent updates to resource information, and lack of compatibility with some electronic health record systems.23

Resource guides are not intended to take the place of a clinical social worker or other health professional but rather to serve in a supplemental capacity to clinical services. Certain circumstances necessitate a more comprehensive clinical assessment and/or a warm handoff to a social worker, including assistance with urgent food or housing needs, and ACORN workflows are created with urgent needs pathways in mind. Determining how to optimize intervention intensity based on individual patients’ expressed needs, preferences, and acuity remains a challenge for health care organizations conducting social risk screening.12 While distribution of geographically tailored resource guides can be a useful low touch intervention for some veterans, others will require more intensive case management to address or meet their needs. Some veterans also may fall in the middle of this spectrum, where a resource guide is not enough but intensive case management services facilitated by social workers are not needed or wanted by the patient. Integration of peer specialists, patient navigators, or community health workers who can work with veterans to support them in identifying, connecting with, and receiving support from relevant programs may help fill this gap. Given their knowledge and lived experience, these professionals also can promote patient-centered care as part of the health care team.

CONCLUSIONS

Whether used as a low-touch, standalone intervention or in combination with higher touch services (eg, case management or resource navigation), resource guides are a valuable tool for health care organizations working to address social needs as a component of efforts to advance health equity, reduce health disparities, and promote population health. We provide a pragmatic framework for developing and maintaining resource guides used in the ACORN initiative. However, additional work is needed to optimize the design, content, and format of resource guides for both usability and effectiveness as a social risk intervention across health care settings.

Acknowledgments

We express our gratitude for the Veterans Health Administration (VHA) Office of Health Equity and the VHA National Social Work Program, Care Management and Social Work Services for their support of the Assessing Circumstances and Offering Resources for Needs (ACORN) initiative. We also express our appreciation for those who supported the initial screener development as part of the ACORN Advisory Board, including Stacey Curran, BA; Charles Drebing, PhD; J. Stewart Evans, MD, MSc; Edward Federman, PhD; Maneesha Gulati, LICSW, ACSW; Nancy Kressin, PhD; Kenneth Link, LICSW; Monica Sharma, MD; and Jacqueline Spencer, MD, MPH. We also express our appreciation for those who supported the initial ACORN resource guide development, including Chuck Drebing, PhD, Ed Federman, PhD, and Ken Link, LICSW, and for the clinical care team members, especially the social workers and nurses, at our ACORN partner sites as well as the community-based partners who have helped us develop comprehensive resource guides for veterans. This work was supported by funding from the VHA Office of Health Equity and by resources and use of facilities at the VA Bedford Healthcare System, VA New England Healthcare System, and VA Providence Healthcare System. Alicia J. Cohen was additionally supported by a VA HSR&D Career Development Award (CDA 20-037).

References

1. Alderwick H, Gottlieb LM. Meanings and misunderstandings: a social determinants of health lexicon for health care systems. Milbank Q. 2019;97(2):407-419. doi:10.1111/1468-0009.12390

2. Blosnich JM, Montgomery AE, Taylor LD, Dichter ME. Adverse social factors and all-cause mortality among male and female patients receiving care in the Veterans Health Administration. Prev Med. 2020;141:106272. doi:10.1016/j.ypmed.2020.106272

3. Russell LE, Cohen AJ, Chrzas S, et al. Implementing a social needs screening and referral program among veterans: Assessing Circumstances & Offering Resources for Needs (ACORN). J Gen Intern Med. 2023;38(13):2906-2913. doi:10.1007/s11606-023-08181-9

4. Cohen AJ, Russell LE, Elwy AR, et al. Adaptation of a social risk screening and referral initiative across clinical populations, settings, and contexts in the Department of Veterans Affairs Health System. Front Health Serv. 2023;2. doi:10.3389/frhs.2022.958969

5. Cohen AJ, Kennedy MA, Mitchell KM, Russell LE. The Assessing Circumstances & Offering Resources for Needs (ACORN) initiative. Updated September 2022. Accessed December 4, 2023. https://www.va.gov/HEALTHEQUITY/docs/ACORN_Screening_Tool.pdf

6. Jones CP. Levels of racism: a theoretic framework and a gardener’s tale. Am J Public Health. 2000;90(8):1212-1215. doi:10.2105/ajph.90.8.1212

7. American Public Health Association. Creating the healthiest nation: advancing health equity. Accessed November 28, 2023. https://www.apha.org/-/media/files/pdf/factsheets/advancing_health_equity.ashx?la=en&hash=9144021FDA33B4E7E02447CB28CA3F9D4BE5EF18

8. Castrucci B, Auerbach J. Meeting individual social needs falls short of addressing social determinants of health. Health Aff. Published January 16, 2019. doi:10.1377/hblog20190115.234942

9. Montgomery AE, Fargo JD, Byrne TH, Kane VR, Culhane DP. Universal screening for homelessness and risk for homelessness in the Veterans Health Administration. Am J Public Health. 2013;103(suppl 2):S210-211. doi:10.2105/AJPH.2013.301398

10. Cohen AJ, Rudolph JL, Thomas KS, et al. Food insecurity among veterans: resources to screen and intervene. Fed Pract. 2020;37(1):16-23.

11. Iverson KM, Adjognon O, Grillo AR, et al. Intimate partner violence screening programs in the Veterans Health Administration: informing scale-up of successful practices. J Gen Intern Med. 2019;34(11):2435-2442. doi:10.1007/s11606-019-05240-y

12. National Academies of Sciences, Engineering, and Medicine. Integrating Social Care into the Delivery of Health Care: Moving Upstream to Improve the Nation’s Health. The National Academies Press; 2019. Accessed November 28, 2023. https://nap.nationalacademies.org/catalog/25467/integrating-social-care-into-the-delivery-of-health-care-moving

13. Gottlieb LM, Adler NE, Wing H, et al. Effects of in-person assistance vs personalized written resources about social services on household social risks and child and caregiver health: a randomized clinical trial. JAMA Netw Open. 2020;3(3):e200701. doi:10.1001/jamanetworkopen.2020.0701

14. Cornell PY, Halladay CW, Ader J, et al. Embedding social workers in Veterans Health Administration primary care teams reduces emergency department visits. Health Aff (Millwood). 2020;39(4):603-612. doi:10.1377/hlthaff.2019.01589

15. Cohen AJ, Bruton M, Hooshyar D. US Department of Veterans Affairs, Office of Health Services Research and Development. The WHO’s greatest ICD-10 hits for fiscal year 2022: social determinants of health. Published March 9, 2022. Updated November 6, 2023. Accessed December 4, 2023. https://www.hsrd.research.va.gov/for_researchers/cyber_seminars/archives/video_archive.cfm?SessionID=4125

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16. De Marchis EH, Alderwick H, Gottlieb LM. Do patients want help addressing social risks? J Am Board Fam Med. 2020;33(2):170-175. doi:10.3122/jabfm.2020.02.190309

17. Cohen AJ, Isaacson N, Torby M, Smith A, Zhang G, Patel MR. Motivators, barriers, and preferences to engagement with offered social care assistance among people with diabetes: a mixed methods study. Am J Prev Med. 2022;63(3, suppl 2):S152-S163. doi:10.1016/j.amepre.2022.02.022

18. Buitron de la Vega P, Losi S, Sprague Martinez L, et al. Implementing an EHR-based screening and referral system to address social determinants of health in primary care. Med Care. 2019;57(suppl 6, suppl 2):S133-S139. doi:10.1097/MLR.0000000000001029

19. Boston Medical Center. The WE CARE Model. Accessed November 28, 2023. https://www.bmc.org/pediatrics-primary-care/we-care/we-care-model

20. US Department of Veterans Affairs, Office of Rural Health. VA social work. Updated July 11, 2023. Accessed December 4, 2023. https://www.socialwork.va.gov

21. Mitchell KM, Russell LE, Cohen AJ, Kennedy MA. Building ACORN resource guides for veterans. Accessed November 28, 2023. https://www.va.gov/HEALTHEQUITY/docs/ACORN_Resource_Guide_Manual.pdf

22. US Department of Veterans Affairs, Veterans Health Administration, Office of Rural Health. Rural Veterans. Accessed November 28, 2023. https://www.ruralhealth.va.gov/aboutus/ruralvets.asp

23. Cartier Y, Fichtenberg C, Gottlieb L. Community resource referral platforms: a guide for health care organizations. Published 2019. Accessed December 4, 2023. https://sirenetwork.ucsf.edu/tools-resources/resources/community-resource-referral-platforms-guide-health-care-organizations

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Author and Disclosure Information

Lauren E. Russell, MPH, MPPa*; Kathleen M. Mitchell, MPHb*; Meaghan A. Kennedy, MD, MPHb,c; Steven Chrzas, MPHd;  Lisa Soleymani Lehmann, PhD, MD, MSce,f; Jennifer W. Silva, LCSW-Sg; Ernest Moy, MD, MPHa; Alicia J. Cohen, MD, MSch,i,j

Correspondence:  Kathleen Mitchell ([email protected])

*Contributed equally as  co-first authors.

aOffice of Health Equity, Veterans Health Administration, Department of Veterans Affairs, Washington, DC

bGeriatric Research, Education, and Clinical Center, VA Bedford Healthcare System, Massachusetts

cBoston University Chobanian & Avedisian School of Medicine, Massachusetts

dVA Connecticut Healthcare System, West Haven, Connecticut

eHarvard Medical School, Boston, Massachusetts

fHarvard T.H. Chan School of Public Health, Boston, Massachusetts

gNational Social Work Program Office, Care Management and Social Work, Patient Care Services, Department of Veterans Affairs, Washington, DC

hVA Health Services Research & Development Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, Rhode Island

iWarren Alpert Medical School of Brown University, Providence, Rhode Island

jBrown University School of Public Health, Providence, Rhode Island

Author disclosures

The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

This article does not involve patient care or data and does not require patient consent.

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Lauren E. Russell, MPH, MPPa*; Kathleen M. Mitchell, MPHb*; Meaghan A. Kennedy, MD, MPHb,c; Steven Chrzas, MPHd;  Lisa Soleymani Lehmann, PhD, MD, MSce,f; Jennifer W. Silva, LCSW-Sg; Ernest Moy, MD, MPHa; Alicia J. Cohen, MD, MSch,i,j

Correspondence:  Kathleen Mitchell ([email protected])

*Contributed equally as  co-first authors.

aOffice of Health Equity, Veterans Health Administration, Department of Veterans Affairs, Washington, DC

bGeriatric Research, Education, and Clinical Center, VA Bedford Healthcare System, Massachusetts

cBoston University Chobanian & Avedisian School of Medicine, Massachusetts

dVA Connecticut Healthcare System, West Haven, Connecticut

eHarvard Medical School, Boston, Massachusetts

fHarvard T.H. Chan School of Public Health, Boston, Massachusetts

gNational Social Work Program Office, Care Management and Social Work, Patient Care Services, Department of Veterans Affairs, Washington, DC

hVA Health Services Research & Development Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, Rhode Island

iWarren Alpert Medical School of Brown University, Providence, Rhode Island

jBrown University School of Public Health, Providence, Rhode Island

Author disclosures

The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

This article does not involve patient care or data and does not require patient consent.

Author and Disclosure Information

Lauren E. Russell, MPH, MPPa*; Kathleen M. Mitchell, MPHb*; Meaghan A. Kennedy, MD, MPHb,c; Steven Chrzas, MPHd;  Lisa Soleymani Lehmann, PhD, MD, MSce,f; Jennifer W. Silva, LCSW-Sg; Ernest Moy, MD, MPHa; Alicia J. Cohen, MD, MSch,i,j

Correspondence:  Kathleen Mitchell ([email protected])

*Contributed equally as  co-first authors.

aOffice of Health Equity, Veterans Health Administration, Department of Veterans Affairs, Washington, DC

bGeriatric Research, Education, and Clinical Center, VA Bedford Healthcare System, Massachusetts

cBoston University Chobanian & Avedisian School of Medicine, Massachusetts

dVA Connecticut Healthcare System, West Haven, Connecticut

eHarvard Medical School, Boston, Massachusetts

fHarvard T.H. Chan School of Public Health, Boston, Massachusetts

gNational Social Work Program Office, Care Management and Social Work, Patient Care Services, Department of Veterans Affairs, Washington, DC

hVA Health Services Research & Development Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, Rhode Island

iWarren Alpert Medical School of Brown University, Providence, Rhode Island

jBrown University School of Public Health, Providence, Rhode Island

Author disclosures

The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent

This article does not involve patient care or data and does not require patient consent.

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Social risk factors and social needs have significant, often cumulative, impacts on health outcomes and are closely tied to health inequities. Defined as the individual-level adverse social conditions associated with poor health, social risk factors broadly include experiences such as food insecurity and housing instability; whereas the term social needs incorporates a person’s perceptions of and priorities related to their health-related needs.1 One recent study examining data from the Veterans Health Administration (VHA) found a 27% higher odds of mortality with each additional identified social risk, underscoring the critical link between social risks and veteran health outcomes.2

Assessing Circumstances and Offering Resources for Needs (ACORN), a collaborative quality improvement initiative conducted in partnership with the VHA Office of Health Equity and VHA National Social Work Program, Care Management and Social Work Services, is a social risk screening and referral program that aims to systematically identify and address unmet social needs among veterans to improve health and advance health equity.3,4 ACORN consists of 2 components: (1) a veteran-tailored screener to identify social risks within 9 domains; and (2) provision of relevant VA and community resources and referrals to address identified needs.3,5 Veterans who screen positive for ≥ 1 need receive referrals to a social worker or other relevant services, such as nutrition and food services or mental health, support navigating resources, and/or geographically tailored resource guides. This article describes the development and use of resource guides as a cross-cutting intervention component to address unmet social needs in diverse clinical settings and shares lessons learned from implementation in VHA outpatient clinics.

BACKGROUND

Unequal distribution of resources combined with historical discriminatory policies and practices, often linked to institutionalized racism, create inequities that lead to health disparities and hinder advancements in population health.6,7 Although health care systems alone cannot eliminate all health inequities, they can implement programs to identify social risks and address individual-level needs as 1 component of the multilevel approach needed to achieve health equity.8

As a national health care system serving > 9 million veterans, the VHA is well positioned to address social needs as an essential part of health. The VHA routinely screens for certain social risks, including housing instability, food insecurity, and intimate partner violence, and has a robust system of supports to address these and other needs among veterans, such as supportive housing services, vocational rehabilitation, assistance for justice-involved veterans, technology access support, and peer-support services.9-11 However, the VHA lacks a systematic approach to broader screening for social risks.

To address this gap, ACORN was developed in 2018 by an advisory board of subject matter experts, including clinical leaders, clinical psychologists, social workers, and health services researchers with content expertise in social risks and social needs.3 This interprofessional team sought to develop a veteran-tailored screener and resource referral initiative that could be scaled efficiently across VHA clinical settings.

Although health care organizations are increasingly implementing screening and interventions for social risks within clinical care, best practices and evidence-based tools to support clinical staff in these efforts are limited.12 Resource guides—curated lists of supportive services and organizations—may serve as a scalable “low-touch” intervention to help clinical staff address needs either alone or with more intensive interventions, such as social worker case management or patient navigation services.13

RESOURCE GUIDES—A Cross-Cutting Tool

The VHA has a uniquely robust network of nearly 18,000 social workers with clinical expertise in identifying, comprehensively assessing, and addressing social risks and needs among veterans. Interprofessional patient aligned care teams (PACTs)—a patient-centered medical home initiative that includes embedding social workers into primary care teams—facilitate the VHA’s capacity to address both medical and social needs.14 Social workers in PACTs and other care settings provide in-depth assessment and case management services to veterans who have a range of complex social needs. However, despite these comprehensive social services, in the setting of universal screening with a tool such as ACORN, it may not be feasible or practical to refer all patients who screen positive to a social worker for immediate follow-up, particularly in settings with capacity or resource limitations. For example, rates of screening positive on ACORN for ≥ 1 social risk have ranged from 48% of veterans in primary care sites and 80% in social work sites to nearly 100% in a PACT clinic for veterans experiencing homelessness.15

Additionally, a key challenge in the design of social needs interventions is determining how to optimize intervention intensity based on individual patient needs, acuity, and preferences. A substantial proportion of individuals who screen positive for social risks decline offered assistance, such as referrals.16 Resource guides are a cross-cutting tool that can be offered to veterans across a variety of settings, including primary care, specialty clinics, or emergency departments, as either a standalone intervention or one provided in combination with other resources or services. For patients who may not be interested in or feel comfortable accepting assistance at the time of screening or for those who prefer to research and navigate resources on their own, tailored resource guides can serve as a lower touch intervention to ensure interprofessional clinical staff across a range of settings and specialties have accessible, reliable, and up-to-date information to give to patients at the point of clinical care.17

Resource guides also can be used with higher touch clinical social work interventions, such as crisis management, supportive counseling, and case management. For example, social workers can use resource guides to provide education on VHA or community resources during clinical encounters with veterans and/or provide the guides to veterans to reference for future needs. Resource guides can further be used as a tool to support community resource navigation provided by nonclinical staff, such as peer specialists or community health workers.

 

 

How to BUILD RESOURCE GUIDES

acorn hr

Our team created resource guides (Figure) to provide veterans with concise, geographically tailored lists of VHA and other federal, state, and community services for the social risk domains included on the ACORN screener. To inform and develop a framework for building and maintaining ACORN guides, we first reviewed existing models that use this approach, including Boston Medical Center's WE CARE (Well Child Care, Evaluation, Community Resources, Advocacy, Referral, Education) and Thrive programs. We provide an overview of our process, which can be applied to clinical settings both within and outside the VHA.18,19

Partnerships

Active collaboration with frontline clinical social workers and local social work leadership is a critical part of identifying and prioritizing quality resources. Equipped with the knowledge of the local resource landscape, social workers can provide recommendations pertaining to national or federal, state, and local programs that have a history of being responsive to patients’ expressed needs.20 VHA social workers have robust knowledge of the veteran-specific resources available at VHA medical centers and nationally, and their clinical training equips them with the expertise to provide guidance about which resources to prioritize for inclusion in the guides.20

After receiving initial guidance from clinical social workers, our team began outreach to compile detailed program information, gauge program serviceability, and build relationships with both VHA and community-based services. Aligning with programs that share a similar mission in addressing social needs has proved crucial when developing the resource guides. Beyond ensuring the accuracy of program information, regular contact provides an opportunity to address capacity and workflow concerns that may arise from increased referrals. Additionally, open lines of communication with various supportive services facilitate connections with additional organizations and resources within the area.

The value of these relationships was evident at the onset of the COVID-19 pandemic, when the ACORN resource guides in use by our clinical site partners required frequent modifications to reflect rapid changes in services (eg, closures, transition to fully virtual programs, social distancing and masking requirements). Having established connections with community organizations was essential to navigating the evolving landscape of available programs and supports.

Curating Quality Resources

ACORN currently screens for social risks in 9 domains: food, housing, utilities, transportation, education, employment, legal, social isolation/loneliness, and digital needs. Each resource guide pertains to a specific social risk domain and associated question(s) in the screener, allowing staff to quickly identify which guides a veteran may benefit from based on their screening responses. The guides are meant to be short and comprehensive but not exhaustive lists of programs and services. We limit the length of the guides to one single-sided page to provide high-yield, geographically tailored resources in an easy-to-use format. The guides should reflect the geographic area served by the VHA medical center or the community-based outpatient clinic (CBOC) where a veteran receives clinical care, but they also may include national- and state-level resources that provide services and programs to veterans.

table

Although there is local variation in the availability and accessibility of services across social risk domains, some domains have an abundance of resources and organizations at federal or national, state, and/or community levels. To narrow the list of resources to the highest yield programs, we developed a series of questions that serve as selection criteria to inform resource inclusion (Table).

Because the resource guides are intended to be broadly applicable to a large number of veterans, we prioritize generalizable resources over those with narrow eligibility criteria and/or services. When more intensive support is needed, social workers and other VHA clinical and nonclinical staff can supplement the resources on the guides with additional, more tailored resources that are based on individual factors, such as physical residence, income, transportation access, or household composition (eg, veteran families with children or older adults).

 

 

Formatting Resource Guides

Along with relevant information, such as the program name, location, and a specific point of contact, brief program descriptions provide information about services offered, eligibility criteria, application requirements, alternate contacts and locations, and website links. At the bottom of each guide, a section is included with the name and direct contact information for a social worker (often the individual assigned to the clinic where the veteran completed the ACORN screener) or another VHA staff member who can be reached for further assistance. These staff members are familiar with the content included on the guides and provide veterans with additional information or higher touch support as necessary. This contact information is useful for veterans who initially decline assistance or referrals but later want to follow up with staff for support or questions.

Visual consistency is a key feature of the ACORN resource guides, and layout and design elements are used to maximize space and enhance usability. Corresponding font colors for all program titles, contact information, and website links assist in visually separating and drawing attention to pertinent contact information. QR codes linked to program websites also are incorporated for veterans to easily access resource information from their smartphone or other electronic device.

Maintaining Resource Guides

To ensure continued accuracy, resource guides are updated about every 6 months to reflect changes in closures, transitions to virtual/in-person services, changes in location, new points of contact, and modifications to services or eligibility requirements. Notations also are made if any changes to services or eligibility are temporary or permanent. Recording these temporary adjustments was critical early in the COVID-19 pandemic as service offerings, eligibility requirements, and application processes changed often.

Updating the guides also facilitates continuous relationship building and connections with VHA and community-based services. Resource guides are living documents: they maintain lines of communication with designated contacts, allow for opportunities to improve the presentation of evolving program information in the guides, and offer the chance to learn about additional programs in the area that may meet veterans' needs.

Creating a Manual for ACORN Resource Guide Development

To facilitate dissemination of ACORN across VHA clinical settings and locations, our team developed a Resource Guide Manual to aid ACORN clinical sites in developing resource guides.21 The manual provides step-by-step guidance from recommendations for identifying resources to formatting and layout considerations. Supplemental materials include a checklist to ensure each program description includes the necessary information for veterans to successfully access the resource, as well as page templates and style suggestions to maximize usability. These templates standardize formatting across the social risk domain guides and include options for electronic and paper distribution.

RESOURCE GUIDE LIMITATIONS

The labor involved in building and maintaining multiple guides is considerable and requires a time investment both upfront and long term, which may not be feasible for clinical sites with limited staff. However, many VHA social workers maintain lists of resource and referral services for veterans as part of their routine clinical case management. These lists can serve as a valuable and timesaving starting point in curating high-yield resources for formal resource guides. To further reduce the time needed to develop guides, sites can use ACORN resource guide templates rather than designing and formatting guides from scratch. In addition to informing veterans of relevant services and programs, resource guides also can be provided to new staff, such as social workers or peer specialists, during onboarding to help familiarize them with available services to address veterans’ unmet needs.

 

 

Resources included on the guides also are geographically tailored, based on the physical location of the VHA medical center or CBOC. Some community-based services listed may not be as relevant, accessible, available, or convenient to veterans who live far from the clinic, which is relevant for nearly 25% of veterans who live in rural communities.22 This is a circumstance in which the expertise of VHA social workers should be used to recommend more appropriately tailored resources to a veteran. Use of free, publicly available electronic resource databases (eg, 211 Helpline Center) also can provide social workers and patients with an overview of all available resources within their community. There are paid referral platform services that health systems can contract with as well.23 However, the potential drawbacks to these alternative platforms include high startup costs or costly user-license fees for medical centers or clinics, inconsistent updates to resource information, and lack of compatibility with some electronic health record systems.23

Resource guides are not intended to take the place of a clinical social worker or other health professional but rather to serve in a supplemental capacity to clinical services. Certain circumstances necessitate a more comprehensive clinical assessment and/or a warm handoff to a social worker, including assistance with urgent food or housing needs, and ACORN workflows are created with urgent needs pathways in mind. Determining how to optimize intervention intensity based on individual patients’ expressed needs, preferences, and acuity remains a challenge for health care organizations conducting social risk screening.12 While distribution of geographically tailored resource guides can be a useful low touch intervention for some veterans, others will require more intensive case management to address or meet their needs. Some veterans also may fall in the middle of this spectrum, where a resource guide is not enough but intensive case management services facilitated by social workers are not needed or wanted by the patient. Integration of peer specialists, patient navigators, or community health workers who can work with veterans to support them in identifying, connecting with, and receiving support from relevant programs may help fill this gap. Given their knowledge and lived experience, these professionals also can promote patient-centered care as part of the health care team.

CONCLUSIONS

Whether used as a low-touch, standalone intervention or in combination with higher touch services (eg, case management or resource navigation), resource guides are a valuable tool for health care organizations working to address social needs as a component of efforts to advance health equity, reduce health disparities, and promote population health. We provide a pragmatic framework for developing and maintaining resource guides used in the ACORN initiative. However, additional work is needed to optimize the design, content, and format of resource guides for both usability and effectiveness as a social risk intervention across health care settings.

Acknowledgments

We express our gratitude for the Veterans Health Administration (VHA) Office of Health Equity and the VHA National Social Work Program, Care Management and Social Work Services for their support of the Assessing Circumstances and Offering Resources for Needs (ACORN) initiative. We also express our appreciation for those who supported the initial screener development as part of the ACORN Advisory Board, including Stacey Curran, BA; Charles Drebing, PhD; J. Stewart Evans, MD, MSc; Edward Federman, PhD; Maneesha Gulati, LICSW, ACSW; Nancy Kressin, PhD; Kenneth Link, LICSW; Monica Sharma, MD; and Jacqueline Spencer, MD, MPH. We also express our appreciation for those who supported the initial ACORN resource guide development, including Chuck Drebing, PhD, Ed Federman, PhD, and Ken Link, LICSW, and for the clinical care team members, especially the social workers and nurses, at our ACORN partner sites as well as the community-based partners who have helped us develop comprehensive resource guides for veterans. This work was supported by funding from the VHA Office of Health Equity and by resources and use of facilities at the VA Bedford Healthcare System, VA New England Healthcare System, and VA Providence Healthcare System. Alicia J. Cohen was additionally supported by a VA HSR&D Career Development Award (CDA 20-037).

Social risk factors and social needs have significant, often cumulative, impacts on health outcomes and are closely tied to health inequities. Defined as the individual-level adverse social conditions associated with poor health, social risk factors broadly include experiences such as food insecurity and housing instability; whereas the term social needs incorporates a person’s perceptions of and priorities related to their health-related needs.1 One recent study examining data from the Veterans Health Administration (VHA) found a 27% higher odds of mortality with each additional identified social risk, underscoring the critical link between social risks and veteran health outcomes.2

Assessing Circumstances and Offering Resources for Needs (ACORN), a collaborative quality improvement initiative conducted in partnership with the VHA Office of Health Equity and VHA National Social Work Program, Care Management and Social Work Services, is a social risk screening and referral program that aims to systematically identify and address unmet social needs among veterans to improve health and advance health equity.3,4 ACORN consists of 2 components: (1) a veteran-tailored screener to identify social risks within 9 domains; and (2) provision of relevant VA and community resources and referrals to address identified needs.3,5 Veterans who screen positive for ≥ 1 need receive referrals to a social worker or other relevant services, such as nutrition and food services or mental health, support navigating resources, and/or geographically tailored resource guides. This article describes the development and use of resource guides as a cross-cutting intervention component to address unmet social needs in diverse clinical settings and shares lessons learned from implementation in VHA outpatient clinics.

BACKGROUND

Unequal distribution of resources combined with historical discriminatory policies and practices, often linked to institutionalized racism, create inequities that lead to health disparities and hinder advancements in population health.6,7 Although health care systems alone cannot eliminate all health inequities, they can implement programs to identify social risks and address individual-level needs as 1 component of the multilevel approach needed to achieve health equity.8

As a national health care system serving > 9 million veterans, the VHA is well positioned to address social needs as an essential part of health. The VHA routinely screens for certain social risks, including housing instability, food insecurity, and intimate partner violence, and has a robust system of supports to address these and other needs among veterans, such as supportive housing services, vocational rehabilitation, assistance for justice-involved veterans, technology access support, and peer-support services.9-11 However, the VHA lacks a systematic approach to broader screening for social risks.

To address this gap, ACORN was developed in 2018 by an advisory board of subject matter experts, including clinical leaders, clinical psychologists, social workers, and health services researchers with content expertise in social risks and social needs.3 This interprofessional team sought to develop a veteran-tailored screener and resource referral initiative that could be scaled efficiently across VHA clinical settings.

Although health care organizations are increasingly implementing screening and interventions for social risks within clinical care, best practices and evidence-based tools to support clinical staff in these efforts are limited.12 Resource guides—curated lists of supportive services and organizations—may serve as a scalable “low-touch” intervention to help clinical staff address needs either alone or with more intensive interventions, such as social worker case management or patient navigation services.13

RESOURCE GUIDES—A Cross-Cutting Tool

The VHA has a uniquely robust network of nearly 18,000 social workers with clinical expertise in identifying, comprehensively assessing, and addressing social risks and needs among veterans. Interprofessional patient aligned care teams (PACTs)—a patient-centered medical home initiative that includes embedding social workers into primary care teams—facilitate the VHA’s capacity to address both medical and social needs.14 Social workers in PACTs and other care settings provide in-depth assessment and case management services to veterans who have a range of complex social needs. However, despite these comprehensive social services, in the setting of universal screening with a tool such as ACORN, it may not be feasible or practical to refer all patients who screen positive to a social worker for immediate follow-up, particularly in settings with capacity or resource limitations. For example, rates of screening positive on ACORN for ≥ 1 social risk have ranged from 48% of veterans in primary care sites and 80% in social work sites to nearly 100% in a PACT clinic for veterans experiencing homelessness.15

Additionally, a key challenge in the design of social needs interventions is determining how to optimize intervention intensity based on individual patient needs, acuity, and preferences. A substantial proportion of individuals who screen positive for social risks decline offered assistance, such as referrals.16 Resource guides are a cross-cutting tool that can be offered to veterans across a variety of settings, including primary care, specialty clinics, or emergency departments, as either a standalone intervention or one provided in combination with other resources or services. For patients who may not be interested in or feel comfortable accepting assistance at the time of screening or for those who prefer to research and navigate resources on their own, tailored resource guides can serve as a lower touch intervention to ensure interprofessional clinical staff across a range of settings and specialties have accessible, reliable, and up-to-date information to give to patients at the point of clinical care.17

Resource guides also can be used with higher touch clinical social work interventions, such as crisis management, supportive counseling, and case management. For example, social workers can use resource guides to provide education on VHA or community resources during clinical encounters with veterans and/or provide the guides to veterans to reference for future needs. Resource guides can further be used as a tool to support community resource navigation provided by nonclinical staff, such as peer specialists or community health workers.

 

 

How to BUILD RESOURCE GUIDES

acorn hr

Our team created resource guides (Figure) to provide veterans with concise, geographically tailored lists of VHA and other federal, state, and community services for the social risk domains included on the ACORN screener. To inform and develop a framework for building and maintaining ACORN guides, we first reviewed existing models that use this approach, including Boston Medical Center's WE CARE (Well Child Care, Evaluation, Community Resources, Advocacy, Referral, Education) and Thrive programs. We provide an overview of our process, which can be applied to clinical settings both within and outside the VHA.18,19

Partnerships

Active collaboration with frontline clinical social workers and local social work leadership is a critical part of identifying and prioritizing quality resources. Equipped with the knowledge of the local resource landscape, social workers can provide recommendations pertaining to national or federal, state, and local programs that have a history of being responsive to patients’ expressed needs.20 VHA social workers have robust knowledge of the veteran-specific resources available at VHA medical centers and nationally, and their clinical training equips them with the expertise to provide guidance about which resources to prioritize for inclusion in the guides.20

After receiving initial guidance from clinical social workers, our team began outreach to compile detailed program information, gauge program serviceability, and build relationships with both VHA and community-based services. Aligning with programs that share a similar mission in addressing social needs has proved crucial when developing the resource guides. Beyond ensuring the accuracy of program information, regular contact provides an opportunity to address capacity and workflow concerns that may arise from increased referrals. Additionally, open lines of communication with various supportive services facilitate connections with additional organizations and resources within the area.

The value of these relationships was evident at the onset of the COVID-19 pandemic, when the ACORN resource guides in use by our clinical site partners required frequent modifications to reflect rapid changes in services (eg, closures, transition to fully virtual programs, social distancing and masking requirements). Having established connections with community organizations was essential to navigating the evolving landscape of available programs and supports.

Curating Quality Resources

ACORN currently screens for social risks in 9 domains: food, housing, utilities, transportation, education, employment, legal, social isolation/loneliness, and digital needs. Each resource guide pertains to a specific social risk domain and associated question(s) in the screener, allowing staff to quickly identify which guides a veteran may benefit from based on their screening responses. The guides are meant to be short and comprehensive but not exhaustive lists of programs and services. We limit the length of the guides to one single-sided page to provide high-yield, geographically tailored resources in an easy-to-use format. The guides should reflect the geographic area served by the VHA medical center or the community-based outpatient clinic (CBOC) where a veteran receives clinical care, but they also may include national- and state-level resources that provide services and programs to veterans.

table

Although there is local variation in the availability and accessibility of services across social risk domains, some domains have an abundance of resources and organizations at federal or national, state, and/or community levels. To narrow the list of resources to the highest yield programs, we developed a series of questions that serve as selection criteria to inform resource inclusion (Table).

Because the resource guides are intended to be broadly applicable to a large number of veterans, we prioritize generalizable resources over those with narrow eligibility criteria and/or services. When more intensive support is needed, social workers and other VHA clinical and nonclinical staff can supplement the resources on the guides with additional, more tailored resources that are based on individual factors, such as physical residence, income, transportation access, or household composition (eg, veteran families with children or older adults).

 

 

Formatting Resource Guides

Along with relevant information, such as the program name, location, and a specific point of contact, brief program descriptions provide information about services offered, eligibility criteria, application requirements, alternate contacts and locations, and website links. At the bottom of each guide, a section is included with the name and direct contact information for a social worker (often the individual assigned to the clinic where the veteran completed the ACORN screener) or another VHA staff member who can be reached for further assistance. These staff members are familiar with the content included on the guides and provide veterans with additional information or higher touch support as necessary. This contact information is useful for veterans who initially decline assistance or referrals but later want to follow up with staff for support or questions.

Visual consistency is a key feature of the ACORN resource guides, and layout and design elements are used to maximize space and enhance usability. Corresponding font colors for all program titles, contact information, and website links assist in visually separating and drawing attention to pertinent contact information. QR codes linked to program websites also are incorporated for veterans to easily access resource information from their smartphone or other electronic device.

Maintaining Resource Guides

To ensure continued accuracy, resource guides are updated about every 6 months to reflect changes in closures, transitions to virtual/in-person services, changes in location, new points of contact, and modifications to services or eligibility requirements. Notations also are made if any changes to services or eligibility are temporary or permanent. Recording these temporary adjustments was critical early in the COVID-19 pandemic as service offerings, eligibility requirements, and application processes changed often.

Updating the guides also facilitates continuous relationship building and connections with VHA and community-based services. Resource guides are living documents: they maintain lines of communication with designated contacts, allow for opportunities to improve the presentation of evolving program information in the guides, and offer the chance to learn about additional programs in the area that may meet veterans' needs.

Creating a Manual for ACORN Resource Guide Development

To facilitate dissemination of ACORN across VHA clinical settings and locations, our team developed a Resource Guide Manual to aid ACORN clinical sites in developing resource guides.21 The manual provides step-by-step guidance from recommendations for identifying resources to formatting and layout considerations. Supplemental materials include a checklist to ensure each program description includes the necessary information for veterans to successfully access the resource, as well as page templates and style suggestions to maximize usability. These templates standardize formatting across the social risk domain guides and include options for electronic and paper distribution.

RESOURCE GUIDE LIMITATIONS

The labor involved in building and maintaining multiple guides is considerable and requires a time investment both upfront and long term, which may not be feasible for clinical sites with limited staff. However, many VHA social workers maintain lists of resource and referral services for veterans as part of their routine clinical case management. These lists can serve as a valuable and timesaving starting point in curating high-yield resources for formal resource guides. To further reduce the time needed to develop guides, sites can use ACORN resource guide templates rather than designing and formatting guides from scratch. In addition to informing veterans of relevant services and programs, resource guides also can be provided to new staff, such as social workers or peer specialists, during onboarding to help familiarize them with available services to address veterans’ unmet needs.

 

 

Resources included on the guides also are geographically tailored, based on the physical location of the VHA medical center or CBOC. Some community-based services listed may not be as relevant, accessible, available, or convenient to veterans who live far from the clinic, which is relevant for nearly 25% of veterans who live in rural communities.22 This is a circumstance in which the expertise of VHA social workers should be used to recommend more appropriately tailored resources to a veteran. Use of free, publicly available electronic resource databases (eg, 211 Helpline Center) also can provide social workers and patients with an overview of all available resources within their community. There are paid referral platform services that health systems can contract with as well.23 However, the potential drawbacks to these alternative platforms include high startup costs or costly user-license fees for medical centers or clinics, inconsistent updates to resource information, and lack of compatibility with some electronic health record systems.23

Resource guides are not intended to take the place of a clinical social worker or other health professional but rather to serve in a supplemental capacity to clinical services. Certain circumstances necessitate a more comprehensive clinical assessment and/or a warm handoff to a social worker, including assistance with urgent food or housing needs, and ACORN workflows are created with urgent needs pathways in mind. Determining how to optimize intervention intensity based on individual patients’ expressed needs, preferences, and acuity remains a challenge for health care organizations conducting social risk screening.12 While distribution of geographically tailored resource guides can be a useful low touch intervention for some veterans, others will require more intensive case management to address or meet their needs. Some veterans also may fall in the middle of this spectrum, where a resource guide is not enough but intensive case management services facilitated by social workers are not needed or wanted by the patient. Integration of peer specialists, patient navigators, or community health workers who can work with veterans to support them in identifying, connecting with, and receiving support from relevant programs may help fill this gap. Given their knowledge and lived experience, these professionals also can promote patient-centered care as part of the health care team.

CONCLUSIONS

Whether used as a low-touch, standalone intervention or in combination with higher touch services (eg, case management or resource navigation), resource guides are a valuable tool for health care organizations working to address social needs as a component of efforts to advance health equity, reduce health disparities, and promote population health. We provide a pragmatic framework for developing and maintaining resource guides used in the ACORN initiative. However, additional work is needed to optimize the design, content, and format of resource guides for both usability and effectiveness as a social risk intervention across health care settings.

Acknowledgments

We express our gratitude for the Veterans Health Administration (VHA) Office of Health Equity and the VHA National Social Work Program, Care Management and Social Work Services for their support of the Assessing Circumstances and Offering Resources for Needs (ACORN) initiative. We also express our appreciation for those who supported the initial screener development as part of the ACORN Advisory Board, including Stacey Curran, BA; Charles Drebing, PhD; J. Stewart Evans, MD, MSc; Edward Federman, PhD; Maneesha Gulati, LICSW, ACSW; Nancy Kressin, PhD; Kenneth Link, LICSW; Monica Sharma, MD; and Jacqueline Spencer, MD, MPH. We also express our appreciation for those who supported the initial ACORN resource guide development, including Chuck Drebing, PhD, Ed Federman, PhD, and Ken Link, LICSW, and for the clinical care team members, especially the social workers and nurses, at our ACORN partner sites as well as the community-based partners who have helped us develop comprehensive resource guides for veterans. This work was supported by funding from the VHA Office of Health Equity and by resources and use of facilities at the VA Bedford Healthcare System, VA New England Healthcare System, and VA Providence Healthcare System. Alicia J. Cohen was additionally supported by a VA HSR&D Career Development Award (CDA 20-037).

References

1. Alderwick H, Gottlieb LM. Meanings and misunderstandings: a social determinants of health lexicon for health care systems. Milbank Q. 2019;97(2):407-419. doi:10.1111/1468-0009.12390

2. Blosnich JM, Montgomery AE, Taylor LD, Dichter ME. Adverse social factors and all-cause mortality among male and female patients receiving care in the Veterans Health Administration. Prev Med. 2020;141:106272. doi:10.1016/j.ypmed.2020.106272

3. Russell LE, Cohen AJ, Chrzas S, et al. Implementing a social needs screening and referral program among veterans: Assessing Circumstances & Offering Resources for Needs (ACORN). J Gen Intern Med. 2023;38(13):2906-2913. doi:10.1007/s11606-023-08181-9

4. Cohen AJ, Russell LE, Elwy AR, et al. Adaptation of a social risk screening and referral initiative across clinical populations, settings, and contexts in the Department of Veterans Affairs Health System. Front Health Serv. 2023;2. doi:10.3389/frhs.2022.958969

5. Cohen AJ, Kennedy MA, Mitchell KM, Russell LE. The Assessing Circumstances & Offering Resources for Needs (ACORN) initiative. Updated September 2022. Accessed December 4, 2023. https://www.va.gov/HEALTHEQUITY/docs/ACORN_Screening_Tool.pdf

6. Jones CP. Levels of racism: a theoretic framework and a gardener’s tale. Am J Public Health. 2000;90(8):1212-1215. doi:10.2105/ajph.90.8.1212

7. American Public Health Association. Creating the healthiest nation: advancing health equity. Accessed November 28, 2023. https://www.apha.org/-/media/files/pdf/factsheets/advancing_health_equity.ashx?la=en&hash=9144021FDA33B4E7E02447CB28CA3F9D4BE5EF18

8. Castrucci B, Auerbach J. Meeting individual social needs falls short of addressing social determinants of health. Health Aff. Published January 16, 2019. doi:10.1377/hblog20190115.234942

9. Montgomery AE, Fargo JD, Byrne TH, Kane VR, Culhane DP. Universal screening for homelessness and risk for homelessness in the Veterans Health Administration. Am J Public Health. 2013;103(suppl 2):S210-211. doi:10.2105/AJPH.2013.301398

10. Cohen AJ, Rudolph JL, Thomas KS, et al. Food insecurity among veterans: resources to screen and intervene. Fed Pract. 2020;37(1):16-23.

11. Iverson KM, Adjognon O, Grillo AR, et al. Intimate partner violence screening programs in the Veterans Health Administration: informing scale-up of successful practices. J Gen Intern Med. 2019;34(11):2435-2442. doi:10.1007/s11606-019-05240-y

12. National Academies of Sciences, Engineering, and Medicine. Integrating Social Care into the Delivery of Health Care: Moving Upstream to Improve the Nation’s Health. The National Academies Press; 2019. Accessed November 28, 2023. https://nap.nationalacademies.org/catalog/25467/integrating-social-care-into-the-delivery-of-health-care-moving

13. Gottlieb LM, Adler NE, Wing H, et al. Effects of in-person assistance vs personalized written resources about social services on household social risks and child and caregiver health: a randomized clinical trial. JAMA Netw Open. 2020;3(3):e200701. doi:10.1001/jamanetworkopen.2020.0701

14. Cornell PY, Halladay CW, Ader J, et al. Embedding social workers in Veterans Health Administration primary care teams reduces emergency department visits. Health Aff (Millwood). 2020;39(4):603-612. doi:10.1377/hlthaff.2019.01589

15. Cohen AJ, Bruton M, Hooshyar D. US Department of Veterans Affairs, Office of Health Services Research and Development. The WHO’s greatest ICD-10 hits for fiscal year 2022: social determinants of health. Published March 9, 2022. Updated November 6, 2023. Accessed December 4, 2023. https://www.hsrd.research.va.gov/for_researchers/cyber_seminars/archives/video_archive.cfm?SessionID=4125

<--pagebreak-->

16. De Marchis EH, Alderwick H, Gottlieb LM. Do patients want help addressing social risks? J Am Board Fam Med. 2020;33(2):170-175. doi:10.3122/jabfm.2020.02.190309

17. Cohen AJ, Isaacson N, Torby M, Smith A, Zhang G, Patel MR. Motivators, barriers, and preferences to engagement with offered social care assistance among people with diabetes: a mixed methods study. Am J Prev Med. 2022;63(3, suppl 2):S152-S163. doi:10.1016/j.amepre.2022.02.022

18. Buitron de la Vega P, Losi S, Sprague Martinez L, et al. Implementing an EHR-based screening and referral system to address social determinants of health in primary care. Med Care. 2019;57(suppl 6, suppl 2):S133-S139. doi:10.1097/MLR.0000000000001029

19. Boston Medical Center. The WE CARE Model. Accessed November 28, 2023. https://www.bmc.org/pediatrics-primary-care/we-care/we-care-model

20. US Department of Veterans Affairs, Office of Rural Health. VA social work. Updated July 11, 2023. Accessed December 4, 2023. https://www.socialwork.va.gov

21. Mitchell KM, Russell LE, Cohen AJ, Kennedy MA. Building ACORN resource guides for veterans. Accessed November 28, 2023. https://www.va.gov/HEALTHEQUITY/docs/ACORN_Resource_Guide_Manual.pdf

22. US Department of Veterans Affairs, Veterans Health Administration, Office of Rural Health. Rural Veterans. Accessed November 28, 2023. https://www.ruralhealth.va.gov/aboutus/ruralvets.asp

23. Cartier Y, Fichtenberg C, Gottlieb L. Community resource referral platforms: a guide for health care organizations. Published 2019. Accessed December 4, 2023. https://sirenetwork.ucsf.edu/tools-resources/resources/community-resource-referral-platforms-guide-health-care-organizations

References

1. Alderwick H, Gottlieb LM. Meanings and misunderstandings: a social determinants of health lexicon for health care systems. Milbank Q. 2019;97(2):407-419. doi:10.1111/1468-0009.12390

2. Blosnich JM, Montgomery AE, Taylor LD, Dichter ME. Adverse social factors and all-cause mortality among male and female patients receiving care in the Veterans Health Administration. Prev Med. 2020;141:106272. doi:10.1016/j.ypmed.2020.106272

3. Russell LE, Cohen AJ, Chrzas S, et al. Implementing a social needs screening and referral program among veterans: Assessing Circumstances & Offering Resources for Needs (ACORN). J Gen Intern Med. 2023;38(13):2906-2913. doi:10.1007/s11606-023-08181-9

4. Cohen AJ, Russell LE, Elwy AR, et al. Adaptation of a social risk screening and referral initiative across clinical populations, settings, and contexts in the Department of Veterans Affairs Health System. Front Health Serv. 2023;2. doi:10.3389/frhs.2022.958969

5. Cohen AJ, Kennedy MA, Mitchell KM, Russell LE. The Assessing Circumstances & Offering Resources for Needs (ACORN) initiative. Updated September 2022. Accessed December 4, 2023. https://www.va.gov/HEALTHEQUITY/docs/ACORN_Screening_Tool.pdf

6. Jones CP. Levels of racism: a theoretic framework and a gardener’s tale. Am J Public Health. 2000;90(8):1212-1215. doi:10.2105/ajph.90.8.1212

7. American Public Health Association. Creating the healthiest nation: advancing health equity. Accessed November 28, 2023. https://www.apha.org/-/media/files/pdf/factsheets/advancing_health_equity.ashx?la=en&hash=9144021FDA33B4E7E02447CB28CA3F9D4BE5EF18

8. Castrucci B, Auerbach J. Meeting individual social needs falls short of addressing social determinants of health. Health Aff. Published January 16, 2019. doi:10.1377/hblog20190115.234942

9. Montgomery AE, Fargo JD, Byrne TH, Kane VR, Culhane DP. Universal screening for homelessness and risk for homelessness in the Veterans Health Administration. Am J Public Health. 2013;103(suppl 2):S210-211. doi:10.2105/AJPH.2013.301398

10. Cohen AJ, Rudolph JL, Thomas KS, et al. Food insecurity among veterans: resources to screen and intervene. Fed Pract. 2020;37(1):16-23.

11. Iverson KM, Adjognon O, Grillo AR, et al. Intimate partner violence screening programs in the Veterans Health Administration: informing scale-up of successful practices. J Gen Intern Med. 2019;34(11):2435-2442. doi:10.1007/s11606-019-05240-y

12. National Academies of Sciences, Engineering, and Medicine. Integrating Social Care into the Delivery of Health Care: Moving Upstream to Improve the Nation’s Health. The National Academies Press; 2019. Accessed November 28, 2023. https://nap.nationalacademies.org/catalog/25467/integrating-social-care-into-the-delivery-of-health-care-moving

13. Gottlieb LM, Adler NE, Wing H, et al. Effects of in-person assistance vs personalized written resources about social services on household social risks and child and caregiver health: a randomized clinical trial. JAMA Netw Open. 2020;3(3):e200701. doi:10.1001/jamanetworkopen.2020.0701

14. Cornell PY, Halladay CW, Ader J, et al. Embedding social workers in Veterans Health Administration primary care teams reduces emergency department visits. Health Aff (Millwood). 2020;39(4):603-612. doi:10.1377/hlthaff.2019.01589

15. Cohen AJ, Bruton M, Hooshyar D. US Department of Veterans Affairs, Office of Health Services Research and Development. The WHO’s greatest ICD-10 hits for fiscal year 2022: social determinants of health. Published March 9, 2022. Updated November 6, 2023. Accessed December 4, 2023. https://www.hsrd.research.va.gov/for_researchers/cyber_seminars/archives/video_archive.cfm?SessionID=4125

<--pagebreak-->

16. De Marchis EH, Alderwick H, Gottlieb LM. Do patients want help addressing social risks? J Am Board Fam Med. 2020;33(2):170-175. doi:10.3122/jabfm.2020.02.190309

17. Cohen AJ, Isaacson N, Torby M, Smith A, Zhang G, Patel MR. Motivators, barriers, and preferences to engagement with offered social care assistance among people with diabetes: a mixed methods study. Am J Prev Med. 2022;63(3, suppl 2):S152-S163. doi:10.1016/j.amepre.2022.02.022

18. Buitron de la Vega P, Losi S, Sprague Martinez L, et al. Implementing an EHR-based screening and referral system to address social determinants of health in primary care. Med Care. 2019;57(suppl 6, suppl 2):S133-S139. doi:10.1097/MLR.0000000000001029

19. Boston Medical Center. The WE CARE Model. Accessed November 28, 2023. https://www.bmc.org/pediatrics-primary-care/we-care/we-care-model

20. US Department of Veterans Affairs, Office of Rural Health. VA social work. Updated July 11, 2023. Accessed December 4, 2023. https://www.socialwork.va.gov

21. Mitchell KM, Russell LE, Cohen AJ, Kennedy MA. Building ACORN resource guides for veterans. Accessed November 28, 2023. https://www.va.gov/HEALTHEQUITY/docs/ACORN_Resource_Guide_Manual.pdf

22. US Department of Veterans Affairs, Veterans Health Administration, Office of Rural Health. Rural Veterans. Accessed November 28, 2023. https://www.ruralhealth.va.gov/aboutus/ruralvets.asp

23. Cartier Y, Fichtenberg C, Gottlieb L. Community resource referral platforms: a guide for health care organizations. Published 2019. Accessed December 4, 2023. https://sirenetwork.ucsf.edu/tools-resources/resources/community-resource-referral-platforms-guide-health-care-organizations

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Leader Rounding for High Reliability and Improved Patient Safety

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The hospital is altogether the most complex human organization ever devised. Peter Drucker 1

The ever-changing landscape of today’s increasingly complex health care system depends on implementing multifaceted, team-based methods of care delivery to provide safe, effective patient care.2Critical to establishing and sustaining exceptionally safe, effective patient care is open, transparent communication among members of interprofessional teams with senior leaders.3 However, current evidence shows thatpoor communication among interprofessional health care teams and leadership is commonplace and a significant contributing factor to inefficiencies, medical errors, and poor outcomes.4 One strategy for improving communication is through the implementation of leader rounding for high reliability. The concept of high reliability pertains to organizations that operate in high-risk environments for prolonged periods without serious adverse events or catastrophic failures.5 The overarching goal of implementation is to ensure that efficient communication exists among members of the health care team, which is essential for providing safe, quality patient care.

We describe the importance of leader rounding for high reliability as an approach to improving patient safety.Based on a review of the literature, our experiences, and lessons learned, we offer recommendations for how health care organizations on the journey to high reliability can improve patient safety.

Rounding in health care is not new. In fact, rounding has been a strong principal practice globally for more than 2 decades.6 During this time, varied rounding approaches have emerged, oftentimes focused on areas of interest, such as patient care, environmental services, facilities management, and discharge planning.4,7 Variations also might involve the location of the rounds, such as a patient’s bedside, unit hallways, and conference rooms as well as the naming of rounds, such as interdisciplinary/multidisciplinary, teaching, and walkrounds.7-10

figure 1

A different type of rounding that is characteristic of high reliability organizations (HROs) is leader rounding for high reliability. The Veterans Health Administration (VHA) formally launched its journey to becoming an enterprise HRO in February 2019, using 3 cohorts. At the Veterans Affairs Bedford Healthcare System (VABHS) in Massachusetts, the journey commenced in 2021 as part of the third cohort. Leader rounding for high reliability is one of VHAs 4 HRO foundational practices for achieving a culture of safety (Figure 1).11

 

 

figure 2

Leader rounding for high reliability includes regularly scheduled, structured visits, with interdisciplinary teams to discuss high reliability, safety, and improvement efforts.The specific aim of these particular rounds is for senior leaders to be visible where teams are located and learn from staff (especially those on the frontlines of care) about day-to-day challenges that may contribute to patient harm.12,13 Leader rounding for high reliability is also an important approach to improving leadership visibility across the organization, demonstrating a commitment to high reliability, and building trust and relationships with staff through open and honest dialogue. It is also an important approach to increasing leadership understanding of operational, clinical, nonclinical, patient experience issues, and concern related to safety.11 This opportunity enables leaders to provide and receive real-time feedback from staff.9,11 This experience also gives leaders an opportunity to reinforce the VHA’s 3 pillars, 5 principles, and 7 values related to high reliability (Figure 2)14 as well as to recognize behaviors that support a culture of safety.15

In preparation for implementing a leader rounding for high reliability process at the VABHS, we conducted an extensive literature review for peer-reviewed publications published between January 2015 and September 2022 regarding how other organizations implemented leader rounding. This search found a dearth of evidence as it specifically relates to leader rounding for high reliability. This motivated us to create a process for developing and implementing leader rounding for high reliability in pursuit of improving patient safety. With this objective in mind, we created and piloted a process in the fall of 2023. The first 3 months were focused on the medical center director rounding with other members of the executive leadership team to assess the feasibility and acceptability of the process. In December 2023, members of the executive leadership team began conducting leader rounding for high reliability separately. The following steps are based on the lessons we have gleaned from evolving evidence, our experiences, and developing and implementing an approach to leader rounding for high reliability.

ESTABLISH A PROCESS

Leader rounding for high reliability is performed by health care organization executive leadership, directors, managers, and supervisors. When properly conducted, increased levels of teamwork and more effective bidirectional communication take place, resulting in a united team motivated to improve patient safety.16,17 Important early steps for implementing leader rounding for high reliability include establishing a process and getting leadership buy-in.Purposeful attention to planning is critical as is understanding the organizational factors that might deter success.Establishing a process should consider facilitators and barriers to implementation, which can include high vs low leadership turnover, structured vs unstructured rounding, and time for rounding vs competing demands.18,19 We have learned thateffective planning is important for ensuring that leadership teams are well prepared and ambitious about leader rounding for high reliability.

appendix 1

Leader rounding for high reliability involves brief 10-to-15-minute interactions with interdisciplinary teams, including frontline staff. For health care organizations beginning to implement this approach, having scripts or checklists accessible might be of help. If possible, the rounds should be scheduled in advance. This helps to avoid rounding in areas at their busiest times. When possible, leader rounding for high reliability should occur as planned. Canceling rounds sends the message that leader rounding for high reliability and the valuable interactions they support are a low priority. When conflicts arise, another leader should be sent to participate. Developing a list of questions in advance helps to underscore key messages to be shared as well as reinforce principles, practices, behaviors, and attitudes related to high reliability (Appendix 1).11

Finally, closing the loop is critical to the leader rounding process and to improve bidirectional communication. Closed-loop communication, following up on and/or closing out an area of discussion, not only promotes a shared understanding of information but has been found to improve patient safety.19 Effective leader rounding for high reliability includes summarizing issues and opportunities, deciding on a date for resolution for open action items, and identifying who is responsible for taking action. Senior leaders are not responsible for resolving all issues. If a team or manager of a work area can solve any issues identified, this should be encouraged and supported so accountability is maintained at the most appropriate level of the organization.

Instrumental to leader rounding for high reliability is establishing a cadence for when leaders will visit work areas.14 The most critical strategy, especially in times of change, is consistency in rounding.11 At the start of implementation, we decided on a biweekly cadence. Initially leaders visited areas of the organization within their respective reporting structure. Once this was established, leaders periodically round in areas outside their scope of responsibility. This affords leaders the opportunity to observe other areas of the organization. As noted, it is important for leaders to be flexible with the rounding process especially in areas where direct patient care is being provided.

 

 

Tracking

Developing a tracking tool also is important for an effective leader rounding process. This tool is used to document issues and concerns identified during the rounding process, assign accountability, track the status of items, and close the loop when completed. One of the most commonly reported hurdles to staff sharing information to promote a culture of safety is the lack of feedback on what actions were taken to address the concern or issue raised with leadership. Closed-loop communication is critical for keeping staff continually engaged in efforts to promote a culture of safety.20 We have found that a tracking tool helps to ensure that closed-loop communication takes place.

Various platforms can be used for tracking items and providing follow-up, including paper worksheets, spreadsheets, databases, or third party software (eg, SharePoint, TruthPoint Rounds, GetWell Rounds). The tracking tool should have a standardized approach for prioritizing issues.

figure 3

The stoplight classification system uses color coding (Figure 3).21 Green represents a safe space where there are no or low safety risks and are easily addressed at the local level by the area manager with or without assistance from the leadership team rounding, such as staffing.22,23 The unit manager has control of the situation and a plan is actively being implemented. Yellow signifies that areas are at risk, but with increased vigilance, issues do not escalate to a crisis state.22,23 Yellow-coded issues require further investigation by the leadership team. The senior leader on the team designates a process as well as a person responsible for closing the loop with the area manager regarding the status of problem resolution. For example, if the unit manager mentioned previously needing help to find staff, the area manager would suggest or take steps to help the unit manager. The area manager is then responsible for updating the frontline staff. Red-coded issues are urgent, identifying a state of crisis or high risk. Red issues need to be immediately addressed but cannot be resolved during rounds. Senior leaders must evaluate and make decisions to mitigate the threat. A member of the leadership team is tasked with following up with the area manager, typically within 24 hours. A staffing crisis that requires executive leadership help with identifying additional resources would be coded red.

The area manager is responsible for closing the loop with frontline staff. As frontline staff became more comfortable with the process, we observed an upward trend in the number of reported issues. We are now starting to see a downward trend in concerns shared during rounding as managers and frontline staff feel empowered to address issues at the lowest level.

Measuring Impact

appendix 2

Measuring the impact is a critical step to determine the overall effectiveness of leader rounding for high reliability. It can be as simple as requesting candid feedback from frontline staff, supervisors, managers, and service chiefs. For example, 4 months into the implementation process, the VABHS administered a brief staff survey on the overall process, perceived benefits, and challenges experienced (Appendix 2). Potential measures include the counts of leaders rounding, total rounds, rounds cancelled, and staff members actively participating in rounds. Outcomes that can be measured include issues identified, addressed, elevated, and remaining open; number of extended workdays due to rounds; staff staying overtime; and delays in patient care activities.23 Other measures to consider are the effects of rounding on staff as well as patient/family satisfaction, increase in the number of errors and near-miss events reported per month in a health care organizations’ patient safety reporting system, and increased engagement of staff members in continuous process improvement activities. Since the inception of leader rounding for high reliability, the VABHS has seen a slight increase in the number of events entered in the patient safety reporting system. Other factors that may have contributed to this change, including encouragement of reporting at safety forums, and tiered safety huddles.

 

 

DISCUSSION

This initiative involved the development and implementation of a leader rounding for high reliability process at the VABHS with the overarching goal of ensuring efficient communication exists among members of the health care team for delivering safe, quality patient care. The initiative was well received by staff from senior leadership to frontline personnel and promoted significant interest in efforts to improve safety across the health care system.

The pilot phase permitted us to examine the feasibility and acceptability of the process to leadership as well as frontline staff. The insight gained and lessons learned through the implementation process helped us make revisions where needed and develop the tools to ensure success. In the second phase of implementation, which commenced in December 2023, each executive leadership team member began leader rounding for high reliability with their respective department service chiefs. Throughout this phase, feedback will be sought on the overall process, perceived benefits, and challenges experienced to make improvements or changes as needed. We also will continue to monitor the number of events entered in the patient safety reporting system. Future efforts will focus on developing a robust program of evaluation to explore the impact of the program on patient/family satisfaction as well as safety outcomes.

Limitations

Developing and implementing a process for leader rounding for high reliability was undertaken to support the VABHS and VHA journey to high reliability. Other health care organizations and integrated systems might identify different processes for improving patient safety and to support their journey to becoming an HRO.

CONCLUSIONS

The importance of leader rounding for high reliability to improve patient safety cannot be emphasized enough in a time where health care systems have become increasingly complex. Health care is a complex adaptive system that requires effective, bidirectional communication and collaboration among all disciplines. One of the most useful, evidence-based strategies for promoting this communication and collaboration to improve a culture of safety is leader rounding for high reliability.

References

1. Drucker PF. They’re not employees, they’re people. Accessed November 15, 2023. https://hbr.org/2002/02/theyre-not-employees-theyre-people

2. Adams HA, Feudale RM. Implementation of a structured rounding tool for interprofessional care team rounds to improve communication and collaboration in patient care. Pediatr Nurs. 2018;44(5):229-233, 246.

3. Witz I, Lucchese S, Valenzano TJ, et al: Perceptions on implementation of a new standardized reporting tool to support structured morning rounds: recommendations for interprofessional teams and healthcare leaders. J Med Radiat Sci. 2022;53(4):S85-S92. doi:10.1016/j.jmir.2022.06.006

4. Blakeney EA, Chu F, White AA, et al. A scoping review of new implementations of interprofessional bedside rounding models to improve teamwork, care, and outcomes in hospitals. J Interprof Care. 2021;10:1-16 [Online ahead of print.] doi:10.1080/13561820.2021.1980379

5. Agency for Research and Healthcare Quality. High reliability. Accessed December 4, 2023. https://psnet.ahrq.gov/primer/high-reliability

6. Hedenstrom M, Harrilson A, Heath M, Dyass S. “What’s old is new again”: innovative health care leader rounding—a strategy to foster connection. Nurse Lead. 2022;20(4):366-370.

7. Walton V, Hogden A, Long JC, Johnson JK, Greenfield D. How do interprofessional healthcare teams perceive the benefits and challenges of interdisciplinary ward rounds. J Multidiscip Healthc. 2019;12:1023-1032. doi:10.2147/JMDH.S226330

8. Walton V, Hogden A, Johnson J, Greenfield D. Ward rounds, participants, roles and perceptions: literature review. Int J Health Care Qual Assur. 2016;29(4):364-379. doi:10.1108/IJHCQA-04-2015-0053

9. Sexton JB, Adair KC, Leonard MW, et al. Providing feedback following leadership walkrounds is associated with better patient safety culture, higher employee engagement and lower burnout. BMJ Qual Saf. 2018;27(4):261-270. doi:10.1136/bmjqs-2016-006399

10. Sexton JB, Adair KC, Profit J, et al. Safety culture and workforce well-being associations with positive leadership walkrounds. Jt Comm J Qual Patient Saf. 2021;47(7):403-411. doi:10.1016/j.jcjq.2021.04.001

11. US Department of Veterans Affairs, Veterans Health Administration. Leader’s guide to foundational high reliability organization (HRO) practices. Accessed December 5, 2023. https://dvagov.sharepoint.com/sites/OHT-PMO/high-reliability/Pages/default.aspx

12. Zajac S, Woods A, Tannenbaum S, Salas E, Hollada CL. Overcoming challenges to teamwork in healthcare: a team effectiveness framework and evidence-based guidance. Front Commun. 2021;6:1-20. doi:10.3389/fcomm.2021.606445

13. Department of Veterans Affairs, Veterans Health Administration. VHA’s Vision for a High Reliability Organization. Accessed December 5, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-1

14. Merchant NB, O’Neal J, Dealino-Perez C, Xiang J, Montoya A Jr, Murray JS. A high-reliability organization mindset. Am J Med Qual. 2022;37(6):504-510. doi:10.1097/JMQ.0000000000000086

15. Verhaegh KJ, Seller-Boersma A, Simons R, et al. An exploratory study of healthcare professionals’ perceptions of interprofessional communication and collaboration. J Interprof Care. 2017;31(3):397-400. doi:10.1080/13561820.2017.1289158

16. Winter M, Tjiong L. HCAHPS Series Part 2: Does purposeful leader rounding make a difference? Nurs Manag. 2015;46(2):26-32. doi:10.1097/01.NUMA.0000460034.25697.06

17. Beaird G, Baernholdt M, White KR. Perceptions of interdisciplinary rounding practices. J Clin Nurs. 2020;29(7-8):1141-1150. doi:10.1111/jocn.15161

18. Hendricks S, LaMothe VJ, Kara A. Facilitators and barriers for interprofessional rounding: a qualitative study. Clin Nurse Spec. 2017;31(4):219-228. doi:10.1097/NUR.0000000000000310

19. Diaz MCG, Dawson K. Impact of simulation-based closed-loop communication training on medical errors in a pediatric emergency department. Am J Med Qual. 2020;35(6):474-478. doi:10.1177/1062860620912480

20. Williams S, Fiumara K, Kachalia A, Desai S. Closing the loop with ambulatory staff on safety reports. Jt Comm J Qual Saf. 2020;46(1):44-50. doi:10.1016/j.jcjq.2019.09.009

21. Parbhoo A, Batte J. Traffic lights: putting a stop to unsafe patient transfers. BMJ Qual Improv Rep. 2015;4(1):u204799.w2079. doi:10.1136/bmjquality.u204799.w2079

22. Prineas S, Culwick M, Endlich Y. A proposed system for standardization of colour-coding stages of escalating criticality in clinical incidents. Curr Opin Anaesthesiol. 2021;34(6):752-760. doi:10.1097/ACO.0000000000001071.

23. Merchant NB, O’Neal J, Montoya A, Cox GR, Murray JS. Creating a process for the implementation of tiered huddles in a Veterans Affairs medical center. Mil Med. 2023;188(5-6):901-906. doi:10.1093/milmed/usac073

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Author and Disclosure Information

Col (Ret) John Murray, PhD, MPH, MSGH, RN, CPNP-PC, CS, NC, USAFa; Joan Clifford, DNPb; Donald Scottb; Sarah Kelly, MATc; Christine Hanover, DNPc

Correspondence:  John Murray  ([email protected])

aCognosante, Falls Church, Virginia

bVeterans Affairs Bedford Health Care System, Massachusetts

cVeterans Affairs Providence Health Care System, Rhode Island

Author disclosures
The authors report no actual or potential conflicts of interest regarding this article.

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

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Col (Ret) John Murray, PhD, MPH, MSGH, RN, CPNP-PC, CS, NC, USAFa; Joan Clifford, DNPb; Donald Scottb; Sarah Kelly, MATc; Christine Hanover, DNPc

Correspondence:  John Murray  ([email protected])

aCognosante, Falls Church, Virginia

bVeterans Affairs Bedford Health Care System, Massachusetts

cVeterans Affairs Providence Health Care System, Rhode Island

Author disclosures
The authors report no actual or potential conflicts of interest regarding this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent
Not applicable.

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Col (Ret) John Murray, PhD, MPH, MSGH, RN, CPNP-PC, CS, NC, USAFa; Joan Clifford, DNPb; Donald Scottb; Sarah Kelly, MATc; Christine Hanover, DNPc

Correspondence:  John Murray  ([email protected])

aCognosante, Falls Church, Virginia

bVeterans Affairs Bedford Health Care System, Massachusetts

cVeterans Affairs Providence Health Care System, Rhode Island

Author disclosures
The authors report no actual or potential conflicts of interest regarding this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

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The hospital is altogether the most complex human organization ever devised. Peter Drucker 1

The ever-changing landscape of today’s increasingly complex health care system depends on implementing multifaceted, team-based methods of care delivery to provide safe, effective patient care.2Critical to establishing and sustaining exceptionally safe, effective patient care is open, transparent communication among members of interprofessional teams with senior leaders.3 However, current evidence shows thatpoor communication among interprofessional health care teams and leadership is commonplace and a significant contributing factor to inefficiencies, medical errors, and poor outcomes.4 One strategy for improving communication is through the implementation of leader rounding for high reliability. The concept of high reliability pertains to organizations that operate in high-risk environments for prolonged periods without serious adverse events or catastrophic failures.5 The overarching goal of implementation is to ensure that efficient communication exists among members of the health care team, which is essential for providing safe, quality patient care.

We describe the importance of leader rounding for high reliability as an approach to improving patient safety.Based on a review of the literature, our experiences, and lessons learned, we offer recommendations for how health care organizations on the journey to high reliability can improve patient safety.

Rounding in health care is not new. In fact, rounding has been a strong principal practice globally for more than 2 decades.6 During this time, varied rounding approaches have emerged, oftentimes focused on areas of interest, such as patient care, environmental services, facilities management, and discharge planning.4,7 Variations also might involve the location of the rounds, such as a patient’s bedside, unit hallways, and conference rooms as well as the naming of rounds, such as interdisciplinary/multidisciplinary, teaching, and walkrounds.7-10

figure 1

A different type of rounding that is characteristic of high reliability organizations (HROs) is leader rounding for high reliability. The Veterans Health Administration (VHA) formally launched its journey to becoming an enterprise HRO in February 2019, using 3 cohorts. At the Veterans Affairs Bedford Healthcare System (VABHS) in Massachusetts, the journey commenced in 2021 as part of the third cohort. Leader rounding for high reliability is one of VHAs 4 HRO foundational practices for achieving a culture of safety (Figure 1).11

 

 

figure 2

Leader rounding for high reliability includes regularly scheduled, structured visits, with interdisciplinary teams to discuss high reliability, safety, and improvement efforts.The specific aim of these particular rounds is for senior leaders to be visible where teams are located and learn from staff (especially those on the frontlines of care) about day-to-day challenges that may contribute to patient harm.12,13 Leader rounding for high reliability is also an important approach to improving leadership visibility across the organization, demonstrating a commitment to high reliability, and building trust and relationships with staff through open and honest dialogue. It is also an important approach to increasing leadership understanding of operational, clinical, nonclinical, patient experience issues, and concern related to safety.11 This opportunity enables leaders to provide and receive real-time feedback from staff.9,11 This experience also gives leaders an opportunity to reinforce the VHA’s 3 pillars, 5 principles, and 7 values related to high reliability (Figure 2)14 as well as to recognize behaviors that support a culture of safety.15

In preparation for implementing a leader rounding for high reliability process at the VABHS, we conducted an extensive literature review for peer-reviewed publications published between January 2015 and September 2022 regarding how other organizations implemented leader rounding. This search found a dearth of evidence as it specifically relates to leader rounding for high reliability. This motivated us to create a process for developing and implementing leader rounding for high reliability in pursuit of improving patient safety. With this objective in mind, we created and piloted a process in the fall of 2023. The first 3 months were focused on the medical center director rounding with other members of the executive leadership team to assess the feasibility and acceptability of the process. In December 2023, members of the executive leadership team began conducting leader rounding for high reliability separately. The following steps are based on the lessons we have gleaned from evolving evidence, our experiences, and developing and implementing an approach to leader rounding for high reliability.

ESTABLISH A PROCESS

Leader rounding for high reliability is performed by health care organization executive leadership, directors, managers, and supervisors. When properly conducted, increased levels of teamwork and more effective bidirectional communication take place, resulting in a united team motivated to improve patient safety.16,17 Important early steps for implementing leader rounding for high reliability include establishing a process and getting leadership buy-in.Purposeful attention to planning is critical as is understanding the organizational factors that might deter success.Establishing a process should consider facilitators and barriers to implementation, which can include high vs low leadership turnover, structured vs unstructured rounding, and time for rounding vs competing demands.18,19 We have learned thateffective planning is important for ensuring that leadership teams are well prepared and ambitious about leader rounding for high reliability.

appendix 1

Leader rounding for high reliability involves brief 10-to-15-minute interactions with interdisciplinary teams, including frontline staff. For health care organizations beginning to implement this approach, having scripts or checklists accessible might be of help. If possible, the rounds should be scheduled in advance. This helps to avoid rounding in areas at their busiest times. When possible, leader rounding for high reliability should occur as planned. Canceling rounds sends the message that leader rounding for high reliability and the valuable interactions they support are a low priority. When conflicts arise, another leader should be sent to participate. Developing a list of questions in advance helps to underscore key messages to be shared as well as reinforce principles, practices, behaviors, and attitudes related to high reliability (Appendix 1).11

Finally, closing the loop is critical to the leader rounding process and to improve bidirectional communication. Closed-loop communication, following up on and/or closing out an area of discussion, not only promotes a shared understanding of information but has been found to improve patient safety.19 Effective leader rounding for high reliability includes summarizing issues and opportunities, deciding on a date for resolution for open action items, and identifying who is responsible for taking action. Senior leaders are not responsible for resolving all issues. If a team or manager of a work area can solve any issues identified, this should be encouraged and supported so accountability is maintained at the most appropriate level of the organization.

Instrumental to leader rounding for high reliability is establishing a cadence for when leaders will visit work areas.14 The most critical strategy, especially in times of change, is consistency in rounding.11 At the start of implementation, we decided on a biweekly cadence. Initially leaders visited areas of the organization within their respective reporting structure. Once this was established, leaders periodically round in areas outside their scope of responsibility. This affords leaders the opportunity to observe other areas of the organization. As noted, it is important for leaders to be flexible with the rounding process especially in areas where direct patient care is being provided.

 

 

Tracking

Developing a tracking tool also is important for an effective leader rounding process. This tool is used to document issues and concerns identified during the rounding process, assign accountability, track the status of items, and close the loop when completed. One of the most commonly reported hurdles to staff sharing information to promote a culture of safety is the lack of feedback on what actions were taken to address the concern or issue raised with leadership. Closed-loop communication is critical for keeping staff continually engaged in efforts to promote a culture of safety.20 We have found that a tracking tool helps to ensure that closed-loop communication takes place.

Various platforms can be used for tracking items and providing follow-up, including paper worksheets, spreadsheets, databases, or third party software (eg, SharePoint, TruthPoint Rounds, GetWell Rounds). The tracking tool should have a standardized approach for prioritizing issues.

figure 3

The stoplight classification system uses color coding (Figure 3).21 Green represents a safe space where there are no or low safety risks and are easily addressed at the local level by the area manager with or without assistance from the leadership team rounding, such as staffing.22,23 The unit manager has control of the situation and a plan is actively being implemented. Yellow signifies that areas are at risk, but with increased vigilance, issues do not escalate to a crisis state.22,23 Yellow-coded issues require further investigation by the leadership team. The senior leader on the team designates a process as well as a person responsible for closing the loop with the area manager regarding the status of problem resolution. For example, if the unit manager mentioned previously needing help to find staff, the area manager would suggest or take steps to help the unit manager. The area manager is then responsible for updating the frontline staff. Red-coded issues are urgent, identifying a state of crisis or high risk. Red issues need to be immediately addressed but cannot be resolved during rounds. Senior leaders must evaluate and make decisions to mitigate the threat. A member of the leadership team is tasked with following up with the area manager, typically within 24 hours. A staffing crisis that requires executive leadership help with identifying additional resources would be coded red.

The area manager is responsible for closing the loop with frontline staff. As frontline staff became more comfortable with the process, we observed an upward trend in the number of reported issues. We are now starting to see a downward trend in concerns shared during rounding as managers and frontline staff feel empowered to address issues at the lowest level.

Measuring Impact

appendix 2

Measuring the impact is a critical step to determine the overall effectiveness of leader rounding for high reliability. It can be as simple as requesting candid feedback from frontline staff, supervisors, managers, and service chiefs. For example, 4 months into the implementation process, the VABHS administered a brief staff survey on the overall process, perceived benefits, and challenges experienced (Appendix 2). Potential measures include the counts of leaders rounding, total rounds, rounds cancelled, and staff members actively participating in rounds. Outcomes that can be measured include issues identified, addressed, elevated, and remaining open; number of extended workdays due to rounds; staff staying overtime; and delays in patient care activities.23 Other measures to consider are the effects of rounding on staff as well as patient/family satisfaction, increase in the number of errors and near-miss events reported per month in a health care organizations’ patient safety reporting system, and increased engagement of staff members in continuous process improvement activities. Since the inception of leader rounding for high reliability, the VABHS has seen a slight increase in the number of events entered in the patient safety reporting system. Other factors that may have contributed to this change, including encouragement of reporting at safety forums, and tiered safety huddles.

 

 

DISCUSSION

This initiative involved the development and implementation of a leader rounding for high reliability process at the VABHS with the overarching goal of ensuring efficient communication exists among members of the health care team for delivering safe, quality patient care. The initiative was well received by staff from senior leadership to frontline personnel and promoted significant interest in efforts to improve safety across the health care system.

The pilot phase permitted us to examine the feasibility and acceptability of the process to leadership as well as frontline staff. The insight gained and lessons learned through the implementation process helped us make revisions where needed and develop the tools to ensure success. In the second phase of implementation, which commenced in December 2023, each executive leadership team member began leader rounding for high reliability with their respective department service chiefs. Throughout this phase, feedback will be sought on the overall process, perceived benefits, and challenges experienced to make improvements or changes as needed. We also will continue to monitor the number of events entered in the patient safety reporting system. Future efforts will focus on developing a robust program of evaluation to explore the impact of the program on patient/family satisfaction as well as safety outcomes.

Limitations

Developing and implementing a process for leader rounding for high reliability was undertaken to support the VABHS and VHA journey to high reliability. Other health care organizations and integrated systems might identify different processes for improving patient safety and to support their journey to becoming an HRO.

CONCLUSIONS

The importance of leader rounding for high reliability to improve patient safety cannot be emphasized enough in a time where health care systems have become increasingly complex. Health care is a complex adaptive system that requires effective, bidirectional communication and collaboration among all disciplines. One of the most useful, evidence-based strategies for promoting this communication and collaboration to improve a culture of safety is leader rounding for high reliability.

The hospital is altogether the most complex human organization ever devised. Peter Drucker 1

The ever-changing landscape of today’s increasingly complex health care system depends on implementing multifaceted, team-based methods of care delivery to provide safe, effective patient care.2Critical to establishing and sustaining exceptionally safe, effective patient care is open, transparent communication among members of interprofessional teams with senior leaders.3 However, current evidence shows thatpoor communication among interprofessional health care teams and leadership is commonplace and a significant contributing factor to inefficiencies, medical errors, and poor outcomes.4 One strategy for improving communication is through the implementation of leader rounding for high reliability. The concept of high reliability pertains to organizations that operate in high-risk environments for prolonged periods without serious adverse events or catastrophic failures.5 The overarching goal of implementation is to ensure that efficient communication exists among members of the health care team, which is essential for providing safe, quality patient care.

We describe the importance of leader rounding for high reliability as an approach to improving patient safety.Based on a review of the literature, our experiences, and lessons learned, we offer recommendations for how health care organizations on the journey to high reliability can improve patient safety.

Rounding in health care is not new. In fact, rounding has been a strong principal practice globally for more than 2 decades.6 During this time, varied rounding approaches have emerged, oftentimes focused on areas of interest, such as patient care, environmental services, facilities management, and discharge planning.4,7 Variations also might involve the location of the rounds, such as a patient’s bedside, unit hallways, and conference rooms as well as the naming of rounds, such as interdisciplinary/multidisciplinary, teaching, and walkrounds.7-10

figure 1

A different type of rounding that is characteristic of high reliability organizations (HROs) is leader rounding for high reliability. The Veterans Health Administration (VHA) formally launched its journey to becoming an enterprise HRO in February 2019, using 3 cohorts. At the Veterans Affairs Bedford Healthcare System (VABHS) in Massachusetts, the journey commenced in 2021 as part of the third cohort. Leader rounding for high reliability is one of VHAs 4 HRO foundational practices for achieving a culture of safety (Figure 1).11

 

 

figure 2

Leader rounding for high reliability includes regularly scheduled, structured visits, with interdisciplinary teams to discuss high reliability, safety, and improvement efforts.The specific aim of these particular rounds is for senior leaders to be visible where teams are located and learn from staff (especially those on the frontlines of care) about day-to-day challenges that may contribute to patient harm.12,13 Leader rounding for high reliability is also an important approach to improving leadership visibility across the organization, demonstrating a commitment to high reliability, and building trust and relationships with staff through open and honest dialogue. It is also an important approach to increasing leadership understanding of operational, clinical, nonclinical, patient experience issues, and concern related to safety.11 This opportunity enables leaders to provide and receive real-time feedback from staff.9,11 This experience also gives leaders an opportunity to reinforce the VHA’s 3 pillars, 5 principles, and 7 values related to high reliability (Figure 2)14 as well as to recognize behaviors that support a culture of safety.15

In preparation for implementing a leader rounding for high reliability process at the VABHS, we conducted an extensive literature review for peer-reviewed publications published between January 2015 and September 2022 regarding how other organizations implemented leader rounding. This search found a dearth of evidence as it specifically relates to leader rounding for high reliability. This motivated us to create a process for developing and implementing leader rounding for high reliability in pursuit of improving patient safety. With this objective in mind, we created and piloted a process in the fall of 2023. The first 3 months were focused on the medical center director rounding with other members of the executive leadership team to assess the feasibility and acceptability of the process. In December 2023, members of the executive leadership team began conducting leader rounding for high reliability separately. The following steps are based on the lessons we have gleaned from evolving evidence, our experiences, and developing and implementing an approach to leader rounding for high reliability.

ESTABLISH A PROCESS

Leader rounding for high reliability is performed by health care organization executive leadership, directors, managers, and supervisors. When properly conducted, increased levels of teamwork and more effective bidirectional communication take place, resulting in a united team motivated to improve patient safety.16,17 Important early steps for implementing leader rounding for high reliability include establishing a process and getting leadership buy-in.Purposeful attention to planning is critical as is understanding the organizational factors that might deter success.Establishing a process should consider facilitators and barriers to implementation, which can include high vs low leadership turnover, structured vs unstructured rounding, and time for rounding vs competing demands.18,19 We have learned thateffective planning is important for ensuring that leadership teams are well prepared and ambitious about leader rounding for high reliability.

appendix 1

Leader rounding for high reliability involves brief 10-to-15-minute interactions with interdisciplinary teams, including frontline staff. For health care organizations beginning to implement this approach, having scripts or checklists accessible might be of help. If possible, the rounds should be scheduled in advance. This helps to avoid rounding in areas at their busiest times. When possible, leader rounding for high reliability should occur as planned. Canceling rounds sends the message that leader rounding for high reliability and the valuable interactions they support are a low priority. When conflicts arise, another leader should be sent to participate. Developing a list of questions in advance helps to underscore key messages to be shared as well as reinforce principles, practices, behaviors, and attitudes related to high reliability (Appendix 1).11

Finally, closing the loop is critical to the leader rounding process and to improve bidirectional communication. Closed-loop communication, following up on and/or closing out an area of discussion, not only promotes a shared understanding of information but has been found to improve patient safety.19 Effective leader rounding for high reliability includes summarizing issues and opportunities, deciding on a date for resolution for open action items, and identifying who is responsible for taking action. Senior leaders are not responsible for resolving all issues. If a team or manager of a work area can solve any issues identified, this should be encouraged and supported so accountability is maintained at the most appropriate level of the organization.

Instrumental to leader rounding for high reliability is establishing a cadence for when leaders will visit work areas.14 The most critical strategy, especially in times of change, is consistency in rounding.11 At the start of implementation, we decided on a biweekly cadence. Initially leaders visited areas of the organization within their respective reporting structure. Once this was established, leaders periodically round in areas outside their scope of responsibility. This affords leaders the opportunity to observe other areas of the organization. As noted, it is important for leaders to be flexible with the rounding process especially in areas where direct patient care is being provided.

 

 

Tracking

Developing a tracking tool also is important for an effective leader rounding process. This tool is used to document issues and concerns identified during the rounding process, assign accountability, track the status of items, and close the loop when completed. One of the most commonly reported hurdles to staff sharing information to promote a culture of safety is the lack of feedback on what actions were taken to address the concern or issue raised with leadership. Closed-loop communication is critical for keeping staff continually engaged in efforts to promote a culture of safety.20 We have found that a tracking tool helps to ensure that closed-loop communication takes place.

Various platforms can be used for tracking items and providing follow-up, including paper worksheets, spreadsheets, databases, or third party software (eg, SharePoint, TruthPoint Rounds, GetWell Rounds). The tracking tool should have a standardized approach for prioritizing issues.

figure 3

The stoplight classification system uses color coding (Figure 3).21 Green represents a safe space where there are no or low safety risks and are easily addressed at the local level by the area manager with or without assistance from the leadership team rounding, such as staffing.22,23 The unit manager has control of the situation and a plan is actively being implemented. Yellow signifies that areas are at risk, but with increased vigilance, issues do not escalate to a crisis state.22,23 Yellow-coded issues require further investigation by the leadership team. The senior leader on the team designates a process as well as a person responsible for closing the loop with the area manager regarding the status of problem resolution. For example, if the unit manager mentioned previously needing help to find staff, the area manager would suggest or take steps to help the unit manager. The area manager is then responsible for updating the frontline staff. Red-coded issues are urgent, identifying a state of crisis or high risk. Red issues need to be immediately addressed but cannot be resolved during rounds. Senior leaders must evaluate and make decisions to mitigate the threat. A member of the leadership team is tasked with following up with the area manager, typically within 24 hours. A staffing crisis that requires executive leadership help with identifying additional resources would be coded red.

The area manager is responsible for closing the loop with frontline staff. As frontline staff became more comfortable with the process, we observed an upward trend in the number of reported issues. We are now starting to see a downward trend in concerns shared during rounding as managers and frontline staff feel empowered to address issues at the lowest level.

Measuring Impact

appendix 2

Measuring the impact is a critical step to determine the overall effectiveness of leader rounding for high reliability. It can be as simple as requesting candid feedback from frontline staff, supervisors, managers, and service chiefs. For example, 4 months into the implementation process, the VABHS administered a brief staff survey on the overall process, perceived benefits, and challenges experienced (Appendix 2). Potential measures include the counts of leaders rounding, total rounds, rounds cancelled, and staff members actively participating in rounds. Outcomes that can be measured include issues identified, addressed, elevated, and remaining open; number of extended workdays due to rounds; staff staying overtime; and delays in patient care activities.23 Other measures to consider are the effects of rounding on staff as well as patient/family satisfaction, increase in the number of errors and near-miss events reported per month in a health care organizations’ patient safety reporting system, and increased engagement of staff members in continuous process improvement activities. Since the inception of leader rounding for high reliability, the VABHS has seen a slight increase in the number of events entered in the patient safety reporting system. Other factors that may have contributed to this change, including encouragement of reporting at safety forums, and tiered safety huddles.

 

 

DISCUSSION

This initiative involved the development and implementation of a leader rounding for high reliability process at the VABHS with the overarching goal of ensuring efficient communication exists among members of the health care team for delivering safe, quality patient care. The initiative was well received by staff from senior leadership to frontline personnel and promoted significant interest in efforts to improve safety across the health care system.

The pilot phase permitted us to examine the feasibility and acceptability of the process to leadership as well as frontline staff. The insight gained and lessons learned through the implementation process helped us make revisions where needed and develop the tools to ensure success. In the second phase of implementation, which commenced in December 2023, each executive leadership team member began leader rounding for high reliability with their respective department service chiefs. Throughout this phase, feedback will be sought on the overall process, perceived benefits, and challenges experienced to make improvements or changes as needed. We also will continue to monitor the number of events entered in the patient safety reporting system. Future efforts will focus on developing a robust program of evaluation to explore the impact of the program on patient/family satisfaction as well as safety outcomes.

Limitations

Developing and implementing a process for leader rounding for high reliability was undertaken to support the VABHS and VHA journey to high reliability. Other health care organizations and integrated systems might identify different processes for improving patient safety and to support their journey to becoming an HRO.

CONCLUSIONS

The importance of leader rounding for high reliability to improve patient safety cannot be emphasized enough in a time where health care systems have become increasingly complex. Health care is a complex adaptive system that requires effective, bidirectional communication and collaboration among all disciplines. One of the most useful, evidence-based strategies for promoting this communication and collaboration to improve a culture of safety is leader rounding for high reliability.

References

1. Drucker PF. They’re not employees, they’re people. Accessed November 15, 2023. https://hbr.org/2002/02/theyre-not-employees-theyre-people

2. Adams HA, Feudale RM. Implementation of a structured rounding tool for interprofessional care team rounds to improve communication and collaboration in patient care. Pediatr Nurs. 2018;44(5):229-233, 246.

3. Witz I, Lucchese S, Valenzano TJ, et al: Perceptions on implementation of a new standardized reporting tool to support structured morning rounds: recommendations for interprofessional teams and healthcare leaders. J Med Radiat Sci. 2022;53(4):S85-S92. doi:10.1016/j.jmir.2022.06.006

4. Blakeney EA, Chu F, White AA, et al. A scoping review of new implementations of interprofessional bedside rounding models to improve teamwork, care, and outcomes in hospitals. J Interprof Care. 2021;10:1-16 [Online ahead of print.] doi:10.1080/13561820.2021.1980379

5. Agency for Research and Healthcare Quality. High reliability. Accessed December 4, 2023. https://psnet.ahrq.gov/primer/high-reliability

6. Hedenstrom M, Harrilson A, Heath M, Dyass S. “What’s old is new again”: innovative health care leader rounding—a strategy to foster connection. Nurse Lead. 2022;20(4):366-370.

7. Walton V, Hogden A, Long JC, Johnson JK, Greenfield D. How do interprofessional healthcare teams perceive the benefits and challenges of interdisciplinary ward rounds. J Multidiscip Healthc. 2019;12:1023-1032. doi:10.2147/JMDH.S226330

8. Walton V, Hogden A, Johnson J, Greenfield D. Ward rounds, participants, roles and perceptions: literature review. Int J Health Care Qual Assur. 2016;29(4):364-379. doi:10.1108/IJHCQA-04-2015-0053

9. Sexton JB, Adair KC, Leonard MW, et al. Providing feedback following leadership walkrounds is associated with better patient safety culture, higher employee engagement and lower burnout. BMJ Qual Saf. 2018;27(4):261-270. doi:10.1136/bmjqs-2016-006399

10. Sexton JB, Adair KC, Profit J, et al. Safety culture and workforce well-being associations with positive leadership walkrounds. Jt Comm J Qual Patient Saf. 2021;47(7):403-411. doi:10.1016/j.jcjq.2021.04.001

11. US Department of Veterans Affairs, Veterans Health Administration. Leader’s guide to foundational high reliability organization (HRO) practices. Accessed December 5, 2023. https://dvagov.sharepoint.com/sites/OHT-PMO/high-reliability/Pages/default.aspx

12. Zajac S, Woods A, Tannenbaum S, Salas E, Hollada CL. Overcoming challenges to teamwork in healthcare: a team effectiveness framework and evidence-based guidance. Front Commun. 2021;6:1-20. doi:10.3389/fcomm.2021.606445

13. Department of Veterans Affairs, Veterans Health Administration. VHA’s Vision for a High Reliability Organization. Accessed December 5, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-1

14. Merchant NB, O’Neal J, Dealino-Perez C, Xiang J, Montoya A Jr, Murray JS. A high-reliability organization mindset. Am J Med Qual. 2022;37(6):504-510. doi:10.1097/JMQ.0000000000000086

15. Verhaegh KJ, Seller-Boersma A, Simons R, et al. An exploratory study of healthcare professionals’ perceptions of interprofessional communication and collaboration. J Interprof Care. 2017;31(3):397-400. doi:10.1080/13561820.2017.1289158

16. Winter M, Tjiong L. HCAHPS Series Part 2: Does purposeful leader rounding make a difference? Nurs Manag. 2015;46(2):26-32. doi:10.1097/01.NUMA.0000460034.25697.06

17. Beaird G, Baernholdt M, White KR. Perceptions of interdisciplinary rounding practices. J Clin Nurs. 2020;29(7-8):1141-1150. doi:10.1111/jocn.15161

18. Hendricks S, LaMothe VJ, Kara A. Facilitators and barriers for interprofessional rounding: a qualitative study. Clin Nurse Spec. 2017;31(4):219-228. doi:10.1097/NUR.0000000000000310

19. Diaz MCG, Dawson K. Impact of simulation-based closed-loop communication training on medical errors in a pediatric emergency department. Am J Med Qual. 2020;35(6):474-478. doi:10.1177/1062860620912480

20. Williams S, Fiumara K, Kachalia A, Desai S. Closing the loop with ambulatory staff on safety reports. Jt Comm J Qual Saf. 2020;46(1):44-50. doi:10.1016/j.jcjq.2019.09.009

21. Parbhoo A, Batte J. Traffic lights: putting a stop to unsafe patient transfers. BMJ Qual Improv Rep. 2015;4(1):u204799.w2079. doi:10.1136/bmjquality.u204799.w2079

22. Prineas S, Culwick M, Endlich Y. A proposed system for standardization of colour-coding stages of escalating criticality in clinical incidents. Curr Opin Anaesthesiol. 2021;34(6):752-760. doi:10.1097/ACO.0000000000001071.

23. Merchant NB, O’Neal J, Montoya A, Cox GR, Murray JS. Creating a process for the implementation of tiered huddles in a Veterans Affairs medical center. Mil Med. 2023;188(5-6):901-906. doi:10.1093/milmed/usac073

References

1. Drucker PF. They’re not employees, they’re people. Accessed November 15, 2023. https://hbr.org/2002/02/theyre-not-employees-theyre-people

2. Adams HA, Feudale RM. Implementation of a structured rounding tool for interprofessional care team rounds to improve communication and collaboration in patient care. Pediatr Nurs. 2018;44(5):229-233, 246.

3. Witz I, Lucchese S, Valenzano TJ, et al: Perceptions on implementation of a new standardized reporting tool to support structured morning rounds: recommendations for interprofessional teams and healthcare leaders. J Med Radiat Sci. 2022;53(4):S85-S92. doi:10.1016/j.jmir.2022.06.006

4. Blakeney EA, Chu F, White AA, et al. A scoping review of new implementations of interprofessional bedside rounding models to improve teamwork, care, and outcomes in hospitals. J Interprof Care. 2021;10:1-16 [Online ahead of print.] doi:10.1080/13561820.2021.1980379

5. Agency for Research and Healthcare Quality. High reliability. Accessed December 4, 2023. https://psnet.ahrq.gov/primer/high-reliability

6. Hedenstrom M, Harrilson A, Heath M, Dyass S. “What’s old is new again”: innovative health care leader rounding—a strategy to foster connection. Nurse Lead. 2022;20(4):366-370.

7. Walton V, Hogden A, Long JC, Johnson JK, Greenfield D. How do interprofessional healthcare teams perceive the benefits and challenges of interdisciplinary ward rounds. J Multidiscip Healthc. 2019;12:1023-1032. doi:10.2147/JMDH.S226330

8. Walton V, Hogden A, Johnson J, Greenfield D. Ward rounds, participants, roles and perceptions: literature review. Int J Health Care Qual Assur. 2016;29(4):364-379. doi:10.1108/IJHCQA-04-2015-0053

9. Sexton JB, Adair KC, Leonard MW, et al. Providing feedback following leadership walkrounds is associated with better patient safety culture, higher employee engagement and lower burnout. BMJ Qual Saf. 2018;27(4):261-270. doi:10.1136/bmjqs-2016-006399

10. Sexton JB, Adair KC, Profit J, et al. Safety culture and workforce well-being associations with positive leadership walkrounds. Jt Comm J Qual Patient Saf. 2021;47(7):403-411. doi:10.1016/j.jcjq.2021.04.001

11. US Department of Veterans Affairs, Veterans Health Administration. Leader’s guide to foundational high reliability organization (HRO) practices. Accessed December 5, 2023. https://dvagov.sharepoint.com/sites/OHT-PMO/high-reliability/Pages/default.aspx

12. Zajac S, Woods A, Tannenbaum S, Salas E, Hollada CL. Overcoming challenges to teamwork in healthcare: a team effectiveness framework and evidence-based guidance. Front Commun. 2021;6:1-20. doi:10.3389/fcomm.2021.606445

13. Department of Veterans Affairs, Veterans Health Administration. VHA’s Vision for a High Reliability Organization. Accessed December 5, 2023. https://www.hsrd.research.va.gov/publications/forum/summer20/default.cfm?ForumMenu=summer20-1

14. Merchant NB, O’Neal J, Dealino-Perez C, Xiang J, Montoya A Jr, Murray JS. A high-reliability organization mindset. Am J Med Qual. 2022;37(6):504-510. doi:10.1097/JMQ.0000000000000086

15. Verhaegh KJ, Seller-Boersma A, Simons R, et al. An exploratory study of healthcare professionals’ perceptions of interprofessional communication and collaboration. J Interprof Care. 2017;31(3):397-400. doi:10.1080/13561820.2017.1289158

16. Winter M, Tjiong L. HCAHPS Series Part 2: Does purposeful leader rounding make a difference? Nurs Manag. 2015;46(2):26-32. doi:10.1097/01.NUMA.0000460034.25697.06

17. Beaird G, Baernholdt M, White KR. Perceptions of interdisciplinary rounding practices. J Clin Nurs. 2020;29(7-8):1141-1150. doi:10.1111/jocn.15161

18. Hendricks S, LaMothe VJ, Kara A. Facilitators and barriers for interprofessional rounding: a qualitative study. Clin Nurse Spec. 2017;31(4):219-228. doi:10.1097/NUR.0000000000000310

19. Diaz MCG, Dawson K. Impact of simulation-based closed-loop communication training on medical errors in a pediatric emergency department. Am J Med Qual. 2020;35(6):474-478. doi:10.1177/1062860620912480

20. Williams S, Fiumara K, Kachalia A, Desai S. Closing the loop with ambulatory staff on safety reports. Jt Comm J Qual Saf. 2020;46(1):44-50. doi:10.1016/j.jcjq.2019.09.009

21. Parbhoo A, Batte J. Traffic lights: putting a stop to unsafe patient transfers. BMJ Qual Improv Rep. 2015;4(1):u204799.w2079. doi:10.1136/bmjquality.u204799.w2079

22. Prineas S, Culwick M, Endlich Y. A proposed system for standardization of colour-coding stages of escalating criticality in clinical incidents. Curr Opin Anaesthesiol. 2021;34(6):752-760. doi:10.1097/ACO.0000000000001071.

23. Merchant NB, O’Neal J, Montoya A, Cox GR, Murray JS. Creating a process for the implementation of tiered huddles in a Veterans Affairs medical center. Mil Med. 2023;188(5-6):901-906. doi:10.1093/milmed/usac073

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Low-Carbohydrate and Ketogenic Dietary Patterns for Type 2 Diabetes Management

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The prevalence of diabetes continues to increase despite advances in treatment options. In 2019, according to the Centers for Disease Control and Prevention (CDC), 37.1 million (14.7%) US adults had diabetes. Among adults aged ≥ 65 years, the prevalence is even higher at 29.2%.1 Research has also estimated that 45% of adults have evidence of prediabetes or diabetes.2 According to the Veterans Health Administration, almost 25% of enrolled veterans have diabetes.3

Background

Diabetes is associated with an increased risk of microvascular complications (eg, retinopathy, nephropathy, and neuropathy) and macrovascular complications (eg, atherosclerotic cardiovascular disease) and is one of the most common causes of morbidity and mortality in the US.4 In 2017, diabetes was estimated to cost $327 billion in the US, up from $261 billion in 2012.5 During this same period, the excess costs per person with diabetes increased from $8417 to $9601.5

Type 2 diabetes mellitus (T2DM) and its associated insulin resistance is typically considered a chronic disease with progressive loss of β-cell function. Controlling glycemia, delaying microvascular changes, and preventing macrovascular disease are major management goals. Lifestyle interventions are essential in the management and prevention of T2DM. Medication management for T2DM usually progresses through several medications, ending in insulin therapy.6 Within 10 years of diagnosis, almost half of all individuals with T2DM will require insulin to manage their glycemia.7

Bariatric surgery and nutrition approaches have been successful in reversing T2DM. Recently, there has been increased interest in nutritional approaches to place T2DM in remission, reverse the disease process, and improve insulin resistance. Contrary to popular belief, before the discovery of insulin in 1921, low-carbohydrate (LC) diets were the most common treatment for T2DM.8 With the discovery of insulin and the eventual development of low-fat dietary recommendations, LC diets were no longer favored by most clinicians.8 Low-fat diets are, by definition, also high-carbohydrate diets. By the early 1980s, low-fat diets had become the standard of care dietary recommendation, and the goal for clinicians became glycemic maintenance (with increased use of medications) rather than preventing hyperglycemia.8

With growing evidence regarding the use of LC diets for T2DM, the US Department of Veterans Affairs (VA) and US Department of Defense (DoD), the American Diabetes Association (ADA), the European Association for the Study of Diabetes (EASD), Diabetes Canada, and Diabetes Australia all include LC diets as a viable option for treating T2DM.4,9-12 This article will highlight a case using a reduced carbohydrate approach in lifestyle management and provide clinicians with practical guidance in its implementation. We will review the evidence that informs these guidelines, describe a practical approach to nutritional counseling, and review medication management and deprescribing approaches. Finally, barriers to implementation will be explored.

ILLUSTRATIVE CASE

A 64-year-old woman presented to the clinical pharmacist for the management of T2DM after her tenth hospitalization related to hyperglycemia in 10 years. She had previously been managed by primary care clinicians, clinical dietitians, endocrinologists, and certified diabetes care and education specialists. Pertinent history included diabetic ketoacidosis, coronary artery disease, hyperlipidemia, hypertension, obstructive sleep apnea, obesity, metabolic dysfunction-associated steatotic liver disease, and mild nonproliferative diabetic retinopathy with clinically significant macular edema. The patient expressed frustration with poor glycemic control during her many years of insulin therapy and an inability to lose weight due to insulin dose titrations. The patient reported prior education including but not limited to standardized sample menus, consistent carbohydrate intake, calorie reduction, general healthful nutrition, and the “move more, eat less” approach. The patient was unable to titrate insulin dosage and did not experience weight loss despite compliance with these methods.

Her medications included glargine insulin 45 units once daily, aspart insulin 5 units before meals 3 times daily, and metformin 1000 mg twice daily. Her hemoglobin A1c (HbA1c) level was 11.8%. A review of prior therapies for T2DM included glyburide 5 mg twice daily, metformin 1000 mg twice daily, 70/30 insulin (up to 340 units/d), glargine insulin (range, 10-140 units/d), regular insulin (range, 30-240 units/d), aspart insulin (range, 15-45 units/d), and U-500 regular insulin (range, 125-390 units/d). She took metoprolol 25 mg extended release daily and hydrochlorothiazide 25 mg daily, but both were discontinued after the most recent hospitalization. A review of HbA1c readings showed poor glycemic control for > 12 years (range, 10.3% to > 12.3%).

Education for lifestyle modifications, including an LC diet, was presented to the patient to assist with weight loss, improve glycemic control, and reduce insulin resistance. In addition, a glucagon-like peptide-1 agonist (liraglutide) was added to her pharmacotherapy. Continued dietary modifications with LC intake led to consistent reductions in glargine and aspart insulin therapy. The patient remained motivated throughout clinic visits due to improved glycemic control with sustainable dietary modifications, consistently reported feeling better overall, and deprescribed diabetes drug therapies. She remained off her blood pressure medications. After4 months of LC dietary modifications, all insulin therapy was discontinued. She continued with liraglutide 1.8 mg daily and metformin 1000 mg twice daily with an HbA1c of 6.3%. Two months later, her HbA1c level was 6.0%. She also lost 8 lb and her body mass index improved from 31 to 29.

 

 

Low-Carbohydrate T2DM DIET MANAGEMENT

LC diets are commonly defined as < 130 g of carbohydrates per day.13 Very LC ketogenic (VLCK) diets often contain ≤ 50 g of carbohydrates per day to induce nutritional ketosis.13 One of the first randomized controlled trials (RCTs) that compared a VLCK diet (< 30 g of carbohydrates per day) with a low-fat diet for obesity demonstrated greater weight loss at 6 months with the LC diet. In addition, patients with diabetes randomized to the LC group also showed improved insulin sensitivity. Notably, this study was done in a population of veterans enrolled at the VA Philadelphia Health Care System.14

A 2008 study comparing an LC diet with a calorie-restricted, low-glycemic diet for individuals with T2DM found that the LC diet group experienced a greater reduction in HbA1c and insulin levels and weight.15 Comparing these 2 diet groups after 24 weeks, 95% of individuals in the LC group reduced or discontinued T2DM medications vs 62% in the low-glycemic group.15 Another study of individuals with T2DM compared a VLCK diet with a low-fat diet. After 34 weeks, 55% of individuals in the LC diet group achieved an HbA1c level below the threshold for diabetes vs 0% in the low-fat diet group.16 A 2018 study of patients with T2DM investigated the impact of a very LC diet compared with the standard of care.17 After 1 year, the LC diet group experienced a mean HbA1c reduction of 1.3%, and 60% of individuals who completed the study achieved an HbA1c level < 6.5% without T2DM medications (not including metformin). This study also demonstrated that medications were significantly reduced, including 100% discontinuation of sulfonylureas and 94% reduction or elimination of insulin.

A recent study of an LC diet (< 20% energy from carbohydrates) demonstrated reduced HbA1c levels, weight, and waist circumference vs a control diet after 6 months. The control diet derived 50% to 60% of energy from carbohydrates.18 This study is typical of other LC interventions, which did not calorie restrict and instead allowed ad libitum intake.14,15

table 1

With mounting evidence, the VA/DoD guidelines on T2DM management included LC diets as dietary options for treating T2DM. The ADA also determined that LC diets had the most evidence in improving glycemia and included LC diets as an option for medical nutrition therapy (Table 1).10,19

A systematic review and meta-analysis looking at RCTs of LC diets found evidence for remission of T2DM without significant adverse effects (AEs).20 Another recent systematic review and network meta-analysis of 42 RCTs found that the ketogenic diet was superior for a reduction in HbA1c levels compared with 9 other dietary patterns, including low-fat, Mediterranean, and vegetarian/vegan diets. Overall, ketogenic, Mediterranean, moderate-carbohydrate, and low-glycemic index diets demonstrated improved glycemic control.21

Ideally, a comprehensive behavioral program, such as the VA Move! or Whole Health program, should incorporate patient aligned care teams (PACTs), behavioral health clinicians, clinical pharmacists, and dietitians to provide medical-nutrition therapy using LC diets. However, many facilities may not have adequate experience, expertise, or support. We provide practical approaches to provide LC nutrition counseling, medication management, and deprescribing for any primary care clinician applying LC diets for their patients. For simplicity and practicality, we define 3 types of LC dietary patterns: (1) VLCK (< 50 g); (2) LC (50-100 g); and (3) moderate LC (101-150 g).

Nutrition

table 2

All nutrition approaches, including LC diets, should be patient centered, individualized, and sensitive to the patient's culture. Typically, many patients have previously been instructed to consume low-fat (and subsequently) high-carbohydrate (> 150 g) meals. Most well-meaning clinicians have provided common-approach diet education from mainstream health organizations in the form of standardized handouts. For example, the Carbohydrate Counting for People with Diabetes patient education handout from the Academy of Nutrition and Dietetics provides a sample menu with 3 meals and 1 snack totaling 195 g of carbohydrates.22 In contrast, an example ADA diet has sample diets with 3 meals and 2 snacks with approximately 20 to 70 g of carbohydrates.23 In the VA, there are excellent resources to review and standardize handouts that emphasize an LC nutrition approach to T2DM, including ketogenic versions.24,25 Table 2 shows example meal plans based on different LC patterns—VLCK, LC, and moderate LC.

 

 

Starting an LC dietary pattern should maximize nutrient-dense and minimally processed proteins. Clinicians should begin with a baseline nutritional assessment through a 24-hour recall or food diary. After this has been completed, the patient’s baseline diet is assessed, and a gradual carbohydrate reduction plan is discussed. Generally, carbohydrate reduction is recommended at 1 meal per day per week. High-carbohydrate meals and snacks are restructured to favor satiating, minimally processed, high-protein food sources. Individual food preferences are considered and included in the recommended LC plan. For example, LC diets can be formulated for vegetarians and vegans as well as those who prefer meat and seafood. Prioritizing satiating and nutrient-dense foods can help increase the probability of diet acceptance and adherence.

A recent studyshowed that restricting carbohydrates at breakfast reduces 24-hour postprandial hyperglycemia and improves glycemic variability.26 Many patients consume upward of 50 g of carbohydrates at breakfast.27 For example, it is not uncommon for a patient to consume cereal with milk or oatmeal, orange juice, a banana, and toast at breakfast. Instead, the patient is advised to consume any combination of eggs, meat, no-sugar-added Greek yogurt, or berries.

To keep things simple for lunch and dinner, the patient is offered high-quality, minimally processed protein of their choosing with any nonstarchy vegetable. Should a patient desire additional carbohydrates with meals, they may reduce the baseline serving of carbohydrates by 50%. For example, if a patient normally fills 50% of their plate with spaghetti, they may reduce the pasta portion to 25% and add a meatball or increase the amount of vegetables consumed with the meal to satiety.

Snacks may include cheese, eggs, peanut butter, nuts, seeds, berries, no-sugar-added Greek yogurt, or guacamole. Oftentimes, when LC meals are adopted, the desire or need for snacking is diminished due to the satiating effect of high-quality protein sources and nonstarchy vegetables.

Adverse Effects

AEs have been reported with VLCK diets, including headache, diarrhea, constipation, muscle cramps, halitosis, light-headedness, and muscle weakness.28 These AEs may be mitigated with increased fluid intake, sodium intake, and magnesium supplementation.29 Increasing fluids to a minimum of 2 L/d and adding sodium (eg, bouillon supplementation) can minimize AEs.30 Milk of magnesia (5 mL) or slow-release magnesium chloride 200 mEq/d is suggested to reduce muscle cramps.30 There have been no studies looking at sodium intake and worsening hypertension or chronic heart failure in the setting of an LC diet, but fluid and electrolyte intake should be monitored closely, especially in patients with uncontrolled hypertension and heart failure. Other concerns of higher protein on worsening kidney function have generally not been founded.31 In some individuals, an LC and higher fat diet may increase low-density lipoprotein cholesterol (LDL-C).32 Therefore a baseline lipid panel is recommended and should be monitored along with HbA1c levels. An elevated LDL-C response may be managed by increasing protein and reducing saturated fat intake while maintaining the reduced carbohydrate content of the diet.

Medication Management

table 3

The adoption of an LC diet can cause a swift and profound reduction in blood sugar.33 Utilizing PACTs can help prevent adverse drug events by involving clinical pharmacists to provide recommendations and dose reductions as patients adopt an LC diet. Each approach must be individualized to the patient and can depend on several factors, including the number and strength of medications, the degree of carbohydrate reduction, baseline blood glucose, as well as assessing for medical literacy and ability to implement recommendations. Additionally, patients should monitor their blood sugar regularly and communicate with their primary care team (pharmacist, PACT registered nurse, primary care clinician, and registered dietician). Ultimately, the goal when adopting an LC diet while taking antihyperglycemics is safely avoiding hypoglycemia while reducing the number of medications the patient is taking. We summarize a practical approach to medication management that was recently published (Table 3).33,34

 

 

Medications to Reduce or Discontinue

table 4

Medications that can cause hypoglycemia should be the first to be reduced or discontinued upon starting an LC diet, including bolus insulin (although a small amount may be needed to correct for high blood sugar), sulfonylureas, and meglitinides. Combination insulin should be stopped and changed to basal insulin to avoid the risk of hypoglycemia (see Table 4 for insulin deprescribing recommendations). The mechanism of action in preventing the breakdown of carbohydrates in the gastrointestinal tract makes the use of α-glucosidase inhibitors superfluous, and they can be discontinued, reducing pill burden and polypharmacy risks. Sodium-glucose transport protein 2 inhibitors (SGLT2i) should be discontinued for patients on VLCK diets due to the risk of euglycemic diabetic ketoacidosis. However, with LC and moderate LC plans, the SGLT2i may be used with caution as long as patients are made aware of ketoacidosis symptoms. To help prevent the risk of hypoglycemia, basal/long-acting insulin can be continued, but at a 50% reduced dose. Patients should closely monitor blood sugar to assess for appropriateness of dose reductions. While thiazolidinediones are not contraindicated, clinicians can consider discontinuation given both their penchant for inducing weight gain and their limited outcomes data.

Medications to Continue

Medications that pose minimal risk for hypoglycemia can be continued, including metformin, dipeptidyl peptidase 4 inhibitors, and glucagon-like peptide-1 agonists. However, even though these may pose a low risk of hypoglycemia, patients should still closely monitor their blood glucose so medications can be deprescribed as soon as safely and reasonably possible.

Other Medications

The improvement in metabolic health with the reduction of carbohydrates can render other classes of medications unnecessary or require adjustment. Patients should be counseled to monitor their blood pressure as significant and rapid improvements can occur. In the event of a systolic blood pressure of 100 to 110 mm Hg or signs of hypotension, down titration or discontinuation of antihypertensives should be initiated. Limited evidence exists on the preferred order of discontinuation but should be informed by other comorbidities, such as coronary artery disease and chronic kidney disease. Given an LC diet’s diuretic effect, tapering and stopping diuretics may be an option. Other medications requiring closer monitoring include lithium (can be affected by fluid and electrolyte shifts), warfarin (may alter vitamin K intake), valproate (which may be reduced), and zonisamide and topiramate (kidney stone risk).

Remission of T2DM with LC Diets

As patients adopt LC diets and medications are deprescribed and glycemia improves, HbA1c and fasting glucose levels may drop below the diagnostic threshold for T2DM.20 As new evidence emerges surrounding the management of T2DM from a lifestyle perspective, major health care organizations have acknowledged that T2DM is not necessarily an incurable, progressive disease, but rather a disease that can be reversed or put in remission.35-37 In 2016, the World Health Organization (WHO) global report on diabetes acknowledged that T2DM reversal can be achieved via weight loss and calorie restriction.35

In 2021, a consensus statement from the ADA, the Endocrine Society, the EASD, and Diabetes UK defined T2DM remission as an HbA1c level < 6.5% for at least 3 months with no T2DM medications.36 Diabetes Australia also published a position statement in 2021 about T2DM remission.37 Like the WHO, Diabetes Australia acknowledged that remission of T2DM is possible following intensive dietary changes or bariatric surgery.37 Before the 2021 consensus statement, some experts argued that excluding metformin from the T2DM medication list may not be warranted since metformin has indications beyond T2DM. In this case, remission of T2DM could be defined as an HbA1c level < 6.5% for at least 3 months and on metformin or no T2DM medications.8  

 

 

Emerging Strategies

Emerging strategies, such as continuous glucose monitors (CGMs) and the use of intermittent fasting/time-restricted eating (TRE), can be used with the LC diet to help improve the monitoring and management of T2DM. In the recently published VA/DoD guidelines for T2DM, the work group suggested real-time CGMs for qualified patients with T2DM.4 These include patients on daily insulin who are not achieving glycemic control or to reduce the risk for hypoglycemia. CGMs have shown evidence of improved glycemic control and decreased hypoglycemia in those with T2DM.38,39 It is currently unknown if CGMs improve long-term glycemic control, but they appear promising for managing and reducing medications for those on an LC diet.40

TRE can be supplemented with an LC plan that incorporates “eating windows.” Common patterns include 14 hours of fasting and a 10-hour eating window (14F:10E), or 16 hours of fasting and an 8-hour eating window (16F:8E). By eating only in the specified window, patients generally reduce caloric intake and minimize insulin and glucose excursions during the fasting window. No changes need to be made to the macronutrient composition of the diet, and LC approaches can be used with TRE. The mechanism of action is likely multifactorial, targeting hyperinsulinemia and insulin resistance as well as producing a caloric deficit to enable weight loss.41 Eating windows may improve insulin sensitivity, reduce insulin resistance, and enhance overall glycemic control. The recent VA/DoD guidelines recommended against intermittent fasting due to concerns over the risk of hypoglycemia despite larger weight loss in TRE groups.4 Recently, a study using CGMs and TRE demonstrated both improved glycemic control and no hypoglycemic episodes in patients with T2DM on insulin.42 Patients who would like to supplement TRE with an LC plan as a strategy for improved glycemic control should work closely with their PACT to help manage their TRE and LC plan and consider a CGM adjunct, especially if on insulin.

Barriers

Managing T2DM often requires comprehensive lifestyle modifications of nutrition, exercise, sleep, stress management, and other psychosocial issues, as well as an interdisciplinary team-based approach.43 The advantage of working within the VA includes a uniform system within a network of care. However, many patients continue to use both federal and private health care. This use of out-of-network care may result in fragmented, potentially disjointed, or even contradictory dietary advice.

The VA PACT, whole health for holistic health, and weight loss interventions such as the MOVE! program provide lifestyle interventions like nutrition, physical activity, and behavior change. However, these well-intentioned approaches may provide alternative and even diverging recommendations, which place additional barriers to effective patient management. In patients who are advised and accept a trial of an LC plan, each member of the team should embrace the self-management decision of the patient and support the plan.29 Any conflicts, questions, or concerns should be communicated directly with the team in an interdisciplinary approach to provide a unified message and counsel.

The long-term effects and sustainability of an LC diet have been questioned in the literature.44-46 Recently, the use of an app-based coaching plan has demonstrated short- and long-term sustainability on an LC diet.47 In just 5 months in a large VA system, 590 patients using a virtual coaching platform and a VLCK diet plan were found to have lower HbA1c levels, reduced diabetic medication fills, lower body mass index, fewer outpatient visits, and lower prescription drug costs.

A 5-year follow-up found nearly 50% of participants sustained a VLCK diet for T2DM. For patients who participated in the study after 2 years, 72% sustained the VLCK diet in years 2 to 5. Most required nearly 50% fewer medications and in those that started with insulin, half did not require it at 5 years.48 Further research, however, is necessary to determine the long-term effects on cardiometabolic markers and health with LC diets. There are no long-term RCTs on outcomes data looking at T2DM morbidity or mortality. While there are prospective cohort studies on LC diets in the general population on mortality, they demonstrate mixed results. These studies may be confounded by heterogeneous definitions of LC diets, diet quality, and other health factors.49-51

Conclusions

The effective use of LC diets within a PACT with close and intensive lifestyle counseling and a safe approach to medication management and deprescribing can improve glycemic control, reduce the overall need for insulin, reduce medication use, and provide sustained weight loss. Additionally, the use of therapeutic carbohydrate reduction and subsequent medication deprescription may lead to sustained remission of T2DM. The current efficacy and sustainment of therapeutic carbohydrate reduction for patients with T2DM appears promising. Further research on LC diets, emerging strategies, and long-term effects on cardiometabolic risk factors, morbidity, and mortality will continue to inform future practice in our health care system.

Acknowledgments

We thank Cecile Seth who has been instrumental in pushing us forward and the Metabolic Multiplier group who has helped encourage and provide input into this article.

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29. Griauzde DH, Standafer Lopez K, Saslow LR, Richardson CR. A pragmatic approach to translating low- and very low-carbohydrate diets into clinical practice for patients with obesity and type 2 diabetes. Front Nutr. 2021;8:416. doi:10.3389/FNUT.2021.682137/BIBTEX

30. Westman EC, Tondt J, Maguire E, Yancy WS. Implementing a low-carbohydrate, ketogenic diet to manage type 2 diabetes mellitus. Expert Rev Endocrinol Metab. 2018;13(5):263-272. doi:10.1080/17446651.2018.1523713

31. Suyoto PST. Effect of low-carbohydrate diet on markers of renal function in patients with type 2 diabetes: a meta-analysis. Diabetes Metab Res Rev. 2018;34(7). doi:10.1002/DMRR.3032

32. Norwitz NG, Feldman D, Soto-Mota A, Kalayjian T, Ludwig DS. Elevated LDL cholesterol with a carbohydrate-restricted diet: evidence for a “lean mass hyper-responder” phenotype. Curr Dev Nutr. 2021;6(1). doi:10.1093/CDN/NZAB144

33. Murdoch C, Unwin D, Cavan D, Cucuzzella M, Patel M. Adapting diabetes medication for low carbohydrate management of type 2 diabetes: a practical guide. Br J Gen Pract. 2019;69(684):360-361. doi:10.3399/bjgp19X704525

34. Cucuzzella M, Riley K, Isaacs D. Adapting medication for type 2 diabetes to a low carbohydrate diet. Front Nutr. 2021;8:486. doi:10.3389/FNUT.2021.688540/BIBTEX

35. World Health Organization. Global report on diabetes. 2016. Accessed October 6, 2023. https://iris.who.int/bitstream/handle/10665/204871/9789241565257_eng.pdf?sequence=1

36. Riddle MC, Cefalu WT, Evans PH, et al. Consensus report: definition and interpretation of remission in type 2 diabetes. Diabetes Care. 2021;44(10):2438-2444. doi:10.2337/DCI21-0034

37. Diabetes Australia. Type 2 Diabetes remission position statement. 2021. Accessed October 6, 2023. https://www.diabetesaustralia.com.au/wp-content/uploads/2021_Diabetes-Australia-Position-Statement_Type-2-diabetes-remission_2.pdf

38. Martens T, Beck RW, Bailey R, et al. Effect of continuous glucose monitoring on glycemic control in patients with type 2 diabetes treated with basal insulin: a randomized clinical trial. JAMA. 2021;325(22):2262-2272. doi:10.1001/JAMA.2021.7444

39. Jackson MA, Ahmann A, Shah VN. Type 2 diabetes and the use of real-time continuous glucose monitoring. Diabetes Technol Ther. 2021;23(S1):S27-S34. doi:10.1089/DIA.2021.0007

40. Oser TK, Cucuzzella M, Stasinopoulos M, Moncrief M, McCall A, Cox DJ. An innovative, paradigm-shifting lifestyle intervention to reduce glucose excursions with the use of continuous glucose monitoring to educate, motivate, and activate adults with newly diagnosed type 2 diabetes: pilot feasibility study. JMIR Diabetes. 2022;7(1). doi:10.2196/34465

41. Światkiewicz I, Woźniak A, Taub PR. Time-restricted eating and metabolic syndrome: current status and future perspectives. Nutrients. 2021;13(1):221. doi:10.3390/NU13010221

42. Obermayer A, Tripolt NJ, Pferschy PN, et al. Efficacy and safety of intermittent fasting in people with insulin-treated type 2 diabetes (INTERFAST-2)—a randomized controlled trial. Diabetes Care. 2023;46(2):463-468. doi:10.2337/dc22-1622

43. American Diabetes Association. 5. Lifestyle management: standards of medical care in diabetes—2019. Diabetes Care. 2019;42(suppl 1):S46-S60. doi:10.2337/DC19-S005

44. Li S, Ding L, Xiao X. Comparing the efficacy and safety of low-carbohydrate diets with low-fat diets for type 2 diabetes mellitus patients: a systematic review and meta-analysis of randomized clinical trials. Int J Endocrinol. 2021;2021:8521756. Published 2021 Dec 6. doi:10.1155/2021/8521756

45. Choi JH, Kang JH, Chon S. Comprehensive understanding for application in Korean patients with type 2 diabetes mellitus of the consensus statement on carbohydrate-restricted diets by Korean Diabetes Association, Korean Society for the Study of Obesity, and Korean Society of Hypertension. Diabetes Metab J. 2022;46(3):377. doi:10.4093/DMJ.2022.0051

46. Jayedi A, Zeraattalab-Motlagh S, Jabbarzadeh B, et al. Dose-dependent effect of carbohydrate restriction for type 2 diabetes management: a systematic review and dose-response meta-analysis of randomized controlled trials. Am J Clin Nutr. 2022;116(1). doi:10.1093/AJCN/NQAC066

47. Strombotne KL, Lum J, Ndugga NJ, et al. Effectiveness of a ketogenic diet and virtual coaching intervention for patients with diabetes: a difference-in-differences analysis. Diabetes Obes Metab. 2021;23(12):2643-2650. doi:10.1111/DOM.14515

48. Virta Health. Virta Health highlights lasting, transformative health improvements in 5-year diabetes reversal study. June 5, 2022. Accessed October 6, 2023. https://www.virtahealth.com/blog/virta-sustainable-health-improvements-5-year-diabetes-reversal-study

49. Wan Z, Shan Z, Geng T, et al. Associations of moderate low-carbohydrate diets with mortality among patients with type 2 diabetes: a prospective cohort study. J Clin Endocrinol Metab. 2022;107(7):E2702-E2709. doi:10.1210/CLINEM/DGAC235

50. Akter S, Mizoue T, Nanri A, et al. Low carbohydrate diet and all cause and cause-specific mortality. Clin Nutr. 2021;40(4):2016-2024. doi:10.1016/J.CLNU.2020.09.022

51. Shan Z, Guo Y, Hu FB, Liu L, Qi Q. Association of low-carbohydrate and low-fat diets with mortality among US adults. JAMA Intern Med. 2020;180(4):513-523. doi:10.1001/JAMAINTERNMED.2019.6980

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Robert C. Oh, MD, MPHa; Kendrick C. Murphy, PharmD, BCACP, MHPb; Cory M. Jenks, PharmD, MHP, BCPS, BCACPc;  Kathleen B. Lopez, RDN, CDCES, CNSCd; Mahendra A. Patel, PharmD, BCPSe; Emily E. Scotland, MSN, FNP-Ce;  Monu Khanna, MD, MHPf

Correspondence:  Robert Oh ([email protected])

aVeterans Affairs Palo Alto Health Care System, California

bWestern North Carolina Veterans Affairs Health Care System, Asheville

cAmbulatory Care Clinical Pharmacist Society of Metabolic Health Practitioners, Tucson, Arizona

dVeterans Affairs Boston Health Care System, Massachusetts

eSouthern Arizona Veterans Affairs Health Care System, Tucson

fVeterans Affairs St Louis Health Care System, Missouri

Author disclosures
CM Jenks is married to an employee of Virta Medical, which provides care related to type 2 diabetes and ketogenic diets.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Robert C. Oh, MD, MPHa; Kendrick C. Murphy, PharmD, BCACP, MHPb; Cory M. Jenks, PharmD, MHP, BCPS, BCACPc;  Kathleen B. Lopez, RDN, CDCES, CNSCd; Mahendra A. Patel, PharmD, BCPSe; Emily E. Scotland, MSN, FNP-Ce;  Monu Khanna, MD, MHPf

Correspondence:  Robert Oh ([email protected])

aVeterans Affairs Palo Alto Health Care System, California

bWestern North Carolina Veterans Affairs Health Care System, Asheville

cAmbulatory Care Clinical Pharmacist Society of Metabolic Health Practitioners, Tucson, Arizona

dVeterans Affairs Boston Health Care System, Massachusetts

eSouthern Arizona Veterans Affairs Health Care System, Tucson

fVeterans Affairs St Louis Health Care System, Missouri

Author disclosures
CM Jenks is married to an employee of Virta Medical, which provides care related to type 2 diabetes and ketogenic diets.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent
Written consent for publication has been obtained from the patient reported in the illustrative case.

Author and Disclosure Information

Robert C. Oh, MD, MPHa; Kendrick C. Murphy, PharmD, BCACP, MHPb; Cory M. Jenks, PharmD, MHP, BCPS, BCACPc;  Kathleen B. Lopez, RDN, CDCES, CNSCd; Mahendra A. Patel, PharmD, BCPSe; Emily E. Scotland, MSN, FNP-Ce;  Monu Khanna, MD, MHPf

Correspondence:  Robert Oh ([email protected])

aVeterans Affairs Palo Alto Health Care System, California

bWestern North Carolina Veterans Affairs Health Care System, Asheville

cAmbulatory Care Clinical Pharmacist Society of Metabolic Health Practitioners, Tucson, Arizona

dVeterans Affairs Boston Health Care System, Massachusetts

eSouthern Arizona Veterans Affairs Health Care System, Tucson

fVeterans Affairs St Louis Health Care System, Missouri

Author disclosures
CM Jenks is married to an employee of Virta Medical, which provides care related to type 2 diabetes and ketogenic diets.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent
Written consent for publication has been obtained from the patient reported in the illustrative case.

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The prevalence of diabetes continues to increase despite advances in treatment options. In 2019, according to the Centers for Disease Control and Prevention (CDC), 37.1 million (14.7%) US adults had diabetes. Among adults aged ≥ 65 years, the prevalence is even higher at 29.2%.1 Research has also estimated that 45% of adults have evidence of prediabetes or diabetes.2 According to the Veterans Health Administration, almost 25% of enrolled veterans have diabetes.3

Background

Diabetes is associated with an increased risk of microvascular complications (eg, retinopathy, nephropathy, and neuropathy) and macrovascular complications (eg, atherosclerotic cardiovascular disease) and is one of the most common causes of morbidity and mortality in the US.4 In 2017, diabetes was estimated to cost $327 billion in the US, up from $261 billion in 2012.5 During this same period, the excess costs per person with diabetes increased from $8417 to $9601.5

Type 2 diabetes mellitus (T2DM) and its associated insulin resistance is typically considered a chronic disease with progressive loss of β-cell function. Controlling glycemia, delaying microvascular changes, and preventing macrovascular disease are major management goals. Lifestyle interventions are essential in the management and prevention of T2DM. Medication management for T2DM usually progresses through several medications, ending in insulin therapy.6 Within 10 years of diagnosis, almost half of all individuals with T2DM will require insulin to manage their glycemia.7

Bariatric surgery and nutrition approaches have been successful in reversing T2DM. Recently, there has been increased interest in nutritional approaches to place T2DM in remission, reverse the disease process, and improve insulin resistance. Contrary to popular belief, before the discovery of insulin in 1921, low-carbohydrate (LC) diets were the most common treatment for T2DM.8 With the discovery of insulin and the eventual development of low-fat dietary recommendations, LC diets were no longer favored by most clinicians.8 Low-fat diets are, by definition, also high-carbohydrate diets. By the early 1980s, low-fat diets had become the standard of care dietary recommendation, and the goal for clinicians became glycemic maintenance (with increased use of medications) rather than preventing hyperglycemia.8

With growing evidence regarding the use of LC diets for T2DM, the US Department of Veterans Affairs (VA) and US Department of Defense (DoD), the American Diabetes Association (ADA), the European Association for the Study of Diabetes (EASD), Diabetes Canada, and Diabetes Australia all include LC diets as a viable option for treating T2DM.4,9-12 This article will highlight a case using a reduced carbohydrate approach in lifestyle management and provide clinicians with practical guidance in its implementation. We will review the evidence that informs these guidelines, describe a practical approach to nutritional counseling, and review medication management and deprescribing approaches. Finally, barriers to implementation will be explored.

ILLUSTRATIVE CASE

A 64-year-old woman presented to the clinical pharmacist for the management of T2DM after her tenth hospitalization related to hyperglycemia in 10 years. She had previously been managed by primary care clinicians, clinical dietitians, endocrinologists, and certified diabetes care and education specialists. Pertinent history included diabetic ketoacidosis, coronary artery disease, hyperlipidemia, hypertension, obstructive sleep apnea, obesity, metabolic dysfunction-associated steatotic liver disease, and mild nonproliferative diabetic retinopathy with clinically significant macular edema. The patient expressed frustration with poor glycemic control during her many years of insulin therapy and an inability to lose weight due to insulin dose titrations. The patient reported prior education including but not limited to standardized sample menus, consistent carbohydrate intake, calorie reduction, general healthful nutrition, and the “move more, eat less” approach. The patient was unable to titrate insulin dosage and did not experience weight loss despite compliance with these methods.

Her medications included glargine insulin 45 units once daily, aspart insulin 5 units before meals 3 times daily, and metformin 1000 mg twice daily. Her hemoglobin A1c (HbA1c) level was 11.8%. A review of prior therapies for T2DM included glyburide 5 mg twice daily, metformin 1000 mg twice daily, 70/30 insulin (up to 340 units/d), glargine insulin (range, 10-140 units/d), regular insulin (range, 30-240 units/d), aspart insulin (range, 15-45 units/d), and U-500 regular insulin (range, 125-390 units/d). She took metoprolol 25 mg extended release daily and hydrochlorothiazide 25 mg daily, but both were discontinued after the most recent hospitalization. A review of HbA1c readings showed poor glycemic control for > 12 years (range, 10.3% to > 12.3%).

Education for lifestyle modifications, including an LC diet, was presented to the patient to assist with weight loss, improve glycemic control, and reduce insulin resistance. In addition, a glucagon-like peptide-1 agonist (liraglutide) was added to her pharmacotherapy. Continued dietary modifications with LC intake led to consistent reductions in glargine and aspart insulin therapy. The patient remained motivated throughout clinic visits due to improved glycemic control with sustainable dietary modifications, consistently reported feeling better overall, and deprescribed diabetes drug therapies. She remained off her blood pressure medications. After4 months of LC dietary modifications, all insulin therapy was discontinued. She continued with liraglutide 1.8 mg daily and metformin 1000 mg twice daily with an HbA1c of 6.3%. Two months later, her HbA1c level was 6.0%. She also lost 8 lb and her body mass index improved from 31 to 29.

 

 

Low-Carbohydrate T2DM DIET MANAGEMENT

LC diets are commonly defined as < 130 g of carbohydrates per day.13 Very LC ketogenic (VLCK) diets often contain ≤ 50 g of carbohydrates per day to induce nutritional ketosis.13 One of the first randomized controlled trials (RCTs) that compared a VLCK diet (< 30 g of carbohydrates per day) with a low-fat diet for obesity demonstrated greater weight loss at 6 months with the LC diet. In addition, patients with diabetes randomized to the LC group also showed improved insulin sensitivity. Notably, this study was done in a population of veterans enrolled at the VA Philadelphia Health Care System.14

A 2008 study comparing an LC diet with a calorie-restricted, low-glycemic diet for individuals with T2DM found that the LC diet group experienced a greater reduction in HbA1c and insulin levels and weight.15 Comparing these 2 diet groups after 24 weeks, 95% of individuals in the LC group reduced or discontinued T2DM medications vs 62% in the low-glycemic group.15 Another study of individuals with T2DM compared a VLCK diet with a low-fat diet. After 34 weeks, 55% of individuals in the LC diet group achieved an HbA1c level below the threshold for diabetes vs 0% in the low-fat diet group.16 A 2018 study of patients with T2DM investigated the impact of a very LC diet compared with the standard of care.17 After 1 year, the LC diet group experienced a mean HbA1c reduction of 1.3%, and 60% of individuals who completed the study achieved an HbA1c level < 6.5% without T2DM medications (not including metformin). This study also demonstrated that medications were significantly reduced, including 100% discontinuation of sulfonylureas and 94% reduction or elimination of insulin.

A recent study of an LC diet (< 20% energy from carbohydrates) demonstrated reduced HbA1c levels, weight, and waist circumference vs a control diet after 6 months. The control diet derived 50% to 60% of energy from carbohydrates.18 This study is typical of other LC interventions, which did not calorie restrict and instead allowed ad libitum intake.14,15

table 1

With mounting evidence, the VA/DoD guidelines on T2DM management included LC diets as dietary options for treating T2DM. The ADA also determined that LC diets had the most evidence in improving glycemia and included LC diets as an option for medical nutrition therapy (Table 1).10,19

A systematic review and meta-analysis looking at RCTs of LC diets found evidence for remission of T2DM without significant adverse effects (AEs).20 Another recent systematic review and network meta-analysis of 42 RCTs found that the ketogenic diet was superior for a reduction in HbA1c levels compared with 9 other dietary patterns, including low-fat, Mediterranean, and vegetarian/vegan diets. Overall, ketogenic, Mediterranean, moderate-carbohydrate, and low-glycemic index diets demonstrated improved glycemic control.21

Ideally, a comprehensive behavioral program, such as the VA Move! or Whole Health program, should incorporate patient aligned care teams (PACTs), behavioral health clinicians, clinical pharmacists, and dietitians to provide medical-nutrition therapy using LC diets. However, many facilities may not have adequate experience, expertise, or support. We provide practical approaches to provide LC nutrition counseling, medication management, and deprescribing for any primary care clinician applying LC diets for their patients. For simplicity and practicality, we define 3 types of LC dietary patterns: (1) VLCK (< 50 g); (2) LC (50-100 g); and (3) moderate LC (101-150 g).

Nutrition

table 2

All nutrition approaches, including LC diets, should be patient centered, individualized, and sensitive to the patient's culture. Typically, many patients have previously been instructed to consume low-fat (and subsequently) high-carbohydrate (> 150 g) meals. Most well-meaning clinicians have provided common-approach diet education from mainstream health organizations in the form of standardized handouts. For example, the Carbohydrate Counting for People with Diabetes patient education handout from the Academy of Nutrition and Dietetics provides a sample menu with 3 meals and 1 snack totaling 195 g of carbohydrates.22 In contrast, an example ADA diet has sample diets with 3 meals and 2 snacks with approximately 20 to 70 g of carbohydrates.23 In the VA, there are excellent resources to review and standardize handouts that emphasize an LC nutrition approach to T2DM, including ketogenic versions.24,25 Table 2 shows example meal plans based on different LC patterns—VLCK, LC, and moderate LC.

 

 

Starting an LC dietary pattern should maximize nutrient-dense and minimally processed proteins. Clinicians should begin with a baseline nutritional assessment through a 24-hour recall or food diary. After this has been completed, the patient’s baseline diet is assessed, and a gradual carbohydrate reduction plan is discussed. Generally, carbohydrate reduction is recommended at 1 meal per day per week. High-carbohydrate meals and snacks are restructured to favor satiating, minimally processed, high-protein food sources. Individual food preferences are considered and included in the recommended LC plan. For example, LC diets can be formulated for vegetarians and vegans as well as those who prefer meat and seafood. Prioritizing satiating and nutrient-dense foods can help increase the probability of diet acceptance and adherence.

A recent studyshowed that restricting carbohydrates at breakfast reduces 24-hour postprandial hyperglycemia and improves glycemic variability.26 Many patients consume upward of 50 g of carbohydrates at breakfast.27 For example, it is not uncommon for a patient to consume cereal with milk or oatmeal, orange juice, a banana, and toast at breakfast. Instead, the patient is advised to consume any combination of eggs, meat, no-sugar-added Greek yogurt, or berries.

To keep things simple for lunch and dinner, the patient is offered high-quality, minimally processed protein of their choosing with any nonstarchy vegetable. Should a patient desire additional carbohydrates with meals, they may reduce the baseline serving of carbohydrates by 50%. For example, if a patient normally fills 50% of their plate with spaghetti, they may reduce the pasta portion to 25% and add a meatball or increase the amount of vegetables consumed with the meal to satiety.

Snacks may include cheese, eggs, peanut butter, nuts, seeds, berries, no-sugar-added Greek yogurt, or guacamole. Oftentimes, when LC meals are adopted, the desire or need for snacking is diminished due to the satiating effect of high-quality protein sources and nonstarchy vegetables.

Adverse Effects

AEs have been reported with VLCK diets, including headache, diarrhea, constipation, muscle cramps, halitosis, light-headedness, and muscle weakness.28 These AEs may be mitigated with increased fluid intake, sodium intake, and magnesium supplementation.29 Increasing fluids to a minimum of 2 L/d and adding sodium (eg, bouillon supplementation) can minimize AEs.30 Milk of magnesia (5 mL) or slow-release magnesium chloride 200 mEq/d is suggested to reduce muscle cramps.30 There have been no studies looking at sodium intake and worsening hypertension or chronic heart failure in the setting of an LC diet, but fluid and electrolyte intake should be monitored closely, especially in patients with uncontrolled hypertension and heart failure. Other concerns of higher protein on worsening kidney function have generally not been founded.31 In some individuals, an LC and higher fat diet may increase low-density lipoprotein cholesterol (LDL-C).32 Therefore a baseline lipid panel is recommended and should be monitored along with HbA1c levels. An elevated LDL-C response may be managed by increasing protein and reducing saturated fat intake while maintaining the reduced carbohydrate content of the diet.

Medication Management

table 3

The adoption of an LC diet can cause a swift and profound reduction in blood sugar.33 Utilizing PACTs can help prevent adverse drug events by involving clinical pharmacists to provide recommendations and dose reductions as patients adopt an LC diet. Each approach must be individualized to the patient and can depend on several factors, including the number and strength of medications, the degree of carbohydrate reduction, baseline blood glucose, as well as assessing for medical literacy and ability to implement recommendations. Additionally, patients should monitor their blood sugar regularly and communicate with their primary care team (pharmacist, PACT registered nurse, primary care clinician, and registered dietician). Ultimately, the goal when adopting an LC diet while taking antihyperglycemics is safely avoiding hypoglycemia while reducing the number of medications the patient is taking. We summarize a practical approach to medication management that was recently published (Table 3).33,34

 

 

Medications to Reduce or Discontinue

table 4

Medications that can cause hypoglycemia should be the first to be reduced or discontinued upon starting an LC diet, including bolus insulin (although a small amount may be needed to correct for high blood sugar), sulfonylureas, and meglitinides. Combination insulin should be stopped and changed to basal insulin to avoid the risk of hypoglycemia (see Table 4 for insulin deprescribing recommendations). The mechanism of action in preventing the breakdown of carbohydrates in the gastrointestinal tract makes the use of α-glucosidase inhibitors superfluous, and they can be discontinued, reducing pill burden and polypharmacy risks. Sodium-glucose transport protein 2 inhibitors (SGLT2i) should be discontinued for patients on VLCK diets due to the risk of euglycemic diabetic ketoacidosis. However, with LC and moderate LC plans, the SGLT2i may be used with caution as long as patients are made aware of ketoacidosis symptoms. To help prevent the risk of hypoglycemia, basal/long-acting insulin can be continued, but at a 50% reduced dose. Patients should closely monitor blood sugar to assess for appropriateness of dose reductions. While thiazolidinediones are not contraindicated, clinicians can consider discontinuation given both their penchant for inducing weight gain and their limited outcomes data.

Medications to Continue

Medications that pose minimal risk for hypoglycemia can be continued, including metformin, dipeptidyl peptidase 4 inhibitors, and glucagon-like peptide-1 agonists. However, even though these may pose a low risk of hypoglycemia, patients should still closely monitor their blood glucose so medications can be deprescribed as soon as safely and reasonably possible.

Other Medications

The improvement in metabolic health with the reduction of carbohydrates can render other classes of medications unnecessary or require adjustment. Patients should be counseled to monitor their blood pressure as significant and rapid improvements can occur. In the event of a systolic blood pressure of 100 to 110 mm Hg or signs of hypotension, down titration or discontinuation of antihypertensives should be initiated. Limited evidence exists on the preferred order of discontinuation but should be informed by other comorbidities, such as coronary artery disease and chronic kidney disease. Given an LC diet’s diuretic effect, tapering and stopping diuretics may be an option. Other medications requiring closer monitoring include lithium (can be affected by fluid and electrolyte shifts), warfarin (may alter vitamin K intake), valproate (which may be reduced), and zonisamide and topiramate (kidney stone risk).

Remission of T2DM with LC Diets

As patients adopt LC diets and medications are deprescribed and glycemia improves, HbA1c and fasting glucose levels may drop below the diagnostic threshold for T2DM.20 As new evidence emerges surrounding the management of T2DM from a lifestyle perspective, major health care organizations have acknowledged that T2DM is not necessarily an incurable, progressive disease, but rather a disease that can be reversed or put in remission.35-37 In 2016, the World Health Organization (WHO) global report on diabetes acknowledged that T2DM reversal can be achieved via weight loss and calorie restriction.35

In 2021, a consensus statement from the ADA, the Endocrine Society, the EASD, and Diabetes UK defined T2DM remission as an HbA1c level < 6.5% for at least 3 months with no T2DM medications.36 Diabetes Australia also published a position statement in 2021 about T2DM remission.37 Like the WHO, Diabetes Australia acknowledged that remission of T2DM is possible following intensive dietary changes or bariatric surgery.37 Before the 2021 consensus statement, some experts argued that excluding metformin from the T2DM medication list may not be warranted since metformin has indications beyond T2DM. In this case, remission of T2DM could be defined as an HbA1c level < 6.5% for at least 3 months and on metformin or no T2DM medications.8  

 

 

Emerging Strategies

Emerging strategies, such as continuous glucose monitors (CGMs) and the use of intermittent fasting/time-restricted eating (TRE), can be used with the LC diet to help improve the monitoring and management of T2DM. In the recently published VA/DoD guidelines for T2DM, the work group suggested real-time CGMs for qualified patients with T2DM.4 These include patients on daily insulin who are not achieving glycemic control or to reduce the risk for hypoglycemia. CGMs have shown evidence of improved glycemic control and decreased hypoglycemia in those with T2DM.38,39 It is currently unknown if CGMs improve long-term glycemic control, but they appear promising for managing and reducing medications for those on an LC diet.40

TRE can be supplemented with an LC plan that incorporates “eating windows.” Common patterns include 14 hours of fasting and a 10-hour eating window (14F:10E), or 16 hours of fasting and an 8-hour eating window (16F:8E). By eating only in the specified window, patients generally reduce caloric intake and minimize insulin and glucose excursions during the fasting window. No changes need to be made to the macronutrient composition of the diet, and LC approaches can be used with TRE. The mechanism of action is likely multifactorial, targeting hyperinsulinemia and insulin resistance as well as producing a caloric deficit to enable weight loss.41 Eating windows may improve insulin sensitivity, reduce insulin resistance, and enhance overall glycemic control. The recent VA/DoD guidelines recommended against intermittent fasting due to concerns over the risk of hypoglycemia despite larger weight loss in TRE groups.4 Recently, a study using CGMs and TRE demonstrated both improved glycemic control and no hypoglycemic episodes in patients with T2DM on insulin.42 Patients who would like to supplement TRE with an LC plan as a strategy for improved glycemic control should work closely with their PACT to help manage their TRE and LC plan and consider a CGM adjunct, especially if on insulin.

Barriers

Managing T2DM often requires comprehensive lifestyle modifications of nutrition, exercise, sleep, stress management, and other psychosocial issues, as well as an interdisciplinary team-based approach.43 The advantage of working within the VA includes a uniform system within a network of care. However, many patients continue to use both federal and private health care. This use of out-of-network care may result in fragmented, potentially disjointed, or even contradictory dietary advice.

The VA PACT, whole health for holistic health, and weight loss interventions such as the MOVE! program provide lifestyle interventions like nutrition, physical activity, and behavior change. However, these well-intentioned approaches may provide alternative and even diverging recommendations, which place additional barriers to effective patient management. In patients who are advised and accept a trial of an LC plan, each member of the team should embrace the self-management decision of the patient and support the plan.29 Any conflicts, questions, or concerns should be communicated directly with the team in an interdisciplinary approach to provide a unified message and counsel.

The long-term effects and sustainability of an LC diet have been questioned in the literature.44-46 Recently, the use of an app-based coaching plan has demonstrated short- and long-term sustainability on an LC diet.47 In just 5 months in a large VA system, 590 patients using a virtual coaching platform and a VLCK diet plan were found to have lower HbA1c levels, reduced diabetic medication fills, lower body mass index, fewer outpatient visits, and lower prescription drug costs.

A 5-year follow-up found nearly 50% of participants sustained a VLCK diet for T2DM. For patients who participated in the study after 2 years, 72% sustained the VLCK diet in years 2 to 5. Most required nearly 50% fewer medications and in those that started with insulin, half did not require it at 5 years.48 Further research, however, is necessary to determine the long-term effects on cardiometabolic markers and health with LC diets. There are no long-term RCTs on outcomes data looking at T2DM morbidity or mortality. While there are prospective cohort studies on LC diets in the general population on mortality, they demonstrate mixed results. These studies may be confounded by heterogeneous definitions of LC diets, diet quality, and other health factors.49-51

Conclusions

The effective use of LC diets within a PACT with close and intensive lifestyle counseling and a safe approach to medication management and deprescribing can improve glycemic control, reduce the overall need for insulin, reduce medication use, and provide sustained weight loss. Additionally, the use of therapeutic carbohydrate reduction and subsequent medication deprescription may lead to sustained remission of T2DM. The current efficacy and sustainment of therapeutic carbohydrate reduction for patients with T2DM appears promising. Further research on LC diets, emerging strategies, and long-term effects on cardiometabolic risk factors, morbidity, and mortality will continue to inform future practice in our health care system.

Acknowledgments

We thank Cecile Seth who has been instrumental in pushing us forward and the Metabolic Multiplier group who has helped encourage and provide input into this article.

The prevalence of diabetes continues to increase despite advances in treatment options. In 2019, according to the Centers for Disease Control and Prevention (CDC), 37.1 million (14.7%) US adults had diabetes. Among adults aged ≥ 65 years, the prevalence is even higher at 29.2%.1 Research has also estimated that 45% of adults have evidence of prediabetes or diabetes.2 According to the Veterans Health Administration, almost 25% of enrolled veterans have diabetes.3

Background

Diabetes is associated with an increased risk of microvascular complications (eg, retinopathy, nephropathy, and neuropathy) and macrovascular complications (eg, atherosclerotic cardiovascular disease) and is one of the most common causes of morbidity and mortality in the US.4 In 2017, diabetes was estimated to cost $327 billion in the US, up from $261 billion in 2012.5 During this same period, the excess costs per person with diabetes increased from $8417 to $9601.5

Type 2 diabetes mellitus (T2DM) and its associated insulin resistance is typically considered a chronic disease with progressive loss of β-cell function. Controlling glycemia, delaying microvascular changes, and preventing macrovascular disease are major management goals. Lifestyle interventions are essential in the management and prevention of T2DM. Medication management for T2DM usually progresses through several medications, ending in insulin therapy.6 Within 10 years of diagnosis, almost half of all individuals with T2DM will require insulin to manage their glycemia.7

Bariatric surgery and nutrition approaches have been successful in reversing T2DM. Recently, there has been increased interest in nutritional approaches to place T2DM in remission, reverse the disease process, and improve insulin resistance. Contrary to popular belief, before the discovery of insulin in 1921, low-carbohydrate (LC) diets were the most common treatment for T2DM.8 With the discovery of insulin and the eventual development of low-fat dietary recommendations, LC diets were no longer favored by most clinicians.8 Low-fat diets are, by definition, also high-carbohydrate diets. By the early 1980s, low-fat diets had become the standard of care dietary recommendation, and the goal for clinicians became glycemic maintenance (with increased use of medications) rather than preventing hyperglycemia.8

With growing evidence regarding the use of LC diets for T2DM, the US Department of Veterans Affairs (VA) and US Department of Defense (DoD), the American Diabetes Association (ADA), the European Association for the Study of Diabetes (EASD), Diabetes Canada, and Diabetes Australia all include LC diets as a viable option for treating T2DM.4,9-12 This article will highlight a case using a reduced carbohydrate approach in lifestyle management and provide clinicians with practical guidance in its implementation. We will review the evidence that informs these guidelines, describe a practical approach to nutritional counseling, and review medication management and deprescribing approaches. Finally, barriers to implementation will be explored.

ILLUSTRATIVE CASE

A 64-year-old woman presented to the clinical pharmacist for the management of T2DM after her tenth hospitalization related to hyperglycemia in 10 years. She had previously been managed by primary care clinicians, clinical dietitians, endocrinologists, and certified diabetes care and education specialists. Pertinent history included diabetic ketoacidosis, coronary artery disease, hyperlipidemia, hypertension, obstructive sleep apnea, obesity, metabolic dysfunction-associated steatotic liver disease, and mild nonproliferative diabetic retinopathy with clinically significant macular edema. The patient expressed frustration with poor glycemic control during her many years of insulin therapy and an inability to lose weight due to insulin dose titrations. The patient reported prior education including but not limited to standardized sample menus, consistent carbohydrate intake, calorie reduction, general healthful nutrition, and the “move more, eat less” approach. The patient was unable to titrate insulin dosage and did not experience weight loss despite compliance with these methods.

Her medications included glargine insulin 45 units once daily, aspart insulin 5 units before meals 3 times daily, and metformin 1000 mg twice daily. Her hemoglobin A1c (HbA1c) level was 11.8%. A review of prior therapies for T2DM included glyburide 5 mg twice daily, metformin 1000 mg twice daily, 70/30 insulin (up to 340 units/d), glargine insulin (range, 10-140 units/d), regular insulin (range, 30-240 units/d), aspart insulin (range, 15-45 units/d), and U-500 regular insulin (range, 125-390 units/d). She took metoprolol 25 mg extended release daily and hydrochlorothiazide 25 mg daily, but both were discontinued after the most recent hospitalization. A review of HbA1c readings showed poor glycemic control for > 12 years (range, 10.3% to > 12.3%).

Education for lifestyle modifications, including an LC diet, was presented to the patient to assist with weight loss, improve glycemic control, and reduce insulin resistance. In addition, a glucagon-like peptide-1 agonist (liraglutide) was added to her pharmacotherapy. Continued dietary modifications with LC intake led to consistent reductions in glargine and aspart insulin therapy. The patient remained motivated throughout clinic visits due to improved glycemic control with sustainable dietary modifications, consistently reported feeling better overall, and deprescribed diabetes drug therapies. She remained off her blood pressure medications. After4 months of LC dietary modifications, all insulin therapy was discontinued. She continued with liraglutide 1.8 mg daily and metformin 1000 mg twice daily with an HbA1c of 6.3%. Two months later, her HbA1c level was 6.0%. She also lost 8 lb and her body mass index improved from 31 to 29.

 

 

Low-Carbohydrate T2DM DIET MANAGEMENT

LC diets are commonly defined as < 130 g of carbohydrates per day.13 Very LC ketogenic (VLCK) diets often contain ≤ 50 g of carbohydrates per day to induce nutritional ketosis.13 One of the first randomized controlled trials (RCTs) that compared a VLCK diet (< 30 g of carbohydrates per day) with a low-fat diet for obesity demonstrated greater weight loss at 6 months with the LC diet. In addition, patients with diabetes randomized to the LC group also showed improved insulin sensitivity. Notably, this study was done in a population of veterans enrolled at the VA Philadelphia Health Care System.14

A 2008 study comparing an LC diet with a calorie-restricted, low-glycemic diet for individuals with T2DM found that the LC diet group experienced a greater reduction in HbA1c and insulin levels and weight.15 Comparing these 2 diet groups after 24 weeks, 95% of individuals in the LC group reduced or discontinued T2DM medications vs 62% in the low-glycemic group.15 Another study of individuals with T2DM compared a VLCK diet with a low-fat diet. After 34 weeks, 55% of individuals in the LC diet group achieved an HbA1c level below the threshold for diabetes vs 0% in the low-fat diet group.16 A 2018 study of patients with T2DM investigated the impact of a very LC diet compared with the standard of care.17 After 1 year, the LC diet group experienced a mean HbA1c reduction of 1.3%, and 60% of individuals who completed the study achieved an HbA1c level < 6.5% without T2DM medications (not including metformin). This study also demonstrated that medications were significantly reduced, including 100% discontinuation of sulfonylureas and 94% reduction or elimination of insulin.

A recent study of an LC diet (< 20% energy from carbohydrates) demonstrated reduced HbA1c levels, weight, and waist circumference vs a control diet after 6 months. The control diet derived 50% to 60% of energy from carbohydrates.18 This study is typical of other LC interventions, which did not calorie restrict and instead allowed ad libitum intake.14,15

table 1

With mounting evidence, the VA/DoD guidelines on T2DM management included LC diets as dietary options for treating T2DM. The ADA also determined that LC diets had the most evidence in improving glycemia and included LC diets as an option for medical nutrition therapy (Table 1).10,19

A systematic review and meta-analysis looking at RCTs of LC diets found evidence for remission of T2DM without significant adverse effects (AEs).20 Another recent systematic review and network meta-analysis of 42 RCTs found that the ketogenic diet was superior for a reduction in HbA1c levels compared with 9 other dietary patterns, including low-fat, Mediterranean, and vegetarian/vegan diets. Overall, ketogenic, Mediterranean, moderate-carbohydrate, and low-glycemic index diets demonstrated improved glycemic control.21

Ideally, a comprehensive behavioral program, such as the VA Move! or Whole Health program, should incorporate patient aligned care teams (PACTs), behavioral health clinicians, clinical pharmacists, and dietitians to provide medical-nutrition therapy using LC diets. However, many facilities may not have adequate experience, expertise, or support. We provide practical approaches to provide LC nutrition counseling, medication management, and deprescribing for any primary care clinician applying LC diets for their patients. For simplicity and practicality, we define 3 types of LC dietary patterns: (1) VLCK (< 50 g); (2) LC (50-100 g); and (3) moderate LC (101-150 g).

Nutrition

table 2

All nutrition approaches, including LC diets, should be patient centered, individualized, and sensitive to the patient's culture. Typically, many patients have previously been instructed to consume low-fat (and subsequently) high-carbohydrate (> 150 g) meals. Most well-meaning clinicians have provided common-approach diet education from mainstream health organizations in the form of standardized handouts. For example, the Carbohydrate Counting for People with Diabetes patient education handout from the Academy of Nutrition and Dietetics provides a sample menu with 3 meals and 1 snack totaling 195 g of carbohydrates.22 In contrast, an example ADA diet has sample diets with 3 meals and 2 snacks with approximately 20 to 70 g of carbohydrates.23 In the VA, there are excellent resources to review and standardize handouts that emphasize an LC nutrition approach to T2DM, including ketogenic versions.24,25 Table 2 shows example meal plans based on different LC patterns—VLCK, LC, and moderate LC.

 

 

Starting an LC dietary pattern should maximize nutrient-dense and minimally processed proteins. Clinicians should begin with a baseline nutritional assessment through a 24-hour recall or food diary. After this has been completed, the patient’s baseline diet is assessed, and a gradual carbohydrate reduction plan is discussed. Generally, carbohydrate reduction is recommended at 1 meal per day per week. High-carbohydrate meals and snacks are restructured to favor satiating, minimally processed, high-protein food sources. Individual food preferences are considered and included in the recommended LC plan. For example, LC diets can be formulated for vegetarians and vegans as well as those who prefer meat and seafood. Prioritizing satiating and nutrient-dense foods can help increase the probability of diet acceptance and adherence.

A recent studyshowed that restricting carbohydrates at breakfast reduces 24-hour postprandial hyperglycemia and improves glycemic variability.26 Many patients consume upward of 50 g of carbohydrates at breakfast.27 For example, it is not uncommon for a patient to consume cereal with milk or oatmeal, orange juice, a banana, and toast at breakfast. Instead, the patient is advised to consume any combination of eggs, meat, no-sugar-added Greek yogurt, or berries.

To keep things simple for lunch and dinner, the patient is offered high-quality, minimally processed protein of their choosing with any nonstarchy vegetable. Should a patient desire additional carbohydrates with meals, they may reduce the baseline serving of carbohydrates by 50%. For example, if a patient normally fills 50% of their plate with spaghetti, they may reduce the pasta portion to 25% and add a meatball or increase the amount of vegetables consumed with the meal to satiety.

Snacks may include cheese, eggs, peanut butter, nuts, seeds, berries, no-sugar-added Greek yogurt, or guacamole. Oftentimes, when LC meals are adopted, the desire or need for snacking is diminished due to the satiating effect of high-quality protein sources and nonstarchy vegetables.

Adverse Effects

AEs have been reported with VLCK diets, including headache, diarrhea, constipation, muscle cramps, halitosis, light-headedness, and muscle weakness.28 These AEs may be mitigated with increased fluid intake, sodium intake, and magnesium supplementation.29 Increasing fluids to a minimum of 2 L/d and adding sodium (eg, bouillon supplementation) can minimize AEs.30 Milk of magnesia (5 mL) or slow-release magnesium chloride 200 mEq/d is suggested to reduce muscle cramps.30 There have been no studies looking at sodium intake and worsening hypertension or chronic heart failure in the setting of an LC diet, but fluid and electrolyte intake should be monitored closely, especially in patients with uncontrolled hypertension and heart failure. Other concerns of higher protein on worsening kidney function have generally not been founded.31 In some individuals, an LC and higher fat diet may increase low-density lipoprotein cholesterol (LDL-C).32 Therefore a baseline lipid panel is recommended and should be monitored along with HbA1c levels. An elevated LDL-C response may be managed by increasing protein and reducing saturated fat intake while maintaining the reduced carbohydrate content of the diet.

Medication Management

table 3

The adoption of an LC diet can cause a swift and profound reduction in blood sugar.33 Utilizing PACTs can help prevent adverse drug events by involving clinical pharmacists to provide recommendations and dose reductions as patients adopt an LC diet. Each approach must be individualized to the patient and can depend on several factors, including the number and strength of medications, the degree of carbohydrate reduction, baseline blood glucose, as well as assessing for medical literacy and ability to implement recommendations. Additionally, patients should monitor their blood sugar regularly and communicate with their primary care team (pharmacist, PACT registered nurse, primary care clinician, and registered dietician). Ultimately, the goal when adopting an LC diet while taking antihyperglycemics is safely avoiding hypoglycemia while reducing the number of medications the patient is taking. We summarize a practical approach to medication management that was recently published (Table 3).33,34

 

 

Medications to Reduce or Discontinue

table 4

Medications that can cause hypoglycemia should be the first to be reduced or discontinued upon starting an LC diet, including bolus insulin (although a small amount may be needed to correct for high blood sugar), sulfonylureas, and meglitinides. Combination insulin should be stopped and changed to basal insulin to avoid the risk of hypoglycemia (see Table 4 for insulin deprescribing recommendations). The mechanism of action in preventing the breakdown of carbohydrates in the gastrointestinal tract makes the use of α-glucosidase inhibitors superfluous, and they can be discontinued, reducing pill burden and polypharmacy risks. Sodium-glucose transport protein 2 inhibitors (SGLT2i) should be discontinued for patients on VLCK diets due to the risk of euglycemic diabetic ketoacidosis. However, with LC and moderate LC plans, the SGLT2i may be used with caution as long as patients are made aware of ketoacidosis symptoms. To help prevent the risk of hypoglycemia, basal/long-acting insulin can be continued, but at a 50% reduced dose. Patients should closely monitor blood sugar to assess for appropriateness of dose reductions. While thiazolidinediones are not contraindicated, clinicians can consider discontinuation given both their penchant for inducing weight gain and their limited outcomes data.

Medications to Continue

Medications that pose minimal risk for hypoglycemia can be continued, including metformin, dipeptidyl peptidase 4 inhibitors, and glucagon-like peptide-1 agonists. However, even though these may pose a low risk of hypoglycemia, patients should still closely monitor their blood glucose so medications can be deprescribed as soon as safely and reasonably possible.

Other Medications

The improvement in metabolic health with the reduction of carbohydrates can render other classes of medications unnecessary or require adjustment. Patients should be counseled to monitor their blood pressure as significant and rapid improvements can occur. In the event of a systolic blood pressure of 100 to 110 mm Hg or signs of hypotension, down titration or discontinuation of antihypertensives should be initiated. Limited evidence exists on the preferred order of discontinuation but should be informed by other comorbidities, such as coronary artery disease and chronic kidney disease. Given an LC diet’s diuretic effect, tapering and stopping diuretics may be an option. Other medications requiring closer monitoring include lithium (can be affected by fluid and electrolyte shifts), warfarin (may alter vitamin K intake), valproate (which may be reduced), and zonisamide and topiramate (kidney stone risk).

Remission of T2DM with LC Diets

As patients adopt LC diets and medications are deprescribed and glycemia improves, HbA1c and fasting glucose levels may drop below the diagnostic threshold for T2DM.20 As new evidence emerges surrounding the management of T2DM from a lifestyle perspective, major health care organizations have acknowledged that T2DM is not necessarily an incurable, progressive disease, but rather a disease that can be reversed or put in remission.35-37 In 2016, the World Health Organization (WHO) global report on diabetes acknowledged that T2DM reversal can be achieved via weight loss and calorie restriction.35

In 2021, a consensus statement from the ADA, the Endocrine Society, the EASD, and Diabetes UK defined T2DM remission as an HbA1c level < 6.5% for at least 3 months with no T2DM medications.36 Diabetes Australia also published a position statement in 2021 about T2DM remission.37 Like the WHO, Diabetes Australia acknowledged that remission of T2DM is possible following intensive dietary changes or bariatric surgery.37 Before the 2021 consensus statement, some experts argued that excluding metformin from the T2DM medication list may not be warranted since metformin has indications beyond T2DM. In this case, remission of T2DM could be defined as an HbA1c level < 6.5% for at least 3 months and on metformin or no T2DM medications.8  

 

 

Emerging Strategies

Emerging strategies, such as continuous glucose monitors (CGMs) and the use of intermittent fasting/time-restricted eating (TRE), can be used with the LC diet to help improve the monitoring and management of T2DM. In the recently published VA/DoD guidelines for T2DM, the work group suggested real-time CGMs for qualified patients with T2DM.4 These include patients on daily insulin who are not achieving glycemic control or to reduce the risk for hypoglycemia. CGMs have shown evidence of improved glycemic control and decreased hypoglycemia in those with T2DM.38,39 It is currently unknown if CGMs improve long-term glycemic control, but they appear promising for managing and reducing medications for those on an LC diet.40

TRE can be supplemented with an LC plan that incorporates “eating windows.” Common patterns include 14 hours of fasting and a 10-hour eating window (14F:10E), or 16 hours of fasting and an 8-hour eating window (16F:8E). By eating only in the specified window, patients generally reduce caloric intake and minimize insulin and glucose excursions during the fasting window. No changes need to be made to the macronutrient composition of the diet, and LC approaches can be used with TRE. The mechanism of action is likely multifactorial, targeting hyperinsulinemia and insulin resistance as well as producing a caloric deficit to enable weight loss.41 Eating windows may improve insulin sensitivity, reduce insulin resistance, and enhance overall glycemic control. The recent VA/DoD guidelines recommended against intermittent fasting due to concerns over the risk of hypoglycemia despite larger weight loss in TRE groups.4 Recently, a study using CGMs and TRE demonstrated both improved glycemic control and no hypoglycemic episodes in patients with T2DM on insulin.42 Patients who would like to supplement TRE with an LC plan as a strategy for improved glycemic control should work closely with their PACT to help manage their TRE and LC plan and consider a CGM adjunct, especially if on insulin.

Barriers

Managing T2DM often requires comprehensive lifestyle modifications of nutrition, exercise, sleep, stress management, and other psychosocial issues, as well as an interdisciplinary team-based approach.43 The advantage of working within the VA includes a uniform system within a network of care. However, many patients continue to use both federal and private health care. This use of out-of-network care may result in fragmented, potentially disjointed, or even contradictory dietary advice.

The VA PACT, whole health for holistic health, and weight loss interventions such as the MOVE! program provide lifestyle interventions like nutrition, physical activity, and behavior change. However, these well-intentioned approaches may provide alternative and even diverging recommendations, which place additional barriers to effective patient management. In patients who are advised and accept a trial of an LC plan, each member of the team should embrace the self-management decision of the patient and support the plan.29 Any conflicts, questions, or concerns should be communicated directly with the team in an interdisciplinary approach to provide a unified message and counsel.

The long-term effects and sustainability of an LC diet have been questioned in the literature.44-46 Recently, the use of an app-based coaching plan has demonstrated short- and long-term sustainability on an LC diet.47 In just 5 months in a large VA system, 590 patients using a virtual coaching platform and a VLCK diet plan were found to have lower HbA1c levels, reduced diabetic medication fills, lower body mass index, fewer outpatient visits, and lower prescription drug costs.

A 5-year follow-up found nearly 50% of participants sustained a VLCK diet for T2DM. For patients who participated in the study after 2 years, 72% sustained the VLCK diet in years 2 to 5. Most required nearly 50% fewer medications and in those that started with insulin, half did not require it at 5 years.48 Further research, however, is necessary to determine the long-term effects on cardiometabolic markers and health with LC diets. There are no long-term RCTs on outcomes data looking at T2DM morbidity or mortality. While there are prospective cohort studies on LC diets in the general population on mortality, they demonstrate mixed results. These studies may be confounded by heterogeneous definitions of LC diets, diet quality, and other health factors.49-51

Conclusions

The effective use of LC diets within a PACT with close and intensive lifestyle counseling and a safe approach to medication management and deprescribing can improve glycemic control, reduce the overall need for insulin, reduce medication use, and provide sustained weight loss. Additionally, the use of therapeutic carbohydrate reduction and subsequent medication deprescription may lead to sustained remission of T2DM. The current efficacy and sustainment of therapeutic carbohydrate reduction for patients with T2DM appears promising. Further research on LC diets, emerging strategies, and long-term effects on cardiometabolic risk factors, morbidity, and mortality will continue to inform future practice in our health care system.

Acknowledgments

We thank Cecile Seth who has been instrumental in pushing us forward and the Metabolic Multiplier group who has helped encourage and provide input into this article.

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46. Jayedi A, Zeraattalab-Motlagh S, Jabbarzadeh B, et al. Dose-dependent effect of carbohydrate restriction for type 2 diabetes management: a systematic review and dose-response meta-analysis of randomized controlled trials. Am J Clin Nutr. 2022;116(1). doi:10.1093/AJCN/NQAC066

47. Strombotne KL, Lum J, Ndugga NJ, et al. Effectiveness of a ketogenic diet and virtual coaching intervention for patients with diabetes: a difference-in-differences analysis. Diabetes Obes Metab. 2021;23(12):2643-2650. doi:10.1111/DOM.14515

48. Virta Health. Virta Health highlights lasting, transformative health improvements in 5-year diabetes reversal study. June 5, 2022. Accessed October 6, 2023. https://www.virtahealth.com/blog/virta-sustainable-health-improvements-5-year-diabetes-reversal-study

49. Wan Z, Shan Z, Geng T, et al. Associations of moderate low-carbohydrate diets with mortality among patients with type 2 diabetes: a prospective cohort study. J Clin Endocrinol Metab. 2022;107(7):E2702-E2709. doi:10.1210/CLINEM/DGAC235

50. Akter S, Mizoue T, Nanri A, et al. Low carbohydrate diet and all cause and cause-specific mortality. Clin Nutr. 2021;40(4):2016-2024. doi:10.1016/J.CLNU.2020.09.022

51. Shan Z, Guo Y, Hu FB, Liu L, Qi Q. Association of low-carbohydrate and low-fat diets with mortality among US adults. JAMA Intern Med. 2020;180(4):513-523. doi:10.1001/JAMAINTERNMED.2019.6980

References

1. Centers for Disease Control and Prevention. Prevalence of Both Diagnosed and Undiagnosed Diabetes. Updated September 30, 2022. Accessed October 6, 2023. https://www.cdc.gov/diabetes/data/statistics-report/diagnosed-undiagnosed-diabetes.html

2. Centers for Disease Control and Prevention. Diabetes and Prediabetes. Updated September 6, 2022. Accessed October 6, 2023. https://www.cdc.gov/chronicdisease/resources/publications/factsheets/diabetes-prediabetes.htm 3. US Department of Veterans Affairs. Diabetes information - Nutrition and food services. Updated May 4, 2023. Accessed October 6, 2023. https://www.nutrition.va.gov/diabetes.asp

4. US Department of Veterans Affairs. Management of Type 2 Diabetes Mellitus (2023) - VA/DoD Clinical Practice Guidelines. Updated September 1, 2023. Accessed October 6, 2023. https://www.healthquality.va.gov/guidelines/CD/diabetes/

5. American Diabetes Association. Economic Costs of Diabetes in the U.S. in 2017. Diabetes Care. 2018;41(5):917-928. doi:10.2337/dci18-0007

6. Home P, Riddle M, Cefalu WT, et al. Insulin therapy in people with type 2 diabetes: opportunities and challenges?. Diabetes Care. 2014;37(6):1499-1508. doi:10.2337/dc13-2743

7. Donath MY, Ehses JA, Maedler K, et al. Mechanisms of β-cell death in type 2 diabetes. Diabetes. 2005;54(suppl 2):S108-S113. doi:10.2337/DIABETES.54.SUPPL_2.S108

8. Hallberg SJ, Gershuni VM, Hazbun TL, Athinarayanan SJ. Reversing type 2 diabetes: a narrative review of the evidence. Nutrients. 2019;11(4):766. Published 2019 Apr 1. doi:10.3390/nu11040766

9. Davies MJ, D’Alessio DA, Fradkin J, et al. Management of Hyperglycemia in Type 2 Diabetes, 2018. A Consensus Report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2018;41(12):2669. doi:10.2337/DCI18-0033

10. Evert AB, Dennison M, Gardner CD, et al. Nutrition therapy for adults with diabetes or prediabetes: a consensus report. Diabetes Care. 2019;42(5):731-754. doi:10.2337/DCI19-0014

11. Diabetes Canada position statement on low-carbohydrate diets for adults with diabetes: a rapid review. Can J Diabetes. 2020;44(4):295-299. doi:10.1016/J.JCJD.2020.04.001

12. Diabetes Australia. Position statements. Accessed October 6, 2023. https://www.diabetesaustralia.com.au/research-advocacy/position-statements/

13. Feinman RD, Pogozelski WK, Astrup A, et al. Dietary carbohydrate restriction as the first approach in diabetes management: critical review and evidence base. Nutrition. 2014;31(1):1-13. doi:10.1016/j.nut.2014.06.011

14. Samaha FF, Iqbal N, Seshadri P, et al. A low-carbohydrate as compared with a low-fat diet in severe obesity. N Engl J Med. 2003;348(21):2074-2081. doi:10.1056/NEJMOA02263715. Westman EC, Yancy WS, Mavropoulos JC, Marquart M, McDuffie JR. The effect of a low-carbohydrate, ketogenic diet versus a low-glycemic index diet on glycemic control in type 2 diabetes mellitus. Nutr Metab (Lond). 2008;5(1):36. doi:10.1186/1743-7075-5-36

16. Saslow LR, Mason AE, Kim S, et al. An online intervention comparing a very low-carbohydrate ketogenic diet and lifestyle recommendations versus a plate method diet in overweight individuals with type 2 diabetes: a randomized controlled trial. J Med Internet Res. 2017;19(2). doi:10.2196/JMIR.5806

17. Hallberg SJ, McKenzie AL, Williams PT, et al. Effectiveness and safety of a novel care model for the management of type 2 diabetes at 1 year: an open-label, non-randomized, controlled study. Diabetes Ther. 2018;9(2):583-612. doi:10.1007/S13300-018-0373-9

18. Gram-Kampmann EM, Hansen CD, Hugger MB, et al. Effects of a 6-month, low-carbohydrate diet on glycaemic control, body composition, and cardiovascular risk factors in patients with type 2 diabetes: An open-label randomized controlled trial. Diabetes Obes Metab. 2022;24(4):693-703. doi:10.1111/DOM.14633

19. Committee ADAPP. 5. Facilitating behavior change and well-being to improve health outcomes: standards of medical care in diabetes—2022. Diabetes Care. 2022;45(suppl 1):S60-S82. doi:10.2337/DC22-S005

20. Goldenberg JZ, Johnston BC. Low and very low carbohydrate diets for diabetes remission. BMJ. 2021;373:m4743. doi:10.1136/BMJ.N262

<--pagebreak-->

21. Jing T, Zhang S, Bai M, et al. Effect of dietary approaches on glycemic control in patients with type 2 diabetes: a systematic review with network meta-analysis of randomized trials. Nutrients. 2023;15(14):3156. doi:10.3390/nu15143156

22. Academy of Nutrition and Dietetics. Nutrition care manual. Accessed October 6, 2023. https://www.nutritioncaremanual.org/

23. Low carbohydrate and very low carbohydrate eating patterns in adults with diabetes. ShopDiabetes.org. Accessed August 5, 2022. https://shopdiabetes.org/products/low-carbohydrate-and-very-low-carbohydrate-eating-patterns-in-adults-with-diabetes-a-guide-for-health-care-providers

24. US Department of Veterans Affairs. Diabetes education - nutrition and food services. Published July 31, 2022. http://vaww.nutrition.va.gov/docs/pted/ModifiedKetogenicDiet.pdf [Source not verified]

25. US Department of Veterans Affairs, My HealtheVet. Lowdown on low-carb diets. Updated June 1, 2021. Accessed October 6, 2023. https://www.myhealth.va.gov/mhv-portal-web/ss20190724-low-carb-diet

26. Chang CR, Francois ME, Little JP. Restricting carbohydrates at breakfast is sufficient to reduce 24-hour exposure to postprandial hyperglycemia and improve glycemic variability. Am J Clin Nutr. 2019;109(5):1302-1309. doi:10.1093/AJCN/NQY261

27. Hall KD, Ayuketah A, Brychta R, et al. Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell Metab. 2019;30(1):226. doi:10.1016/j.cmet.2019.05.020

28. Harvey CJ d. C, Schofield GM, Zinn C, Thornley S. Effects of differing levels of carbohydrate restriction on mood achievement of nutritional ketosis, and symptoms of carbohydrate withdrawal in healthy adults: a randomized clinical trial. Nutrition. 2019;67-68:100005. doi:10.1016/J.NUTX.2019.100005

29. Griauzde DH, Standafer Lopez K, Saslow LR, Richardson CR. A pragmatic approach to translating low- and very low-carbohydrate diets into clinical practice for patients with obesity and type 2 diabetes. Front Nutr. 2021;8:416. doi:10.3389/FNUT.2021.682137/BIBTEX

30. Westman EC, Tondt J, Maguire E, Yancy WS. Implementing a low-carbohydrate, ketogenic diet to manage type 2 diabetes mellitus. Expert Rev Endocrinol Metab. 2018;13(5):263-272. doi:10.1080/17446651.2018.1523713

31. Suyoto PST. Effect of low-carbohydrate diet on markers of renal function in patients with type 2 diabetes: a meta-analysis. Diabetes Metab Res Rev. 2018;34(7). doi:10.1002/DMRR.3032

32. Norwitz NG, Feldman D, Soto-Mota A, Kalayjian T, Ludwig DS. Elevated LDL cholesterol with a carbohydrate-restricted diet: evidence for a “lean mass hyper-responder” phenotype. Curr Dev Nutr. 2021;6(1). doi:10.1093/CDN/NZAB144

33. Murdoch C, Unwin D, Cavan D, Cucuzzella M, Patel M. Adapting diabetes medication for low carbohydrate management of type 2 diabetes: a practical guide. Br J Gen Pract. 2019;69(684):360-361. doi:10.3399/bjgp19X704525

34. Cucuzzella M, Riley K, Isaacs D. Adapting medication for type 2 diabetes to a low carbohydrate diet. Front Nutr. 2021;8:486. doi:10.3389/FNUT.2021.688540/BIBTEX

35. World Health Organization. Global report on diabetes. 2016. Accessed October 6, 2023. https://iris.who.int/bitstream/handle/10665/204871/9789241565257_eng.pdf?sequence=1

36. Riddle MC, Cefalu WT, Evans PH, et al. Consensus report: definition and interpretation of remission in type 2 diabetes. Diabetes Care. 2021;44(10):2438-2444. doi:10.2337/DCI21-0034

37. Diabetes Australia. Type 2 Diabetes remission position statement. 2021. Accessed October 6, 2023. https://www.diabetesaustralia.com.au/wp-content/uploads/2021_Diabetes-Australia-Position-Statement_Type-2-diabetes-remission_2.pdf

38. Martens T, Beck RW, Bailey R, et al. Effect of continuous glucose monitoring on glycemic control in patients with type 2 diabetes treated with basal insulin: a randomized clinical trial. JAMA. 2021;325(22):2262-2272. doi:10.1001/JAMA.2021.7444

39. Jackson MA, Ahmann A, Shah VN. Type 2 diabetes and the use of real-time continuous glucose monitoring. Diabetes Technol Ther. 2021;23(S1):S27-S34. doi:10.1089/DIA.2021.0007

40. Oser TK, Cucuzzella M, Stasinopoulos M, Moncrief M, McCall A, Cox DJ. An innovative, paradigm-shifting lifestyle intervention to reduce glucose excursions with the use of continuous glucose monitoring to educate, motivate, and activate adults with newly diagnosed type 2 diabetes: pilot feasibility study. JMIR Diabetes. 2022;7(1). doi:10.2196/34465

41. Światkiewicz I, Woźniak A, Taub PR. Time-restricted eating and metabolic syndrome: current status and future perspectives. Nutrients. 2021;13(1):221. doi:10.3390/NU13010221

42. Obermayer A, Tripolt NJ, Pferschy PN, et al. Efficacy and safety of intermittent fasting in people with insulin-treated type 2 diabetes (INTERFAST-2)—a randomized controlled trial. Diabetes Care. 2023;46(2):463-468. doi:10.2337/dc22-1622

43. American Diabetes Association. 5. Lifestyle management: standards of medical care in diabetes—2019. Diabetes Care. 2019;42(suppl 1):S46-S60. doi:10.2337/DC19-S005

44. Li S, Ding L, Xiao X. Comparing the efficacy and safety of low-carbohydrate diets with low-fat diets for type 2 diabetes mellitus patients: a systematic review and meta-analysis of randomized clinical trials. Int J Endocrinol. 2021;2021:8521756. Published 2021 Dec 6. doi:10.1155/2021/8521756

45. Choi JH, Kang JH, Chon S. Comprehensive understanding for application in Korean patients with type 2 diabetes mellitus of the consensus statement on carbohydrate-restricted diets by Korean Diabetes Association, Korean Society for the Study of Obesity, and Korean Society of Hypertension. Diabetes Metab J. 2022;46(3):377. doi:10.4093/DMJ.2022.0051

46. Jayedi A, Zeraattalab-Motlagh S, Jabbarzadeh B, et al. Dose-dependent effect of carbohydrate restriction for type 2 diabetes management: a systematic review and dose-response meta-analysis of randomized controlled trials. Am J Clin Nutr. 2022;116(1). doi:10.1093/AJCN/NQAC066

47. Strombotne KL, Lum J, Ndugga NJ, et al. Effectiveness of a ketogenic diet and virtual coaching intervention for patients with diabetes: a difference-in-differences analysis. Diabetes Obes Metab. 2021;23(12):2643-2650. doi:10.1111/DOM.14515

48. Virta Health. Virta Health highlights lasting, transformative health improvements in 5-year diabetes reversal study. June 5, 2022. Accessed October 6, 2023. https://www.virtahealth.com/blog/virta-sustainable-health-improvements-5-year-diabetes-reversal-study

49. Wan Z, Shan Z, Geng T, et al. Associations of moderate low-carbohydrate diets with mortality among patients with type 2 diabetes: a prospective cohort study. J Clin Endocrinol Metab. 2022;107(7):E2702-E2709. doi:10.1210/CLINEM/DGAC235

50. Akter S, Mizoue T, Nanri A, et al. Low carbohydrate diet and all cause and cause-specific mortality. Clin Nutr. 2021;40(4):2016-2024. doi:10.1016/J.CLNU.2020.09.022

51. Shan Z, Guo Y, Hu FB, Liu L, Qi Q. Association of low-carbohydrate and low-fat diets with mortality among US adults. JAMA Intern Med. 2020;180(4):513-523. doi:10.1001/JAMAINTERNMED.2019.6980

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Chronicling Health Care Transformation: Federal Practitioner Looks Back 40 Years

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When VA Practitioner published its first issue in January 1984, federal health care was at the cusp of a dramatic transformation. VA Practitioner stepped in to serve “as a forum, as a bulletin, as an easy means of communication with colleagues who share your unique concerns,” founding editor James McCloskey noted in the first issue.

The need for this forum was most acute at the US Department of Veterans Affairs (VA). The agency of about 200,000 employees was decentralizing its management, developing the first electronic health record system, and caring for an aging population of World War II and Vietnam War era veterans with high comorbidity burdens. In the 1980s, the VA was at a nadir and under increasing pressure to change. At that moment of challenge, VA Practitioner offered columns suggesting a way forward and focused on clinical improvements with articles like, “The ghosts of budgets past,” “Psychoenvironment: a therapeutic redesign plan,” and “The VA’s geriatric goals.” Within a few years, the journal had enlisted an editorial advisory board to help guide the journal and provide the first peer review process for articles.

Peer Review and Expanded Focus

Ten years later, tremendous changes were underway for both VA Practitioner and the VA. Ken Kizer, MD, MPH, was named Under Secretary of Health in 1994 and almost immediately started the massive process of reforming and reorganizing the VA’s health care arm: Veterans Health Administration (VHA). The VHA would expand from 2.7 million enrolled veteran patients in 1993 to 8.9 million in 2014. In the process, the VA transformed from an oft derided institution to a major source of research and care that hosted most US physician residents while delivering the “best care anywhere.”

In 1994, VA Practitioner changed its name, becoming Federal Practitioner with an expanded mandate to address the needs of US Department of Defense (DoD) and US Public Health Service (PHS) clinicians working at the Indian Health Service (IHS), Bureau of Prisons, and US Coast Guard. In addition, the journal instituted a double-blind peer review process. Health care reform was clearly on the agenda for the new journal.

A new vision for VHA sought to redistribute resources, decentralize decision making, and make care more patient centered. The VHA began development of the Computerized Patient Record System (CPRS), which was fully implemented by 1999 as one of the earliest electronic health record systems and shared it with the IHS.

The DoD, on the other hand, was in a long-term period of reduction and consolidation. The active-duty service member population dropped from 2.1 million to 1.6 million between 1984 and 1994 and would continue to drop to 1.4 million in 2001, even with the onset of the first Gulf War. The DoD rolled out the Civilian Health and Medical Program of the United States (CHAMPUS), which would later become TRICARE, that reshaped the way the DoD delivered health care for active-duty service members, their families, and retirees.

From the outset, Federal Practitioner sought to play a role in those transformations. For PHS officers stationed across the Centers for Disease Control and Prevention, US Food and Drug Administration, IHS, and Bureau of Prisons, the journal provided a new way to share findings and best practices. With a growing group of dedicated peer reviewers, Federal Practitioner articles became more clinical and more patient centered. Frequent columns gave way to clinical reviews, continuing medical education, and best practice articles.

 

 

Addressing Post-9/11 Veteran Needs

All of these changes were well under way on the eve of September 11, 2001. After years of reductions, the size of the military stabilized, but the demographics were shifting in important ways. Women made up a larger proportion of the active-duty population, growing from 5% in 1975 to 10% in 1985 and 14% in 2005. The military was also becoming more diverse, with a growing number of service members indicating Hispanic, Asian, Pacific Islander, and other identities. More importantly, a new set of health care concerns emerged to challenge DoD and VHA clinicians. A growing number of service members and veterans of the Gulf Wars were seeking care for respiratory diseases, cancers, blast injuries, and prosthetics.

Federal Practitioner articles primarily focused on quality improvement but increasingly the journal published original research and case studies. Columns like Common Errors in Internal Medicine and Advances in Geriatrics focused on quality improvement and innovative therapies, respectively. To supplement its 12 regular issues, in 2011 Federal Practitioner began publishing special issues to provide even more depth of coverage in specific disease states, including hematology/oncology (in cooperation with the Association of VA Hematology/Oncology), mental health, neurology, infectious diseases, diabetes, among other topics.

The Last 10 Years and the Next 40

In 2013, the DoD formally reorganized its health care operations under the Defense Health Agency, starting an entirely new process that would dramatically reshape health care delivery for 8 million beneficiaries and 140,000 employees. This started a long process of consolidating separate systems and priorities for each branch into a single approach. Meanwhile, controversies around long wait times for VHA appointments (and veterans who died while waiting) put it under intense scrutiny. Legislation to privatize some or all of health care for veterans were discussed and considered, which finally resulted in the creation of the Veterans Choice Program, which greatly expanded the use of private health care services for covered conditions.

In 2018, Federal Practitioner was accepted by the national Library of Medicine’s PubMed Central, ensuring the widest possible access to journal articles. The journal saw a steady growth in submissions and published a combined 21 regular and special issues that year driven by increased submissions and more original research studies.

More and more through the work of its authors, Federal Practitioner has been in the middle of critical and ongoing federal health care concerns. Federal Practitioner authors have turned to the journal to address issues ranging from the deprescribing of opioid medications to measures taken to decrease the incidence of veteran suicide and the challenges presented by artificial intelligence and telehealth delivery. Whether it was the federal responses to Ebola outbreaks in Africa or the myriad ways that the PHS and VA responded to the COVID-19 pandemic in the US, Federal Practitioner has been at the center of federal health care.

Further reading

eappendix

To learn more about the past 40 years of federal health care visit mdedge.com/fedprac or doi:10.12788/fp.0453.

Article PDF
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Federal Practitioner - 41(1)
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Article PDF
Article PDF

When VA Practitioner published its first issue in January 1984, federal health care was at the cusp of a dramatic transformation. VA Practitioner stepped in to serve “as a forum, as a bulletin, as an easy means of communication with colleagues who share your unique concerns,” founding editor James McCloskey noted in the first issue.

The need for this forum was most acute at the US Department of Veterans Affairs (VA). The agency of about 200,000 employees was decentralizing its management, developing the first electronic health record system, and caring for an aging population of World War II and Vietnam War era veterans with high comorbidity burdens. In the 1980s, the VA was at a nadir and under increasing pressure to change. At that moment of challenge, VA Practitioner offered columns suggesting a way forward and focused on clinical improvements with articles like, “The ghosts of budgets past,” “Psychoenvironment: a therapeutic redesign plan,” and “The VA’s geriatric goals.” Within a few years, the journal had enlisted an editorial advisory board to help guide the journal and provide the first peer review process for articles.

Peer Review and Expanded Focus

Ten years later, tremendous changes were underway for both VA Practitioner and the VA. Ken Kizer, MD, MPH, was named Under Secretary of Health in 1994 and almost immediately started the massive process of reforming and reorganizing the VA’s health care arm: Veterans Health Administration (VHA). The VHA would expand from 2.7 million enrolled veteran patients in 1993 to 8.9 million in 2014. In the process, the VA transformed from an oft derided institution to a major source of research and care that hosted most US physician residents while delivering the “best care anywhere.”

In 1994, VA Practitioner changed its name, becoming Federal Practitioner with an expanded mandate to address the needs of US Department of Defense (DoD) and US Public Health Service (PHS) clinicians working at the Indian Health Service (IHS), Bureau of Prisons, and US Coast Guard. In addition, the journal instituted a double-blind peer review process. Health care reform was clearly on the agenda for the new journal.

A new vision for VHA sought to redistribute resources, decentralize decision making, and make care more patient centered. The VHA began development of the Computerized Patient Record System (CPRS), which was fully implemented by 1999 as one of the earliest electronic health record systems and shared it with the IHS.

The DoD, on the other hand, was in a long-term period of reduction and consolidation. The active-duty service member population dropped from 2.1 million to 1.6 million between 1984 and 1994 and would continue to drop to 1.4 million in 2001, even with the onset of the first Gulf War. The DoD rolled out the Civilian Health and Medical Program of the United States (CHAMPUS), which would later become TRICARE, that reshaped the way the DoD delivered health care for active-duty service members, their families, and retirees.

From the outset, Federal Practitioner sought to play a role in those transformations. For PHS officers stationed across the Centers for Disease Control and Prevention, US Food and Drug Administration, IHS, and Bureau of Prisons, the journal provided a new way to share findings and best practices. With a growing group of dedicated peer reviewers, Federal Practitioner articles became more clinical and more patient centered. Frequent columns gave way to clinical reviews, continuing medical education, and best practice articles.

 

 

Addressing Post-9/11 Veteran Needs

All of these changes were well under way on the eve of September 11, 2001. After years of reductions, the size of the military stabilized, but the demographics were shifting in important ways. Women made up a larger proportion of the active-duty population, growing from 5% in 1975 to 10% in 1985 and 14% in 2005. The military was also becoming more diverse, with a growing number of service members indicating Hispanic, Asian, Pacific Islander, and other identities. More importantly, a new set of health care concerns emerged to challenge DoD and VHA clinicians. A growing number of service members and veterans of the Gulf Wars were seeking care for respiratory diseases, cancers, blast injuries, and prosthetics.

Federal Practitioner articles primarily focused on quality improvement but increasingly the journal published original research and case studies. Columns like Common Errors in Internal Medicine and Advances in Geriatrics focused on quality improvement and innovative therapies, respectively. To supplement its 12 regular issues, in 2011 Federal Practitioner began publishing special issues to provide even more depth of coverage in specific disease states, including hematology/oncology (in cooperation with the Association of VA Hematology/Oncology), mental health, neurology, infectious diseases, diabetes, among other topics.

The Last 10 Years and the Next 40

In 2013, the DoD formally reorganized its health care operations under the Defense Health Agency, starting an entirely new process that would dramatically reshape health care delivery for 8 million beneficiaries and 140,000 employees. This started a long process of consolidating separate systems and priorities for each branch into a single approach. Meanwhile, controversies around long wait times for VHA appointments (and veterans who died while waiting) put it under intense scrutiny. Legislation to privatize some or all of health care for veterans were discussed and considered, which finally resulted in the creation of the Veterans Choice Program, which greatly expanded the use of private health care services for covered conditions.

In 2018, Federal Practitioner was accepted by the national Library of Medicine’s PubMed Central, ensuring the widest possible access to journal articles. The journal saw a steady growth in submissions and published a combined 21 regular and special issues that year driven by increased submissions and more original research studies.

More and more through the work of its authors, Federal Practitioner has been in the middle of critical and ongoing federal health care concerns. Federal Practitioner authors have turned to the journal to address issues ranging from the deprescribing of opioid medications to measures taken to decrease the incidence of veteran suicide and the challenges presented by artificial intelligence and telehealth delivery. Whether it was the federal responses to Ebola outbreaks in Africa or the myriad ways that the PHS and VA responded to the COVID-19 pandemic in the US, Federal Practitioner has been at the center of federal health care.

Further reading

eappendix

To learn more about the past 40 years of federal health care visit mdedge.com/fedprac or doi:10.12788/fp.0453.

When VA Practitioner published its first issue in January 1984, federal health care was at the cusp of a dramatic transformation. VA Practitioner stepped in to serve “as a forum, as a bulletin, as an easy means of communication with colleagues who share your unique concerns,” founding editor James McCloskey noted in the first issue.

The need for this forum was most acute at the US Department of Veterans Affairs (VA). The agency of about 200,000 employees was decentralizing its management, developing the first electronic health record system, and caring for an aging population of World War II and Vietnam War era veterans with high comorbidity burdens. In the 1980s, the VA was at a nadir and under increasing pressure to change. At that moment of challenge, VA Practitioner offered columns suggesting a way forward and focused on clinical improvements with articles like, “The ghosts of budgets past,” “Psychoenvironment: a therapeutic redesign plan,” and “The VA’s geriatric goals.” Within a few years, the journal had enlisted an editorial advisory board to help guide the journal and provide the first peer review process for articles.

Peer Review and Expanded Focus

Ten years later, tremendous changes were underway for both VA Practitioner and the VA. Ken Kizer, MD, MPH, was named Under Secretary of Health in 1994 and almost immediately started the massive process of reforming and reorganizing the VA’s health care arm: Veterans Health Administration (VHA). The VHA would expand from 2.7 million enrolled veteran patients in 1993 to 8.9 million in 2014. In the process, the VA transformed from an oft derided institution to a major source of research and care that hosted most US physician residents while delivering the “best care anywhere.”

In 1994, VA Practitioner changed its name, becoming Federal Practitioner with an expanded mandate to address the needs of US Department of Defense (DoD) and US Public Health Service (PHS) clinicians working at the Indian Health Service (IHS), Bureau of Prisons, and US Coast Guard. In addition, the journal instituted a double-blind peer review process. Health care reform was clearly on the agenda for the new journal.

A new vision for VHA sought to redistribute resources, decentralize decision making, and make care more patient centered. The VHA began development of the Computerized Patient Record System (CPRS), which was fully implemented by 1999 as one of the earliest electronic health record systems and shared it with the IHS.

The DoD, on the other hand, was in a long-term period of reduction and consolidation. The active-duty service member population dropped from 2.1 million to 1.6 million between 1984 and 1994 and would continue to drop to 1.4 million in 2001, even with the onset of the first Gulf War. The DoD rolled out the Civilian Health and Medical Program of the United States (CHAMPUS), which would later become TRICARE, that reshaped the way the DoD delivered health care for active-duty service members, their families, and retirees.

From the outset, Federal Practitioner sought to play a role in those transformations. For PHS officers stationed across the Centers for Disease Control and Prevention, US Food and Drug Administration, IHS, and Bureau of Prisons, the journal provided a new way to share findings and best practices. With a growing group of dedicated peer reviewers, Federal Practitioner articles became more clinical and more patient centered. Frequent columns gave way to clinical reviews, continuing medical education, and best practice articles.

 

 

Addressing Post-9/11 Veteran Needs

All of these changes were well under way on the eve of September 11, 2001. After years of reductions, the size of the military stabilized, but the demographics were shifting in important ways. Women made up a larger proportion of the active-duty population, growing from 5% in 1975 to 10% in 1985 and 14% in 2005. The military was also becoming more diverse, with a growing number of service members indicating Hispanic, Asian, Pacific Islander, and other identities. More importantly, a new set of health care concerns emerged to challenge DoD and VHA clinicians. A growing number of service members and veterans of the Gulf Wars were seeking care for respiratory diseases, cancers, blast injuries, and prosthetics.

Federal Practitioner articles primarily focused on quality improvement but increasingly the journal published original research and case studies. Columns like Common Errors in Internal Medicine and Advances in Geriatrics focused on quality improvement and innovative therapies, respectively. To supplement its 12 regular issues, in 2011 Federal Practitioner began publishing special issues to provide even more depth of coverage in specific disease states, including hematology/oncology (in cooperation with the Association of VA Hematology/Oncology), mental health, neurology, infectious diseases, diabetes, among other topics.

The Last 10 Years and the Next 40

In 2013, the DoD formally reorganized its health care operations under the Defense Health Agency, starting an entirely new process that would dramatically reshape health care delivery for 8 million beneficiaries and 140,000 employees. This started a long process of consolidating separate systems and priorities for each branch into a single approach. Meanwhile, controversies around long wait times for VHA appointments (and veterans who died while waiting) put it under intense scrutiny. Legislation to privatize some or all of health care for veterans were discussed and considered, which finally resulted in the creation of the Veterans Choice Program, which greatly expanded the use of private health care services for covered conditions.

In 2018, Federal Practitioner was accepted by the national Library of Medicine’s PubMed Central, ensuring the widest possible access to journal articles. The journal saw a steady growth in submissions and published a combined 21 regular and special issues that year driven by increased submissions and more original research studies.

More and more through the work of its authors, Federal Practitioner has been in the middle of critical and ongoing federal health care concerns. Federal Practitioner authors have turned to the journal to address issues ranging from the deprescribing of opioid medications to measures taken to decrease the incidence of veteran suicide and the challenges presented by artificial intelligence and telehealth delivery. Whether it was the federal responses to Ebola outbreaks in Africa or the myriad ways that the PHS and VA responded to the COVID-19 pandemic in the US, Federal Practitioner has been at the center of federal health care.

Further reading

eappendix

To learn more about the past 40 years of federal health care visit mdedge.com/fedprac or doi:10.12788/fp.0453.

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