Geriatrics

Low-dose chest CT for lung cancer screening provides the opportunity to simultaneously screen patients for osteoporosis, detecting notably higher rates of osteoporosis in men than the traditional tool of DXA, research published in the Journal of Bone and Mineral Research shows.

“Our large-scale, multicenter study of bone density measured from routine low-dose CT scans demonstrated the great potential of using low-dose CT for the opportunistic screening of osteoporosis as an alternative to standard DXA scans,” said senior author Wei Tian, MD, of the Chinese Academy of Engineering and Peking University, in a press statement from the journal.

“Our study revealed the unexpectedly high prevalence of osteoporosis in men, which may impact on the management strategy of men in the future,” Dr. Tian added.

Josephine Therkildsen, MD, of Herning Hospital, Denmark, who has conducted similar research using cardiac CT scans, said the findings add important new insights into the issue of opportunistic screening.

“The results are highly interesting, as they show that low-dose CT-based opportunistic screening could identify a substantial number of patients with low lumbar bone mineral density (BMD) with the future potential to diagnose osteoporosis and initiate relevant treatment before a fracture occurs,” she told this news organization.

Perry J. Pickhardt, MD, chief of gastrointestinal imaging at the University of Wisconsin School of Medicine and Public Health in Madison, agrees. He said in an interview that CT scans of the chest and abdomen, commonly performed for a variety of clinical indications and widespread in most developed countries, can in fact be essential for the detection of a multitude of other concerns – yet are underused for those other purposes.

Use of CT in this way “would likely be very cost effective and clinically efficacious,” he said, adding: “We are seeing greatly increased interest in leveraging this extra information that is contained within every CT scan.” And, “Importantly, artificial intelligence advances now allow for automated approaches, which should allow for expanded use.”
 

Lung cancer CT scans shed light on osteoporosis prevalence

In the study, led by Xiaoguang Cheng, MD, PhD, of the department of radiology, Beijing Jishuitan Hospital, China, researchers examined lung cancer CT screening data from the prospective China Biobank Project to determine the prevalence of osteoporosis in China.

This included the thoracic low-dose CT scans of 69,095 adults, including 40,733 men and 28,362 women, taken between 2018 and 2019.

To screen for osteoporosis, they used quantitative CT software to evaluate lumbar spine (L1-L2) trabecular volume BMD (vBMD) and diagnostic criteria from the American College of Radiology. Using the vBMD measures from the CT imaging, they found the prevalence of osteoporosis among those over 50 years of age in the Chinese population to be 29% for women (49 million) and 13.5% for men (22.8 million).

Interestingly, the osteoporosis prevalence rate among women was comparable to estimates in the population derived from DXA (29.1%); however, the rate in men was twice that estimated from DXA scans (6.5%).

Decreases in trabecular vBMD with age were observed in both genders. However, declines were steeper among women, who had higher peak trabecular vBMD (185.4 mg/cm³), compared with men (176.6 mg/cm³) at age 30-34 years, but significantly lower measures (62.4 mg/cm³) than men (92.1 mg/cm³) at age 80 years.

The prevalence of osteoporosis in women increased from 2.8% at age 50-54 years to 79.8% at age 85 or older, while in men, the prevalence was 3.2% at age 50-54 years and 44.1% at age 85 or older.

“This is the first study to establish Chinese reference data for vBMD using opportunistic screening from low-dose chest CT in a large population cohort,” the authors write.

“The opportunistic screening of osteoporosis using low-dose CT is clinically feasible and requires no additional exposure to ionizing radiation.”

In addition, no additional equipment or patient time was required, suggesting that “this approach has potential for opportunistic screening for osteoporosis.”

They note, however, that further cohort studies are needed to assess clinical utility of this method.
 

CT ‘likely a more accurate measure’ of volumetric BMD

Dr. Pickhardt said the differences in osteoporosis prevalence observed between DXA and CT-derived measures in men likely reflect the greater accuracy of CT.

“DXA is a planar technique with a number of drawbacks,” he said in an interview. “CT provides a more direct volumetric measure and is likely a more accurate method for BMD assessment.”

He speculated that the greater differences between DXA versus CT seen in men than women “may relate to sex differences in cortical bone of vertebral bodies, which cannot be separated from the underlying trabecular bone with DXA (whereas CT directly measures the inner trabecular bone).” 

The authors note that, although areal BMD (aBMD) derived from DXA is required for osteoporosis diagnosis according to World Health Organization criteria, “trabecular vBMD derived from CT can be also used for diagnosis based on thresholds published by the American College of Radiology of 120 mg/cm³ and 80 mg/cm³ to define osteopenia and osteoporosis, respectively, thresholds that were subsequently confirmed for the Chinese population.”

Furthermore, vBMD has been shown in some studies to be more strongly related to fracture risk, compared with DXA aBMD measures.

Importantly, in another recent study involving 9,223 adults, Dr. Pickhardt and colleagues reported that bone and muscle biomarkers derived from CT were comparable to the Fracture Risk Assessment Tool score for the presymptomatic prediction of future osteoporotic fractures.

Dr. Pickhardt is an advisor to Bracco Imaging and Zebra Medical Vision. Dr. Therkildsen has reported no relevant financial relationships.

This article first appeared on Medscape.com.

Low-dose chest CT for lung cancer screening provides the opportunity to simultaneously screen patients for osteoporosis, detecting notably higher rates of osteoporosis in men than the traditional tool of DXA, research published in the Journal of Bone and Mineral Research shows.

“Our large-scale, multicenter study of bone density measured from routine low-dose CT scans demonstrated the great potential of using low-dose CT for the opportunistic screening of osteoporosis as an alternative to standard DXA scans,” said senior author Wei Tian, MD, of the Chinese Academy of Engineering and Peking University, in a press statement from the journal.

“Our study revealed the unexpectedly high prevalence of osteoporosis in men, which may impact on the management strategy of men in the future,” Dr. Tian added.

Josephine Therkildsen, MD, of Herning Hospital, Denmark, who has conducted similar research using cardiac CT scans, said the findings add important new insights into the issue of opportunistic screening.

“The results are highly interesting, as they show that low-dose CT-based opportunistic screening could identify a substantial number of patients with low lumbar bone mineral density (BMD) with the future potential to diagnose osteoporosis and initiate relevant treatment before a fracture occurs,” she told this news organization.

Perry J. Pickhardt, MD, chief of gastrointestinal imaging at the University of Wisconsin School of Medicine and Public Health in Madison, agrees. He said in an interview that CT scans of the chest and abdomen, commonly performed for a variety of clinical indications and widespread in most developed countries, can in fact be essential for the detection of a multitude of other concerns – yet are underused for those other purposes.

Use of CT in this way “would likely be very cost effective and clinically efficacious,” he said, adding: “We are seeing greatly increased interest in leveraging this extra information that is contained within every CT scan.” And, “Importantly, artificial intelligence advances now allow for automated approaches, which should allow for expanded use.”
 

Lung cancer CT scans shed light on osteoporosis prevalence

In the study, led by Xiaoguang Cheng, MD, PhD, of the department of radiology, Beijing Jishuitan Hospital, China, researchers examined lung cancer CT screening data from the prospective China Biobank Project to determine the prevalence of osteoporosis in China.

This included the thoracic low-dose CT scans of 69,095 adults, including 40,733 men and 28,362 women, taken between 2018 and 2019.

To screen for osteoporosis, they used quantitative CT software to evaluate lumbar spine (L1-L2) trabecular volume BMD (vBMD) and diagnostic criteria from the American College of Radiology. Using the vBMD measures from the CT imaging, they found the prevalence of osteoporosis among those over 50 years of age in the Chinese population to be 29% for women (49 million) and 13.5% for men (22.8 million).

Interestingly, the osteoporosis prevalence rate among women was comparable to estimates in the population derived from DXA (29.1%); however, the rate in men was twice that estimated from DXA scans (6.5%).

Decreases in trabecular vBMD with age were observed in both genders. However, declines were steeper among women, who had higher peak trabecular vBMD (185.4 mg/cm³), compared with men (176.6 mg/cm³) at age 30-34 years, but significantly lower measures (62.4 mg/cm³) than men (92.1 mg/cm³) at age 80 years.

The prevalence of osteoporosis in women increased from 2.8% at age 50-54 years to 79.8% at age 85 or older, while in men, the prevalence was 3.2% at age 50-54 years and 44.1% at age 85 or older.

“This is the first study to establish Chinese reference data for vBMD using opportunistic screening from low-dose chest CT in a large population cohort,” the authors write.

“The opportunistic screening of osteoporosis using low-dose CT is clinically feasible and requires no additional exposure to ionizing radiation.”

In addition, no additional equipment or patient time was required, suggesting that “this approach has potential for opportunistic screening for osteoporosis.”

They note, however, that further cohort studies are needed to assess clinical utility of this method.
 

CT ‘likely a more accurate measure’ of volumetric BMD

Dr. Pickhardt said the differences in osteoporosis prevalence observed between DXA and CT-derived measures in men likely reflect the greater accuracy of CT.

“DXA is a planar technique with a number of drawbacks,” he said in an interview. “CT provides a more direct volumetric measure and is likely a more accurate method for BMD assessment.”

He speculated that the greater differences between DXA versus CT seen in men than women “may relate to sex differences in cortical bone of vertebral bodies, which cannot be separated from the underlying trabecular bone with DXA (whereas CT directly measures the inner trabecular bone).” 

The authors note that, although areal BMD (aBMD) derived from DXA is required for osteoporosis diagnosis according to World Health Organization criteria, “trabecular vBMD derived from CT can be also used for diagnosis based on thresholds published by the American College of Radiology of 120 mg/cm³ and 80 mg/cm³ to define osteopenia and osteoporosis, respectively, thresholds that were subsequently confirmed for the Chinese population.”

Furthermore, vBMD has been shown in some studies to be more strongly related to fracture risk, compared with DXA aBMD measures.

Importantly, in another recent study involving 9,223 adults, Dr. Pickhardt and colleagues reported that bone and muscle biomarkers derived from CT were comparable to the Fracture Risk Assessment Tool score for the presymptomatic prediction of future osteoporotic fractures.

Dr. Pickhardt is an advisor to Bracco Imaging and Zebra Medical Vision. Dr. Therkildsen has reported no relevant financial relationships.

This article first appeared on Medscape.com.

Low-dose chest CT for lung cancer screening provides the opportunity to simultaneously screen patients for osteoporosis, detecting notably higher rates of osteoporosis in men than the traditional tool of DXA, research published in the Journal of Bone and Mineral Research shows.

“Our large-scale, multicenter study of bone density measured from routine low-dose CT scans demonstrated the great potential of using low-dose CT for the opportunistic screening of osteoporosis as an alternative to standard DXA scans,” said senior author Wei Tian, MD, of the Chinese Academy of Engineering and Peking University, in a press statement from the journal.

“Our study revealed the unexpectedly high prevalence of osteoporosis in men, which may impact on the management strategy of men in the future,” Dr. Tian added.

Josephine Therkildsen, MD, of Herning Hospital, Denmark, who has conducted similar research using cardiac CT scans, said the findings add important new insights into the issue of opportunistic screening.

“The results are highly interesting, as they show that low-dose CT-based opportunistic screening could identify a substantial number of patients with low lumbar bone mineral density (BMD) with the future potential to diagnose osteoporosis and initiate relevant treatment before a fracture occurs,” she told this news organization.

Perry J. Pickhardt, MD, chief of gastrointestinal imaging at the University of Wisconsin School of Medicine and Public Health in Madison, agrees. He said in an interview that CT scans of the chest and abdomen, commonly performed for a variety of clinical indications and widespread in most developed countries, can in fact be essential for the detection of a multitude of other concerns – yet are underused for those other purposes.

Use of CT in this way “would likely be very cost effective and clinically efficacious,” he said, adding: “We are seeing greatly increased interest in leveraging this extra information that is contained within every CT scan.” And, “Importantly, artificial intelligence advances now allow for automated approaches, which should allow for expanded use.”
 

Lung cancer CT scans shed light on osteoporosis prevalence

In the study, led by Xiaoguang Cheng, MD, PhD, of the department of radiology, Beijing Jishuitan Hospital, China, researchers examined lung cancer CT screening data from the prospective China Biobank Project to determine the prevalence of osteoporosis in China.

This included the thoracic low-dose CT scans of 69,095 adults, including 40,733 men and 28,362 women, taken between 2018 and 2019.

To screen for osteoporosis, they used quantitative CT software to evaluate lumbar spine (L1-L2) trabecular volume BMD (vBMD) and diagnostic criteria from the American College of Radiology. Using the vBMD measures from the CT imaging, they found the prevalence of osteoporosis among those over 50 years of age in the Chinese population to be 29% for women (49 million) and 13.5% for men (22.8 million).

Interestingly, the osteoporosis prevalence rate among women was comparable to estimates in the population derived from DXA (29.1%); however, the rate in men was twice that estimated from DXA scans (6.5%).

Decreases in trabecular vBMD with age were observed in both genders. However, declines were steeper among women, who had higher peak trabecular vBMD (185.4 mg/cm³), compared with men (176.6 mg/cm³) at age 30-34 years, but significantly lower measures (62.4 mg/cm³) than men (92.1 mg/cm³) at age 80 years.

The prevalence of osteoporosis in women increased from 2.8% at age 50-54 years to 79.8% at age 85 or older, while in men, the prevalence was 3.2% at age 50-54 years and 44.1% at age 85 or older.

“This is the first study to establish Chinese reference data for vBMD using opportunistic screening from low-dose chest CT in a large population cohort,” the authors write.

“The opportunistic screening of osteoporosis using low-dose CT is clinically feasible and requires no additional exposure to ionizing radiation.”

In addition, no additional equipment or patient time was required, suggesting that “this approach has potential for opportunistic screening for osteoporosis.”

They note, however, that further cohort studies are needed to assess clinical utility of this method.
 

CT ‘likely a more accurate measure’ of volumetric BMD

Dr. Pickhardt said the differences in osteoporosis prevalence observed between DXA and CT-derived measures in men likely reflect the greater accuracy of CT.

“DXA is a planar technique with a number of drawbacks,” he said in an interview. “CT provides a more direct volumetric measure and is likely a more accurate method for BMD assessment.”

He speculated that the greater differences between DXA versus CT seen in men than women “may relate to sex differences in cortical bone of vertebral bodies, which cannot be separated from the underlying trabecular bone with DXA (whereas CT directly measures the inner trabecular bone).” 

The authors note that, although areal BMD (aBMD) derived from DXA is required for osteoporosis diagnosis according to World Health Organization criteria, “trabecular vBMD derived from CT can be also used for diagnosis based on thresholds published by the American College of Radiology of 120 mg/cm³ and 80 mg/cm³ to define osteopenia and osteoporosis, respectively, thresholds that were subsequently confirmed for the Chinese population.”

Furthermore, vBMD has been shown in some studies to be more strongly related to fracture risk, compared with DXA aBMD measures.

Importantly, in another recent study involving 9,223 adults, Dr. Pickhardt and colleagues reported that bone and muscle biomarkers derived from CT were comparable to the Fracture Risk Assessment Tool score for the presymptomatic prediction of future osteoporotic fractures.

Dr. Pickhardt is an advisor to Bracco Imaging and Zebra Medical Vision. Dr. Therkildsen has reported no relevant financial relationships.

This article first appeared on Medscape.com.

From the Senior Health Program, Providence Health & Services, Oregon, Portland, OR.

Abstract

Background: Approximately 51 million adults in the United States are 65 years of age or older, yet few geriatric-trained primary care providers (PCP) serve this population. The Age-Friendly Health System framework, consisting of evidence-based 4M care (Mobility, Medication, Mentation, and what Matters), encourages all PCPs to assess mobility in older adults.

Objective: To improve PCP knowledge, confidence, and clinical practice in assessing and managing fall risk.

Methods: A 1-week educational session focusing on mobility (part of a 4-week Geriatric Mini-Fellowship) for 6 selected PCPs from a large health care system was conducted to increase knowledge and ability to address fall risk in older adults. The week included learning and practicing a Fall Risk Management Plan (FRMP) algorithm, including planning for their own practice changes. Pre- and post-test surveys assessed changes in knowledge and confidence. Patient data were compared 12 months before and after training to evaluate PCP adoption of FRMP components.

Results: The training increased provider knowledge and confidence. The trained PCPs were 1.7 times more likely to screen for fall risk; 3.6 times more likely to discuss fall risk; and 5.8 times more likely to assess orthostatic blood pressure in their 65+ patients after the mini-fellowship. In high-risk patients, they were 4.1 times more likely to discuss fall risk and 6.3 times more likely to assess orthostatic blood pressure than their nontrained peers. Changes in physical therapy referral rates were not observed.

Conclusions: In-depth, skills-based geriatric educational sessions improved PCPs’ knowledge and confidence and also improved their fall risk management practices for their older patients.

Keywords: geriatrics; guidelines; Age-Friendly Health System; 4M; workforce training; practice change; fellowship.

The US population is aging rapidly. People aged 85 years and older are the largest-growing segment of the US population, and this segment is expected to increase by 123% by 2040.¹ Caregiving needs increase with age as older adults develop more chronic conditions, such as hypertension, heart disease, arthritis, and dementia. However, even with increasing morbidity and dependence, a majority of older adults still live in the community rather than in institutional settings.² These older adults seek medical care more frequently than younger people, with about 22% of patients 75 years and older having 10 or more health care visits in the previous 12 months. By 2040, nearly a quarter of the US population is expected to be 65 or older, with many of these older adults seeking regular primary care from providers who do not have formal training in the care of a population with multiple complex, chronic health conditions and increased caregiving needs.¹

Despite this growing demand for health care professionals trained in the care of older adults, access to these types of clinicians is limited. In 2018, there were roughly 7000 certified geriatricians, with only 3600 of them practicing full-time.^3,4 Similarly, of 290,000 certified nurse practitioners (NPs), about 9% of them have geriatric certification.⁵ Geriatricians, medical doctors trained in the care of older adults, and geriatric-trained NPs are part of a cadre of a geriatric-trained workforce that provides unique expertise in caring for older adults with chronic and advanced illness. They know how to manage multiple, complex geriatric syndromes like falls, dementia, and polypharmacy; understand and maximize team-based care; and focus on caring for an older person with a goal-centered versus a disease-centered approach.⁶

Broadly, geriatric care includes a spectrum of adults, from those who are aging healthfully to those who are the frailest. Research has suggested that approximately 30% of older adults need care by a geriatric-trained clinician, with the oldest and frailest patients needing more clinician time for assessment and treatment, care coordination, and coaching of caregivers.⁷ With this assumption in mind, it is projected that by 2025, there will be a national shortage of 26,980 geriatricians, with the western United States disproportionately affected by this shortage.⁴Rather than lamenting this shortage, Tinetti recommends a new path forward: “Our mission should not be to train enough geriatricians to provide direct care, but rather to ensure that every clinician caring for older adults is competent in geriatric principles and practices.”⁸ Sometimes called ”geriatricizing,” the idea is to use existing geriatric providers as a small elite training force to infuse geriatric principles and skills across their colleagues in primary care and other disciplines.^8,9 Efforts of the American Geriatrics Society (AGS), with support from the John A. Hartford Foundation (JAHF), have been successful in developing geriatric training across multiple specialties, including surgery, orthopedics, and emergency medicine (www.americangeriatrics.org/programs/geriatrics-specialists-initiative).

The Age-Friendly Health System and 4M Model

To help augment this idea of equipping health care systems and their clinicians with more readily available geriatric knowledge, skills, and tools, the JAHF, along with the Institute for Healthcare Improvement (IHI), created the Age-Friendly Health System (AFHS) paradigm in 2015.¹⁰ Using the 4M model, the AFHS initiative established a set of evidence-based geriatric priorities and interventions meant to improve the care of older adults, reduce harm and duplication, and provide a framework for engaging leadership, clinical teams, and operational systems across inpatient and ambulatory settings.¹¹ Mobility, including fall risk screening and intervention, is 1 of the 4M foundational elements of the Age-Friendly model. In addition to Mobility, the 4M model also includes 3 other key geriatric domains: Mentation (dementia, depression, and delirium), Medication (high-risk medications, polypharmacy, and deprescribing), and What Matters (goals of care conversations and understanding quality of life for older patients).¹¹ The 4M initiative encourages adoption of a geriatric lens that looks across chronic conditions and accounts for the interplay among geriatric syndromes, such as falls, cognitive impairment, and frailty, in order to provide care better tailored to what the patient needs and desires.¹² IHI and JAHF have targeted the adoption of the 4M model by 20% of US health care systems by 2020.¹¹

Mini-Fellowship and Mobility Week

To bolster geriatric skills among community-based primary care providers (PCPs), we initiated a Geriatric Mini-Fellowship, a 4-week condensed curriculum taught over 6 months. Each week focuses on 1 of the age-friendly 4Ms, with the goal of increasing the knowledge, self-efficacy, skills, and competencies of the participating PCPs (called “fellow” hereafter) and at the same time, equipping each to become a champion of geriatric practice. This article focuses on the Mobility week, the second week of the mini-fellowship, and the effect of the week on the fellows’ practice changes.

To construct the Mobility week’s curriculum with a focus on the ambulatory setting, we relied upon national evidence-based work in fall risk management. The Centers for Disease Control and Prevention (CDC) has made fall risk screening and management in primary care a high priority. Using the clinical practice guidelines for managing fall risk developed by the American and British Geriatrics Societies (AGS/BGS), the CDC developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) toolkit.¹³ Foundational to the toolkit is the validated 12-item Stay Independent falls screening questionnaire (STEADI questionnaire).¹⁴ Patients who score 4 or higher (out of a total score of 14) on the questionnaire are considered at increased risk of falling. The CDC has developed a clinical algorithm that guides clinical teams through screening and assessment to help identify appropriate interventions to target specific risk factors. Research has clearly established that a multifactorial approach to fall risk intervention can be successful in reducing fall risk by as much as 25%.^15-17

The significant morbidity and mortality caused by falls make training nongeriatrician clinicians on how to better address fall risk imperative. More than 25% of older adults fall each year.¹⁸ These falls contribute to rising rates of fall-related deaths,¹⁹ emergency department (ED) visits,²⁰ and hospital readmissions.²¹ Initiatives like the AFHS focus on mobility and the CDC’s development of supporting clinical materials²² aim to improve primary care adoption of fall risk screening and intervention practices.^23,24 The epidemic of falls must compel all PCPs, not just those practicing geriatrics, to make discussing and addressing fall risk and falls a priority.

Methods

Setting

This project took place as part of a regional primary care effort in Oregon. Providence Health & Services-Oregon is part of a multi-state integrated health care system in the western United States whose PCPs serve more than 80,000 patients aged 65 years and older per year; these patients comprise 38% of the system’s office visits each year. Regionally, there are 47 family and internal medicine clinics employing roughly 290 providers (physicians, NPs, and physician assistants). The organization has only 4 PCPs trained in geriatrics and does not offer any geriatric clinical consultation services. Six PCPs from different clinics, representing both rural and urban settings, are chosen to participate in the geriatric mini-fellowship each year.

This project was conducted as a quality improvement initiative within the organization and did not constitute human subjects research. It was not conducted under the oversight of the Institutional Review Board.

Intervention

The mini-fellowship was taught in 4 1-week blocks between April and October 2018, with a curriculum designed to be interactive and practical. The faculty was intentionally interdisciplinary to teach and model team-based practice. Each week participants were excused from their clinical practice. Approximately 160 hours of continuing medical education credits were awarded for the full mini-fellowship. As part of each weekly session, a performance improvement project (PIP) focused on that week’s topic (1 of the 4Ms) was developed by the fellow and their team members to incorporate the mini-fellowship learnings into their clinic workflows. Fellows also had 2 hours per week of dedicated administration time for a year, outside the fellowship, to work on their PIP and 4M practice changes within their clinic.

Provider Education

The week for mobility training comprised 4 daylong sessions. The first 2 days were spent learning about the epidemiology of falls; risk factors for falling; how to conduct a thorough history and assessment of fall risk; and how to create a prioritized Fall Risk Management Plan (FRMP) to decrease a patient’s individual fall risk through tailored interventions. The FRMP was adapted from the CDC STEADI toolkit.¹³ Core faculty were 2 geriatric-trained providers (NP and physician) and a physical therapist (PT) specializing in fall prevention.

On the third day, fellows took part in a simulated fall risk clinic, in which older adults volunteered to be patient partners, providing an opportunity to apply learnings from days 1 and 2. The clinic included the fellow observing a PT complete a mobility assessment and a pharmacist conduct a high-risk medication review. The fellow synthesized the findings of the mobility assessment and medication review, as well as their own history and assessment, to create a summary of fall risk recommendations to discuss with their volunteer patient partner. The fellows were observed and evaluated in their skills by their patient partner, course faculty, and another fellow. The patient partners, and their assigned fellow, also participated in a 45-minute fall risk presentation, led by a nurse.

On the fourth day, the fellows were joined by select clinic partners, including nurses, pharmacists, and/or medical assistants. The session included discussions among each fellow’s clinical team regarding the current state of fall risk efforts at their clinic, an analysis of barriers, and identification of opportunities to improve workflows and screening rates. Each fellow took with them an action plan tailored to their clinic to improve fall risk management practices, starting with the fellow’s own practice.

Fall Risk Management Plan

The educational sessions introduced the fellows to the FRMP. The FRMP, adapted from the STEADI toolkit, includes a process for fall risk screening (Figure 1) and stratifying a patient’s risk based on their STEADI score in order to promote 3 priority assessments (gait evaluation with PT referral if appropriate; orthostatic blood pressure; and high-risk medication review; Figure 2). Initial actions based on these priority assessments were followed over time, with additional fall risk interventions added as clinically indicated.²⁵ The FRMP is intended to be used during routine office visits, Medicare annual wellness visits, or office visits focused on fall risk or related medical disorders (ie, fall risk visits.)

Providers and their teams were encouraged to spread out fall-related conversations with their patients over multiple visits, since many patients have multiple fall risk factors at play, in addition to other chronic medical issues, and since many interventions often require behavior changes on the part of the patient. Providers also had access to fall-related electronic health record (EHR) templates as well as a comprehensive, internal fall risk management website that included assessment tools, evidence-based resources, and patient handouts.

Assessment and Measurements

We assessed provider knowledge and comfort in their fall risk evaluation and management skills before and after the educational intervention using an 11-item multiple-choice questionnaire and a 4-item confidence questionnaire. The confidence questions used a 7-point Likert scale, with 0 indicating “no confidence” and 7 indicating ”lots of confidence.” The questions were administered via a paper survey. Qualitative comments were derived from evaluations completed at the end of the week.

The fellows’ practice of fall risk screening and management was studied from May 2018, at the completion of Mobility week, to May 2019 for the post-intervention period. A 1-year timeframe before May 2018 was used as the pre-intervention period. Eligible visit types, during which we assumed fall risk was discussed, were any office visits for patients 65+ completed by the patients’ PCPs that used fall risk as a reason for the visit or had a fall-related diagnosis code. Fall risk visits performed by other clinic providers were not counted.

Of those patients who had fall risk screenings completed and were determined to be high risk (STEADI score ≥ 4), data were analyzed to determine whether these patients had any fall-related follow-up visits to their PCP within 60 days of the STEADI screening. For these high-risk patients, data were studied to understand whether orthostatic blood pressure measurements were performed (as documented in a flowsheet) and whether a PT referral was placed. These data were compared with those from providers who practiced in clinics within the same system but who did not participate in the mini-fellowship. Data were obtained from the organization’s EHR. Additional data were measured to evaluate patterns of deprescribing of select high-risk medications, but these data are not included in this analysis.

Analysis

A paired-samples t test was used to measure changes in provider confidence levels. Data were aggregated across fellows, resulting in a mean. A chi-square test of independence was performed to examine the relationship between rates of FRMP adoption by select provider groups. Analysis included a pre- and post-intervention assessment of the fellows’ adoption of FRMP practices, as well as a comparison between the fellows’ practice patterns and those of a control group of PCPs in the organization’s other clinics who did not participate in the mini-fellowship (nontrained control group). Excluded from the control group were providers from the same clinic as the fellows; providers in clinics with a geriatric-trained provider on staff; and clinics outside of the Portland metro and Medford service areas. We used an alpha level of 0.05 for all statistical tests.

Data from 5 providers were included in the analysis of the FRMP adoption. The sixth provider changed practice settings from the clinic to the ED after completing the fellowship; her patient data were not included in the FRMP part of the analysis. EHR data included data on all visits of patients 65+, as well as data for just those 65+ patients who had been identified as being at high risk to fall based on a STEADI score of 4 or higher.

Results

Provider Questionnaire

All 6 providers responded to the pre-intervention and post-intervention tests. For the knowledge questions, fellows, as a composite, correctly answered 57% of the questions before the intervention and 79% after the intervention. Provider confidence level in delivering fall risk care was measured prior to the training (mean, 4.12 [SD, 0.62]) and at the end of the training (mean, 6.47 [SD, 0.45]), demonstrating a significant increase in confidence (t (5) = –10.46, P < 0.001).

Qualitative Comments

Providers also had the opportunity to provide comments on their experience during the Mobility week and at the end of 1 year. In general, the simulated interdisciplinary fall risk clinic was highly rated (“the highlight of the week”) as a practical strategy to embed learning principles. One fellow commented, “Putting the learning into practice helps solidify it in my brain.” Fellows also appreciated the opportunity to learn and meet with their clinic colleagues to begin work on a fall-risk focused PIP and to “have a framework for what to do for people who screen positive [for fall risk].”

FRMP Adoption

A comparison of the care the fellows provided to their patients 65+ in the 12 months pre- and post-training shows the fellows demonstrated significant changes in practice patterns. The fellows were 1.7 times more likely to screen for fall risk; 3.6 times more likely to discuss fall risk; and 5.8 times more likely to check orthostatic blood pressure than prior to the mini-fellowship (Table 1).

The control providers also demonstrated significant increases in fall risk screening and discussion of fall risk between the pre- and post-intervention periods; however, the relative risk (RR) was between 1.10 and 1.13 for this group. For the control group, checking orthostatic blood pressure did not significantly change. In the 12 months after training (Table 2), the fellows were 4.2 times more likely to discuss fall risk and almost 5 times more likely to check orthostatic blood pressure than their nontrained peers for all of their patients 65+, regardless of their risk to fall.

As shown in Table 3, for those patients determined to be at high risk of falling (STEADI score ≥ 4), fellows showed statistically significant increases in fall risk visits (RR, 3.02) and assessment of orthostatic blood pressure (RR, 10.68) before and after the mini-fellowship. The control providers did not show any changes in practice patterns between the pre- and post-period among patients at high risk to fall.

Neither the fellows nor the control group showed changes in patterns of referral to PT. In comparing the 2 groups in the 12 months after training (Table 4), for their patients at risk of falling, the fellows were 4 times more likely to complete fall risk visits and over 6 times more likely to assess orthostatic blood pressure than their nontrained peers. Subgroup analysis of the 75+ population revealed similar trends and significance, but these results are not included here.

Discussion

This study aimed to improve not only providers’ knowledge and confidence in caring for older adults at increased risk to fall, but also their clinical practice in assessing and managing fall risk. In addition to improved knowledge and confidence, we found that the fellows increased their discussion of fall risk (through fall risk visits) and their assessment of orthostatic blood pressure for all of their patients, not just for those identified at increased risk to fall. This improvement held true for the fellows themselves before and after the intervention, but also as compared to their nontrained peers. These practice improvements for all of their 65+ patients, not just those identified as being at high risk to fall, are especially important, since studies indicate that early screening and intervention can help identify people at risk and prevent future falls.¹⁵

We were surprised that there were no significant differences in PT referrals made by the trained fellows, but this finding may have been confounded by the fact that the data included all PT referrals, regardless of diagnosis, not just those referrals that were fall-related. Furthermore, our baseline PT referral rates, at 39% for the intervention group and 42% for the control group, are higher than national data when looking at rehabilitation use by older adults.²⁶

In comparison to a study evaluating the occurrence of fall risk–related clinical practice in primary care before any fall-related educational intervention, orthostatics were checked less frequently in our study (10% versus 30%) and there were fewer PT referrals (42%–44% versus 53%).²⁷ However, the Phelan study took place in patients who had actually had a fall, rather than just having a higher risk for a fall, and was based on detailed chart review. Other studies^23,24 found higher rates of fall risk interventions, but did not break out PT referrals specifically.

In terms of the educational intervention itself, most studies of geriatric education interventions have measured changes in knowledge, confidence, or self-efficacy as they relate to geriatric competence,^28-30 and do not measure practice change as an outcome outside of intent to change or self-reported practice change.^31,32 In general, practice change or longer-term health care–related outcomes have not been studied. Additionally, a range of dosages of educational interventions has been studied, from 1-hour lunchtime presentations^23,32 to half-day²⁹ or several half-day workshops,²⁸ up to 160 hours over 10 months³⁰ or 5 weekends over 6 months.³¹ The duration of our entire intervention at 160 hours over 6 months would be considered on the upper end of dosing relative to these studies, with our Mobility week intervention comprising 32 hours during 1 week. In the Warshaw study, despite 107 1-hour sessions being taught to over 60 physicians in 16 practices over 4 years, only 2 practices ultimately initiated any practice change projects.³² We believe that only curricula that embed practice change skills and opportunities, at a significant enough dose, can actually impact practice change in a sustainable manner.

Knowledge and skill acquisition among individual providers does not take place to a sufficient degree in the current health care arena, which is focused on productivity and short visit times. Consistent with other studies, we included interdisciplinary members of the primary care team for part of the mini-fellowship, although other studies used models that train across disciplines for the entirety of the learning experience.^28-30,33 Our educational model was strengthened by including other professionals to provide some of the education and model the ideal geriatric team, including PT, occupational therapy, and pharmacy, for the week on mobility.

Most studies exploring interventions through geriatric educational initiatives are conducted within academic institutions, with a primary focus on physician faculty and, by extension, their teaching of residents and others.^34,35 We believe our integrated model, which is steeped in community-based primary care practices like Lam’s,³¹ offers the greatest outreach to large community-based care systems and their patients. Training providers to work with their teams to change their own practices first gives skills and expertise that help further establish them as geriatric champions within their practices, laying the groundwork for more widespread practice change at their clinics.

Limitations

In addition to the limitations described above relating to the capture of PT referrals, other limitations included the relatively short time period for follow-up data as well as the small size of the intervention group. However, we found value in the instructional depth that the small group size allowed.

While the nontrained providers did show some improvement during the same period, we believe the relative risk was not clinically significant. We suspect that the larger health system efforts to standardize screening of patients 65+ across all clinics as a core quality metric confounded these results. The data analysis also included only fall-related patient visits that occurred with a provider who was that patient’s PCP, which could have missed visits done by other PCP colleagues, RNs, or pharmacists in the same clinic, thus undercounting the true number of fall-related visits. Furthermore, counting of fall-related interventions relied upon providers documenting consistently in the EHR, which could also lead to under-represention of fall risk clinical efforts.

The data presented, while encouraging, do not reflect clinic-wide practice change patterns and are considered only proximate outcomes rather than more long-term or cost-related outcomes, as would be captured by fall-related utilization measures like emergency room visits and hospitalizations. We expect to evaluate the broader impact and these value-based outcomes in the future. All providers and teams were from the same health care system, which may not allow our results to transfer to other organizations or regions of clinical practice.

Summary

This study demonstrates that an intensive mini-fellowship model of geriatrics training improved both knowledge and confidence in the realm of fall risk assessment and intervention among PCPs who had not been formally trained in geriatrics. More importantly, the training improved the fall-related care of their patients at increased risk to fall, but also of all of their older patients, with improvements in care measured up to a year after the mini-fellowship. Although this article only describes the work done as part of the Mobility aim of the 4M AFHS model, we believe the entire mini-fellowship curriculum offers the opportunity to “geriatricize” clinicians and their teams in learning geriatric principles and skills that they can translate into their practice in a sustainable way, as Tinetti encourages.⁸ Future study to evaluate other process outcomes more precisely, such as PT, as well as cost- and value-based outcomes, and the influence of trained providers on their clinic partners, will further establish the value proposition of targeted, disseminated, intensive geriatrics training of primary care clinicians as a strategy of age-friendly health systems as they work to improve the care of their older adults.

Acknowledgment: We are grateful for the dedication and hard work of the 2018 Geriatric Mini-Fellowship fellows at Providence Health & Services-Oregon who made this article possible. Thanks to Drs. Stephanie Cha, Emily Puukka-Clark, Laurie Dutkiewicz, Cara Ellis, Deb Frost, Jordan Roth, and Subhechchha Shah for promoting the AFHS work within their Providence Medical Group clinics and to PMG leadership and the fellows’ clinical teams for supporting the fellows, the AFHS work, and their older patients.

Corresponding author: Colleen M. Casey, PhD, ANP-BC, Providence Health & Services, Senior Health Program, 4400 NE Halsey, 5th Floor, Portland, OR 97213; [email protected].

Financial disclosures: None.

From the Senior Health Program, Providence Health & Services, Oregon, Portland, OR.

Abstract

Background: Approximately 51 million adults in the United States are 65 years of age or older, yet few geriatric-trained primary care providers (PCP) serve this population. The Age-Friendly Health System framework, consisting of evidence-based 4M care (Mobility, Medication, Mentation, and what Matters), encourages all PCPs to assess mobility in older adults.

Objective: To improve PCP knowledge, confidence, and clinical practice in assessing and managing fall risk.

Methods: A 1-week educational session focusing on mobility (part of a 4-week Geriatric Mini-Fellowship) for 6 selected PCPs from a large health care system was conducted to increase knowledge and ability to address fall risk in older adults. The week included learning and practicing a Fall Risk Management Plan (FRMP) algorithm, including planning for their own practice changes. Pre- and post-test surveys assessed changes in knowledge and confidence. Patient data were compared 12 months before and after training to evaluate PCP adoption of FRMP components.

Results: The training increased provider knowledge and confidence. The trained PCPs were 1.7 times more likely to screen for fall risk; 3.6 times more likely to discuss fall risk; and 5.8 times more likely to assess orthostatic blood pressure in their 65+ patients after the mini-fellowship. In high-risk patients, they were 4.1 times more likely to discuss fall risk and 6.3 times more likely to assess orthostatic blood pressure than their nontrained peers. Changes in physical therapy referral rates were not observed.

Conclusions: In-depth, skills-based geriatric educational sessions improved PCPs’ knowledge and confidence and also improved their fall risk management practices for their older patients.

Keywords: geriatrics; guidelines; Age-Friendly Health System; 4M; workforce training; practice change; fellowship.

The US population is aging rapidly. People aged 85 years and older are the largest-growing segment of the US population, and this segment is expected to increase by 123% by 2040.¹ Caregiving needs increase with age as older adults develop more chronic conditions, such as hypertension, heart disease, arthritis, and dementia. However, even with increasing morbidity and dependence, a majority of older adults still live in the community rather than in institutional settings.² These older adults seek medical care more frequently than younger people, with about 22% of patients 75 years and older having 10 or more health care visits in the previous 12 months. By 2040, nearly a quarter of the US population is expected to be 65 or older, with many of these older adults seeking regular primary care from providers who do not have formal training in the care of a population with multiple complex, chronic health conditions and increased caregiving needs.¹

Despite this growing demand for health care professionals trained in the care of older adults, access to these types of clinicians is limited. In 2018, there were roughly 7000 certified geriatricians, with only 3600 of them practicing full-time.^3,4 Similarly, of 290,000 certified nurse practitioners (NPs), about 9% of them have geriatric certification.⁵ Geriatricians, medical doctors trained in the care of older adults, and geriatric-trained NPs are part of a cadre of a geriatric-trained workforce that provides unique expertise in caring for older adults with chronic and advanced illness. They know how to manage multiple, complex geriatric syndromes like falls, dementia, and polypharmacy; understand and maximize team-based care; and focus on caring for an older person with a goal-centered versus a disease-centered approach.⁶

Broadly, geriatric care includes a spectrum of adults, from those who are aging healthfully to those who are the frailest. Research has suggested that approximately 30% of older adults need care by a geriatric-trained clinician, with the oldest and frailest patients needing more clinician time for assessment and treatment, care coordination, and coaching of caregivers.⁷ With this assumption in mind, it is projected that by 2025, there will be a national shortage of 26,980 geriatricians, with the western United States disproportionately affected by this shortage.⁴Rather than lamenting this shortage, Tinetti recommends a new path forward: “Our mission should not be to train enough geriatricians to provide direct care, but rather to ensure that every clinician caring for older adults is competent in geriatric principles and practices.”⁸ Sometimes called ”geriatricizing,” the idea is to use existing geriatric providers as a small elite training force to infuse geriatric principles and skills across their colleagues in primary care and other disciplines.^8,9 Efforts of the American Geriatrics Society (AGS), with support from the John A. Hartford Foundation (JAHF), have been successful in developing geriatric training across multiple specialties, including surgery, orthopedics, and emergency medicine (www.americangeriatrics.org/programs/geriatrics-specialists-initiative).

The Age-Friendly Health System and 4M Model

To help augment this idea of equipping health care systems and their clinicians with more readily available geriatric knowledge, skills, and tools, the JAHF, along with the Institute for Healthcare Improvement (IHI), created the Age-Friendly Health System (AFHS) paradigm in 2015.¹⁰ Using the 4M model, the AFHS initiative established a set of evidence-based geriatric priorities and interventions meant to improve the care of older adults, reduce harm and duplication, and provide a framework for engaging leadership, clinical teams, and operational systems across inpatient and ambulatory settings.¹¹ Mobility, including fall risk screening and intervention, is 1 of the 4M foundational elements of the Age-Friendly model. In addition to Mobility, the 4M model also includes 3 other key geriatric domains: Mentation (dementia, depression, and delirium), Medication (high-risk medications, polypharmacy, and deprescribing), and What Matters (goals of care conversations and understanding quality of life for older patients).¹¹ The 4M initiative encourages adoption of a geriatric lens that looks across chronic conditions and accounts for the interplay among geriatric syndromes, such as falls, cognitive impairment, and frailty, in order to provide care better tailored to what the patient needs and desires.¹² IHI and JAHF have targeted the adoption of the 4M model by 20% of US health care systems by 2020.¹¹

Mini-Fellowship and Mobility Week

To bolster geriatric skills among community-based primary care providers (PCPs), we initiated a Geriatric Mini-Fellowship, a 4-week condensed curriculum taught over 6 months. Each week focuses on 1 of the age-friendly 4Ms, with the goal of increasing the knowledge, self-efficacy, skills, and competencies of the participating PCPs (called “fellow” hereafter) and at the same time, equipping each to become a champion of geriatric practice. This article focuses on the Mobility week, the second week of the mini-fellowship, and the effect of the week on the fellows’ practice changes.

To construct the Mobility week’s curriculum with a focus on the ambulatory setting, we relied upon national evidence-based work in fall risk management. The Centers for Disease Control and Prevention (CDC) has made fall risk screening and management in primary care a high priority. Using the clinical practice guidelines for managing fall risk developed by the American and British Geriatrics Societies (AGS/BGS), the CDC developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) toolkit.¹³ Foundational to the toolkit is the validated 12-item Stay Independent falls screening questionnaire (STEADI questionnaire).¹⁴ Patients who score 4 or higher (out of a total score of 14) on the questionnaire are considered at increased risk of falling. The CDC has developed a clinical algorithm that guides clinical teams through screening and assessment to help identify appropriate interventions to target specific risk factors. Research has clearly established that a multifactorial approach to fall risk intervention can be successful in reducing fall risk by as much as 25%.^15-17

The significant morbidity and mortality caused by falls make training nongeriatrician clinicians on how to better address fall risk imperative. More than 25% of older adults fall each year.¹⁸ These falls contribute to rising rates of fall-related deaths,¹⁹ emergency department (ED) visits,²⁰ and hospital readmissions.²¹ Initiatives like the AFHS focus on mobility and the CDC’s development of supporting clinical materials²² aim to improve primary care adoption of fall risk screening and intervention practices.^23,24 The epidemic of falls must compel all PCPs, not just those practicing geriatrics, to make discussing and addressing fall risk and falls a priority.

Methods

Setting

This project took place as part of a regional primary care effort in Oregon. Providence Health & Services-Oregon is part of a multi-state integrated health care system in the western United States whose PCPs serve more than 80,000 patients aged 65 years and older per year; these patients comprise 38% of the system’s office visits each year. Regionally, there are 47 family and internal medicine clinics employing roughly 290 providers (physicians, NPs, and physician assistants). The organization has only 4 PCPs trained in geriatrics and does not offer any geriatric clinical consultation services. Six PCPs from different clinics, representing both rural and urban settings, are chosen to participate in the geriatric mini-fellowship each year.

This project was conducted as a quality improvement initiative within the organization and did not constitute human subjects research. It was not conducted under the oversight of the Institutional Review Board.

Intervention

The mini-fellowship was taught in 4 1-week blocks between April and October 2018, with a curriculum designed to be interactive and practical. The faculty was intentionally interdisciplinary to teach and model team-based practice. Each week participants were excused from their clinical practice. Approximately 160 hours of continuing medical education credits were awarded for the full mini-fellowship. As part of each weekly session, a performance improvement project (PIP) focused on that week’s topic (1 of the 4Ms) was developed by the fellow and their team members to incorporate the mini-fellowship learnings into their clinic workflows. Fellows also had 2 hours per week of dedicated administration time for a year, outside the fellowship, to work on their PIP and 4M practice changes within their clinic.

Provider Education

The week for mobility training comprised 4 daylong sessions. The first 2 days were spent learning about the epidemiology of falls; risk factors for falling; how to conduct a thorough history and assessment of fall risk; and how to create a prioritized Fall Risk Management Plan (FRMP) to decrease a patient’s individual fall risk through tailored interventions. The FRMP was adapted from the CDC STEADI toolkit.¹³ Core faculty were 2 geriatric-trained providers (NP and physician) and a physical therapist (PT) specializing in fall prevention.

On the third day, fellows took part in a simulated fall risk clinic, in which older adults volunteered to be patient partners, providing an opportunity to apply learnings from days 1 and 2. The clinic included the fellow observing a PT complete a mobility assessment and a pharmacist conduct a high-risk medication review. The fellow synthesized the findings of the mobility assessment and medication review, as well as their own history and assessment, to create a summary of fall risk recommendations to discuss with their volunteer patient partner. The fellows were observed and evaluated in their skills by their patient partner, course faculty, and another fellow. The patient partners, and their assigned fellow, also participated in a 45-minute fall risk presentation, led by a nurse.

On the fourth day, the fellows were joined by select clinic partners, including nurses, pharmacists, and/or medical assistants. The session included discussions among each fellow’s clinical team regarding the current state of fall risk efforts at their clinic, an analysis of barriers, and identification of opportunities to improve workflows and screening rates. Each fellow took with them an action plan tailored to their clinic to improve fall risk management practices, starting with the fellow’s own practice.

Fall Risk Management Plan

The educational sessions introduced the fellows to the FRMP. The FRMP, adapted from the STEADI toolkit, includes a process for fall risk screening (Figure 1) and stratifying a patient’s risk based on their STEADI score in order to promote 3 priority assessments (gait evaluation with PT referral if appropriate; orthostatic blood pressure; and high-risk medication review; Figure 2). Initial actions based on these priority assessments were followed over time, with additional fall risk interventions added as clinically indicated.²⁵ The FRMP is intended to be used during routine office visits, Medicare annual wellness visits, or office visits focused on fall risk or related medical disorders (ie, fall risk visits.)

Providers and their teams were encouraged to spread out fall-related conversations with their patients over multiple visits, since many patients have multiple fall risk factors at play, in addition to other chronic medical issues, and since many interventions often require behavior changes on the part of the patient. Providers also had access to fall-related electronic health record (EHR) templates as well as a comprehensive, internal fall risk management website that included assessment tools, evidence-based resources, and patient handouts.

Assessment and Measurements

We assessed provider knowledge and comfort in their fall risk evaluation and management skills before and after the educational intervention using an 11-item multiple-choice questionnaire and a 4-item confidence questionnaire. The confidence questions used a 7-point Likert scale, with 0 indicating “no confidence” and 7 indicating ”lots of confidence.” The questions were administered via a paper survey. Qualitative comments were derived from evaluations completed at the end of the week.

The fellows’ practice of fall risk screening and management was studied from May 2018, at the completion of Mobility week, to May 2019 for the post-intervention period. A 1-year timeframe before May 2018 was used as the pre-intervention period. Eligible visit types, during which we assumed fall risk was discussed, were any office visits for patients 65+ completed by the patients’ PCPs that used fall risk as a reason for the visit or had a fall-related diagnosis code. Fall risk visits performed by other clinic providers were not counted.

Of those patients who had fall risk screenings completed and were determined to be high risk (STEADI score ≥ 4), data were analyzed to determine whether these patients had any fall-related follow-up visits to their PCP within 60 days of the STEADI screening. For these high-risk patients, data were studied to understand whether orthostatic blood pressure measurements were performed (as documented in a flowsheet) and whether a PT referral was placed. These data were compared with those from providers who practiced in clinics within the same system but who did not participate in the mini-fellowship. Data were obtained from the organization’s EHR. Additional data were measured to evaluate patterns of deprescribing of select high-risk medications, but these data are not included in this analysis.

Analysis

A paired-samples t test was used to measure changes in provider confidence levels. Data were aggregated across fellows, resulting in a mean. A chi-square test of independence was performed to examine the relationship between rates of FRMP adoption by select provider groups. Analysis included a pre- and post-intervention assessment of the fellows’ adoption of FRMP practices, as well as a comparison between the fellows’ practice patterns and those of a control group of PCPs in the organization’s other clinics who did not participate in the mini-fellowship (nontrained control group). Excluded from the control group were providers from the same clinic as the fellows; providers in clinics with a geriatric-trained provider on staff; and clinics outside of the Portland metro and Medford service areas. We used an alpha level of 0.05 for all statistical tests.

Data from 5 providers were included in the analysis of the FRMP adoption. The sixth provider changed practice settings from the clinic to the ED after completing the fellowship; her patient data were not included in the FRMP part of the analysis. EHR data included data on all visits of patients 65+, as well as data for just those 65+ patients who had been identified as being at high risk to fall based on a STEADI score of 4 or higher.

Results

Provider Questionnaire

All 6 providers responded to the pre-intervention and post-intervention tests. For the knowledge questions, fellows, as a composite, correctly answered 57% of the questions before the intervention and 79% after the intervention. Provider confidence level in delivering fall risk care was measured prior to the training (mean, 4.12 [SD, 0.62]) and at the end of the training (mean, 6.47 [SD, 0.45]), demonstrating a significant increase in confidence (t (5) = –10.46, P < 0.001).

Qualitative Comments

Providers also had the opportunity to provide comments on their experience during the Mobility week and at the end of 1 year. In general, the simulated interdisciplinary fall risk clinic was highly rated (“the highlight of the week”) as a practical strategy to embed learning principles. One fellow commented, “Putting the learning into practice helps solidify it in my brain.” Fellows also appreciated the opportunity to learn and meet with their clinic colleagues to begin work on a fall-risk focused PIP and to “have a framework for what to do for people who screen positive [for fall risk].”

FRMP Adoption

A comparison of the care the fellows provided to their patients 65+ in the 12 months pre- and post-training shows the fellows demonstrated significant changes in practice patterns. The fellows were 1.7 times more likely to screen for fall risk; 3.6 times more likely to discuss fall risk; and 5.8 times more likely to check orthostatic blood pressure than prior to the mini-fellowship (Table 1).

The control providers also demonstrated significant increases in fall risk screening and discussion of fall risk between the pre- and post-intervention periods; however, the relative risk (RR) was between 1.10 and 1.13 for this group. For the control group, checking orthostatic blood pressure did not significantly change. In the 12 months after training (Table 2), the fellows were 4.2 times more likely to discuss fall risk and almost 5 times more likely to check orthostatic blood pressure than their nontrained peers for all of their patients 65+, regardless of their risk to fall.

As shown in Table 3, for those patients determined to be at high risk of falling (STEADI score ≥ 4), fellows showed statistically significant increases in fall risk visits (RR, 3.02) and assessment of orthostatic blood pressure (RR, 10.68) before and after the mini-fellowship. The control providers did not show any changes in practice patterns between the pre- and post-period among patients at high risk to fall.

Neither the fellows nor the control group showed changes in patterns of referral to PT. In comparing the 2 groups in the 12 months after training (Table 4), for their patients at risk of falling, the fellows were 4 times more likely to complete fall risk visits and over 6 times more likely to assess orthostatic blood pressure than their nontrained peers. Subgroup analysis of the 75+ population revealed similar trends and significance, but these results are not included here.

Discussion

This study aimed to improve not only providers’ knowledge and confidence in caring for older adults at increased risk to fall, but also their clinical practice in assessing and managing fall risk. In addition to improved knowledge and confidence, we found that the fellows increased their discussion of fall risk (through fall risk visits) and their assessment of orthostatic blood pressure for all of their patients, not just for those identified at increased risk to fall. This improvement held true for the fellows themselves before and after the intervention, but also as compared to their nontrained peers. These practice improvements for all of their 65+ patients, not just those identified as being at high risk to fall, are especially important, since studies indicate that early screening and intervention can help identify people at risk and prevent future falls.¹⁵

We were surprised that there were no significant differences in PT referrals made by the trained fellows, but this finding may have been confounded by the fact that the data included all PT referrals, regardless of diagnosis, not just those referrals that were fall-related. Furthermore, our baseline PT referral rates, at 39% for the intervention group and 42% for the control group, are higher than national data when looking at rehabilitation use by older adults.²⁶

In comparison to a study evaluating the occurrence of fall risk–related clinical practice in primary care before any fall-related educational intervention, orthostatics were checked less frequently in our study (10% versus 30%) and there were fewer PT referrals (42%–44% versus 53%).²⁷ However, the Phelan study took place in patients who had actually had a fall, rather than just having a higher risk for a fall, and was based on detailed chart review. Other studies^23,24 found higher rates of fall risk interventions, but did not break out PT referrals specifically.

In terms of the educational intervention itself, most studies of geriatric education interventions have measured changes in knowledge, confidence, or self-efficacy as they relate to geriatric competence,^28-30 and do not measure practice change as an outcome outside of intent to change or self-reported practice change.^31,32 In general, practice change or longer-term health care–related outcomes have not been studied. Additionally, a range of dosages of educational interventions has been studied, from 1-hour lunchtime presentations^23,32 to half-day²⁹ or several half-day workshops,²⁸ up to 160 hours over 10 months³⁰ or 5 weekends over 6 months.³¹ The duration of our entire intervention at 160 hours over 6 months would be considered on the upper end of dosing relative to these studies, with our Mobility week intervention comprising 32 hours during 1 week. In the Warshaw study, despite 107 1-hour sessions being taught to over 60 physicians in 16 practices over 4 years, only 2 practices ultimately initiated any practice change projects.³² We believe that only curricula that embed practice change skills and opportunities, at a significant enough dose, can actually impact practice change in a sustainable manner.

Knowledge and skill acquisition among individual providers does not take place to a sufficient degree in the current health care arena, which is focused on productivity and short visit times. Consistent with other studies, we included interdisciplinary members of the primary care team for part of the mini-fellowship, although other studies used models that train across disciplines for the entirety of the learning experience.^28-30,33 Our educational model was strengthened by including other professionals to provide some of the education and model the ideal geriatric team, including PT, occupational therapy, and pharmacy, for the week on mobility.

Most studies exploring interventions through geriatric educational initiatives are conducted within academic institutions, with a primary focus on physician faculty and, by extension, their teaching of residents and others.^34,35 We believe our integrated model, which is steeped in community-based primary care practices like Lam’s,³¹ offers the greatest outreach to large community-based care systems and their patients. Training providers to work with their teams to change their own practices first gives skills and expertise that help further establish them as geriatric champions within their practices, laying the groundwork for more widespread practice change at their clinics.

Limitations

In addition to the limitations described above relating to the capture of PT referrals, other limitations included the relatively short time period for follow-up data as well as the small size of the intervention group. However, we found value in the instructional depth that the small group size allowed.

While the nontrained providers did show some improvement during the same period, we believe the relative risk was not clinically significant. We suspect that the larger health system efforts to standardize screening of patients 65+ across all clinics as a core quality metric confounded these results. The data analysis also included only fall-related patient visits that occurred with a provider who was that patient’s PCP, which could have missed visits done by other PCP colleagues, RNs, or pharmacists in the same clinic, thus undercounting the true number of fall-related visits. Furthermore, counting of fall-related interventions relied upon providers documenting consistently in the EHR, which could also lead to under-represention of fall risk clinical efforts.

The data presented, while encouraging, do not reflect clinic-wide practice change patterns and are considered only proximate outcomes rather than more long-term or cost-related outcomes, as would be captured by fall-related utilization measures like emergency room visits and hospitalizations. We expect to evaluate the broader impact and these value-based outcomes in the future. All providers and teams were from the same health care system, which may not allow our results to transfer to other organizations or regions of clinical practice.

Summary

This study demonstrates that an intensive mini-fellowship model of geriatrics training improved both knowledge and confidence in the realm of fall risk assessment and intervention among PCPs who had not been formally trained in geriatrics. More importantly, the training improved the fall-related care of their patients at increased risk to fall, but also of all of their older patients, with improvements in care measured up to a year after the mini-fellowship. Although this article only describes the work done as part of the Mobility aim of the 4M AFHS model, we believe the entire mini-fellowship curriculum offers the opportunity to “geriatricize” clinicians and their teams in learning geriatric principles and skills that they can translate into their practice in a sustainable way, as Tinetti encourages.⁸ Future study to evaluate other process outcomes more precisely, such as PT, as well as cost- and value-based outcomes, and the influence of trained providers on their clinic partners, will further establish the value proposition of targeted, disseminated, intensive geriatrics training of primary care clinicians as a strategy of age-friendly health systems as they work to improve the care of their older adults.

Acknowledgment: We are grateful for the dedication and hard work of the 2018 Geriatric Mini-Fellowship fellows at Providence Health & Services-Oregon who made this article possible. Thanks to Drs. Stephanie Cha, Emily Puukka-Clark, Laurie Dutkiewicz, Cara Ellis, Deb Frost, Jordan Roth, and Subhechchha Shah for promoting the AFHS work within their Providence Medical Group clinics and to PMG leadership and the fellows’ clinical teams for supporting the fellows, the AFHS work, and their older patients.

Corresponding author: Colleen M. Casey, PhD, ANP-BC, Providence Health & Services, Senior Health Program, 4400 NE Halsey, 5th Floor, Portland, OR 97213; [email protected].

Financial disclosures: None.

From the Senior Health Program, Providence Health & Services, Oregon, Portland, OR.

Abstract

Background: Approximately 51 million adults in the United States are 65 years of age or older, yet few geriatric-trained primary care providers (PCP) serve this population. The Age-Friendly Health System framework, consisting of evidence-based 4M care (Mobility, Medication, Mentation, and what Matters), encourages all PCPs to assess mobility in older adults.

Objective: To improve PCP knowledge, confidence, and clinical practice in assessing and managing fall risk.

Methods: A 1-week educational session focusing on mobility (part of a 4-week Geriatric Mini-Fellowship) for 6 selected PCPs from a large health care system was conducted to increase knowledge and ability to address fall risk in older adults. The week included learning and practicing a Fall Risk Management Plan (FRMP) algorithm, including planning for their own practice changes. Pre- and post-test surveys assessed changes in knowledge and confidence. Patient data were compared 12 months before and after training to evaluate PCP adoption of FRMP components.

Results: The training increased provider knowledge and confidence. The trained PCPs were 1.7 times more likely to screen for fall risk; 3.6 times more likely to discuss fall risk; and 5.8 times more likely to assess orthostatic blood pressure in their 65+ patients after the mini-fellowship. In high-risk patients, they were 4.1 times more likely to discuss fall risk and 6.3 times more likely to assess orthostatic blood pressure than their nontrained peers. Changes in physical therapy referral rates were not observed.

Conclusions: In-depth, skills-based geriatric educational sessions improved PCPs’ knowledge and confidence and also improved their fall risk management practices for their older patients.

Keywords: geriatrics; guidelines; Age-Friendly Health System; 4M; workforce training; practice change; fellowship.

The US population is aging rapidly. People aged 85 years and older are the largest-growing segment of the US population, and this segment is expected to increase by 123% by 2040.¹ Caregiving needs increase with age as older adults develop more chronic conditions, such as hypertension, heart disease, arthritis, and dementia. However, even with increasing morbidity and dependence, a majority of older adults still live in the community rather than in institutional settings.² These older adults seek medical care more frequently than younger people, with about 22% of patients 75 years and older having 10 or more health care visits in the previous 12 months. By 2040, nearly a quarter of the US population is expected to be 65 or older, with many of these older adults seeking regular primary care from providers who do not have formal training in the care of a population with multiple complex, chronic health conditions and increased caregiving needs.¹

Despite this growing demand for health care professionals trained in the care of older adults, access to these types of clinicians is limited. In 2018, there were roughly 7000 certified geriatricians, with only 3600 of them practicing full-time.^3,4 Similarly, of 290,000 certified nurse practitioners (NPs), about 9% of them have geriatric certification.⁵ Geriatricians, medical doctors trained in the care of older adults, and geriatric-trained NPs are part of a cadre of a geriatric-trained workforce that provides unique expertise in caring for older adults with chronic and advanced illness. They know how to manage multiple, complex geriatric syndromes like falls, dementia, and polypharmacy; understand and maximize team-based care; and focus on caring for an older person with a goal-centered versus a disease-centered approach.⁶

Broadly, geriatric care includes a spectrum of adults, from those who are aging healthfully to those who are the frailest. Research has suggested that approximately 30% of older adults need care by a geriatric-trained clinician, with the oldest and frailest patients needing more clinician time for assessment and treatment, care coordination, and coaching of caregivers.⁷ With this assumption in mind, it is projected that by 2025, there will be a national shortage of 26,980 geriatricians, with the western United States disproportionately affected by this shortage.⁴Rather than lamenting this shortage, Tinetti recommends a new path forward: “Our mission should not be to train enough geriatricians to provide direct care, but rather to ensure that every clinician caring for older adults is competent in geriatric principles and practices.”⁸ Sometimes called ”geriatricizing,” the idea is to use existing geriatric providers as a small elite training force to infuse geriatric principles and skills across their colleagues in primary care and other disciplines.^8,9 Efforts of the American Geriatrics Society (AGS), with support from the John A. Hartford Foundation (JAHF), have been successful in developing geriatric training across multiple specialties, including surgery, orthopedics, and emergency medicine (www.americangeriatrics.org/programs/geriatrics-specialists-initiative).

The Age-Friendly Health System and 4M Model

To help augment this idea of equipping health care systems and their clinicians with more readily available geriatric knowledge, skills, and tools, the JAHF, along with the Institute for Healthcare Improvement (IHI), created the Age-Friendly Health System (AFHS) paradigm in 2015.¹⁰ Using the 4M model, the AFHS initiative established a set of evidence-based geriatric priorities and interventions meant to improve the care of older adults, reduce harm and duplication, and provide a framework for engaging leadership, clinical teams, and operational systems across inpatient and ambulatory settings.¹¹ Mobility, including fall risk screening and intervention, is 1 of the 4M foundational elements of the Age-Friendly model. In addition to Mobility, the 4M model also includes 3 other key geriatric domains: Mentation (dementia, depression, and delirium), Medication (high-risk medications, polypharmacy, and deprescribing), and What Matters (goals of care conversations and understanding quality of life for older patients).¹¹ The 4M initiative encourages adoption of a geriatric lens that looks across chronic conditions and accounts for the interplay among geriatric syndromes, such as falls, cognitive impairment, and frailty, in order to provide care better tailored to what the patient needs and desires.¹² IHI and JAHF have targeted the adoption of the 4M model by 20% of US health care systems by 2020.¹¹

Mini-Fellowship and Mobility Week

To bolster geriatric skills among community-based primary care providers (PCPs), we initiated a Geriatric Mini-Fellowship, a 4-week condensed curriculum taught over 6 months. Each week focuses on 1 of the age-friendly 4Ms, with the goal of increasing the knowledge, self-efficacy, skills, and competencies of the participating PCPs (called “fellow” hereafter) and at the same time, equipping each to become a champion of geriatric practice. This article focuses on the Mobility week, the second week of the mini-fellowship, and the effect of the week on the fellows’ practice changes.

To construct the Mobility week’s curriculum with a focus on the ambulatory setting, we relied upon national evidence-based work in fall risk management. The Centers for Disease Control and Prevention (CDC) has made fall risk screening and management in primary care a high priority. Using the clinical practice guidelines for managing fall risk developed by the American and British Geriatrics Societies (AGS/BGS), the CDC developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) toolkit.¹³ Foundational to the toolkit is the validated 12-item Stay Independent falls screening questionnaire (STEADI questionnaire).¹⁴ Patients who score 4 or higher (out of a total score of 14) on the questionnaire are considered at increased risk of falling. The CDC has developed a clinical algorithm that guides clinical teams through screening and assessment to help identify appropriate interventions to target specific risk factors. Research has clearly established that a multifactorial approach to fall risk intervention can be successful in reducing fall risk by as much as 25%.^15-17

The significant morbidity and mortality caused by falls make training nongeriatrician clinicians on how to better address fall risk imperative. More than 25% of older adults fall each year.¹⁸ These falls contribute to rising rates of fall-related deaths,¹⁹ emergency department (ED) visits,²⁰ and hospital readmissions.²¹ Initiatives like the AFHS focus on mobility and the CDC’s development of supporting clinical materials²² aim to improve primary care adoption of fall risk screening and intervention practices.^23,24 The epidemic of falls must compel all PCPs, not just those practicing geriatrics, to make discussing and addressing fall risk and falls a priority.

Methods

Setting

This project took place as part of a regional primary care effort in Oregon. Providence Health & Services-Oregon is part of a multi-state integrated health care system in the western United States whose PCPs serve more than 80,000 patients aged 65 years and older per year; these patients comprise 38% of the system’s office visits each year. Regionally, there are 47 family and internal medicine clinics employing roughly 290 providers (physicians, NPs, and physician assistants). The organization has only 4 PCPs trained in geriatrics and does not offer any geriatric clinical consultation services. Six PCPs from different clinics, representing both rural and urban settings, are chosen to participate in the geriatric mini-fellowship each year.

This project was conducted as a quality improvement initiative within the organization and did not constitute human subjects research. It was not conducted under the oversight of the Institutional Review Board.

Intervention

The mini-fellowship was taught in 4 1-week blocks between April and October 2018, with a curriculum designed to be interactive and practical. The faculty was intentionally interdisciplinary to teach and model team-based practice. Each week participants were excused from their clinical practice. Approximately 160 hours of continuing medical education credits were awarded for the full mini-fellowship. As part of each weekly session, a performance improvement project (PIP) focused on that week’s topic (1 of the 4Ms) was developed by the fellow and their team members to incorporate the mini-fellowship learnings into their clinic workflows. Fellows also had 2 hours per week of dedicated administration time for a year, outside the fellowship, to work on their PIP and 4M practice changes within their clinic.

Provider Education

The week for mobility training comprised 4 daylong sessions. The first 2 days were spent learning about the epidemiology of falls; risk factors for falling; how to conduct a thorough history and assessment of fall risk; and how to create a prioritized Fall Risk Management Plan (FRMP) to decrease a patient’s individual fall risk through tailored interventions. The FRMP was adapted from the CDC STEADI toolkit.¹³ Core faculty were 2 geriatric-trained providers (NP and physician) and a physical therapist (PT) specializing in fall prevention.

On the third day, fellows took part in a simulated fall risk clinic, in which older adults volunteered to be patient partners, providing an opportunity to apply learnings from days 1 and 2. The clinic included the fellow observing a PT complete a mobility assessment and a pharmacist conduct a high-risk medication review. The fellow synthesized the findings of the mobility assessment and medication review, as well as their own history and assessment, to create a summary of fall risk recommendations to discuss with their volunteer patient partner. The fellows were observed and evaluated in their skills by their patient partner, course faculty, and another fellow. The patient partners, and their assigned fellow, also participated in a 45-minute fall risk presentation, led by a nurse.

On the fourth day, the fellows were joined by select clinic partners, including nurses, pharmacists, and/or medical assistants. The session included discussions among each fellow’s clinical team regarding the current state of fall risk efforts at their clinic, an analysis of barriers, and identification of opportunities to improve workflows and screening rates. Each fellow took with them an action plan tailored to their clinic to improve fall risk management practices, starting with the fellow’s own practice.

Fall Risk Management Plan

The educational sessions introduced the fellows to the FRMP. The FRMP, adapted from the STEADI toolkit, includes a process for fall risk screening (Figure 1) and stratifying a patient’s risk based on their STEADI score in order to promote 3 priority assessments (gait evaluation with PT referral if appropriate; orthostatic blood pressure; and high-risk medication review; Figure 2). Initial actions based on these priority assessments were followed over time, with additional fall risk interventions added as clinically indicated.²⁵ The FRMP is intended to be used during routine office visits, Medicare annual wellness visits, or office visits focused on fall risk or related medical disorders (ie, fall risk visits.)

Providers and their teams were encouraged to spread out fall-related conversations with their patients over multiple visits, since many patients have multiple fall risk factors at play, in addition to other chronic medical issues, and since many interventions often require behavior changes on the part of the patient. Providers also had access to fall-related electronic health record (EHR) templates as well as a comprehensive, internal fall risk management website that included assessment tools, evidence-based resources, and patient handouts.

Assessment and Measurements

We assessed provider knowledge and comfort in their fall risk evaluation and management skills before and after the educational intervention using an 11-item multiple-choice questionnaire and a 4-item confidence questionnaire. The confidence questions used a 7-point Likert scale, with 0 indicating “no confidence” and 7 indicating ”lots of confidence.” The questions were administered via a paper survey. Qualitative comments were derived from evaluations completed at the end of the week.

The fellows’ practice of fall risk screening and management was studied from May 2018, at the completion of Mobility week, to May 2019 for the post-intervention period. A 1-year timeframe before May 2018 was used as the pre-intervention period. Eligible visit types, during which we assumed fall risk was discussed, were any office visits for patients 65+ completed by the patients’ PCPs that used fall risk as a reason for the visit or had a fall-related diagnosis code. Fall risk visits performed by other clinic providers were not counted.

Of those patients who had fall risk screenings completed and were determined to be high risk (STEADI score ≥ 4), data were analyzed to determine whether these patients had any fall-related follow-up visits to their PCP within 60 days of the STEADI screening. For these high-risk patients, data were studied to understand whether orthostatic blood pressure measurements were performed (as documented in a flowsheet) and whether a PT referral was placed. These data were compared with those from providers who practiced in clinics within the same system but who did not participate in the mini-fellowship. Data were obtained from the organization’s EHR. Additional data were measured to evaluate patterns of deprescribing of select high-risk medications, but these data are not included in this analysis.

Analysis

A paired-samples t test was used to measure changes in provider confidence levels. Data were aggregated across fellows, resulting in a mean. A chi-square test of independence was performed to examine the relationship between rates of FRMP adoption by select provider groups. Analysis included a pre- and post-intervention assessment of the fellows’ adoption of FRMP practices, as well as a comparison between the fellows’ practice patterns and those of a control group of PCPs in the organization’s other clinics who did not participate in the mini-fellowship (nontrained control group). Excluded from the control group were providers from the same clinic as the fellows; providers in clinics with a geriatric-trained provider on staff; and clinics outside of the Portland metro and Medford service areas. We used an alpha level of 0.05 for all statistical tests.

Data from 5 providers were included in the analysis of the FRMP adoption. The sixth provider changed practice settings from the clinic to the ED after completing the fellowship; her patient data were not included in the FRMP part of the analysis. EHR data included data on all visits of patients 65+, as well as data for just those 65+ patients who had been identified as being at high risk to fall based on a STEADI score of 4 or higher.

Results

Provider Questionnaire

All 6 providers responded to the pre-intervention and post-intervention tests. For the knowledge questions, fellows, as a composite, correctly answered 57% of the questions before the intervention and 79% after the intervention. Provider confidence level in delivering fall risk care was measured prior to the training (mean, 4.12 [SD, 0.62]) and at the end of the training (mean, 6.47 [SD, 0.45]), demonstrating a significant increase in confidence (t (5) = –10.46, P < 0.001).

Qualitative Comments

Providers also had the opportunity to provide comments on their experience during the Mobility week and at the end of 1 year. In general, the simulated interdisciplinary fall risk clinic was highly rated (“the highlight of the week”) as a practical strategy to embed learning principles. One fellow commented, “Putting the learning into practice helps solidify it in my brain.” Fellows also appreciated the opportunity to learn and meet with their clinic colleagues to begin work on a fall-risk focused PIP and to “have a framework for what to do for people who screen positive [for fall risk].”

FRMP Adoption

A comparison of the care the fellows provided to their patients 65+ in the 12 months pre- and post-training shows the fellows demonstrated significant changes in practice patterns. The fellows were 1.7 times more likely to screen for fall risk; 3.6 times more likely to discuss fall risk; and 5.8 times more likely to check orthostatic blood pressure than prior to the mini-fellowship (Table 1).

The control providers also demonstrated significant increases in fall risk screening and discussion of fall risk between the pre- and post-intervention periods; however, the relative risk (RR) was between 1.10 and 1.13 for this group. For the control group, checking orthostatic blood pressure did not significantly change. In the 12 months after training (Table 2), the fellows were 4.2 times more likely to discuss fall risk and almost 5 times more likely to check orthostatic blood pressure than their nontrained peers for all of their patients 65+, regardless of their risk to fall.

As shown in Table 3, for those patients determined to be at high risk of falling (STEADI score ≥ 4), fellows showed statistically significant increases in fall risk visits (RR, 3.02) and assessment of orthostatic blood pressure (RR, 10.68) before and after the mini-fellowship. The control providers did not show any changes in practice patterns between the pre- and post-period among patients at high risk to fall.

Neither the fellows nor the control group showed changes in patterns of referral to PT. In comparing the 2 groups in the 12 months after training (Table 4), for their patients at risk of falling, the fellows were 4 times more likely to complete fall risk visits and over 6 times more likely to assess orthostatic blood pressure than their nontrained peers. Subgroup analysis of the 75+ population revealed similar trends and significance, but these results are not included here.

Discussion

This study aimed to improve not only providers’ knowledge and confidence in caring for older adults at increased risk to fall, but also their clinical practice in assessing and managing fall risk. In addition to improved knowledge and confidence, we found that the fellows increased their discussion of fall risk (through fall risk visits) and their assessment of orthostatic blood pressure for all of their patients, not just for those identified at increased risk to fall. This improvement held true for the fellows themselves before and after the intervention, but also as compared to their nontrained peers. These practice improvements for all of their 65+ patients, not just those identified as being at high risk to fall, are especially important, since studies indicate that early screening and intervention can help identify people at risk and prevent future falls.¹⁵

We were surprised that there were no significant differences in PT referrals made by the trained fellows, but this finding may have been confounded by the fact that the data included all PT referrals, regardless of diagnosis, not just those referrals that were fall-related. Furthermore, our baseline PT referral rates, at 39% for the intervention group and 42% for the control group, are higher than national data when looking at rehabilitation use by older adults.²⁶

In comparison to a study evaluating the occurrence of fall risk–related clinical practice in primary care before any fall-related educational intervention, orthostatics were checked less frequently in our study (10% versus 30%) and there were fewer PT referrals (42%–44% versus 53%).²⁷ However, the Phelan study took place in patients who had actually had a fall, rather than just having a higher risk for a fall, and was based on detailed chart review. Other studies^23,24 found higher rates of fall risk interventions, but did not break out PT referrals specifically.

In terms of the educational intervention itself, most studies of geriatric education interventions have measured changes in knowledge, confidence, or self-efficacy as they relate to geriatric competence,^28-30 and do not measure practice change as an outcome outside of intent to change or self-reported practice change.^31,32 In general, practice change or longer-term health care–related outcomes have not been studied. Additionally, a range of dosages of educational interventions has been studied, from 1-hour lunchtime presentations^23,32 to half-day²⁹ or several half-day workshops,²⁸ up to 160 hours over 10 months³⁰ or 5 weekends over 6 months.³¹ The duration of our entire intervention at 160 hours over 6 months would be considered on the upper end of dosing relative to these studies, with our Mobility week intervention comprising 32 hours during 1 week. In the Warshaw study, despite 107 1-hour sessions being taught to over 60 physicians in 16 practices over 4 years, only 2 practices ultimately initiated any practice change projects.³² We believe that only curricula that embed practice change skills and opportunities, at a significant enough dose, can actually impact practice change in a sustainable manner.

Knowledge and skill acquisition among individual providers does not take place to a sufficient degree in the current health care arena, which is focused on productivity and short visit times. Consistent with other studies, we included interdisciplinary members of the primary care team for part of the mini-fellowship, although other studies used models that train across disciplines for the entirety of the learning experience.^28-30,33 Our educational model was strengthened by including other professionals to provide some of the education and model the ideal geriatric team, including PT, occupational therapy, and pharmacy, for the week on mobility.

Most studies exploring interventions through geriatric educational initiatives are conducted within academic institutions, with a primary focus on physician faculty and, by extension, their teaching of residents and others.^34,35 We believe our integrated model, which is steeped in community-based primary care practices like Lam’s,³¹ offers the greatest outreach to large community-based care systems and their patients. Training providers to work with their teams to change their own practices first gives skills and expertise that help further establish them as geriatric champions within their practices, laying the groundwork for more widespread practice change at their clinics.

Limitations

In addition to the limitations described above relating to the capture of PT referrals, other limitations included the relatively short time period for follow-up data as well as the small size of the intervention group. However, we found value in the instructional depth that the small group size allowed.

While the nontrained providers did show some improvement during the same period, we believe the relative risk was not clinically significant. We suspect that the larger health system efforts to standardize screening of patients 65+ across all clinics as a core quality metric confounded these results. The data analysis also included only fall-related patient visits that occurred with a provider who was that patient’s PCP, which could have missed visits done by other PCP colleagues, RNs, or pharmacists in the same clinic, thus undercounting the true number of fall-related visits. Furthermore, counting of fall-related interventions relied upon providers documenting consistently in the EHR, which could also lead to under-represention of fall risk clinical efforts.

The data presented, while encouraging, do not reflect clinic-wide practice change patterns and are considered only proximate outcomes rather than more long-term or cost-related outcomes, as would be captured by fall-related utilization measures like emergency room visits and hospitalizations. We expect to evaluate the broader impact and these value-based outcomes in the future. All providers and teams were from the same health care system, which may not allow our results to transfer to other organizations or regions of clinical practice.

Summary

This study demonstrates that an intensive mini-fellowship model of geriatrics training improved both knowledge and confidence in the realm of fall risk assessment and intervention among PCPs who had not been formally trained in geriatrics. More importantly, the training improved the fall-related care of their patients at increased risk to fall, but also of all of their older patients, with improvements in care measured up to a year after the mini-fellowship. Although this article only describes the work done as part of the Mobility aim of the 4M AFHS model, we believe the entire mini-fellowship curriculum offers the opportunity to “geriatricize” clinicians and their teams in learning geriatric principles and skills that they can translate into their practice in a sustainable way, as Tinetti encourages.⁸ Future study to evaluate other process outcomes more precisely, such as PT, as well as cost- and value-based outcomes, and the influence of trained providers on their clinic partners, will further establish the value proposition of targeted, disseminated, intensive geriatrics training of primary care clinicians as a strategy of age-friendly health systems as they work to improve the care of their older adults.

Acknowledgment: We are grateful for the dedication and hard work of the 2018 Geriatric Mini-Fellowship fellows at Providence Health & Services-Oregon who made this article possible. Thanks to Drs. Stephanie Cha, Emily Puukka-Clark, Laurie Dutkiewicz, Cara Ellis, Deb Frost, Jordan Roth, and Subhechchha Shah for promoting the AFHS work within their Providence Medical Group clinics and to PMG leadership and the fellows’ clinical teams for supporting the fellows, the AFHS work, and their older patients.

Corresponding author: Colleen M. Casey, PhD, ANP-BC, Providence Health & Services, Senior Health Program, 4400 NE Halsey, 5th Floor, Portland, OR 97213; [email protected].

Financial disclosures: None.

The more time older women spent sitting or lying down, the more likely their risk of hospitalization for heart failure, based on data from more than 80,000 postmenopausal women.

Cecilie_Arcurs/E+

The 2018 Physical Activity Guidelines show evidence of the impact of physical activity on reducing heart failure risk, but the association between activity, sedentary behavior (SB) and heart failure (HF) in older women in particular has not been well studied, wrote Michael J. LaMonte, PhD, MPH, of the State University of New York at Buffalo, and colleagues in a study published in Circulation: Heart Failure. “Given the high prevalence of prolonged sedentary time among U.S. adults aged 65 and older, among whom HF burden is substantial, understanding the role SB has in HF development is relevant to future HF prevention strategies,” the researchers wrote.

The researchers identified 80,982 women aged 50-79 years who were enrolled in the Women’s Health Initiative Observational Study, had no known HF, and could walk at least one block unassisted. The average follow-up period was 9 years, and a total of 1,402 women were hospitalized for heart failure during the period of time they were observed.

The time spent sedentary (combined sitting or lying down) was divided into tertiles of 6.5 hours or less, 6.6-9.5 hours, and more than 9.5 hours. Time spent sitting was divided into tertiles of 4.5 hours or less; 4.6-8.5 hours; and more than 8.5 hours.
 

Heart failure risk goes up with more down time

After controlling for multiple variables including age, race, education, income, smoking status alcohol use, menopausal hormone therapy, and hysterectomy status, the researchers found that patients in the second tertile for sedentary behavior had a significantly increased heart failure risk than patients in the first tertile for sedentary behavior. This risk was even greater for patients falling in the third tertile for sedentary behavior. Odds ratios were 1.00 (referent), 1.15, and 1.42 for the lowest to highest tertiles for total sedentary behavior, respectively, and 1.00 (referent), 1.14, and 1.54 for sitting (P < .001 for both total sedentary behavior and sitting only).

The trends remained significant after controlling for comorbidities including MI and coronary revascularization, and the associations were similar among categories of women with additional HF risk factors, including body mass index, diabetes, hypertension, and coronary heart disease.

Notably, the association between hours spent sitting or lying down and HF risk persisted even in women who met recommended activity levels, the researchers wrote.

The study findings were limited by the use of self-reports and by the inability to evaluate SB patterns or SB and HF subtypes, the researchers noted. However, the results were strengthened by the large sample size, use of time-varying SB exposure, and extensive controlling, and the data support the risk of increased SB on adverse cardiovascular outcomes.

“Results of this study underscore the need for effective strategies to reduce daily SB time, in addition to increasing recreational physical activity, as part of population efforts for HF prevention,” they concluded.

Clinicians know the value of a physically active lifestyle for heart health, said lead author Dr. LaMonte in a statement accompanying the study’s release. “However, our study clearly shows that we also need to increase efforts to reduce daily sedentary time and encourage adults to frequently interrupt their sedentary time. This does not necessarily require an extended bout of physical activity; it might simply be standing up for 5 minutes or standing and moving one’s feet in place.

“We do not have sufficient evidence on the best approach to recommend for interrupting sedentary time. However, accumulating data suggest that habitual activities such as steps taken during household and other activities of daily living are an important aspect of cardiovascular disease prevention and healthy aging,” Dr. LaMonte added.
 

Promote more movement and less sitting

“This is the first study to assess sedentary time and the risk for incident heart failure hospitalization in postmenopausal women,” said Robert H. Hopkins Jr., MD, of the University of Arkansas for Medical Sciences, Little Rock, in an interview.

“Heart failure is the cause of approximately 35% of cardiovascular mortalities in women, and sedentary behaviors are common in older adults,” he noted.

Kashif J. Piracha, MD, of Houston Methodist Willowbrook Hospital, agreed that there is a lack of existing data looking at the relationship between sedentary behavior and the risk of the development of heart failure in postmenopausal women. In an interview, he cited this as a reason “it was important to conduct this study.”

Dr. Hopkins added that he was not surprised by the study results “There are a number of studies which have demonstrated reduction in risk for heart failure in men and in combined populations of men and women with increased physical activity.” There are fewer data (but similar outcomes) in studies of men with increased levels of sedentary behaviors, he said.

“This study adds one more reason that other clinicians in primary care and me need to encourage our older patients to get up and move,” said Dr. Hopkins, who also serves on the editorial advisory board of Internal Medicine News. “Many of us have focused our efforts in the past on achieving exercise goals and this study provides a foundation for a recommendation that ‘it is not just about exercise;’ we need to also encourage our patients to minimize their time in sedentary pursuits in addition to exercise if we are to optimize their health into older age.”

Dr. Hopkins noted that the large size of the study was a strength, but the observational design and use of patient surveys were limitations.

“We need further studies to better tease out whether there are risk differences in different sedentary behavior patterns, whether this applies across heart failure with reduced ejection fraction versus heart failure with preserved ejection fraction, and whether there are additional ways we can mitigate these risks as our society ages,” he said.
 

Findings differ from California Men’s Health Study’s

“The results corroborate the fact that there is less risk of heart failure in physically active patients,” Dr. Piracha noted.

The message for clinicians is to encourage postmenopausal female patients to engage in physical activity as much as possible, said Dr. Piracha. “Also, it appears that in this population, even with good physical activity, prolonged sedentary behavior of more than 8.5 hours a day was still associated with a higher risk of incident HF hospitalization. Therefore, a case can be made to focus on carrying out physical activity with an intensity that can be sustained for longer, rather than shorter periods of time.”

Notably, the finding of increased HF hospitalization in women who reported high amounts of physical activity but were still sedentary for more than 8.5 hours a day “is contrary to what was seen in the California Men’s Health Study.” In that study, “men with high physical activity levels who also had prolonged sitting time did not have increased risk of HF hospitalization,” Dr. Piracha noted. “Further research is needed to elucidate what hormonal or other factors contribute to this difference.”

The new study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. Dr. Hopkins and Dr. Piracha had no financial conflicts to disclose.

SOURCE: LaMonte MJ et al. Circ Heart Fail. 2020 Nov 24. doi: 10.1161/CIRCHEARTFAILURE.120.007508.

The more time older women spent sitting or lying down, the more likely their risk of hospitalization for heart failure, based on data from more than 80,000 postmenopausal women.

Cecilie_Arcurs/E+

The 2018 Physical Activity Guidelines show evidence of the impact of physical activity on reducing heart failure risk, but the association between activity, sedentary behavior (SB) and heart failure (HF) in older women in particular has not been well studied, wrote Michael J. LaMonte, PhD, MPH, of the State University of New York at Buffalo, and colleagues in a study published in Circulation: Heart Failure. “Given the high prevalence of prolonged sedentary time among U.S. adults aged 65 and older, among whom HF burden is substantial, understanding the role SB has in HF development is relevant to future HF prevention strategies,” the researchers wrote.

The researchers identified 80,982 women aged 50-79 years who were enrolled in the Women’s Health Initiative Observational Study, had no known HF, and could walk at least one block unassisted. The average follow-up period was 9 years, and a total of 1,402 women were hospitalized for heart failure during the period of time they were observed.

The time spent sedentary (combined sitting or lying down) was divided into tertiles of 6.5 hours or less, 6.6-9.5 hours, and more than 9.5 hours. Time spent sitting was divided into tertiles of 4.5 hours or less; 4.6-8.5 hours; and more than 8.5 hours.
 

Heart failure risk goes up with more down time

After controlling for multiple variables including age, race, education, income, smoking status alcohol use, menopausal hormone therapy, and hysterectomy status, the researchers found that patients in the second tertile for sedentary behavior had a significantly increased heart failure risk than patients in the first tertile for sedentary behavior. This risk was even greater for patients falling in the third tertile for sedentary behavior. Odds ratios were 1.00 (referent), 1.15, and 1.42 for the lowest to highest tertiles for total sedentary behavior, respectively, and 1.00 (referent), 1.14, and 1.54 for sitting (P < .001 for both total sedentary behavior and sitting only).

The trends remained significant after controlling for comorbidities including MI and coronary revascularization, and the associations were similar among categories of women with additional HF risk factors, including body mass index, diabetes, hypertension, and coronary heart disease.

Notably, the association between hours spent sitting or lying down and HF risk persisted even in women who met recommended activity levels, the researchers wrote.

The study findings were limited by the use of self-reports and by the inability to evaluate SB patterns or SB and HF subtypes, the researchers noted. However, the results were strengthened by the large sample size, use of time-varying SB exposure, and extensive controlling, and the data support the risk of increased SB on adverse cardiovascular outcomes.

“Results of this study underscore the need for effective strategies to reduce daily SB time, in addition to increasing recreational physical activity, as part of population efforts for HF prevention,” they concluded.

Clinicians know the value of a physically active lifestyle for heart health, said lead author Dr. LaMonte in a statement accompanying the study’s release. “However, our study clearly shows that we also need to increase efforts to reduce daily sedentary time and encourage adults to frequently interrupt their sedentary time. This does not necessarily require an extended bout of physical activity; it might simply be standing up for 5 minutes or standing and moving one’s feet in place.

“We do not have sufficient evidence on the best approach to recommend for interrupting sedentary time. However, accumulating data suggest that habitual activities such as steps taken during household and other activities of daily living are an important aspect of cardiovascular disease prevention and healthy aging,” Dr. LaMonte added.
 

Promote more movement and less sitting

“This is the first study to assess sedentary time and the risk for incident heart failure hospitalization in postmenopausal women,” said Robert H. Hopkins Jr., MD, of the University of Arkansas for Medical Sciences, Little Rock, in an interview.

“Heart failure is the cause of approximately 35% of cardiovascular mortalities in women, and sedentary behaviors are common in older adults,” he noted.

Kashif J. Piracha, MD, of Houston Methodist Willowbrook Hospital, agreed that there is a lack of existing data looking at the relationship between sedentary behavior and the risk of the development of heart failure in postmenopausal women. In an interview, he cited this as a reason “it was important to conduct this study.”

Dr. Hopkins added that he was not surprised by the study results “There are a number of studies which have demonstrated reduction in risk for heart failure in men and in combined populations of men and women with increased physical activity.” There are fewer data (but similar outcomes) in studies of men with increased levels of sedentary behaviors, he said.

“This study adds one more reason that other clinicians in primary care and me need to encourage our older patients to get up and move,” said Dr. Hopkins, who also serves on the editorial advisory board of Internal Medicine News. “Many of us have focused our efforts in the past on achieving exercise goals and this study provides a foundation for a recommendation that ‘it is not just about exercise;’ we need to also encourage our patients to minimize their time in sedentary pursuits in addition to exercise if we are to optimize their health into older age.”

Dr. Hopkins noted that the large size of the study was a strength, but the observational design and use of patient surveys were limitations.

“We need further studies to better tease out whether there are risk differences in different sedentary behavior patterns, whether this applies across heart failure with reduced ejection fraction versus heart failure with preserved ejection fraction, and whether there are additional ways we can mitigate these risks as our society ages,” he said.
 

Findings differ from California Men’s Health Study’s

“The results corroborate the fact that there is less risk of heart failure in physically active patients,” Dr. Piracha noted.

The message for clinicians is to encourage postmenopausal female patients to engage in physical activity as much as possible, said Dr. Piracha. “Also, it appears that in this population, even with good physical activity, prolonged sedentary behavior of more than 8.5 hours a day was still associated with a higher risk of incident HF hospitalization. Therefore, a case can be made to focus on carrying out physical activity with an intensity that can be sustained for longer, rather than shorter periods of time.”

Notably, the finding of increased HF hospitalization in women who reported high amounts of physical activity but were still sedentary for more than 8.5 hours a day “is contrary to what was seen in the California Men’s Health Study.” In that study, “men with high physical activity levels who also had prolonged sitting time did not have increased risk of HF hospitalization,” Dr. Piracha noted. “Further research is needed to elucidate what hormonal or other factors contribute to this difference.”

The new study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. Dr. Hopkins and Dr. Piracha had no financial conflicts to disclose.

SOURCE: LaMonte MJ et al. Circ Heart Fail. 2020 Nov 24. doi: 10.1161/CIRCHEARTFAILURE.120.007508.

The more time older women spent sitting or lying down, the more likely their risk of hospitalization for heart failure, based on data from more than 80,000 postmenopausal women.

Cecilie_Arcurs/E+

The 2018 Physical Activity Guidelines show evidence of the impact of physical activity on reducing heart failure risk, but the association between activity, sedentary behavior (SB) and heart failure (HF) in older women in particular has not been well studied, wrote Michael J. LaMonte, PhD, MPH, of the State University of New York at Buffalo, and colleagues in a study published in Circulation: Heart Failure. “Given the high prevalence of prolonged sedentary time among U.S. adults aged 65 and older, among whom HF burden is substantial, understanding the role SB has in HF development is relevant to future HF prevention strategies,” the researchers wrote.

The researchers identified 80,982 women aged 50-79 years who were enrolled in the Women’s Health Initiative Observational Study, had no known HF, and could walk at least one block unassisted. The average follow-up period was 9 years, and a total of 1,402 women were hospitalized for heart failure during the period of time they were observed.

The time spent sedentary (combined sitting or lying down) was divided into tertiles of 6.5 hours or less, 6.6-9.5 hours, and more than 9.5 hours. Time spent sitting was divided into tertiles of 4.5 hours or less; 4.6-8.5 hours; and more than 8.5 hours.
 

Heart failure risk goes up with more down time

After controlling for multiple variables including age, race, education, income, smoking status alcohol use, menopausal hormone therapy, and hysterectomy status, the researchers found that patients in the second tertile for sedentary behavior had a significantly increased heart failure risk than patients in the first tertile for sedentary behavior. This risk was even greater for patients falling in the third tertile for sedentary behavior. Odds ratios were 1.00 (referent), 1.15, and 1.42 for the lowest to highest tertiles for total sedentary behavior, respectively, and 1.00 (referent), 1.14, and 1.54 for sitting (P < .001 for both total sedentary behavior and sitting only).

The trends remained significant after controlling for comorbidities including MI and coronary revascularization, and the associations were similar among categories of women with additional HF risk factors, including body mass index, diabetes, hypertension, and coronary heart disease.

Notably, the association between hours spent sitting or lying down and HF risk persisted even in women who met recommended activity levels, the researchers wrote.

The study findings were limited by the use of self-reports and by the inability to evaluate SB patterns or SB and HF subtypes, the researchers noted. However, the results were strengthened by the large sample size, use of time-varying SB exposure, and extensive controlling, and the data support the risk of increased SB on adverse cardiovascular outcomes.

“Results of this study underscore the need for effective strategies to reduce daily SB time, in addition to increasing recreational physical activity, as part of population efforts for HF prevention,” they concluded.

Clinicians know the value of a physically active lifestyle for heart health, said lead author Dr. LaMonte in a statement accompanying the study’s release. “However, our study clearly shows that we also need to increase efforts to reduce daily sedentary time and encourage adults to frequently interrupt their sedentary time. This does not necessarily require an extended bout of physical activity; it might simply be standing up for 5 minutes or standing and moving one’s feet in place.

“We do not have sufficient evidence on the best approach to recommend for interrupting sedentary time. However, accumulating data suggest that habitual activities such as steps taken during household and other activities of daily living are an important aspect of cardiovascular disease prevention and healthy aging,” Dr. LaMonte added.
 

Promote more movement and less sitting

“This is the first study to assess sedentary time and the risk for incident heart failure hospitalization in postmenopausal women,” said Robert H. Hopkins Jr., MD, of the University of Arkansas for Medical Sciences, Little Rock, in an interview.

“Heart failure is the cause of approximately 35% of cardiovascular mortalities in women, and sedentary behaviors are common in older adults,” he noted.

Kashif J. Piracha, MD, of Houston Methodist Willowbrook Hospital, agreed that there is a lack of existing data looking at the relationship between sedentary behavior and the risk of the development of heart failure in postmenopausal women. In an interview, he cited this as a reason “it was important to conduct this study.”

Dr. Hopkins added that he was not surprised by the study results “There are a number of studies which have demonstrated reduction in risk for heart failure in men and in combined populations of men and women with increased physical activity.” There are fewer data (but similar outcomes) in studies of men with increased levels of sedentary behaviors, he said.

“This study adds one more reason that other clinicians in primary care and me need to encourage our older patients to get up and move,” said Dr. Hopkins, who also serves on the editorial advisory board of Internal Medicine News. “Many of us have focused our efforts in the past on achieving exercise goals and this study provides a foundation for a recommendation that ‘it is not just about exercise;’ we need to also encourage our patients to minimize their time in sedentary pursuits in addition to exercise if we are to optimize their health into older age.”

Dr. Hopkins noted that the large size of the study was a strength, but the observational design and use of patient surveys were limitations.

“We need further studies to better tease out whether there are risk differences in different sedentary behavior patterns, whether this applies across heart failure with reduced ejection fraction versus heart failure with preserved ejection fraction, and whether there are additional ways we can mitigate these risks as our society ages,” he said.
 

Findings differ from California Men’s Health Study’s

“The results corroborate the fact that there is less risk of heart failure in physically active patients,” Dr. Piracha noted.

The message for clinicians is to encourage postmenopausal female patients to engage in physical activity as much as possible, said Dr. Piracha. “Also, it appears that in this population, even with good physical activity, prolonged sedentary behavior of more than 8.5 hours a day was still associated with a higher risk of incident HF hospitalization. Therefore, a case can be made to focus on carrying out physical activity with an intensity that can be sustained for longer, rather than shorter periods of time.”

Notably, the finding of increased HF hospitalization in women who reported high amounts of physical activity but were still sedentary for more than 8.5 hours a day “is contrary to what was seen in the California Men’s Health Study.” In that study, “men with high physical activity levels who also had prolonged sitting time did not have increased risk of HF hospitalization,” Dr. Piracha noted. “Further research is needed to elucidate what hormonal or other factors contribute to this difference.”

The new study was supported by the National Heart, Lung, and Blood Institute. The researchers had no financial conflicts to disclose. Dr. Hopkins and Dr. Piracha had no financial conflicts to disclose.

SOURCE: LaMonte MJ et al. Circ Heart Fail. 2020 Nov 24. doi: 10.1161/CIRCHEARTFAILURE.120.007508.

An electronic alert may help doctors identify older adults with hearing loss sooner and increase referrals to an audiologist, according to a study published online Nov. 9 in the Annals of Family Medicine.

“Our findings demonstrate that using an electronic alert to prompt primary care clinicians to ask the single question, ‘Do you have difficulty with your hearing?’ to identify and refer appropriate at-risk patients for hearing testing is feasible and improves outcomes,” wrote Philip Zazove, MD, professor and chair, department of family medicine, University of Michigan Medical School, Ann Arbor, and colleagues.

Although hearing loss is known to be associated with an increased risk for a variety of health conditions, including hypertension, diabetes, dementia, and depression, the U.S. Preventive Services Task Force has concluded that there are insufficient data to evaluate the value of widespread screening.

To address that gap, Dr. Zazove and colleagues designed the Early Auditory Referral–Primary Care study. As part of the study, researchers added a hearing loss alert to the EMR systems of 10 family medicine clinics within two large health care systems, the University of Michigan (UM) and Beaumont Health (BH). Clinicians were educated on how to perform hearing loss screenings and the alerts were triggered to appear when clinicians evaluated patients 55 years or older who were being seen for non–hearing-related issues.

Between July 2016 and February 2019, 14,877 patients were enrolled in the study resulting in 36,701 encounters.

The researchers found that clinicians addressed the alert for 10,567 patients, resulting in an increase in referral rates from 3.2% at baseline to 14.4% in the UM system and from 0.7% to 4.7% in the BH system. For 26.2% of patients, the alert was not addressed at any encounter with the family clinician.

At the time of enrollment, patients were asked to complete a Hearing Handicap Index for the Elderly (HHI) questionnaire that was used to identify patients at risk for hearing loss. These results were blinded to clinicians. From the HHI data, available from 5,893 patients, the researchers found that 25.2% of patients had scores suggestive of hearing loss and that these patients had greater overall referral rates during the study period, compared with patients with lower scores (28% vs. 9.2%, respectively; P < .001).

Addressing hearing loss/communication challenges can improve health care utilization and improve quality of life for older patients, noted coauthor Michael McKee, MD, MPH, in an interview.

“This includes their relationships with significant others, better adherence to treatment plans, and possibly reducing their risk for cognitive decline,” Dr. McKee said.

While acknowledging that this type of alert should be relatively easy to implement in most EMR systems, “the issue of electronic medical record alert fatigue must be considered,” said Angela Shoup, PhD, FAAA, FNAP, president of the American Academy of Audiology and executive director of the University of Texas Callier Center for Communication Disorders in Dallas.

“Health care providers and information technology advisers are increasingly sensitive to the need to carefully curate alerts to ensure providers do not become so inundated that they miss important clinical decision support tools,” Dr. Shoup said in an interview.

“Tailoring the alert to specifically trigger only for the specified population, as noted in this article, is one technique recommended to help reduce EMR alert fatigue,” she noted.

The addition of this prompt for family clinicians “should increase the chances that hearing loss patients, who suffer substantial morbidity when untreated, will get better and earlier hearing healthcare with potentially fewer hospitalizations and improved quality of life,” Dr. Zazove and colleagues conclude.

Funding for this study was provided through a grant from the National Institute on Deafness and Other Communication Disorders (NIDCD). The authors and Dr. Shoup have reported no relevant financial relationships.
 

A version of this article originally appeared on Medscape.com.

An electronic alert may help doctors identify older adults with hearing loss sooner and increase referrals to an audiologist, according to a study published online Nov. 9 in the Annals of Family Medicine.

“Our findings demonstrate that using an electronic alert to prompt primary care clinicians to ask the single question, ‘Do you have difficulty with your hearing?’ to identify and refer appropriate at-risk patients for hearing testing is feasible and improves outcomes,” wrote Philip Zazove, MD, professor and chair, department of family medicine, University of Michigan Medical School, Ann Arbor, and colleagues.

Although hearing loss is known to be associated with an increased risk for a variety of health conditions, including hypertension, diabetes, dementia, and depression, the U.S. Preventive Services Task Force has concluded that there are insufficient data to evaluate the value of widespread screening.

To address that gap, Dr. Zazove and colleagues designed the Early Auditory Referral–Primary Care study. As part of the study, researchers added a hearing loss alert to the EMR systems of 10 family medicine clinics within two large health care systems, the University of Michigan (UM) and Beaumont Health (BH). Clinicians were educated on how to perform hearing loss screenings and the alerts were triggered to appear when clinicians evaluated patients 55 years or older who were being seen for non–hearing-related issues.

Between July 2016 and February 2019, 14,877 patients were enrolled in the study resulting in 36,701 encounters.

The researchers found that clinicians addressed the alert for 10,567 patients, resulting in an increase in referral rates from 3.2% at baseline to 14.4% in the UM system and from 0.7% to 4.7% in the BH system. For 26.2% of patients, the alert was not addressed at any encounter with the family clinician.

At the time of enrollment, patients were asked to complete a Hearing Handicap Index for the Elderly (HHI) questionnaire that was used to identify patients at risk for hearing loss. These results were blinded to clinicians. From the HHI data, available from 5,893 patients, the researchers found that 25.2% of patients had scores suggestive of hearing loss and that these patients had greater overall referral rates during the study period, compared with patients with lower scores (28% vs. 9.2%, respectively; P < .001).

Addressing hearing loss/communication challenges can improve health care utilization and improve quality of life for older patients, noted coauthor Michael McKee, MD, MPH, in an interview.

“This includes their relationships with significant others, better adherence to treatment plans, and possibly reducing their risk for cognitive decline,” Dr. McKee said.

While acknowledging that this type of alert should be relatively easy to implement in most EMR systems, “the issue of electronic medical record alert fatigue must be considered,” said Angela Shoup, PhD, FAAA, FNAP, president of the American Academy of Audiology and executive director of the University of Texas Callier Center for Communication Disorders in Dallas.

“Health care providers and information technology advisers are increasingly sensitive to the need to carefully curate alerts to ensure providers do not become so inundated that they miss important clinical decision support tools,” Dr. Shoup said in an interview.

“Tailoring the alert to specifically trigger only for the specified population, as noted in this article, is one technique recommended to help reduce EMR alert fatigue,” she noted.

The addition of this prompt for family clinicians “should increase the chances that hearing loss patients, who suffer substantial morbidity when untreated, will get better and earlier hearing healthcare with potentially fewer hospitalizations and improved quality of life,” Dr. Zazove and colleagues conclude.

Funding for this study was provided through a grant from the National Institute on Deafness and Other Communication Disorders (NIDCD). The authors and Dr. Shoup have reported no relevant financial relationships.
 

A version of this article originally appeared on Medscape.com.

An electronic alert may help doctors identify older adults with hearing loss sooner and increase referrals to an audiologist, according to a study published online Nov. 9 in the Annals of Family Medicine.

“Our findings demonstrate that using an electronic alert to prompt primary care clinicians to ask the single question, ‘Do you have difficulty with your hearing?’ to identify and refer appropriate at-risk patients for hearing testing is feasible and improves outcomes,” wrote Philip Zazove, MD, professor and chair, department of family medicine, University of Michigan Medical School, Ann Arbor, and colleagues.

Although hearing loss is known to be associated with an increased risk for a variety of health conditions, including hypertension, diabetes, dementia, and depression, the U.S. Preventive Services Task Force has concluded that there are insufficient data to evaluate the value of widespread screening.

To address that gap, Dr. Zazove and colleagues designed the Early Auditory Referral–Primary Care study. As part of the study, researchers added a hearing loss alert to the EMR systems of 10 family medicine clinics within two large health care systems, the University of Michigan (UM) and Beaumont Health (BH). Clinicians were educated on how to perform hearing loss screenings and the alerts were triggered to appear when clinicians evaluated patients 55 years or older who were being seen for non–hearing-related issues.

Between July 2016 and February 2019, 14,877 patients were enrolled in the study resulting in 36,701 encounters.

The researchers found that clinicians addressed the alert for 10,567 patients, resulting in an increase in referral rates from 3.2% at baseline to 14.4% in the UM system and from 0.7% to 4.7% in the BH system. For 26.2% of patients, the alert was not addressed at any encounter with the family clinician.

At the time of enrollment, patients were asked to complete a Hearing Handicap Index for the Elderly (HHI) questionnaire that was used to identify patients at risk for hearing loss. These results were blinded to clinicians. From the HHI data, available from 5,893 patients, the researchers found that 25.2% of patients had scores suggestive of hearing loss and that these patients had greater overall referral rates during the study period, compared with patients with lower scores (28% vs. 9.2%, respectively; P < .001).

Addressing hearing loss/communication challenges can improve health care utilization and improve quality of life for older patients, noted coauthor Michael McKee, MD, MPH, in an interview.

“This includes their relationships with significant others, better adherence to treatment plans, and possibly reducing their risk for cognitive decline,” Dr. McKee said.

While acknowledging that this type of alert should be relatively easy to implement in most EMR systems, “the issue of electronic medical record alert fatigue must be considered,” said Angela Shoup, PhD, FAAA, FNAP, president of the American Academy of Audiology and executive director of the University of Texas Callier Center for Communication Disorders in Dallas.

“Health care providers and information technology advisers are increasingly sensitive to the need to carefully curate alerts to ensure providers do not become so inundated that they miss important clinical decision support tools,” Dr. Shoup said in an interview.

“Tailoring the alert to specifically trigger only for the specified population, as noted in this article, is one technique recommended to help reduce EMR alert fatigue,” she noted.

The addition of this prompt for family clinicians “should increase the chances that hearing loss patients, who suffer substantial morbidity when untreated, will get better and earlier hearing healthcare with potentially fewer hospitalizations and improved quality of life,” Dr. Zazove and colleagues conclude.

Funding for this study was provided through a grant from the National Institute on Deafness and Other Communication Disorders (NIDCD). The authors and Dr. Shoup have reported no relevant financial relationships.
 

A version of this article originally appeared on Medscape.com.

Osteoporosis is frequently underdiagnosed and undertreated in men before and even after they have experienced a fracture, according to research presented at the virtual annual meeting of the American College of Rheumatology.

“This is an important public health concern,” as fractures contribute significantly to morbidity and mortality, said Jeffrey Curtis, MD, MS, MPH, professor of medicine in the division of clinical immunology and rheumatology at the University of Alabama at Birmingham.

Men are often overlooked, he said, “because it’s misconstrued as a disease that mainly, if not only, affects Caucasian women,” despite the fact that 20%-25% of fractures occur in men.

Emerging evidence suggests that men who have bone fractures have worse outcomes than women, Dr. Curtis said.
 

Guidelines lacking

Consistent guidelines for osteoporosis screening among men are also lacking, leading to ambiguity and increased disease burden.

Researchers studied records for a 5% random sample of male Medicare fee-for-service beneficiaries (n = 9,876) aged at least 65 years with a closed fragility fracture between January 2010 and September 2014. Average age for the men with fractures was 77.9 years, and the most common sites of the fracture were the spine, hip, and ankle.

They looked back to see whether these men had been effectively screened and treated.

Very few had.

“We found that 92.8% of them did not have any diagnosis or treatment of osteoporosis at baseline,” Curtis said. On top of that, less than 6% of men had undergone any dual-energy x-ray absorptiometry (DEXA) or bone mineral testing in the 2 years prior to their fracture.

Even men who had high-risk factors for falls, such as those using beta-blockers, mobility impairment, or a history of opioid use, were unlikely to be screened, he said.

Dr. Curtis’s data show there was actually a decline in DEXA scans from 2012 to 2014, and that decline was particularly high in men aged 75 years and older who are more likely to be at risk for fracture.

In addition to underscreening and undertreating before the fracture, Dr. Curtis said, “The treatment patterns after the fracture were not much better.” In the year after the fracture, “only about 10% of these men had BMD [bone mineral density] testing. Only 9% were treated with an osteoporosis medication.”

“Importantly, about 7% of the men in this large cohort went on to have one or more fractures in the next year,” he added.

Reasons for undertreatment

Reasons for the poor rates of diagnosis and treatment may begin with patients not having symptoms. Therefore, they aren’t coming into doctors’ offices asking to be screened. “Even if they break bones, they may not know enough to ask how to prevent the next fracture,” Dr. Curtis said.

There’s a financial obstacle as well, Dr. Curtis explained. “U.S. legislation that provides population screening for Medicare patients really, for men, is quite dissimilar to the near-universal coverage for women. So many clinicians worry they won’t get reimbursed if they order DEXA in men for screening.”

Additionally, postfracture quality-of-care guidelines that are reimbursed as part of the Medicare Access and CHIP Reauthorization Act of 2015 and the Merit-based Incentive Payment System program specifically exclude men, he noted.

Better management of male osteoporosis, including early identification of at-risk individuals is clearly warranted, he said, so they can be screened and put on effective therapy.

Sonali Khandelwal, MD, a rheumatologist with Rush University Medical Center, Chicago, who was not part of the research, agreed.

She said in an interview that part of the problem is that diagnosis and treatment could come from a variety of specialists – endocrinologists, rheumatologists, orthopedists, and primary care physicians – and each may think it falls in another’s realm.

At Rush and some other sites nationally, she said, an alert is registered in electronic medical records flagging any patient who may need bone density screening based on age, medications, or history.

Rush University also has a fracture liaison service under which everyone hospitalized there who may have had a history of a fracture or is admitted with a fracture gets followed up with screening and treatment, “to capture those patients who may not have come through the system otherwise.”

She said guidelines have called for DEXA screening for men at age 70, but she said clinical screening should start younger – as young as 50 – for patients with conditions such as lupus, rheumatoid arthritis, hypogonadism, or those on chronic steroids.

Dr. Khandelwal said that, even when an insurance company doesn›t typically cover bone density screening for men, physicians can often make a case for reimbursement if the patient has a history of falls or fractures.

“In the long run, preventing a fracture is saving so much more money than when you get a fracture and end up in a hospital and have to go to a nursing home,” she said.

Dr. Curtis reported relationships with AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Gilead Sciences, and Sanofi. Dr. Khandelwal reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Osteoporosis is frequently underdiagnosed and undertreated in men before and even after they have experienced a fracture, according to research presented at the virtual annual meeting of the American College of Rheumatology.

“This is an important public health concern,” as fractures contribute significantly to morbidity and mortality, said Jeffrey Curtis, MD, MS, MPH, professor of medicine in the division of clinical immunology and rheumatology at the University of Alabama at Birmingham.

Men are often overlooked, he said, “because it’s misconstrued as a disease that mainly, if not only, affects Caucasian women,” despite the fact that 20%-25% of fractures occur in men.

Emerging evidence suggests that men who have bone fractures have worse outcomes than women, Dr. Curtis said.
 

Guidelines lacking

Consistent guidelines for osteoporosis screening among men are also lacking, leading to ambiguity and increased disease burden.

Researchers studied records for a 5% random sample of male Medicare fee-for-service beneficiaries (n = 9,876) aged at least 65 years with a closed fragility fracture between January 2010 and September 2014. Average age for the men with fractures was 77.9 years, and the most common sites of the fracture were the spine, hip, and ankle.

They looked back to see whether these men had been effectively screened and treated.

Very few had.

“We found that 92.8% of them did not have any diagnosis or treatment of osteoporosis at baseline,” Curtis said. On top of that, less than 6% of men had undergone any dual-energy x-ray absorptiometry (DEXA) or bone mineral testing in the 2 years prior to their fracture.

Even men who had high-risk factors for falls, such as those using beta-blockers, mobility impairment, or a history of opioid use, were unlikely to be screened, he said.

Dr. Curtis’s data show there was actually a decline in DEXA scans from 2012 to 2014, and that decline was particularly high in men aged 75 years and older who are more likely to be at risk for fracture.

In addition to underscreening and undertreating before the fracture, Dr. Curtis said, “The treatment patterns after the fracture were not much better.” In the year after the fracture, “only about 10% of these men had BMD [bone mineral density] testing. Only 9% were treated with an osteoporosis medication.”

“Importantly, about 7% of the men in this large cohort went on to have one or more fractures in the next year,” he added.

Reasons for undertreatment

Reasons for the poor rates of diagnosis and treatment may begin with patients not having symptoms. Therefore, they aren’t coming into doctors’ offices asking to be screened. “Even if they break bones, they may not know enough to ask how to prevent the next fracture,” Dr. Curtis said.

There’s a financial obstacle as well, Dr. Curtis explained. “U.S. legislation that provides population screening for Medicare patients really, for men, is quite dissimilar to the near-universal coverage for women. So many clinicians worry they won’t get reimbursed if they order DEXA in men for screening.”

Additionally, postfracture quality-of-care guidelines that are reimbursed as part of the Medicare Access and CHIP Reauthorization Act of 2015 and the Merit-based Incentive Payment System program specifically exclude men, he noted.

Better management of male osteoporosis, including early identification of at-risk individuals is clearly warranted, he said, so they can be screened and put on effective therapy.

Sonali Khandelwal, MD, a rheumatologist with Rush University Medical Center, Chicago, who was not part of the research, agreed.

She said in an interview that part of the problem is that diagnosis and treatment could come from a variety of specialists – endocrinologists, rheumatologists, orthopedists, and primary care physicians – and each may think it falls in another’s realm.

At Rush and some other sites nationally, she said, an alert is registered in electronic medical records flagging any patient who may need bone density screening based on age, medications, or history.

Rush University also has a fracture liaison service under which everyone hospitalized there who may have had a history of a fracture or is admitted with a fracture gets followed up with screening and treatment, “to capture those patients who may not have come through the system otherwise.”

She said guidelines have called for DEXA screening for men at age 70, but she said clinical screening should start younger – as young as 50 – for patients with conditions such as lupus, rheumatoid arthritis, hypogonadism, or those on chronic steroids.

Dr. Khandelwal said that, even when an insurance company doesn›t typically cover bone density screening for men, physicians can often make a case for reimbursement if the patient has a history of falls or fractures.

“In the long run, preventing a fracture is saving so much more money than when you get a fracture and end up in a hospital and have to go to a nursing home,” she said.

Dr. Curtis reported relationships with AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Gilead Sciences, and Sanofi. Dr. Khandelwal reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Osteoporosis is frequently underdiagnosed and undertreated in men before and even after they have experienced a fracture, according to research presented at the virtual annual meeting of the American College of Rheumatology.

“This is an important public health concern,” as fractures contribute significantly to morbidity and mortality, said Jeffrey Curtis, MD, MS, MPH, professor of medicine in the division of clinical immunology and rheumatology at the University of Alabama at Birmingham.

Men are often overlooked, he said, “because it’s misconstrued as a disease that mainly, if not only, affects Caucasian women,” despite the fact that 20%-25% of fractures occur in men.

Emerging evidence suggests that men who have bone fractures have worse outcomes than women, Dr. Curtis said.
 

Guidelines lacking

Consistent guidelines for osteoporosis screening among men are also lacking, leading to ambiguity and increased disease burden.

Researchers studied records for a 5% random sample of male Medicare fee-for-service beneficiaries (n = 9,876) aged at least 65 years with a closed fragility fracture between January 2010 and September 2014. Average age for the men with fractures was 77.9 years, and the most common sites of the fracture were the spine, hip, and ankle.

They looked back to see whether these men had been effectively screened and treated.

Very few had.

“We found that 92.8% of them did not have any diagnosis or treatment of osteoporosis at baseline,” Curtis said. On top of that, less than 6% of men had undergone any dual-energy x-ray absorptiometry (DEXA) or bone mineral testing in the 2 years prior to their fracture.

Even men who had high-risk factors for falls, such as those using beta-blockers, mobility impairment, or a history of opioid use, were unlikely to be screened, he said.

Dr. Curtis’s data show there was actually a decline in DEXA scans from 2012 to 2014, and that decline was particularly high in men aged 75 years and older who are more likely to be at risk for fracture.

In addition to underscreening and undertreating before the fracture, Dr. Curtis said, “The treatment patterns after the fracture were not much better.” In the year after the fracture, “only about 10% of these men had BMD [bone mineral density] testing. Only 9% were treated with an osteoporosis medication.”

“Importantly, about 7% of the men in this large cohort went on to have one or more fractures in the next year,” he added.

Reasons for undertreatment

Reasons for the poor rates of diagnosis and treatment may begin with patients not having symptoms. Therefore, they aren’t coming into doctors’ offices asking to be screened. “Even if they break bones, they may not know enough to ask how to prevent the next fracture,” Dr. Curtis said.

There’s a financial obstacle as well, Dr. Curtis explained. “U.S. legislation that provides population screening for Medicare patients really, for men, is quite dissimilar to the near-universal coverage for women. So many clinicians worry they won’t get reimbursed if they order DEXA in men for screening.”

Additionally, postfracture quality-of-care guidelines that are reimbursed as part of the Medicare Access and CHIP Reauthorization Act of 2015 and the Merit-based Incentive Payment System program specifically exclude men, he noted.

Better management of male osteoporosis, including early identification of at-risk individuals is clearly warranted, he said, so they can be screened and put on effective therapy.

Sonali Khandelwal, MD, a rheumatologist with Rush University Medical Center, Chicago, who was not part of the research, agreed.

She said in an interview that part of the problem is that diagnosis and treatment could come from a variety of specialists – endocrinologists, rheumatologists, orthopedists, and primary care physicians – and each may think it falls in another’s realm.

At Rush and some other sites nationally, she said, an alert is registered in electronic medical records flagging any patient who may need bone density screening based on age, medications, or history.

Rush University also has a fracture liaison service under which everyone hospitalized there who may have had a history of a fracture or is admitted with a fracture gets followed up with screening and treatment, “to capture those patients who may not have come through the system otherwise.”

She said guidelines have called for DEXA screening for men at age 70, but she said clinical screening should start younger – as young as 50 – for patients with conditions such as lupus, rheumatoid arthritis, hypogonadism, or those on chronic steroids.

Dr. Khandelwal said that, even when an insurance company doesn›t typically cover bone density screening for men, physicians can often make a case for reimbursement if the patient has a history of falls or fractures.

“In the long run, preventing a fracture is saving so much more money than when you get a fracture and end up in a hospital and have to go to a nursing home,” she said.

Dr. Curtis reported relationships with AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Gilead Sciences, and Sanofi. Dr. Khandelwal reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Most older women with estrogen receptor–positive (ER+) breast cancer can tolerate and should be offered surgery, and a new tool helps them decide between treatment options, the U.K. Age Gap study suggests. Findings from the study were reported at the 12th European Breast Cancer Conference.

“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).

“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.

Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.

The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.

The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.

The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
 

Prospective cohort study

The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).

In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.

At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.

In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.

The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.

In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.

Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.

None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.

Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
 

Cluster-randomized controlled trial

In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.

The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.

Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.

Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).

The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.

Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.

Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
 

Applying results to practice

“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”

“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.

“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.

In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.

“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”

The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.

SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.

Most older women with estrogen receptor–positive (ER+) breast cancer can tolerate and should be offered surgery, and a new tool helps them decide between treatment options, the U.K. Age Gap study suggests. Findings from the study were reported at the 12th European Breast Cancer Conference.

“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).

“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.

Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.

The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.

The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.

The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
 

Prospective cohort study

The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).

In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.

At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.

In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.

The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.

In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.

Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.

None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.

Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
 

Cluster-randomized controlled trial

In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.

The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.

Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.

Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).

The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.

Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.

Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
 

Applying results to practice

“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”

“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.

“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.

In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.

“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”

The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.

SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.

Most older women with estrogen receptor–positive (ER+) breast cancer can tolerate and should be offered surgery, and a new tool helps them decide between treatment options, the U.K. Age Gap study suggests. Findings from the study were reported at the 12th European Breast Cancer Conference.

“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).

“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.

Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.

The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.

The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.

The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
 

Prospective cohort study

The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).

In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.

At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.

In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.

The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.

In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.

Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.

None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.

Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
 

Cluster-randomized controlled trial

In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.

The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.

Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.

Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).

The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.

Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.

Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
 

Applying results to practice

“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”

“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.

“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.

In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.

“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”

The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.

SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.

A substantial cumulative burden of treatment in the first year is borne by patients newly diagnosed with multiple myeloma (MM), according to a report published online in Clinical Lymphoma, Myeloma and Leukemia.

MM is a disease of aging, with a median age at diagnosis of 69 years, and the burden of treatment and not just possible outcomes should be considered in decision-making discussions with patients, according to researchers Hira S. Mian, MD, of McMaster University, Hamilton, Ont., and colleagues.

They performed a retrospective study of a Medicare-linked database of 3,065 adults newly diagnosed with multiple myeloma (MM) between 2007-2013. The treatment burden among the patients was assessed to determine those factors associated with high treatment burden.
 

Heavy burden

Treatment burden was defined as the number of total days with a health care encounter (including acute care and outpatient visits), oncology and nononcology physician visits, and the number of new prescriptions within the first year following diagnosis, according to the researchers.

The study found that there was a substantial burden of treatment, including a median of more than 2 months of cumulative interactions with health care, within the first year following diagnosis. This burden was highest during the first 3 months.

Those patients who had multiple comorbidities (adjusted odds ratio [aOR] 1.27 per 1-point increase in Charlson comorbidity index, P < .001), poor performance status (aOR 1.85, P < .001), myeloma-related end-organ damage, especially bone disease (aOR 2.28, P < .001), and those who received autologous stem cell transplant (aOR 2.41, P < .001) were more likely to have a higher treatment burden, they reported.

“Decision-making regarding treatment modalities should not just emphasize traditional parameters such as response rates and progression-free survival but should also include a discussion regarding the workload burden placed on the patient and the care partner, in order to ensure informed and patient-centered decision-making is prioritized. This may be particularly relevant among certain subgroups such as older patients with cancer who may prioritize quality of life over aggressive disease control and overall survival,” the researchers concluded.

The study was funded by the National Cancer Institute at the U.S. National Institutes of Health. The authors reported funding from a variety of pharmaceutical and biotechnology companies.

[email protected]

SOURCE: Mian HS et al. Clin Lymphoma Myeloma Leuk. 2020 Oct 1. doi: 10.1016/j.clml.2020.09.010.

A substantial cumulative burden of treatment in the first year is borne by patients newly diagnosed with multiple myeloma (MM), according to a report published online in Clinical Lymphoma, Myeloma and Leukemia.

MM is a disease of aging, with a median age at diagnosis of 69 years, and the burden of treatment and not just possible outcomes should be considered in decision-making discussions with patients, according to researchers Hira S. Mian, MD, of McMaster University, Hamilton, Ont., and colleagues.

They performed a retrospective study of a Medicare-linked database of 3,065 adults newly diagnosed with multiple myeloma (MM) between 2007-2013. The treatment burden among the patients was assessed to determine those factors associated with high treatment burden.
 

Heavy burden

Treatment burden was defined as the number of total days with a health care encounter (including acute care and outpatient visits), oncology and nononcology physician visits, and the number of new prescriptions within the first year following diagnosis, according to the researchers.

The study found that there was a substantial burden of treatment, including a median of more than 2 months of cumulative interactions with health care, within the first year following diagnosis. This burden was highest during the first 3 months.

Those patients who had multiple comorbidities (adjusted odds ratio [aOR] 1.27 per 1-point increase in Charlson comorbidity index, P < .001), poor performance status (aOR 1.85, P < .001), myeloma-related end-organ damage, especially bone disease (aOR 2.28, P < .001), and those who received autologous stem cell transplant (aOR 2.41, P < .001) were more likely to have a higher treatment burden, they reported.

“Decision-making regarding treatment modalities should not just emphasize traditional parameters such as response rates and progression-free survival but should also include a discussion regarding the workload burden placed on the patient and the care partner, in order to ensure informed and patient-centered decision-making is prioritized. This may be particularly relevant among certain subgroups such as older patients with cancer who may prioritize quality of life over aggressive disease control and overall survival,” the researchers concluded.

The study was funded by the National Cancer Institute at the U.S. National Institutes of Health. The authors reported funding from a variety of pharmaceutical and biotechnology companies.

[email protected]

SOURCE: Mian HS et al. Clin Lymphoma Myeloma Leuk. 2020 Oct 1. doi: 10.1016/j.clml.2020.09.010.

A substantial cumulative burden of treatment in the first year is borne by patients newly diagnosed with multiple myeloma (MM), according to a report published online in Clinical Lymphoma, Myeloma and Leukemia.

MM is a disease of aging, with a median age at diagnosis of 69 years, and the burden of treatment and not just possible outcomes should be considered in decision-making discussions with patients, according to researchers Hira S. Mian, MD, of McMaster University, Hamilton, Ont., and colleagues.

They performed a retrospective study of a Medicare-linked database of 3,065 adults newly diagnosed with multiple myeloma (MM) between 2007-2013. The treatment burden among the patients was assessed to determine those factors associated with high treatment burden.
 

Heavy burden

Treatment burden was defined as the number of total days with a health care encounter (including acute care and outpatient visits), oncology and nononcology physician visits, and the number of new prescriptions within the first year following diagnosis, according to the researchers.

The study found that there was a substantial burden of treatment, including a median of more than 2 months of cumulative interactions with health care, within the first year following diagnosis. This burden was highest during the first 3 months.

Those patients who had multiple comorbidities (adjusted odds ratio [aOR] 1.27 per 1-point increase in Charlson comorbidity index, P < .001), poor performance status (aOR 1.85, P < .001), myeloma-related end-organ damage, especially bone disease (aOR 2.28, P < .001), and those who received autologous stem cell transplant (aOR 2.41, P < .001) were more likely to have a higher treatment burden, they reported.

“Decision-making regarding treatment modalities should not just emphasize traditional parameters such as response rates and progression-free survival but should also include a discussion regarding the workload burden placed on the patient and the care partner, in order to ensure informed and patient-centered decision-making is prioritized. This may be particularly relevant among certain subgroups such as older patients with cancer who may prioritize quality of life over aggressive disease control and overall survival,” the researchers concluded.

The study was funded by the National Cancer Institute at the U.S. National Institutes of Health. The authors reported funding from a variety of pharmaceutical and biotechnology companies.

[email protected]

SOURCE: Mian HS et al. Clin Lymphoma Myeloma Leuk. 2020 Oct 1. doi: 10.1016/j.clml.2020.09.010.

I have been in practice for 31 years, so many of my patients are now in their 80s and 90s. Practices age with us, and I have been seeing many of these patients for 25-30 years. I have three rules I try to encourage my elderly patients follow, and I wanted to share them with you.

Absolutely, positively make sure you move!

Our older patients often have many reasons not to move, including pain from arthritis, deconditioning, muscle weakness, fatigue, and depression. “Keeping moving” is probably the most important thing a patient can do for their health.

Holme and Anderssen studied a large cohort of men for cardiovascular risk in 1972 and again in 2000. The surviving men were followed over an additional 12 years.¹ They found that 30 minutes of physical activity 6 days a week was associated with a 40% reduction in mortality. Sedentary men had a reduced life expectancy of about 5 years, compared with men who were moderately to vigorously physically active.

Stewart etal. studied the benefit of physical activity in people with stable coronary disease.² They concluded that, in patients with stable coronary heart disease, more physical activity was associated with lower mortality, and the largest benefit occurred in the sedentary patient groups and the highest cardiac risk groups.

Saint-Maurice et al. studied the effects of total daily step count and step intensity on mortality risk.³ They found that the risk of all-cause mortality decreases as the total number of daily steps increases, but that the speed of those steps did not make a difference. This is very encouraging data for our elderly patients. Moving is the secret, even if it may not be moving at a fast pace!
 

Never, ever get on a ladder!

This one should be part of every geriatric’s assessment and every Medicare wellness exam. I first experienced the horror of what can happen when elderly people climb when a 96-year-old healthy patient of mine fell off his roof and died. I never thought to tell him climbing on the roof was an awful idea.

Akland et al. looked at the epidemiology and outcomes of ladder-related falls that required ICU admission.⁴ Hospital mortality was 26%, and almost all of the mortalities occurred in older males in domestic falls, who died as a result of traumatic brain injury. Fewer than half of the survivors were living independently 1 year after the fall.

Valmuur et al. studied ladder related falls in Australia.⁵ They found that rates of ladder related falls requiring hospitalization rose from about 20/100,000 for men ages 15-29 years to 78/100,000 for men aged over 60 years. Of those who died from fall-related injury, 82% were over the age of 60, with more than 70% dying from head injuries.

Schaffarczyk et al. looked at the impact of nonoccupational falls from ladders in men aged over 50 years.⁶ The mean age of the patients in the study was 64 years (range, 50-85), with 27% suffering severe trauma. There was a striking impact on long-term function occurring in over half the study patients. The authors did interviews with patients in follow-up long after the falls and found that most never thought of themselves at risk for a fall, and after the experience of a bad fall, would never consider going on a ladder again. I think it is important for health care professionals to discuss the dangers of ladder use with our older patients, pointing out the higher risk of falling and the potential for the fall to be a life-changing or life-ending event.
 

Let them eat!

Many patients have a reduced appetite as they age. We work hard with our patients to choose a healthy diet throughout their lives, to help ward off obesity, treat hypertension, prevent or control diabetes, or provide heart health. Many patients just stop being interested in food, reduce intake, and may lose weight and muscle mass. When my patients pass the age of 85, I change my focus to encouraging them to eat for calories, socialization, and joy. I think the marginal benefits of more restrictive diets are small, compared with the benefits of helping your patients enjoy eating again. I ask patients what their very favorite foods are and encourage them to have them.

Pearl

Keep your patients eating and moving, except not onto a ladder!

Dr. Paauw is professor of medicine in the division of general internal medicine at the University of Washington, Seattle, and serves as third-year medical student clerkship director at the University of Washington. He is a member of the editorial advisory board of Internal Medicine News. Dr. Paauw has no conflicts to disclose. Contact him at [email protected].

References

1. Holme I, Anderssen SA. Increases in physical activity is as important as smoking cessation for reduction in total mortality in elderly men: 12 years of follow-up of the Oslo II study. Br J Sports Med. 2015; 49:743-8.

2. Stewart RAH et al. Physical activity and mortality in patients with stable coronary heart disease. J Am Coll Cardiol. 2017 Oct 3;70(14):1689-1700..

3. Saint-Maurice PF et al. Association of daily step count and step intensity with mortality among U.S. adults. JAMA 2020;323:1151-60.

4. Ackland HM et al. Danger at every rung: Epidemiology and outcomes of ICU-admitted ladder-related trauma. Injury. 2016;47:1109-117.

5. Vallmuur K et al. Falls from ladders in Australia: comparing occupational and nonoccupational injuries across age groups. Aust N Z J Public Health. 2016 Dec;40(6):559-63.

6. Schaffarczyk K et al. Nonoccupational falls from ladders in men 50 years and over: Contributing factors and impact. Injury. 2020 Aug;51(8):1798-1804.

I have been in practice for 31 years, so many of my patients are now in their 80s and 90s. Practices age with us, and I have been seeing many of these patients for 25-30 years. I have three rules I try to encourage my elderly patients follow, and I wanted to share them with you.

Absolutely, positively make sure you move!

Our older patients often have many reasons not to move, including pain from arthritis, deconditioning, muscle weakness, fatigue, and depression. “Keeping moving” is probably the most important thing a patient can do for their health.

Holme and Anderssen studied a large cohort of men for cardiovascular risk in 1972 and again in 2000. The surviving men were followed over an additional 12 years.¹ They found that 30 minutes of physical activity 6 days a week was associated with a 40% reduction in mortality. Sedentary men had a reduced life expectancy of about 5 years, compared with men who were moderately to vigorously physically active.

Stewart etal. studied the benefit of physical activity in people with stable coronary disease.² They concluded that, in patients with stable coronary heart disease, more physical activity was associated with lower mortality, and the largest benefit occurred in the sedentary patient groups and the highest cardiac risk groups.

Saint-Maurice et al. studied the effects of total daily step count and step intensity on mortality risk.³ They found that the risk of all-cause mortality decreases as the total number of daily steps increases, but that the speed of those steps did not make a difference. This is very encouraging data for our elderly patients. Moving is the secret, even if it may not be moving at a fast pace!
 

Never, ever get on a ladder!

This one should be part of every geriatric’s assessment and every Medicare wellness exam. I first experienced the horror of what can happen when elderly people climb when a 96-year-old healthy patient of mine fell off his roof and died. I never thought to tell him climbing on the roof was an awful idea.

Akland et al. looked at the epidemiology and outcomes of ladder-related falls that required ICU admission.⁴ Hospital mortality was 26%, and almost all of the mortalities occurred in older males in domestic falls, who died as a result of traumatic brain injury. Fewer than half of the survivors were living independently 1 year after the fall.

Valmuur et al. studied ladder related falls in Australia.⁵ They found that rates of ladder related falls requiring hospitalization rose from about 20/100,000 for men ages 15-29 years to 78/100,000 for men aged over 60 years. Of those who died from fall-related injury, 82% were over the age of 60, with more than 70% dying from head injuries.

Schaffarczyk et al. looked at the impact of nonoccupational falls from ladders in men aged over 50 years.⁶ The mean age of the patients in the study was 64 years (range, 50-85), with 27% suffering severe trauma. There was a striking impact on long-term function occurring in over half the study patients. The authors did interviews with patients in follow-up long after the falls and found that most never thought of themselves at risk for a fall, and after the experience of a bad fall, would never consider going on a ladder again. I think it is important for health care professionals to discuss the dangers of ladder use with our older patients, pointing out the higher risk of falling and the potential for the fall to be a life-changing or life-ending event.
 

Let them eat!

Many patients have a reduced appetite as they age. We work hard with our patients to choose a healthy diet throughout their lives, to help ward off obesity, treat hypertension, prevent or control diabetes, or provide heart health. Many patients just stop being interested in food, reduce intake, and may lose weight and muscle mass. When my patients pass the age of 85, I change my focus to encouraging them to eat for calories, socialization, and joy. I think the marginal benefits of more restrictive diets are small, compared with the benefits of helping your patients enjoy eating again. I ask patients what their very favorite foods are and encourage them to have them.

Pearl

Keep your patients eating and moving, except not onto a ladder!

Dr. Paauw is professor of medicine in the division of general internal medicine at the University of Washington, Seattle, and serves as third-year medical student clerkship director at the University of Washington. He is a member of the editorial advisory board of Internal Medicine News. Dr. Paauw has no conflicts to disclose. Contact him at [email protected].

References

1. Holme I, Anderssen SA. Increases in physical activity is as important as smoking cessation for reduction in total mortality in elderly men: 12 years of follow-up of the Oslo II study. Br J Sports Med. 2015; 49:743-8.

2. Stewart RAH et al. Physical activity and mortality in patients with stable coronary heart disease. J Am Coll Cardiol. 2017 Oct 3;70(14):1689-1700..

3. Saint-Maurice PF et al. Association of daily step count and step intensity with mortality among U.S. adults. JAMA 2020;323:1151-60.

4. Ackland HM et al. Danger at every rung: Epidemiology and outcomes of ICU-admitted ladder-related trauma. Injury. 2016;47:1109-117.

5. Vallmuur K et al. Falls from ladders in Australia: comparing occupational and nonoccupational injuries across age groups. Aust N Z J Public Health. 2016 Dec;40(6):559-63.

6. Schaffarczyk K et al. Nonoccupational falls from ladders in men 50 years and over: Contributing factors and impact. Injury. 2020 Aug;51(8):1798-1804.

I have been in practice for 31 years, so many of my patients are now in their 80s and 90s. Practices age with us, and I have been seeing many of these patients for 25-30 years. I have three rules I try to encourage my elderly patients follow, and I wanted to share them with you.

Absolutely, positively make sure you move!

Our older patients often have many reasons not to move, including pain from arthritis, deconditioning, muscle weakness, fatigue, and depression. “Keeping moving” is probably the most important thing a patient can do for their health.

Holme and Anderssen studied a large cohort of men for cardiovascular risk in 1972 and again in 2000. The surviving men were followed over an additional 12 years.¹ They found that 30 minutes of physical activity 6 days a week was associated with a 40% reduction in mortality. Sedentary men had a reduced life expectancy of about 5 years, compared with men who were moderately to vigorously physically active.

Stewart etal. studied the benefit of physical activity in people with stable coronary disease.² They concluded that, in patients with stable coronary heart disease, more physical activity was associated with lower mortality, and the largest benefit occurred in the sedentary patient groups and the highest cardiac risk groups.

Saint-Maurice et al. studied the effects of total daily step count and step intensity on mortality risk.³ They found that the risk of all-cause mortality decreases as the total number of daily steps increases, but that the speed of those steps did not make a difference. This is very encouraging data for our elderly patients. Moving is the secret, even if it may not be moving at a fast pace!
 

Never, ever get on a ladder!

This one should be part of every geriatric’s assessment and every Medicare wellness exam. I first experienced the horror of what can happen when elderly people climb when a 96-year-old healthy patient of mine fell off his roof and died. I never thought to tell him climbing on the roof was an awful idea.

Akland et al. looked at the epidemiology and outcomes of ladder-related falls that required ICU admission.⁴ Hospital mortality was 26%, and almost all of the mortalities occurred in older males in domestic falls, who died as a result of traumatic brain injury. Fewer than half of the survivors were living independently 1 year after the fall.

Valmuur et al. studied ladder related falls in Australia.⁵ They found that rates of ladder related falls requiring hospitalization rose from about 20/100,000 for men ages 15-29 years to 78/100,000 for men aged over 60 years. Of those who died from fall-related injury, 82% were over the age of 60, with more than 70% dying from head injuries.

Schaffarczyk et al. looked at the impact of nonoccupational falls from ladders in men aged over 50 years.⁶ The mean age of the patients in the study was 64 years (range, 50-85), with 27% suffering severe trauma. There was a striking impact on long-term function occurring in over half the study patients. The authors did interviews with patients in follow-up long after the falls and found that most never thought of themselves at risk for a fall, and after the experience of a bad fall, would never consider going on a ladder again. I think it is important for health care professionals to discuss the dangers of ladder use with our older patients, pointing out the higher risk of falling and the potential for the fall to be a life-changing or life-ending event.
 

Let them eat!

Many patients have a reduced appetite as they age. We work hard with our patients to choose a healthy diet throughout their lives, to help ward off obesity, treat hypertension, prevent or control diabetes, or provide heart health. Many patients just stop being interested in food, reduce intake, and may lose weight and muscle mass. When my patients pass the age of 85, I change my focus to encouraging them to eat for calories, socialization, and joy. I think the marginal benefits of more restrictive diets are small, compared with the benefits of helping your patients enjoy eating again. I ask patients what their very favorite foods are and encourage them to have them.

Pearl

Keep your patients eating and moving, except not onto a ladder!

Dr. Paauw is professor of medicine in the division of general internal medicine at the University of Washington, Seattle, and serves as third-year medical student clerkship director at the University of Washington. He is a member of the editorial advisory board of Internal Medicine News. Dr. Paauw has no conflicts to disclose. Contact him at [email protected].

References

1. Holme I, Anderssen SA. Increases in physical activity is as important as smoking cessation for reduction in total mortality in elderly men: 12 years of follow-up of the Oslo II study. Br J Sports Med. 2015; 49:743-8.

2. Stewart RAH et al. Physical activity and mortality in patients with stable coronary heart disease. J Am Coll Cardiol. 2017 Oct 3;70(14):1689-1700..

3. Saint-Maurice PF et al. Association of daily step count and step intensity with mortality among U.S. adults. JAMA 2020;323:1151-60.

4. Ackland HM et al. Danger at every rung: Epidemiology and outcomes of ICU-admitted ladder-related trauma. Injury. 2016;47:1109-117.

5. Vallmuur K et al. Falls from ladders in Australia: comparing occupational and nonoccupational injuries across age groups. Aust N Z J Public Health. 2016 Dec;40(6):559-63.

6. Schaffarczyk K et al. Nonoccupational falls from ladders in men 50 years and over: Contributing factors and impact. Injury. 2020 Aug;51(8):1798-1804.

Study Overview

Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.

Design. Nonrandomized, quasi-experimental pilot study.

Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.

At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.

Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.

Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).

The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.

Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).

Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.

Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.

Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.

Commentary

Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.^1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.^4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,^8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.

This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.

This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.

Applications for Clinical Practice

mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.

Katrina F. Mateo, PhD, MPH

Study Overview

Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.

Design. Nonrandomized, quasi-experimental pilot study.

Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.

At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.

Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.

Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).

The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.

Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).

Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.

Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.

Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.

Commentary

Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.^1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.^4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,^8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.

This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.

This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.

Applications for Clinical Practice

mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.

Katrina F. Mateo, PhD, MPH

Study Overview

Objective. To investigate the potential of Hospital Fit (a smartphone application with an accelerometer) to enhance physical activity levels and functional recovery following orthopedic surgery.

Design. Nonrandomized, quasi-experimental pilot study.

Settings and participants. Patients scheduled for an elective total knee arthroplasty (TKA) or total hip arthroplasty (THA) at the orthopedic ward of Maastricht University Medical Center in Maastricht, the Netherlands, were invited to participate. Patients scheduled for surgery between January 2017 and December 2018 were recruited for the control group at a rate of 1 patient per week (due to a limited number of accelerometers available). After development of Hospital Fit was completed in December 2018 (and sufficient accelerators had become available), patients scheduled for surgery between February 2019 and May 2019 were recruited for the intervention group. The ratio of patients included in the control and intervention group was set at 2:1, respectively.

At preoperative physiotherapy screenings (scheduled 6 weeks before surgery), patients received verbal and written information about the study. Patients were eligible if they met the following inclusion criteria: receiving physiotherapy after elective TKA or THA; able to walk independently 2 weeks prior to surgery, as scored on the Functional Ambulation Categories (FAC > 3); were expected to be discharged to their own home; were aged 18 years and older; and had a sufficient understanding of the Dutch language. Exclusion criteria were: the presence of contraindications to walking or wearing an accelerometer on the upper leg; admission to the intensive care unit; impaired cognition (delirium/dementia), as reported by the attending doctor; a life expectancy of less than 3 months; and previous participation in this study. Patients were contacted on the day of their surgery, and written informed consent was obtained prior to the initiation of any study activities.

Intervention. Once enrolled, all patients followed a standardized clinical care pathway for TKA or THA (see original article for additional details). Postoperative physiotherapy was administered to all participating patients, starting within 4 hours after surgery. The physiotherapy treatment was aimed at increasing physical activity levels and enhancing functional recovery. Control group patients only received physiotherapy (twice daily, 30 minutes per session) and had their physical activity levels monitored with an accelerometer, without receiving feedback, until functional recovery was achieved, as measured with the modified Iowa Level of Assistance Scale (mILAS). Intervention group patients used Hospital Fit in addition to physiotherapy. Hospital Fit consists of a smartphone-based app, connected to a MOX activity monitor via Bluetooth (device contains a tri-axial accelerometer sensor in a small waterproof housing attached to the upper leg). Hospital Fit enables objective activity monitoring, provides patients and their physiotherapists insights and real-time feedback on the number of minutes spent standing and walking per day, and offers a tailored exercise program supported by videos aimed at stimulating self-management.

Measures. The primary outcome measure was the time spent physically active (total number of minutes standing and walking) per day until discharge. Physical activity was monitored 24 hours a day; days with ≥ 20 hours of wear time were considered valid measurement days and were included in the analysis. After the last treatment session, the accelerometer was removed, and the raw tri-axial accelerometer data were uploaded and processed to classify minutes as “active” (standing and walking) or “sedentary” (lying and sitting). The secondary outcome measures were the achievement of functional recovery on postoperative day 1 (POD1). Functional recovery was assessed by the physiotherapist during each treatment session using the mILAS and was reported in the electronic health record. In the intervention group, it was also reported in the app. The achievement of functional recovery on POD1 was defined as having reached a total mILAS-score of 0 on or before POD1, using a dichotomized outcome (0 = mILAS = 0 > POD1; 1 = mILAS = 0 ≤ POD1).

The independent variables measured were: Hospital Fit use (control versus the intervention group), age, sex, body mass index (BMI), type of surgery (TKA or THA), and comorbidities assessed by the American Society of Anesthesiologists (ASA) classification (ASA class ≤ 2 versus ASA class = 3; a higher score indicates being less fit for surgery). The medical and demographic data measured were the type of walking aid used and length of stay, with the day of surgery being defined as day 1.

Analysis. Data analysis was performed according to the intention-to-treat principle. Missing values were not substituted; drop-outs were not replaced. Descriptive statistics were presented as means (SD) or as 95% confidence intervals (CI) for continuous variables. The median and interquartile ranges (IQR) were used to present non-normally distributed data. The frequencies and percentages were used to present categorical variables. A multiple linear regression analysis was performed to determine the association between the time spent physically active per day and Hospital Fit use, corrected for potential confounding factors (age, sex, BMI, ASA class, and type of surgery). A multiple logistic regression analysis was performed additionally to determine the association between the achievement of functional recovery on POD1 and Hospital Fit use, corrected for potential confounding factors. For all statistical analyses, the level of significance was set at P < 0.05. All statistical analyses were performed using SPSS (version 23.0.0.2; IBM Corporation, Armonk, NY).

Main results. Ninety-seven patients were recruited; after excluding 9 patients because of missing data, 88 were included for analysis, with 61 (69%) in the control group and 27 (31%) in the intervention group. A median (IQR) number of 1.00 (0) valid measurement days (≥ 20 hr wear time) was collected. Physical activity data for 84 patients (95%) was available on POD1 (n = 61 control group, n = 23 intervention group). On postoperative day 2 (POD2), the majority of patients were discharged (n = 61, 69%), and data for only 23 patients (26%) were available (n = 17 control, n = 6 intervention). From postoperative day 3 to day 7, data of valid measurement days were available for just 1 patient (intervention group). Due to the large reduction in valid measurement days from POD2 onward, data from these days were not included in the analysis.

Results of the multiple linear regression analysis showed that, corrected for age, patients who used Hospital Fit stood and walked an average of 28.43 minutes (95% CI, 5.55-51.32) more on POD1 than patients who did not use Hospital Fit. Also, the model showed that an increase in age led to a decrease in the number of minutes standing and walking on POD1. The results of the multiple logistic regression analysis also showed that, corrected for ASA class, the odds of achieving functional recovery on POD1 were 3.08 times higher (95% CI, 1.14-8.31) for patients who used Hospital Fit compared to patients who did not use Hospital Fit. Including ASA class in the model shows that a lower ASA class increased the odds ratio for a functional recovery on POD1.

Conclusion. A smartphone app combined with an accelerometer demonstrates the potential to enhance patients’ physical activity levels and functional recovery during hospitalization following joint replacement surgery.

Commentary

Although the beneficial effects of physical activity during hospitalization after surgery are well documented, patients continue to spend between 92% and 96% of their time lying or sitting.^1-3 Therefore, strategies aimed at increasing the amount of time spent standing and walking are needed. Postoperative physiotherapy aims to enhance physical activity levels and functional recovery of activities of daily living, which are essential to function independently at home.^4-7 Physiotherapists may be able to advise patients more effectively on their physical activity behavior if continuous physical activity monitoring with real-time feedback is implemented in standard care. Although mobile health (mHealth) tools are being used to monitor physical activity in support of outpatient physiotherapy within the orthopedic rehabilitation pathway,^8-10 there is currently no mHealth tool available that offers hospitalized patients and their physiotherapists essential strategies to enhance their physical activity levels and support their recovery process. In addition, because hospitalized patients frequently use walking aids and often have impaired gait, the algorithm of most available activity monitors is not validated for use in this population.

This study, therefore, is an important contribution to the literature, as it describes a preliminary evaluation of a novel mHealth tool—Hospital Fit—consisting of a smartphone application connected to an accelerometer whose algorithm has been validated to differentiate between lying/sitting and standing/walking among hospitalized patients. Briefly, results from this study showed an increase in the time spent standing and walking, as well as higher odds of functional recovery on POD1 from the introduction of Hospital Fit. While guidelines on the recommended amount of physical activity during hospitalization do not yet exist, an average improvement of 28 minutes (39%) standing and walking on POD1 can be considered a clinically relevant contribution to prevent the negative effects of inactivity.

This study has limitations, particularly related to the study design, which is acknowledged by the authors. The current study was a nonrandomized, quasi-experimental pilot study implemented at a single medical center, and therefore, the results have limited generalizability and more importantly, may not only be attributable to the introduction of Hospital Fit. In addition, as there was lag in patient recruitment where patients were initially selected for the control group over the course of 1 year, followed by selection of patients for the intervention group over 4 months (once Hospital Fit was developed), it is possible that awareness on the importance of physical activity during hospitalization increased among patients and health care professionals, which may have resulted in a bias in favor of the intervention group (and thus a potentially slight overestimation of results). Also, as individual functionalities of Hospital Fit were not investigated, relationships between each functionality and physical activity could not be established. As the authors indicated, future research is needed to determine the effectiveness of Hospital Fit (ie, a larger, cluster randomized controlled trial in a population of hospitalized patients with a longer length of stay). This study design would also enable investigation of the effect of individual functionalities of Hospital Fit on physical activity.

Applications for Clinical Practice

mHealth tools have the potential to increase patient awareness, support personalized care, and stimulate self-management. This study highlights the potential for a novel mHealth tool—Hospital Fit—to improve the amount of physical activity and shorten the time to functional recovery in hospitalized patients following orthopedic surgery. Further, mHealth tools like Hospital Fit may have a greater impact when the hospital stay of a patient permits the use of the tool for a longer period of time. More broadly, continuous objective monitoring through mHealth tools may provide patients and their physiotherapists enhanced and more detailed data to support and create more personalized recovery goals and related strategies.

Katrina F. Mateo, PhD, MPH

Consuming more milk, cheese, or yogurt might be a simple, low-cost way to boost bone health and prevent some falls and fractures in older people living in long-term care facilities, according to a new randomized study from Australia.

“Supplementation using dairy foods is likely to be an effective, safe, widely available, and low cost means of curtailing the public health burden of fractures,” said Sandra Iuliano, PhD, from the University of Melbourne, who presented the findings during the virtual American Society of Bone and Mineral Research 2020 annual meeting.

The researchers randomized 60 old-age institutions to provide residents with their usual menus or a diet with more milk, cheese, or yogurt for 2 years.

The residents with the altered menus increased their dairy consumption from 2 servings/day to 3.5 servings/day, which was reflected in a greater intake of calcium and protein, along with fewer falls, total fractures, and hip fractures than in the control group.

“This is the first randomized trial to show a benefit of dairy food intake on risk of fractures,” Walter Willett, MD, DrPH, professor of nutrition and epidemiology at the Harvard School of Public Health, Boston, said in an interview.

The results are “not surprising” because supplements of calcium plus vitamin D have reduced the risk of fractures in a similar population of older residents living in special living facilities, said Dr. Willett, coauthor of a recent review article, “Milk and Health,” published in the New England Journal of Medicine.

“It is important for everyone to have adequate intake of calcium and vitamin D,” he said. However, “it isn’t clear whether it is better to ensure this clinically by supplements, overall healthy diet, or extra dairy intake,” he added, noting that consuming the amount of dairy given in this Australian study is not environmentally sustainable.

Clifford Rosen, MD, professor of medicine, Tufts University, Boston, said in an interview that the Australian researchers studied the impact of increased dietary calcium and protein, not the impact of vitamin D via supplements.

“This is progress toward getting interventions to our most needy residents to prevent fractures – probably the most compelling data that we have had in a number of years,” he noted.

The current study shows “it’s not [the] vitamin D,” because the residents had initial low calcium levels but normal vitamin D levels. “For too long we’ve been stuck on the idea that it is [increasing] vitamin D in the elderly that causes a reduction in fractures,” said Dr. Rosen. “The data are not very supportive of it, but people continue to think that’s the most important element.”

On the other hand, the current study raises certain questions. “What we don’t know is, is it the calcium, or is it the protein, or the combination, that had an impact?”

Would upping dairy decrease falls?

Older adults living in institutions have a high risk of falls and fractures, including hip fractures, and “malnutrition is common,” said Dr. Iuliano during her presentation.

Prior studies have reported that such residents have a daily dietary calcium intake of 635 mg (half the recommended 1,300 mg), a protein intake of 0.8 g/kg body weight (less than the recommended 1 g/kg body weight), and a dairy intake of 1.5 servings (about a third of the recommended amount), she said.

The group hypothesized that upping dairy intake of elderly residents living in long-term care institutions would reduce the risk of fractures. They performed a 2-year cluster-randomized trial in 60 facilities in Melbourne and surrounding areas.

Half gave their 3,301 residents menus with a higher dairy content, and the other half gave their 3,894 residents (controls) the usual menus.

The residents in both groups had similar characteristics: they were a mean age of 87 years and 68% were women. A subgroup had blood tests and bone morphology studies at baseline and 1 year.

Researchers verified nutrient intake by analyzing the menus and doing plate waste analysis for a subgroup, and they determined the number of falls and fractures from incident and hospital x-ray reports, respectively.
 

One-third fewer fractures in the higher-dairy group

At the study start, residents in both groups had similar vitamin D levels (72 nmol/L) and bone morphology. They were consuming two servings of dairy food and drink a day, where a serving was 250 mL of milk (including lactose-free milk) or 200 g of yogurt or 40 g of cheese.

Their initial daily calcium intake was 650 mg, which stayed the same in the control group, but increased to >1100 mg in the intervention group.

Their initial daily protein intake was around 59 g, which remained the same in the control group, but increased to about 72 grams (1.1 g/kg body weight) in the intervention group.

At 2 years, the 1.5 servings/day increase in dairy intake in the control versus intervention group was associated with an 11% reduction in falls (62% vs. 57%), a 33% reduction in fractures (5.2% vs. 3.7%), a 46% reduction in hip fractures (2.4% vs. 1.3%), and no difference in mortality (28% in both groups).

The intervention was also associated with a slowing in bone loss and an increase in insulinlike growth factor–1.
 

Four dairy servings a day “is high”

Dr. Willett said that “it is reasonable for seniors to take one or two servings of dairy per day, but four servings per day, as in this study, is probably not necessary.”

Moreover, “dairy production has a major impact on greenhouse gas emissions, and even two servings per day would not be environmentally sustainable if everyone were to consume this amount,” he observed.

“Because the world is facing an existential threat from climate change, general advice to consume high amounts of dairy products would be irresponsible as we can get all essential nutrients from other sources,” he added. “That said, modest amounts of dairy foods, such as one to two servings per day could be reasonable. There is some suggestive evidence that dairy in the form of yogurt may have particular benefits.”

The study was funded by Melbourne University and various dietary councils. Dr. Iuliano reported receiving lecture fees from Abbott. Dr. Rosen and Dr. Willett reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Consuming more milk, cheese, or yogurt might be a simple, low-cost way to boost bone health and prevent some falls and fractures in older people living in long-term care facilities, according to a new randomized study from Australia.

“Supplementation using dairy foods is likely to be an effective, safe, widely available, and low cost means of curtailing the public health burden of fractures,” said Sandra Iuliano, PhD, from the University of Melbourne, who presented the findings during the virtual American Society of Bone and Mineral Research 2020 annual meeting.

The researchers randomized 60 old-age institutions to provide residents with their usual menus or a diet with more milk, cheese, or yogurt for 2 years.

The residents with the altered menus increased their dairy consumption from 2 servings/day to 3.5 servings/day, which was reflected in a greater intake of calcium and protein, along with fewer falls, total fractures, and hip fractures than in the control group.

“This is the first randomized trial to show a benefit of dairy food intake on risk of fractures,” Walter Willett, MD, DrPH, professor of nutrition and epidemiology at the Harvard School of Public Health, Boston, said in an interview.

The results are “not surprising” because supplements of calcium plus vitamin D have reduced the risk of fractures in a similar population of older residents living in special living facilities, said Dr. Willett, coauthor of a recent review article, “Milk and Health,” published in the New England Journal of Medicine.

“It is important for everyone to have adequate intake of calcium and vitamin D,” he said. However, “it isn’t clear whether it is better to ensure this clinically by supplements, overall healthy diet, or extra dairy intake,” he added, noting that consuming the amount of dairy given in this Australian study is not environmentally sustainable.

Clifford Rosen, MD, professor of medicine, Tufts University, Boston, said in an interview that the Australian researchers studied the impact of increased dietary calcium and protein, not the impact of vitamin D via supplements.

“This is progress toward getting interventions to our most needy residents to prevent fractures – probably the most compelling data that we have had in a number of years,” he noted.

The current study shows “it’s not [the] vitamin D,” because the residents had initial low calcium levels but normal vitamin D levels. “For too long we’ve been stuck on the idea that it is [increasing] vitamin D in the elderly that causes a reduction in fractures,” said Dr. Rosen. “The data are not very supportive of it, but people continue to think that’s the most important element.”

On the other hand, the current study raises certain questions. “What we don’t know is, is it the calcium, or is it the protein, or the combination, that had an impact?”

Would upping dairy decrease falls?

Older adults living in institutions have a high risk of falls and fractures, including hip fractures, and “malnutrition is common,” said Dr. Iuliano during her presentation.

Prior studies have reported that such residents have a daily dietary calcium intake of 635 mg (half the recommended 1,300 mg), a protein intake of 0.8 g/kg body weight (less than the recommended 1 g/kg body weight), and a dairy intake of 1.5 servings (about a third of the recommended amount), she said.

The group hypothesized that upping dairy intake of elderly residents living in long-term care institutions would reduce the risk of fractures. They performed a 2-year cluster-randomized trial in 60 facilities in Melbourne and surrounding areas.

Half gave their 3,301 residents menus with a higher dairy content, and the other half gave their 3,894 residents (controls) the usual menus.

The residents in both groups had similar characteristics: they were a mean age of 87 years and 68% were women. A subgroup had blood tests and bone morphology studies at baseline and 1 year.

Researchers verified nutrient intake by analyzing the menus and doing plate waste analysis for a subgroup, and they determined the number of falls and fractures from incident and hospital x-ray reports, respectively.
 

One-third fewer fractures in the higher-dairy group

At the study start, residents in both groups had similar vitamin D levels (72 nmol/L) and bone morphology. They were consuming two servings of dairy food and drink a day, where a serving was 250 mL of milk (including lactose-free milk) or 200 g of yogurt or 40 g of cheese.

Their initial daily calcium intake was 650 mg, which stayed the same in the control group, but increased to >1100 mg in the intervention group.

Their initial daily protein intake was around 59 g, which remained the same in the control group, but increased to about 72 grams (1.1 g/kg body weight) in the intervention group.

At 2 years, the 1.5 servings/day increase in dairy intake in the control versus intervention group was associated with an 11% reduction in falls (62% vs. 57%), a 33% reduction in fractures (5.2% vs. 3.7%), a 46% reduction in hip fractures (2.4% vs. 1.3%), and no difference in mortality (28% in both groups).

The intervention was also associated with a slowing in bone loss and an increase in insulinlike growth factor–1.
 

Four dairy servings a day “is high”

Dr. Willett said that “it is reasonable for seniors to take one or two servings of dairy per day, but four servings per day, as in this study, is probably not necessary.”

Moreover, “dairy production has a major impact on greenhouse gas emissions, and even two servings per day would not be environmentally sustainable if everyone were to consume this amount,” he observed.

“Because the world is facing an existential threat from climate change, general advice to consume high amounts of dairy products would be irresponsible as we can get all essential nutrients from other sources,” he added. “That said, modest amounts of dairy foods, such as one to two servings per day could be reasonable. There is some suggestive evidence that dairy in the form of yogurt may have particular benefits.”

The study was funded by Melbourne University and various dietary councils. Dr. Iuliano reported receiving lecture fees from Abbott. Dr. Rosen and Dr. Willett reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Consuming more milk, cheese, or yogurt might be a simple, low-cost way to boost bone health and prevent some falls and fractures in older people living in long-term care facilities, according to a new randomized study from Australia.

“Supplementation using dairy foods is likely to be an effective, safe, widely available, and low cost means of curtailing the public health burden of fractures,” said Sandra Iuliano, PhD, from the University of Melbourne, who presented the findings during the virtual American Society of Bone and Mineral Research 2020 annual meeting.

The researchers randomized 60 old-age institutions to provide residents with their usual menus or a diet with more milk, cheese, or yogurt for 2 years.

The residents with the altered menus increased their dairy consumption from 2 servings/day to 3.5 servings/day, which was reflected in a greater intake of calcium and protein, along with fewer falls, total fractures, and hip fractures than in the control group.

“This is the first randomized trial to show a benefit of dairy food intake on risk of fractures,” Walter Willett, MD, DrPH, professor of nutrition and epidemiology at the Harvard School of Public Health, Boston, said in an interview.

The results are “not surprising” because supplements of calcium plus vitamin D have reduced the risk of fractures in a similar population of older residents living in special living facilities, said Dr. Willett, coauthor of a recent review article, “Milk and Health,” published in the New England Journal of Medicine.

“It is important for everyone to have adequate intake of calcium and vitamin D,” he said. However, “it isn’t clear whether it is better to ensure this clinically by supplements, overall healthy diet, or extra dairy intake,” he added, noting that consuming the amount of dairy given in this Australian study is not environmentally sustainable.

Clifford Rosen, MD, professor of medicine, Tufts University, Boston, said in an interview that the Australian researchers studied the impact of increased dietary calcium and protein, not the impact of vitamin D via supplements.

“This is progress toward getting interventions to our most needy residents to prevent fractures – probably the most compelling data that we have had in a number of years,” he noted.

The current study shows “it’s not [the] vitamin D,” because the residents had initial low calcium levels but normal vitamin D levels. “For too long we’ve been stuck on the idea that it is [increasing] vitamin D in the elderly that causes a reduction in fractures,” said Dr. Rosen. “The data are not very supportive of it, but people continue to think that’s the most important element.”

On the other hand, the current study raises certain questions. “What we don’t know is, is it the calcium, or is it the protein, or the combination, that had an impact?”

Would upping dairy decrease falls?

Older adults living in institutions have a high risk of falls and fractures, including hip fractures, and “malnutrition is common,” said Dr. Iuliano during her presentation.

Prior studies have reported that such residents have a daily dietary calcium intake of 635 mg (half the recommended 1,300 mg), a protein intake of 0.8 g/kg body weight (less than the recommended 1 g/kg body weight), and a dairy intake of 1.5 servings (about a third of the recommended amount), she said.

The group hypothesized that upping dairy intake of elderly residents living in long-term care institutions would reduce the risk of fractures. They performed a 2-year cluster-randomized trial in 60 facilities in Melbourne and surrounding areas.

Half gave their 3,301 residents menus with a higher dairy content, and the other half gave their 3,894 residents (controls) the usual menus.

The residents in both groups had similar characteristics: they were a mean age of 87 years and 68% were women. A subgroup had blood tests and bone morphology studies at baseline and 1 year.

Researchers verified nutrient intake by analyzing the menus and doing plate waste analysis for a subgroup, and they determined the number of falls and fractures from incident and hospital x-ray reports, respectively.
 

One-third fewer fractures in the higher-dairy group

At the study start, residents in both groups had similar vitamin D levels (72 nmol/L) and bone morphology. They were consuming two servings of dairy food and drink a day, where a serving was 250 mL of milk (including lactose-free milk) or 200 g of yogurt or 40 g of cheese.

Their initial daily calcium intake was 650 mg, which stayed the same in the control group, but increased to >1100 mg in the intervention group.

Their initial daily protein intake was around 59 g, which remained the same in the control group, but increased to about 72 grams (1.1 g/kg body weight) in the intervention group.

At 2 years, the 1.5 servings/day increase in dairy intake in the control versus intervention group was associated with an 11% reduction in falls (62% vs. 57%), a 33% reduction in fractures (5.2% vs. 3.7%), a 46% reduction in hip fractures (2.4% vs. 1.3%), and no difference in mortality (28% in both groups).

The intervention was also associated with a slowing in bone loss and an increase in insulinlike growth factor–1.
 

Four dairy servings a day “is high”

Dr. Willett said that “it is reasonable for seniors to take one or two servings of dairy per day, but four servings per day, as in this study, is probably not necessary.”

Moreover, “dairy production has a major impact on greenhouse gas emissions, and even two servings per day would not be environmentally sustainable if everyone were to consume this amount,” he observed.

“Because the world is facing an existential threat from climate change, general advice to consume high amounts of dairy products would be irresponsible as we can get all essential nutrients from other sources,” he added. “That said, modest amounts of dairy foods, such as one to two servings per day could be reasonable. There is some suggestive evidence that dairy in the form of yogurt may have particular benefits.”

The study was funded by Melbourne University and various dietary councils. Dr. Iuliano reported receiving lecture fees from Abbott. Dr. Rosen and Dr. Willett reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.