From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)

Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.

Design: Retrospective observational study.

Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.

Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).

Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ² tests were used to analyze the data.

Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.

Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.

Keywords: physiotherapy; rehabilitation; clinical outcome measures.

Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.^1,2

Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.^3-7

There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.^8,9

The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.

There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,¹⁰ as well as among older people hospitalized for medical illness.^11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,¹⁴ and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.¹⁵ Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,^16-18 and for patients after joint arthroplasty^19,20 or hip fracture.²¹ It has also been shown to be an indicator of fall risk,^22-24 as well as a predictor of fracture incidence.²⁵ Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.²⁶ It has also been shown to be an early identifier of patients in need of rehabilitation.²⁷ Normative values for TUG have been reported, and the association with gait time established.²⁸

Gait speed has been shown to predict adverse outcomes in community-dwelling older people.²⁹ In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.³⁰ Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.^31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.^26,34,36

Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.^37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.⁴⁴ It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.⁴⁵ Inpatient rehabilitation centers are evaluated and compared by the AROC,⁴⁶ with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.

A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.

The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established²⁸; however, their relationship to the FIM is unknown.

Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.

The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.

Methods

Study design and setting

This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.⁴⁶ Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.

Participants

Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)

Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n  = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.

Outcome measures

DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.

The TUG assesses a patient’s dynamic balance performance.⁴⁷ The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.

The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.

Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.

The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.

Statistical analysis

Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ² tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.⁴⁶ Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).

Results

The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.

Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points⁴⁸), TUG (2.08 s²⁶), walking speed 0.19 m/s²⁶, and FIM Motor (14.6 points⁴⁹).

Association of functional outcomes (change scores)

There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).

Discussion

The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.

The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.^22,23 This is a pertinent issue in the rehabilitation and geriatric population.²⁹ Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.

It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.²⁷ This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.

Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.

Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.

Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.

Conclusion

The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.

Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.

Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; [email protected].

Financial disclosures: None.

From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)

Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.

Design: Retrospective observational study.

Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.

Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).

Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ² tests were used to analyze the data.

Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.

Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.

Keywords: physiotherapy; rehabilitation; clinical outcome measures.

Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.^1,2

Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.^3-7

There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.^8,9

The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.

There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,¹⁰ as well as among older people hospitalized for medical illness.^11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,¹⁴ and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.¹⁵ Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,^16-18 and for patients after joint arthroplasty^19,20 or hip fracture.²¹ It has also been shown to be an indicator of fall risk,^22-24 as well as a predictor of fracture incidence.²⁵ Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.²⁶ It has also been shown to be an early identifier of patients in need of rehabilitation.²⁷ Normative values for TUG have been reported, and the association with gait time established.²⁸

Gait speed has been shown to predict adverse outcomes in community-dwelling older people.²⁹ In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.³⁰ Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.^31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.^26,34,36

Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.^37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.⁴⁴ It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.⁴⁵ Inpatient rehabilitation centers are evaluated and compared by the AROC,⁴⁶ with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.

A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.

The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established²⁸; however, their relationship to the FIM is unknown.

Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.

The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.

Methods

Study design and setting

This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.⁴⁶ Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.

Participants

Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)

Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n  = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.

Outcome measures

DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.

The TUG assesses a patient’s dynamic balance performance.⁴⁷ The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.

The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.

Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.

The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.

Statistical analysis

Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ² tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.⁴⁶ Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).

Results

The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.

Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points⁴⁸), TUG (2.08 s²⁶), walking speed 0.19 m/s²⁶, and FIM Motor (14.6 points⁴⁹).

Association of functional outcomes (change scores)

There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).

Discussion

The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.

The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.^22,23 This is a pertinent issue in the rehabilitation and geriatric population.²⁹ Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.

It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.²⁷ This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.

Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.

Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.

Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.

Conclusion

The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.

Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.

Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; [email protected].

Financial disclosures: None.

From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)

Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.

Design: Retrospective observational study.

Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.

Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).

Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ² tests were used to analyze the data.

Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.

Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.

Keywords: physiotherapy; rehabilitation; clinical outcome measures.

Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.^1,2

Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.^3-7

There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.^8,9

The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.

There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,¹⁰ as well as among older people hospitalized for medical illness.^11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,¹⁴ and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.¹⁵ Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,^16-18 and for patients after joint arthroplasty^19,20 or hip fracture.²¹ It has also been shown to be an indicator of fall risk,^22-24 as well as a predictor of fracture incidence.²⁵ Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.²⁶ It has also been shown to be an early identifier of patients in need of rehabilitation.²⁷ Normative values for TUG have been reported, and the association with gait time established.²⁸

Gait speed has been shown to predict adverse outcomes in community-dwelling older people.²⁹ In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.³⁰ Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.^31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.^26,34,36

Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.^37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.⁴⁴ It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.⁴⁵ Inpatient rehabilitation centers are evaluated and compared by the AROC,⁴⁶ with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.

A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.

The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established²⁸; however, their relationship to the FIM is unknown.

Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.

The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.

Methods

Study design and setting

This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.⁴⁶ Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.

Participants

Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)

Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n  = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.

Outcome measures

DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.

The TUG assesses a patient’s dynamic balance performance.⁴⁷ The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.

The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.

Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.

The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.

Statistical analysis

Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ² tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.⁴⁶ Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).

Results

The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.

Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points⁴⁸), TUG (2.08 s²⁶), walking speed 0.19 m/s²⁶, and FIM Motor (14.6 points⁴⁹).

Association of functional outcomes (change scores)

There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).

Discussion

The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.

The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.^22,23 This is a pertinent issue in the rehabilitation and geriatric population.²⁹ Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.

It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.²⁷ This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.

Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.

Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.

Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.

Conclusion

The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.

Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.

Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; [email protected].

Financial disclosures: None.

Higher poverty concentration at the county level significantly increased the risk of firearm-related deaths in children and youth aged 5-24 years in the United States, based on a review of approximately 67,000 fatalities.

Firearms are the second-leading cause of death in children and young adults in the United States, according to data from the Centers for Disease Control and Prevention, wrote Jefferson T. Barrett, MD, of The Children’s Hospital at Montefiore, New York, and colleagues. County-level poverty has been associated with increased injury mortality in children, but the association between county-level poverty and firearm-related mortality in particular has not been well studied.

In a cross-sectional study published in JAMA Pediatrics, 67,905 firearm-related deaths in children and youth aged 5-24 years that occurred between Jan. 1, 2007, and Dec. 31, 2016 were analyzed. The deaths included 42,512 homicides (62.6%), 23,034 suicides (33.9%), and 1,627 unintentional deaths (2.4%).

County poverty data were acquired from the U.S. Census Bureau. County-level poverty was divided into five categories based on percentage of the population living below the federal poverty level: 0%-4.9%, 5%-9.9%, 10%-14.9%, 15%-19.9%, and 20% or more.

Overall, 88.6% of the total deaths were in males. Notably, 44.8% of total firearm-related deaths and 63.9% of homicides occurred in non-Hispanic Blacks, who make up only 14% of the youth population in the United States, the researchers wrote.

The total number of firearm-related deaths was 248 in the lowest quintile of poverty concentration, followed by 6,841, 18,551, 27,305, and 14,960 in the remaining quintiles.

In a multivariate regression model that included demographics, urban versus rural, and statewide firearm prevalence, youth in counties with the highest quintile of poverty concentration had an increased rate of total firearm-related deaths (adjusted incidence rate ratio, 2.29), as well as increased rates of homicides, suicides, and unintentional deaths (aIRR, 3.55, 1.45, and 9.32, respectively), compared with those living in the lowest quintile of poverty concentration. Individuals in the highest poverty quintile accounted for 22.0% of total firearm-related deaths, 25.5% of homicides, 15.3% of suicides, and 25.1% of unintentional deaths.

The researchers also calculated the population-attributable fraction (PAF) and years of potential life lost. “The PAF represents the proportion of deaths associated with a particular exposure, which was concentrated county poverty in this study,” they explained. The PAF for all firearm-related deaths was 0.51, PAFs for homicides, suicides, and unintentional deaths were 0.66, 0.30, and 0.86, respectively. The PAF calculation translated to 34,292 firearm-related deaths that may not have occurred if youth in all counties had the same risk as those in counties with the lowest poverty concentration.

“Over the 10-year study period, we observed 3,833,105 years of potential life lost in youth aged 5-24 years from firearm-related deaths,” the researchers wrote.

The study findings were limited by several factors including the potential bias of a cross-section design, and inability to account for all the ways that county-level poverty might increase the risk of firearm-related death in children and teens, the researchers noted. Other potential limitations include possible misclassification of death, lack of data on individual family incomes, shifts in counties in the poverty categories over time, and the use of statewide, rather than countywide, estimates of firearm ownership.

However, the results are consistent with those of previous studies, and add that “mortality rates were consistent even after controlling for demographic variables, county urbanicity, and statewide firearm prevalence,” the researchers concluded.
 

Address structural racism to reduce disparities

“Firearm-related homicides among youth aged 5-24 years are among the causes of death with the greatest disparities,” based on CDC fatal injury reports, wrote Alice M. Ellyson, PhD, Frederick P. Rivara, MD, and Ali Rowhani-Rahbar, MD, all of the University of Washington, Seattle, in an accompanying editorial.

The current study builds on previous research, including studies showing an association between income inequality and firearm-related homicide, they said. More research is needed to determine how to intervene in the pathways between poverty and firearm-related death. For example, if access to high-quality health care is a factor, programs to increase access to health insurance, such as the Affordable Care Act and Children’s Health Insurance Program, or to increase access to high-quality trauma care may help reduce firearm-related death in youth.

“The study of where, how, and why racism operates as a factor in both poverty and firearm-related death must continue, especially considering the disparities consistently documented in Alaska Native or American Indian, Black, and Hispanic communities,” the editorialists wrote.

“Key potential mechanisms for reducing the consequences of poverty for firearm-related death are often denied to racial and ethnic minority groups through a variety of structures, policies, and systems in health care, employment, housing, transportation, and education,” they emphasized, and the impact of racism, not only on the pathways to poverty, but also on mediators between poverty and firearm-related death, must be explored.

Findings spotlight need to for poverty programs

The study was an interesting look at the specific relationship between poverty and firearm-related deaths in people aged younger than 25 years in the United States, Tim Joos, MD, of Seattle said in an interview.

“Although America is not a poor country, the combination of poverty within America and its unique gun culture seems to prove deadly for its youth,” Dr. Joos said. “The strongest relationship is between firearm-related homicide and poverty, but unintentional firearm deaths and poverty also are clearly linked, whereas the link between firearm-related suicide and poverty appears to be present, but small.”.

In the current study, “the authors note that firearm deaths are the second-leading cause of death among all people ages 15-24 years,” said Dr. Joos. “Many of us have followed children from infancy just to have them meet this untimely end as adolescents, wishing we had a vaccine or other remedy in our toolbelt for this particular scourge.

“As our country currently debates the size of the social safety net, this study is one of many that suggests government programs aimed at poverty alleviation would substantially contribute to the health of American youth,” Dr. Joos added.

The study received no outside funding. Lead author Dr. Barrett had no financial conflicts to disclose. Dr. Ellyson disclosed funds from the CDC, the state of Washington, and the Grandmothers Against Gun Violence Foundation for research outside the submitted work. Dr. Rivara disclosed funds from the National Institutes of Health, the State of Washington, and the National Collaborative on Gun Violence Research for research outside the submitted work. Dr. Rowhani-Rahbar disclosed funds from the CDC, National Institutes of Health, National Collaborative on Gun Violence Research, Fund for a Safer Future, and state of Washington for research outside the submitted work. Dr. Joos had no financial conflicts to disclose, but serves on the editorial advisory board of Pediatric News.

Higher poverty concentration at the county level significantly increased the risk of firearm-related deaths in children and youth aged 5-24 years in the United States, based on a review of approximately 67,000 fatalities.

Firearms are the second-leading cause of death in children and young adults in the United States, according to data from the Centers for Disease Control and Prevention, wrote Jefferson T. Barrett, MD, of The Children’s Hospital at Montefiore, New York, and colleagues. County-level poverty has been associated with increased injury mortality in children, but the association between county-level poverty and firearm-related mortality in particular has not been well studied.

In a cross-sectional study published in JAMA Pediatrics, 67,905 firearm-related deaths in children and youth aged 5-24 years that occurred between Jan. 1, 2007, and Dec. 31, 2016 were analyzed. The deaths included 42,512 homicides (62.6%), 23,034 suicides (33.9%), and 1,627 unintentional deaths (2.4%).

County poverty data were acquired from the U.S. Census Bureau. County-level poverty was divided into five categories based on percentage of the population living below the federal poverty level: 0%-4.9%, 5%-9.9%, 10%-14.9%, 15%-19.9%, and 20% or more.

Overall, 88.6% of the total deaths were in males. Notably, 44.8% of total firearm-related deaths and 63.9% of homicides occurred in non-Hispanic Blacks, who make up only 14% of the youth population in the United States, the researchers wrote.

The total number of firearm-related deaths was 248 in the lowest quintile of poverty concentration, followed by 6,841, 18,551, 27,305, and 14,960 in the remaining quintiles.

In a multivariate regression model that included demographics, urban versus rural, and statewide firearm prevalence, youth in counties with the highest quintile of poverty concentration had an increased rate of total firearm-related deaths (adjusted incidence rate ratio, 2.29), as well as increased rates of homicides, suicides, and unintentional deaths (aIRR, 3.55, 1.45, and 9.32, respectively), compared with those living in the lowest quintile of poverty concentration. Individuals in the highest poverty quintile accounted for 22.0% of total firearm-related deaths, 25.5% of homicides, 15.3% of suicides, and 25.1% of unintentional deaths.

The researchers also calculated the population-attributable fraction (PAF) and years of potential life lost. “The PAF represents the proportion of deaths associated with a particular exposure, which was concentrated county poverty in this study,” they explained. The PAF for all firearm-related deaths was 0.51, PAFs for homicides, suicides, and unintentional deaths were 0.66, 0.30, and 0.86, respectively. The PAF calculation translated to 34,292 firearm-related deaths that may not have occurred if youth in all counties had the same risk as those in counties with the lowest poverty concentration.

“Over the 10-year study period, we observed 3,833,105 years of potential life lost in youth aged 5-24 years from firearm-related deaths,” the researchers wrote.

The study findings were limited by several factors including the potential bias of a cross-section design, and inability to account for all the ways that county-level poverty might increase the risk of firearm-related death in children and teens, the researchers noted. Other potential limitations include possible misclassification of death, lack of data on individual family incomes, shifts in counties in the poverty categories over time, and the use of statewide, rather than countywide, estimates of firearm ownership.

However, the results are consistent with those of previous studies, and add that “mortality rates were consistent even after controlling for demographic variables, county urbanicity, and statewide firearm prevalence,” the researchers concluded.
 

Address structural racism to reduce disparities

“Firearm-related homicides among youth aged 5-24 years are among the causes of death with the greatest disparities,” based on CDC fatal injury reports, wrote Alice M. Ellyson, PhD, Frederick P. Rivara, MD, and Ali Rowhani-Rahbar, MD, all of the University of Washington, Seattle, in an accompanying editorial.

The current study builds on previous research, including studies showing an association between income inequality and firearm-related homicide, they said. More research is needed to determine how to intervene in the pathways between poverty and firearm-related death. For example, if access to high-quality health care is a factor, programs to increase access to health insurance, such as the Affordable Care Act and Children’s Health Insurance Program, or to increase access to high-quality trauma care may help reduce firearm-related death in youth.

“The study of where, how, and why racism operates as a factor in both poverty and firearm-related death must continue, especially considering the disparities consistently documented in Alaska Native or American Indian, Black, and Hispanic communities,” the editorialists wrote.

“Key potential mechanisms for reducing the consequences of poverty for firearm-related death are often denied to racial and ethnic minority groups through a variety of structures, policies, and systems in health care, employment, housing, transportation, and education,” they emphasized, and the impact of racism, not only on the pathways to poverty, but also on mediators between poverty and firearm-related death, must be explored.

Findings spotlight need to for poverty programs

The study was an interesting look at the specific relationship between poverty and firearm-related deaths in people aged younger than 25 years in the United States, Tim Joos, MD, of Seattle said in an interview.

“Although America is not a poor country, the combination of poverty within America and its unique gun culture seems to prove deadly for its youth,” Dr. Joos said. “The strongest relationship is between firearm-related homicide and poverty, but unintentional firearm deaths and poverty also are clearly linked, whereas the link between firearm-related suicide and poverty appears to be present, but small.”.

In the current study, “the authors note that firearm deaths are the second-leading cause of death among all people ages 15-24 years,” said Dr. Joos. “Many of us have followed children from infancy just to have them meet this untimely end as adolescents, wishing we had a vaccine or other remedy in our toolbelt for this particular scourge.

“As our country currently debates the size of the social safety net, this study is one of many that suggests government programs aimed at poverty alleviation would substantially contribute to the health of American youth,” Dr. Joos added.

The study received no outside funding. Lead author Dr. Barrett had no financial conflicts to disclose. Dr. Ellyson disclosed funds from the CDC, the state of Washington, and the Grandmothers Against Gun Violence Foundation for research outside the submitted work. Dr. Rivara disclosed funds from the National Institutes of Health, the State of Washington, and the National Collaborative on Gun Violence Research for research outside the submitted work. Dr. Rowhani-Rahbar disclosed funds from the CDC, National Institutes of Health, National Collaborative on Gun Violence Research, Fund for a Safer Future, and state of Washington for research outside the submitted work. Dr. Joos had no financial conflicts to disclose, but serves on the editorial advisory board of Pediatric News.

Higher poverty concentration at the county level significantly increased the risk of firearm-related deaths in children and youth aged 5-24 years in the United States, based on a review of approximately 67,000 fatalities.

Firearms are the second-leading cause of death in children and young adults in the United States, according to data from the Centers for Disease Control and Prevention, wrote Jefferson T. Barrett, MD, of The Children’s Hospital at Montefiore, New York, and colleagues. County-level poverty has been associated with increased injury mortality in children, but the association between county-level poverty and firearm-related mortality in particular has not been well studied.

In a cross-sectional study published in JAMA Pediatrics, 67,905 firearm-related deaths in children and youth aged 5-24 years that occurred between Jan. 1, 2007, and Dec. 31, 2016 were analyzed. The deaths included 42,512 homicides (62.6%), 23,034 suicides (33.9%), and 1,627 unintentional deaths (2.4%).

County poverty data were acquired from the U.S. Census Bureau. County-level poverty was divided into five categories based on percentage of the population living below the federal poverty level: 0%-4.9%, 5%-9.9%, 10%-14.9%, 15%-19.9%, and 20% or more.

Overall, 88.6% of the total deaths were in males. Notably, 44.8% of total firearm-related deaths and 63.9% of homicides occurred in non-Hispanic Blacks, who make up only 14% of the youth population in the United States, the researchers wrote.

The total number of firearm-related deaths was 248 in the lowest quintile of poverty concentration, followed by 6,841, 18,551, 27,305, and 14,960 in the remaining quintiles.

In a multivariate regression model that included demographics, urban versus rural, and statewide firearm prevalence, youth in counties with the highest quintile of poverty concentration had an increased rate of total firearm-related deaths (adjusted incidence rate ratio, 2.29), as well as increased rates of homicides, suicides, and unintentional deaths (aIRR, 3.55, 1.45, and 9.32, respectively), compared with those living in the lowest quintile of poverty concentration. Individuals in the highest poverty quintile accounted for 22.0% of total firearm-related deaths, 25.5% of homicides, 15.3% of suicides, and 25.1% of unintentional deaths.

The researchers also calculated the population-attributable fraction (PAF) and years of potential life lost. “The PAF represents the proportion of deaths associated with a particular exposure, which was concentrated county poverty in this study,” they explained. The PAF for all firearm-related deaths was 0.51, PAFs for homicides, suicides, and unintentional deaths were 0.66, 0.30, and 0.86, respectively. The PAF calculation translated to 34,292 firearm-related deaths that may not have occurred if youth in all counties had the same risk as those in counties with the lowest poverty concentration.

“Over the 10-year study period, we observed 3,833,105 years of potential life lost in youth aged 5-24 years from firearm-related deaths,” the researchers wrote.

The study findings were limited by several factors including the potential bias of a cross-section design, and inability to account for all the ways that county-level poverty might increase the risk of firearm-related death in children and teens, the researchers noted. Other potential limitations include possible misclassification of death, lack of data on individual family incomes, shifts in counties in the poverty categories over time, and the use of statewide, rather than countywide, estimates of firearm ownership.

However, the results are consistent with those of previous studies, and add that “mortality rates were consistent even after controlling for demographic variables, county urbanicity, and statewide firearm prevalence,” the researchers concluded.
 

Address structural racism to reduce disparities

“Firearm-related homicides among youth aged 5-24 years are among the causes of death with the greatest disparities,” based on CDC fatal injury reports, wrote Alice M. Ellyson, PhD, Frederick P. Rivara, MD, and Ali Rowhani-Rahbar, MD, all of the University of Washington, Seattle, in an accompanying editorial.

The current study builds on previous research, including studies showing an association between income inequality and firearm-related homicide, they said. More research is needed to determine how to intervene in the pathways between poverty and firearm-related death. For example, if access to high-quality health care is a factor, programs to increase access to health insurance, such as the Affordable Care Act and Children’s Health Insurance Program, or to increase access to high-quality trauma care may help reduce firearm-related death in youth.

“The study of where, how, and why racism operates as a factor in both poverty and firearm-related death must continue, especially considering the disparities consistently documented in Alaska Native or American Indian, Black, and Hispanic communities,” the editorialists wrote.

“Key potential mechanisms for reducing the consequences of poverty for firearm-related death are often denied to racial and ethnic minority groups through a variety of structures, policies, and systems in health care, employment, housing, transportation, and education,” they emphasized, and the impact of racism, not only on the pathways to poverty, but also on mediators between poverty and firearm-related death, must be explored.

Findings spotlight need to for poverty programs

The study was an interesting look at the specific relationship between poverty and firearm-related deaths in people aged younger than 25 years in the United States, Tim Joos, MD, of Seattle said in an interview.

“Although America is not a poor country, the combination of poverty within America and its unique gun culture seems to prove deadly for its youth,” Dr. Joos said. “The strongest relationship is between firearm-related homicide and poverty, but unintentional firearm deaths and poverty also are clearly linked, whereas the link between firearm-related suicide and poverty appears to be present, but small.”.

In the current study, “the authors note that firearm deaths are the second-leading cause of death among all people ages 15-24 years,” said Dr. Joos. “Many of us have followed children from infancy just to have them meet this untimely end as adolescents, wishing we had a vaccine or other remedy in our toolbelt for this particular scourge.

“As our country currently debates the size of the social safety net, this study is one of many that suggests government programs aimed at poverty alleviation would substantially contribute to the health of American youth,” Dr. Joos added.

The study received no outside funding. Lead author Dr. Barrett had no financial conflicts to disclose. Dr. Ellyson disclosed funds from the CDC, the state of Washington, and the Grandmothers Against Gun Violence Foundation for research outside the submitted work. Dr. Rivara disclosed funds from the National Institutes of Health, the State of Washington, and the National Collaborative on Gun Violence Research for research outside the submitted work. Dr. Rowhani-Rahbar disclosed funds from the CDC, National Institutes of Health, National Collaborative on Gun Violence Research, Fund for a Safer Future, and state of Washington for research outside the submitted work. Dr. Joos had no financial conflicts to disclose, but serves on the editorial advisory board of Pediatric News.

New cases of COVID-19 increased in children for the third consecutive week, while vaccinations among 5- to 11-year-olds continued to steadily increase, according to new data.

There were almost 142,000 new cases reported during the week of Nov. 12-18, marking an increase of 16% over the previous week and the 15th straight week with a weekly total over 100,000, the American Academy of Pediatrics and the Children’s Hospital Association said.

Regional data show that the Midwest has experienced the largest share of this latest surge, followed by the Northeast. Cases increased in the South during the week of Nov. 12-18 after holding steady over the previous 2 weeks, while new cases in the West dropped in the last week. At the state level, Maine, New Hampshire, and Vermont again reported the largest percent increases, with Michigan, Minnesota, and New Mexico also above average, the AAP and CHA said in their weekly COVID report.

Data from the Centers for Disease Control and Prevention show similar trends for both emergency department visits and hospital admissions, as both have risen in November after declines that began in late August and early September.

The cumulative number of pediatric cases is 6.77 million since the pandemic began, based on the AAP/CHA accounting of state cases, although Alabama, Nebraska, and Texas stopped reporting over the summer, suggesting the actual number is higher. The CDC puts the total number of COVID cases in children at 5.96 million, but there are age discrepancies between the CDC and the AAP/CHA’s state-based data.

The vaccine gap is closing

Vaccinations among the recently eligible 5- to 11-year-olds have steadily increased following a somewhat slow start. The initial pace was behind that of the 12- to 15-years-olds through the first postapproval week but has since closed the gap, based on data from the CDC’s COVID Data Tracker.

The tally of children who received at least one dose of the COVID vaccine among the 5- to 11-year-olds was behind the older group by almost 1.2 million on day 7 after the CDC’s Nov. 2 approval, but by day 18 the deficit was down to about 650,000, the CDC reported.

Altogether, just over 3 million children aged 5-11 have received at least one dose, which is 10.7% of that age group’s total population. Among children aged 12-17, the proportions are 60.7% with at least one dose and 51.1% at full vaccination. Children aged 5-11, who make up 8.7% of the total U.S. population, represented 42.8% of all vaccinations initiated over the 2 weeks ending Nov. 21, compared with 4.2% for those aged 12-17, the CDC said.

[email protected]

New cases of COVID-19 increased in children for the third consecutive week, while vaccinations among 5- to 11-year-olds continued to steadily increase, according to new data.

There were almost 142,000 new cases reported during the week of Nov. 12-18, marking an increase of 16% over the previous week and the 15th straight week with a weekly total over 100,000, the American Academy of Pediatrics and the Children’s Hospital Association said.

Regional data show that the Midwest has experienced the largest share of this latest surge, followed by the Northeast. Cases increased in the South during the week of Nov. 12-18 after holding steady over the previous 2 weeks, while new cases in the West dropped in the last week. At the state level, Maine, New Hampshire, and Vermont again reported the largest percent increases, with Michigan, Minnesota, and New Mexico also above average, the AAP and CHA said in their weekly COVID report.

Data from the Centers for Disease Control and Prevention show similar trends for both emergency department visits and hospital admissions, as both have risen in November after declines that began in late August and early September.

The cumulative number of pediatric cases is 6.77 million since the pandemic began, based on the AAP/CHA accounting of state cases, although Alabama, Nebraska, and Texas stopped reporting over the summer, suggesting the actual number is higher. The CDC puts the total number of COVID cases in children at 5.96 million, but there are age discrepancies between the CDC and the AAP/CHA’s state-based data.

The vaccine gap is closing

Vaccinations among the recently eligible 5- to 11-year-olds have steadily increased following a somewhat slow start. The initial pace was behind that of the 12- to 15-years-olds through the first postapproval week but has since closed the gap, based on data from the CDC’s COVID Data Tracker.

The tally of children who received at least one dose of the COVID vaccine among the 5- to 11-year-olds was behind the older group by almost 1.2 million on day 7 after the CDC’s Nov. 2 approval, but by day 18 the deficit was down to about 650,000, the CDC reported.

Altogether, just over 3 million children aged 5-11 have received at least one dose, which is 10.7% of that age group’s total population. Among children aged 12-17, the proportions are 60.7% with at least one dose and 51.1% at full vaccination. Children aged 5-11, who make up 8.7% of the total U.S. population, represented 42.8% of all vaccinations initiated over the 2 weeks ending Nov. 21, compared with 4.2% for those aged 12-17, the CDC said.

[email protected]

New cases of COVID-19 increased in children for the third consecutive week, while vaccinations among 5- to 11-year-olds continued to steadily increase, according to new data.

There were almost 142,000 new cases reported during the week of Nov. 12-18, marking an increase of 16% over the previous week and the 15th straight week with a weekly total over 100,000, the American Academy of Pediatrics and the Children’s Hospital Association said.

Regional data show that the Midwest has experienced the largest share of this latest surge, followed by the Northeast. Cases increased in the South during the week of Nov. 12-18 after holding steady over the previous 2 weeks, while new cases in the West dropped in the last week. At the state level, Maine, New Hampshire, and Vermont again reported the largest percent increases, with Michigan, Minnesota, and New Mexico also above average, the AAP and CHA said in their weekly COVID report.

Data from the Centers for Disease Control and Prevention show similar trends for both emergency department visits and hospital admissions, as both have risen in November after declines that began in late August and early September.

The cumulative number of pediatric cases is 6.77 million since the pandemic began, based on the AAP/CHA accounting of state cases, although Alabama, Nebraska, and Texas stopped reporting over the summer, suggesting the actual number is higher. The CDC puts the total number of COVID cases in children at 5.96 million, but there are age discrepancies between the CDC and the AAP/CHA’s state-based data.

The vaccine gap is closing

Vaccinations among the recently eligible 5- to 11-year-olds have steadily increased following a somewhat slow start. The initial pace was behind that of the 12- to 15-years-olds through the first postapproval week but has since closed the gap, based on data from the CDC’s COVID Data Tracker.

The tally of children who received at least one dose of the COVID vaccine among the 5- to 11-year-olds was behind the older group by almost 1.2 million on day 7 after the CDC’s Nov. 2 approval, but by day 18 the deficit was down to about 650,000, the CDC reported.

Altogether, just over 3 million children aged 5-11 have received at least one dose, which is 10.7% of that age group’s total population. Among children aged 12-17, the proportions are 60.7% with at least one dose and 51.1% at full vaccination. Children aged 5-11, who make up 8.7% of the total U.S. population, represented 42.8% of all vaccinations initiated over the 2 weeks ending Nov. 21, compared with 4.2% for those aged 12-17, the CDC said.

[email protected]

Short-acting opioids may complement methadone and buprenorphine for opioid withdrawal symptoms in U.S. hospitals, say authors of an opinion piece calling for rethinking current strategies for opioid withdrawal in this country.

The commentary by Robert A. Kleinman, MD, with the Centre for Addiction and Mental Health, and department of psychiatry, University of Toronto, and Sarah E. Wakeman, MD, with the division of general internal medicine at Massachusetts General Hospital, and Harvard Medical School, Boston, was published in Annals of Internal Medicine.

Currently, short-acting opioids are not recommended in the United States for opioid withdrawal symptoms (OWS) management in the hospital, the authors wrote. Instead, withdrawal symptoms are typically treated, followed by methadone or buprenorphine or nonopioid medications, but many patients don’t get enough relief. Undertreated withdrawal can result in patients leaving the hospital against medical advice, which is linked with higher risk of death.

Addiction specialist Elisabeth Poorman, MD, of the University of Illinois Chicago, said in an interview that she agrees it’s time to start shifting the thinking on using short-acting opioids for OWS in hospitals. Use varies greatly by hospital and by clinician, she said.

“It’s time to let evidence guide us and to be flexible,” Dr. Poorman said.

The commentary authors noted that with methadone, patients must wait several hours for maximal symptom reduction, and the full benefits of methadone treatment are not realized until days after initiation.

Rapid initiation of methadone may be feasible in hospitals and has been proposed as an option, but further study is necessary before widespread use, the authors wrote.
 

Short-acting opioids may address limitations of other opioids

Lofexidine, an alpha-2-adrenergic agonist, is the only drug approved by the Food and Drug Administration specifically for OWS.

“However,” the authors said, “more than half of patients with OWS treated with lofexidine in phase 3 efficacy trials dropped out by day five. Clonidine, another alpha-2-agonist used off label to treat OWS, has similar effects to those of lofexidine. “

Therefore, short-acting opioids may complement methadone and buprenorphine in treating OWS in the hospital by addressing their limitations, the authors wrote.

Dr. Kleinman and Dr. Wakeman also say short-acting opioids may help with starting buprenorphine for patients exposed to fentanyl, because short-acting opioids can relieve withdrawal symptoms while fentanyl is metabolized and excreted.

Supplementation with short-acting opioids within the hospital can relieve withdrawal symptoms and help keep patients comfortable while methadone is titrated to more effective doses for long-term treatment, they wrote.

With short-acting opioids, patients may become more engaged in their care with, for example, a tamper-proof, patient-controlled analgesia pump, which would allow them to have more autonomy in administration of opioids to relieve pain and withdrawal symptoms, the authors wrote.

Dr. Kleinman and Dr. Wakeman noted that many patients who inject drugs already consume short-acting illicit drugs in the hospital, typically in washrooms and smoking areas, so supervised use of short-acting opioids helps eliminate the risk for unwitnessed overdoses.

Barriers to short-acting opioid use

Despite use of short-acting opioids internationally, barriers in the United States include limited prospective, randomized, controlled research on their benefits. There is limited institutional support for such approaches, and concerns and stigma around providing opioids to patients with OUD.

“[M]any institutions have insufficient numbers of providers who are both confident and competent with standard buprenorphine and methadone initiation approaches, a prerequisite before adopting more complex regimens,” the authors wrote.

Short-acting, full-agonist opioids, as a complement to methadone or buprenorphine, is already recommended for inpatients with OUD who are experiencing acute pain.

But the authors argue it should be an option when pain is not present, but methadone or buprenorphine have not provided enough OWS relief.
 

When short-acting opioids are helpful, according to outside expert

Dr. Poorman agrees and says she has found short-acting opioids simple to use in the hospital and very helpful in two situations.

One is when patients are very clear that they don’t want any medication for opioid use disorder, but they do want to be treated for their acute medical issue.

“I thought that was a fantastic tool to have to demonstrate we’re listening to them and weren’t trying to impose something on them and left the door open to come back when they did want treatment, which many of them did,” Dr. Poorman said.

The second situation is when the patient is uncertain about options but very afraid of precipitated withdrawal from buprenorphine.

She said she then found it easy to switch from those medications to buprenorphine and methadone.

Dr. Poorman described a situation she encountered previously where the patient was injecting heroin several times a day for 30-40 years. He was very clear he wasn’t going to stop injecting heroin, but he needed medical attention. He was willing to get medical attention, but he told his doctor he didn’t want to be uncomfortable while in the hospital.

It was very hard for his doctor to accept relieving his symptoms of withdrawal as part of her job, because she felt as though she was condoning his drug use, Dr. Poorman explained.

But Dr. Poorman said it’s not realistic to think that someone who clearly does not want to stop using is going to stop using because a doctor made that person go through painful withdrawal “that they’ve structured their whole life around avoiding.”
 

Take-home message

“We need to understand that addiction is very complex. A lot of times people come to us distressed, and it’s a great time to engage them in care but engaging them in care doesn’t mean imposing discomfort or pain on them,” Dr. Poorman noted. Instead, it means “listening to them, helping them be comfortable in a really stressful situation and then letting them know we are always there for them wherever they are on their disease process or recovery journey so that they can come back to us.”

Dr. Wakeman previously served on clinical advisory board for Celero Systems and receives textbook royalties from Springer and author payment from UpToDate. Dr. Kleinman and Dr. Poorman declared no relevant financial relationships.

Short-acting opioids may complement methadone and buprenorphine for opioid withdrawal symptoms in U.S. hospitals, say authors of an opinion piece calling for rethinking current strategies for opioid withdrawal in this country.

The commentary by Robert A. Kleinman, MD, with the Centre for Addiction and Mental Health, and department of psychiatry, University of Toronto, and Sarah E. Wakeman, MD, with the division of general internal medicine at Massachusetts General Hospital, and Harvard Medical School, Boston, was published in Annals of Internal Medicine.

Currently, short-acting opioids are not recommended in the United States for opioid withdrawal symptoms (OWS) management in the hospital, the authors wrote. Instead, withdrawal symptoms are typically treated, followed by methadone or buprenorphine or nonopioid medications, but many patients don’t get enough relief. Undertreated withdrawal can result in patients leaving the hospital against medical advice, which is linked with higher risk of death.

Addiction specialist Elisabeth Poorman, MD, of the University of Illinois Chicago, said in an interview that she agrees it’s time to start shifting the thinking on using short-acting opioids for OWS in hospitals. Use varies greatly by hospital and by clinician, she said.

“It’s time to let evidence guide us and to be flexible,” Dr. Poorman said.

The commentary authors noted that with methadone, patients must wait several hours for maximal symptom reduction, and the full benefits of methadone treatment are not realized until days after initiation.

Rapid initiation of methadone may be feasible in hospitals and has been proposed as an option, but further study is necessary before widespread use, the authors wrote.
 

Short-acting opioids may address limitations of other opioids

Lofexidine, an alpha-2-adrenergic agonist, is the only drug approved by the Food and Drug Administration specifically for OWS.

“However,” the authors said, “more than half of patients with OWS treated with lofexidine in phase 3 efficacy trials dropped out by day five. Clonidine, another alpha-2-agonist used off label to treat OWS, has similar effects to those of lofexidine. “

Therefore, short-acting opioids may complement methadone and buprenorphine in treating OWS in the hospital by addressing their limitations, the authors wrote.

Dr. Kleinman and Dr. Wakeman also say short-acting opioids may help with starting buprenorphine for patients exposed to fentanyl, because short-acting opioids can relieve withdrawal symptoms while fentanyl is metabolized and excreted.

Supplementation with short-acting opioids within the hospital can relieve withdrawal symptoms and help keep patients comfortable while methadone is titrated to more effective doses for long-term treatment, they wrote.

With short-acting opioids, patients may become more engaged in their care with, for example, a tamper-proof, patient-controlled analgesia pump, which would allow them to have more autonomy in administration of opioids to relieve pain and withdrawal symptoms, the authors wrote.

Dr. Kleinman and Dr. Wakeman noted that many patients who inject drugs already consume short-acting illicit drugs in the hospital, typically in washrooms and smoking areas, so supervised use of short-acting opioids helps eliminate the risk for unwitnessed overdoses.

Barriers to short-acting opioid use

Despite use of short-acting opioids internationally, barriers in the United States include limited prospective, randomized, controlled research on their benefits. There is limited institutional support for such approaches, and concerns and stigma around providing opioids to patients with OUD.

“[M]any institutions have insufficient numbers of providers who are both confident and competent with standard buprenorphine and methadone initiation approaches, a prerequisite before adopting more complex regimens,” the authors wrote.

Short-acting, full-agonist opioids, as a complement to methadone or buprenorphine, is already recommended for inpatients with OUD who are experiencing acute pain.

But the authors argue it should be an option when pain is not present, but methadone or buprenorphine have not provided enough OWS relief.
 

When short-acting opioids are helpful, according to outside expert

Dr. Poorman agrees and says she has found short-acting opioids simple to use in the hospital and very helpful in two situations.

One is when patients are very clear that they don’t want any medication for opioid use disorder, but they do want to be treated for their acute medical issue.

“I thought that was a fantastic tool to have to demonstrate we’re listening to them and weren’t trying to impose something on them and left the door open to come back when they did want treatment, which many of them did,” Dr. Poorman said.

The second situation is when the patient is uncertain about options but very afraid of precipitated withdrawal from buprenorphine.

She said she then found it easy to switch from those medications to buprenorphine and methadone.

Dr. Poorman described a situation she encountered previously where the patient was injecting heroin several times a day for 30-40 years. He was very clear he wasn’t going to stop injecting heroin, but he needed medical attention. He was willing to get medical attention, but he told his doctor he didn’t want to be uncomfortable while in the hospital.

It was very hard for his doctor to accept relieving his symptoms of withdrawal as part of her job, because she felt as though she was condoning his drug use, Dr. Poorman explained.

But Dr. Poorman said it’s not realistic to think that someone who clearly does not want to stop using is going to stop using because a doctor made that person go through painful withdrawal “that they’ve structured their whole life around avoiding.”
 

Take-home message

“We need to understand that addiction is very complex. A lot of times people come to us distressed, and it’s a great time to engage them in care but engaging them in care doesn’t mean imposing discomfort or pain on them,” Dr. Poorman noted. Instead, it means “listening to them, helping them be comfortable in a really stressful situation and then letting them know we are always there for them wherever they are on their disease process or recovery journey so that they can come back to us.”

Dr. Wakeman previously served on clinical advisory board for Celero Systems and receives textbook royalties from Springer and author payment from UpToDate. Dr. Kleinman and Dr. Poorman declared no relevant financial relationships.

Short-acting opioids may complement methadone and buprenorphine for opioid withdrawal symptoms in U.S. hospitals, say authors of an opinion piece calling for rethinking current strategies for opioid withdrawal in this country.

The commentary by Robert A. Kleinman, MD, with the Centre for Addiction and Mental Health, and department of psychiatry, University of Toronto, and Sarah E. Wakeman, MD, with the division of general internal medicine at Massachusetts General Hospital, and Harvard Medical School, Boston, was published in Annals of Internal Medicine.

Currently, short-acting opioids are not recommended in the United States for opioid withdrawal symptoms (OWS) management in the hospital, the authors wrote. Instead, withdrawal symptoms are typically treated, followed by methadone or buprenorphine or nonopioid medications, but many patients don’t get enough relief. Undertreated withdrawal can result in patients leaving the hospital against medical advice, which is linked with higher risk of death.

Addiction specialist Elisabeth Poorman, MD, of the University of Illinois Chicago, said in an interview that she agrees it’s time to start shifting the thinking on using short-acting opioids for OWS in hospitals. Use varies greatly by hospital and by clinician, she said.

“It’s time to let evidence guide us and to be flexible,” Dr. Poorman said.

The commentary authors noted that with methadone, patients must wait several hours for maximal symptom reduction, and the full benefits of methadone treatment are not realized until days after initiation.

Rapid initiation of methadone may be feasible in hospitals and has been proposed as an option, but further study is necessary before widespread use, the authors wrote.
 

Short-acting opioids may address limitations of other opioids

Lofexidine, an alpha-2-adrenergic agonist, is the only drug approved by the Food and Drug Administration specifically for OWS.

“However,” the authors said, “more than half of patients with OWS treated with lofexidine in phase 3 efficacy trials dropped out by day five. Clonidine, another alpha-2-agonist used off label to treat OWS, has similar effects to those of lofexidine. “

Therefore, short-acting opioids may complement methadone and buprenorphine in treating OWS in the hospital by addressing their limitations, the authors wrote.

Dr. Kleinman and Dr. Wakeman also say short-acting opioids may help with starting buprenorphine for patients exposed to fentanyl, because short-acting opioids can relieve withdrawal symptoms while fentanyl is metabolized and excreted.

Supplementation with short-acting opioids within the hospital can relieve withdrawal symptoms and help keep patients comfortable while methadone is titrated to more effective doses for long-term treatment, they wrote.

With short-acting opioids, patients may become more engaged in their care with, for example, a tamper-proof, patient-controlled analgesia pump, which would allow them to have more autonomy in administration of opioids to relieve pain and withdrawal symptoms, the authors wrote.

Dr. Kleinman and Dr. Wakeman noted that many patients who inject drugs already consume short-acting illicit drugs in the hospital, typically in washrooms and smoking areas, so supervised use of short-acting opioids helps eliminate the risk for unwitnessed overdoses.

Barriers to short-acting opioid use

Despite use of short-acting opioids internationally, barriers in the United States include limited prospective, randomized, controlled research on their benefits. There is limited institutional support for such approaches, and concerns and stigma around providing opioids to patients with OUD.

“[M]any institutions have insufficient numbers of providers who are both confident and competent with standard buprenorphine and methadone initiation approaches, a prerequisite before adopting more complex regimens,” the authors wrote.

Short-acting, full-agonist opioids, as a complement to methadone or buprenorphine, is already recommended for inpatients with OUD who are experiencing acute pain.

But the authors argue it should be an option when pain is not present, but methadone or buprenorphine have not provided enough OWS relief.
 

When short-acting opioids are helpful, according to outside expert

Dr. Poorman agrees and says she has found short-acting opioids simple to use in the hospital and very helpful in two situations.

One is when patients are very clear that they don’t want any medication for opioid use disorder, but they do want to be treated for their acute medical issue.

“I thought that was a fantastic tool to have to demonstrate we’re listening to them and weren’t trying to impose something on them and left the door open to come back when they did want treatment, which many of them did,” Dr. Poorman said.

The second situation is when the patient is uncertain about options but very afraid of precipitated withdrawal from buprenorphine.

She said she then found it easy to switch from those medications to buprenorphine and methadone.

Dr. Poorman described a situation she encountered previously where the patient was injecting heroin several times a day for 30-40 years. He was very clear he wasn’t going to stop injecting heroin, but he needed medical attention. He was willing to get medical attention, but he told his doctor he didn’t want to be uncomfortable while in the hospital.

It was very hard for his doctor to accept relieving his symptoms of withdrawal as part of her job, because she felt as though she was condoning his drug use, Dr. Poorman explained.

But Dr. Poorman said it’s not realistic to think that someone who clearly does not want to stop using is going to stop using because a doctor made that person go through painful withdrawal “that they’ve structured their whole life around avoiding.”
 

Take-home message

“We need to understand that addiction is very complex. A lot of times people come to us distressed, and it’s a great time to engage them in care but engaging them in care doesn’t mean imposing discomfort or pain on them,” Dr. Poorman noted. Instead, it means “listening to them, helping them be comfortable in a really stressful situation and then letting them know we are always there for them wherever they are on their disease process or recovery journey so that they can come back to us.”

Dr. Wakeman previously served on clinical advisory board for Celero Systems and receives textbook royalties from Springer and author payment from UpToDate. Dr. Kleinman and Dr. Poorman declared no relevant financial relationships.

A 46-year-old North Carolina man, who was pulled over on suspicion of drunk driving, vehemently denied consuming alcohol. When he refused to take a breathalyzer test, he was hospitalized and doctors confirmed what police suspected – his blood alcohol level was 0.20, two-and-a-half times the state’s legal limit – and he was charged with driving while intoxicated (DWI).

For an entire year after his arrest, the cause of his “intoxication” remained a mystery. It wasn’t until his aunt learned about a similar case that had been successfully treated at an Ohio clinic that he understood what was happening to him – he had auto brewery syndrome (ABS).

Otherwise known as gut fermentation syndrome, ABS is a rarely diagnosed gastrointestinal condition that causes patients to appear drunk and suffer all the medical and social implications of alcoholism.

“ABS occurs when ingested carbohydrates are converted to alcohol by fungi in the gastrointestinal tract,” Fahad Malik, MD, who reported the case in BMJ Open Gastroenterology while a resident at Richmond University Medical Center in New York, told this news organization.

At the urging of his aunt, the patient attended the Ohio clinic where he underwent a complete blood count, comprehensive metabolic panel, immunology panel and urinalysis, all of which were normal.

However, stool testing revealed the presence of two strains of yeast – Saccharomyces cerevisiae, commonly used in winemaking, baking, and beer brewing, and Saccharomyces boulardii.

To confirm the ABS diagnosis, the patient received a carbohydrate meal and clinicians monitored his blood alcohol level, which, after 8 hours, reached 57 mg/dL. He was treated with antifungals for the Saccharomyces fungi in his stool and discharged on a strict carbohydrate-free diet along with special supplements, including multivitamins and probiotics, but no further antifungal therapy.

Probiotics, said Dr. Malik, competitively inhibit bad bacteria and fungi, but currently there is evidence to show they are useful for ABS.

Although the patient adhered to his prescribed treatment regimen, after a few weeks of no symptoms, intermittent “flares” returned. In one instance of inebriation, he fell and hit his head, resulting in intracranial bleeding that resulted in a transfer to a neurosurgical center. During his hospital stay, his blood alcohol levels ranged from 50 to 400 mg/dL.
 

Antibiotics the culprit?

Disheartened by the continuation of his symptoms, the patient sought support from an online forum. It was there he read about Dr. Malik and gastroenterologist Prasanna Wickremesinghe, MD (a colleague of Dr. Malik’s at Richmond MC), who had treated a complicated, very similar case of ABS. The patient made contact with the two physicians and they assessed him.

“We went from A to Z with the patient, because we were trying to look for similar things in the history – we wanted to know the exact point at which it started and understand when he started experiencing mental fog,” said Dr. Malik. 

After speaking to the patient, Dr. Malik and Dr. Wickremesinghe traced his initial symptoms to a 2011 course of antibiotics (cephalexin 250 mg oral three times a day for 3 weeks) prescribed for a complicated traumatic thumb injury.

About a week after he finished the antibiotics, he experienced noticeable behavioral changes, including depression, brain fog, and aggressive outbursts, all of which were very uncharacteristic.

He visited his primary care physician in 2014 for treatment, which resulted in a referral to a psychiatrist, who treated him with lorazepam and fluoxetine. The patient noted that he was previously healthy, with no significant medical or psychiatric history.

Dr. Malik believes the antibiotics prescribed all those years ago is the culprit. “We were postulating that the antibiotics had changed the microbiome of his gut and allowed the fungi to develop,” he said.

Since there are no established diagnostic criteria or treatment regimen for ABS, Dr. Malik and Dr. Wickremesinghe developed their own.

Diagnosis consisted of a standardized carbohydrate challenge test vs. a carbohydrate meal, where they gave the patient 200 g of glucose by mouth after an overnight fast and drew blood at timed intervals of 0, 0.5, 1, 2, 4, 8, 16, and 24 hours to test for glucose and blood alcohol levels. 

“After that we needed to isolate the fungi by examining the gut secretions through an upper and lower endoscopy,” said Dr. Wickremesinghe. Fungal cultures from the upper small gut and cecal secretions grew Candida albicans and C. parapsilosis.

Both fungi were sensitive to azoles and the physicians prescribed oral itraconazole 150 mg per day as an initial therapy. After 10 days, his symptoms did not improve so the dose was increased to 200 mg/day and the patient became “completely asymptomatic.”

“We had nothing to follow. We didn’t know how long to treat the patient, it was really just a process of trial and error,” said Dr. Malik. The physicians asked the patient to monitor his breath alcohol levels twice a day during treatment and immediately report any increases. Over time, he also received treatment with various probiotics to help normalize his gut flora.
 

Underdiagnosed condition?

At the time of the case study’s publication in the summer of 2019, the patient had been asymptomatic for 18 months and had been able to resume a normal diet, but still checks his breath alcohol levels from time to time.

“Before this patient’s case, I went all through the literature and found only a few cases of ABS,” said Dr. Malik.

However, he added, after this case study was published 10 other patients contacted him with a similar history of antibiotic use and the same symptoms. This, said Dr. Malik, is “significant” and suggests ABS is much more common than previously thought.

The clinicians also note that to the best of their knowledge this is the first report of antibiotic exposure initiating ABS.

“What we tried to do was set up a protocol by which to identify these patients, confirm a diagnosis, and treat them for a sufficient amount of time,” said Dr. Wickremesinghe. “We also wanted to inform other physicians that this may function as a standardized way of treating these patients, and may promote further study,” added Dr. Malik, who emphasized that the role of probiotics in ABS still needs to be studied. 

Dr. Malik and Dr. Wickremesinghe note that physicians should be aware that mood changes, brain fog, and delirium in patients who deny alcohol ingestion may be the first symptoms of ABS.

Dr. Wickremesinghe said since the case study was published he and Dr. Malik have received queries from all over the world. “It’s unbelievable the amount of interest we have had in the paper, so if we have made the medical community and the general population aware of this condition and how to treat it, we have done a major thing for medicine,” he said.

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

A 46-year-old North Carolina man, who was pulled over on suspicion of drunk driving, vehemently denied consuming alcohol. When he refused to take a breathalyzer test, he was hospitalized and doctors confirmed what police suspected – his blood alcohol level was 0.20, two-and-a-half times the state’s legal limit – and he was charged with driving while intoxicated (DWI).

For an entire year after his arrest, the cause of his “intoxication” remained a mystery. It wasn’t until his aunt learned about a similar case that had been successfully treated at an Ohio clinic that he understood what was happening to him – he had auto brewery syndrome (ABS).

Otherwise known as gut fermentation syndrome, ABS is a rarely diagnosed gastrointestinal condition that causes patients to appear drunk and suffer all the medical and social implications of alcoholism.

“ABS occurs when ingested carbohydrates are converted to alcohol by fungi in the gastrointestinal tract,” Fahad Malik, MD, who reported the case in BMJ Open Gastroenterology while a resident at Richmond University Medical Center in New York, told this news organization.

At the urging of his aunt, the patient attended the Ohio clinic where he underwent a complete blood count, comprehensive metabolic panel, immunology panel and urinalysis, all of which were normal.

However, stool testing revealed the presence of two strains of yeast – Saccharomyces cerevisiae, commonly used in winemaking, baking, and beer brewing, and Saccharomyces boulardii.

To confirm the ABS diagnosis, the patient received a carbohydrate meal and clinicians monitored his blood alcohol level, which, after 8 hours, reached 57 mg/dL. He was treated with antifungals for the Saccharomyces fungi in his stool and discharged on a strict carbohydrate-free diet along with special supplements, including multivitamins and probiotics, but no further antifungal therapy.

Probiotics, said Dr. Malik, competitively inhibit bad bacteria and fungi, but currently there is evidence to show they are useful for ABS.

Although the patient adhered to his prescribed treatment regimen, after a few weeks of no symptoms, intermittent “flares” returned. In one instance of inebriation, he fell and hit his head, resulting in intracranial bleeding that resulted in a transfer to a neurosurgical center. During his hospital stay, his blood alcohol levels ranged from 50 to 400 mg/dL.
 

Antibiotics the culprit?

Disheartened by the continuation of his symptoms, the patient sought support from an online forum. It was there he read about Dr. Malik and gastroenterologist Prasanna Wickremesinghe, MD (a colleague of Dr. Malik’s at Richmond MC), who had treated a complicated, very similar case of ABS. The patient made contact with the two physicians and they assessed him.

“We went from A to Z with the patient, because we were trying to look for similar things in the history – we wanted to know the exact point at which it started and understand when he started experiencing mental fog,” said Dr. Malik. 

After speaking to the patient, Dr. Malik and Dr. Wickremesinghe traced his initial symptoms to a 2011 course of antibiotics (cephalexin 250 mg oral three times a day for 3 weeks) prescribed for a complicated traumatic thumb injury.

About a week after he finished the antibiotics, he experienced noticeable behavioral changes, including depression, brain fog, and aggressive outbursts, all of which were very uncharacteristic.

He visited his primary care physician in 2014 for treatment, which resulted in a referral to a psychiatrist, who treated him with lorazepam and fluoxetine. The patient noted that he was previously healthy, with no significant medical or psychiatric history.

Dr. Malik believes the antibiotics prescribed all those years ago is the culprit. “We were postulating that the antibiotics had changed the microbiome of his gut and allowed the fungi to develop,” he said.

Since there are no established diagnostic criteria or treatment regimen for ABS, Dr. Malik and Dr. Wickremesinghe developed their own.

Diagnosis consisted of a standardized carbohydrate challenge test vs. a carbohydrate meal, where they gave the patient 200 g of glucose by mouth after an overnight fast and drew blood at timed intervals of 0, 0.5, 1, 2, 4, 8, 16, and 24 hours to test for glucose and blood alcohol levels. 

“After that we needed to isolate the fungi by examining the gut secretions through an upper and lower endoscopy,” said Dr. Wickremesinghe. Fungal cultures from the upper small gut and cecal secretions grew Candida albicans and C. parapsilosis.

Both fungi were sensitive to azoles and the physicians prescribed oral itraconazole 150 mg per day as an initial therapy. After 10 days, his symptoms did not improve so the dose was increased to 200 mg/day and the patient became “completely asymptomatic.”

“We had nothing to follow. We didn’t know how long to treat the patient, it was really just a process of trial and error,” said Dr. Malik. The physicians asked the patient to monitor his breath alcohol levels twice a day during treatment and immediately report any increases. Over time, he also received treatment with various probiotics to help normalize his gut flora.
 

Underdiagnosed condition?

At the time of the case study’s publication in the summer of 2019, the patient had been asymptomatic for 18 months and had been able to resume a normal diet, but still checks his breath alcohol levels from time to time.

“Before this patient’s case, I went all through the literature and found only a few cases of ABS,” said Dr. Malik.

However, he added, after this case study was published 10 other patients contacted him with a similar history of antibiotic use and the same symptoms. This, said Dr. Malik, is “significant” and suggests ABS is much more common than previously thought.

The clinicians also note that to the best of their knowledge this is the first report of antibiotic exposure initiating ABS.

“What we tried to do was set up a protocol by which to identify these patients, confirm a diagnosis, and treat them for a sufficient amount of time,” said Dr. Wickremesinghe. “We also wanted to inform other physicians that this may function as a standardized way of treating these patients, and may promote further study,” added Dr. Malik, who emphasized that the role of probiotics in ABS still needs to be studied. 

Dr. Malik and Dr. Wickremesinghe note that physicians should be aware that mood changes, brain fog, and delirium in patients who deny alcohol ingestion may be the first symptoms of ABS.

Dr. Wickremesinghe said since the case study was published he and Dr. Malik have received queries from all over the world. “It’s unbelievable the amount of interest we have had in the paper, so if we have made the medical community and the general population aware of this condition and how to treat it, we have done a major thing for medicine,” he said.

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

A 46-year-old North Carolina man, who was pulled over on suspicion of drunk driving, vehemently denied consuming alcohol. When he refused to take a breathalyzer test, he was hospitalized and doctors confirmed what police suspected – his blood alcohol level was 0.20, two-and-a-half times the state’s legal limit – and he was charged with driving while intoxicated (DWI).

For an entire year after his arrest, the cause of his “intoxication” remained a mystery. It wasn’t until his aunt learned about a similar case that had been successfully treated at an Ohio clinic that he understood what was happening to him – he had auto brewery syndrome (ABS).

Otherwise known as gut fermentation syndrome, ABS is a rarely diagnosed gastrointestinal condition that causes patients to appear drunk and suffer all the medical and social implications of alcoholism.

“ABS occurs when ingested carbohydrates are converted to alcohol by fungi in the gastrointestinal tract,” Fahad Malik, MD, who reported the case in BMJ Open Gastroenterology while a resident at Richmond University Medical Center in New York, told this news organization.

At the urging of his aunt, the patient attended the Ohio clinic where he underwent a complete blood count, comprehensive metabolic panel, immunology panel and urinalysis, all of which were normal.

However, stool testing revealed the presence of two strains of yeast – Saccharomyces cerevisiae, commonly used in winemaking, baking, and beer brewing, and Saccharomyces boulardii.

To confirm the ABS diagnosis, the patient received a carbohydrate meal and clinicians monitored his blood alcohol level, which, after 8 hours, reached 57 mg/dL. He was treated with antifungals for the Saccharomyces fungi in his stool and discharged on a strict carbohydrate-free diet along with special supplements, including multivitamins and probiotics, but no further antifungal therapy.

Probiotics, said Dr. Malik, competitively inhibit bad bacteria and fungi, but currently there is evidence to show they are useful for ABS.

Although the patient adhered to his prescribed treatment regimen, after a few weeks of no symptoms, intermittent “flares” returned. In one instance of inebriation, he fell and hit his head, resulting in intracranial bleeding that resulted in a transfer to a neurosurgical center. During his hospital stay, his blood alcohol levels ranged from 50 to 400 mg/dL.
 

Antibiotics the culprit?

Disheartened by the continuation of his symptoms, the patient sought support from an online forum. It was there he read about Dr. Malik and gastroenterologist Prasanna Wickremesinghe, MD (a colleague of Dr. Malik’s at Richmond MC), who had treated a complicated, very similar case of ABS. The patient made contact with the two physicians and they assessed him.

“We went from A to Z with the patient, because we were trying to look for similar things in the history – we wanted to know the exact point at which it started and understand when he started experiencing mental fog,” said Dr. Malik. 

After speaking to the patient, Dr. Malik and Dr. Wickremesinghe traced his initial symptoms to a 2011 course of antibiotics (cephalexin 250 mg oral three times a day for 3 weeks) prescribed for a complicated traumatic thumb injury.

About a week after he finished the antibiotics, he experienced noticeable behavioral changes, including depression, brain fog, and aggressive outbursts, all of which were very uncharacteristic.

He visited his primary care physician in 2014 for treatment, which resulted in a referral to a psychiatrist, who treated him with lorazepam and fluoxetine. The patient noted that he was previously healthy, with no significant medical or psychiatric history.

Dr. Malik believes the antibiotics prescribed all those years ago is the culprit. “We were postulating that the antibiotics had changed the microbiome of his gut and allowed the fungi to develop,” he said.

Since there are no established diagnostic criteria or treatment regimen for ABS, Dr. Malik and Dr. Wickremesinghe developed their own.

Diagnosis consisted of a standardized carbohydrate challenge test vs. a carbohydrate meal, where they gave the patient 200 g of glucose by mouth after an overnight fast and drew blood at timed intervals of 0, 0.5, 1, 2, 4, 8, 16, and 24 hours to test for glucose and blood alcohol levels. 

“After that we needed to isolate the fungi by examining the gut secretions through an upper and lower endoscopy,” said Dr. Wickremesinghe. Fungal cultures from the upper small gut and cecal secretions grew Candida albicans and C. parapsilosis.

Both fungi were sensitive to azoles and the physicians prescribed oral itraconazole 150 mg per day as an initial therapy. After 10 days, his symptoms did not improve so the dose was increased to 200 mg/day and the patient became “completely asymptomatic.”

“We had nothing to follow. We didn’t know how long to treat the patient, it was really just a process of trial and error,” said Dr. Malik. The physicians asked the patient to monitor his breath alcohol levels twice a day during treatment and immediately report any increases. Over time, he also received treatment with various probiotics to help normalize his gut flora.
 

Underdiagnosed condition?

At the time of the case study’s publication in the summer of 2019, the patient had been asymptomatic for 18 months and had been able to resume a normal diet, but still checks his breath alcohol levels from time to time.

“Before this patient’s case, I went all through the literature and found only a few cases of ABS,” said Dr. Malik.

However, he added, after this case study was published 10 other patients contacted him with a similar history of antibiotic use and the same symptoms. This, said Dr. Malik, is “significant” and suggests ABS is much more common than previously thought.

The clinicians also note that to the best of their knowledge this is the first report of antibiotic exposure initiating ABS.

“What we tried to do was set up a protocol by which to identify these patients, confirm a diagnosis, and treat them for a sufficient amount of time,” said Dr. Wickremesinghe. “We also wanted to inform other physicians that this may function as a standardized way of treating these patients, and may promote further study,” added Dr. Malik, who emphasized that the role of probiotics in ABS still needs to be studied. 

Dr. Malik and Dr. Wickremesinghe note that physicians should be aware that mood changes, brain fog, and delirium in patients who deny alcohol ingestion may be the first symptoms of ABS.

Dr. Wickremesinghe said since the case study was published he and Dr. Malik have received queries from all over the world. “It’s unbelievable the amount of interest we have had in the paper, so if we have made the medical community and the general population aware of this condition and how to treat it, we have done a major thing for medicine,” he said.

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

With the holidays just around the corner (how did that happen?), it’s a good time to remind yourself of the things you’re grateful for.

Perhaps you’re grateful for spending chilly evenings under a warm blanket binge-watching your favorite shows or being able to safely gather with loved ones. If you’re William Shatner, maybe you’re grateful for that quick trip to space (because apparently, that’s a thing now) and the poetic tweets it induced. Down here on earth, TikTok has surpassed 1 billion users, and while we’re not grateful, necessarily, we are entertained.

Here are the latest ugly, good, and bad TikToks that have been trending lately.
 

The Ugly: Scalp popping

Warning: Don’t watch this if you’re easily freaked out by weird body sounds. It’s like cracking your knuckles but way, way worse.

This TikTok from @asmr.barber has 1.7 million likes, and lots of people are trying it out for themselves. The viral video features the (disturbed) art of scalp popping, also known as hair cracking. It features what is assumed to be some sort of barber or professional (here’s hoping) twisting a client’s hair around his fingers and then yanking, creating an audible popping sound. Many are posting their own hair-cracking attempts on the platform. It’s unclear if this is supposed to feel good or just be grossly satisfying, though some users claim it helps with migraines.

But it turns out this might be more than kind of gross; it can be dangerous, too.

Anthony Youn, MD, a board-certified plastic surgeon, comments on the trend with concern: “What the hell is going on here?” Not something you want to hear from a doctor. Dr. Youn explained that the popping sound comes from the galea aponeurotica, a fibrous sheet of connective tissue under your scalp, being pulled off the skull.

In a comment, Dr. Youn continued to warn people of replicating this trend: “It can tear the inside of the scalp, which can bleed a ton on the inside. Think boxer or MMA fighter with scalp hematoma.”

Let’s keep our scalps attached to our skulls, people. If I never have to hear that sound again, I’ll be eternally grateful.
 

The Good: Doctor demonstrates correct EpiPen use

This reaction TikTok from medical student Mutahir Farhan (aka @madmedicine) has over 252,000 likes and hundreds of comments. In it, Ms. Farhan watches a video of a young woman attempting to administer an EpiPen to her friend, with the caption “How NOT to use an EpiPen” over it (in bright red, of course).

The woman in the video is using the wrong end of the EpiPen against her friend’s leg, so it isn’t working. When she uses her thumb to press down and help, her thumb is actually pressed against the needle end and the EpiPen sticks her instead of her friend. Ouch!

Ms. Farhan goes on to explain the anatomy of the EpiPen and shows his audience of 1.1 million followers where to inject it.

“You gotta remember that the orange tip is where the needle comes out. Otherwise, you’re going to end up stabbing yourself with epinephrine, like that girl in the video,” Ms. Farhan says. He goes on to instruct the important, but often overlooked, follow-up: “After you stab someone with epinephrine, call 911 or go to the ER, so that we can make sure they’re actually okay and good to go.”
 

The Bad: Liquid chlorophyll

Here is another one of those tricky trends that are so widespread and popular that it’s hard to find exactly where it originated from. A video from @lenamaiah has over 5 million views and 800,000 likes, which even by TikTok standards, is a lot. TikTok is rife with similar videos, which feature drops of liquid chlorophyll being added to water and smoothies.

The pretty emerald hue is mesmerizing and it’s hard to resist trying it out when it’s being peddled by seemingly every pretty, smooth-skinned pseudo-model on the platform. In this video, Lena says drinking a glass of water with a few drops of chlorophyll can reduce inflammation, get rid of eye bags, boost your vitamin levels, reduce free radical damage, detoxify your system, and file your taxes. Okay, I made that last one up, but it follows, doesn’t it? This stuff sounds pretty good. Maybe too good.

Chlorophyll, if you skipped biology class (somehow, I doubt you did), is what makes plants green. Medscape has a detailed explanation of chlorophyll, but all you really need to know is that it’s the secret to that cool thing plants do: photosynthesis, or turning sunlight into energy. Scientists have been trying to find uses for it in people since the 1940s. Unfortunately, studies never found much that it can do for us, aside from being kind of deodorizing. So, while it’s been historically marketed as toothpaste and deodorant, the new TikTok claims of it being a cure-all or the next big skincare supplement are not widely substantiated by scientific studies. The only real evidence of it being effective is word of mouth from those who claim to like the way they look or feel since taking it, which isn’t enough for doctors to recommend it.

TikTok’s resident dermatologist, Muneeb Shah, DO, stitched a TikTok from another user, with his captions explaining, “[There’s] no scientific evidence for liquid chlorophyll [helping] rosacea or acne.”

His advice: “Chlorophyll is great, but just eat more veggies.”

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

With the holidays just around the corner (how did that happen?), it’s a good time to remind yourself of the things you’re grateful for.

Perhaps you’re grateful for spending chilly evenings under a warm blanket binge-watching your favorite shows or being able to safely gather with loved ones. If you’re William Shatner, maybe you’re grateful for that quick trip to space (because apparently, that’s a thing now) and the poetic tweets it induced. Down here on earth, TikTok has surpassed 1 billion users, and while we’re not grateful, necessarily, we are entertained.

Here are the latest ugly, good, and bad TikToks that have been trending lately.
 

The Ugly: Scalp popping

Warning: Don’t watch this if you’re easily freaked out by weird body sounds. It’s like cracking your knuckles but way, way worse.

This TikTok from @asmr.barber has 1.7 million likes, and lots of people are trying it out for themselves. The viral video features the (disturbed) art of scalp popping, also known as hair cracking. It features what is assumed to be some sort of barber or professional (here’s hoping) twisting a client’s hair around his fingers and then yanking, creating an audible popping sound. Many are posting their own hair-cracking attempts on the platform. It’s unclear if this is supposed to feel good or just be grossly satisfying, though some users claim it helps with migraines.

But it turns out this might be more than kind of gross; it can be dangerous, too.

Anthony Youn, MD, a board-certified plastic surgeon, comments on the trend with concern: “What the hell is going on here?” Not something you want to hear from a doctor. Dr. Youn explained that the popping sound comes from the galea aponeurotica, a fibrous sheet of connective tissue under your scalp, being pulled off the skull.

In a comment, Dr. Youn continued to warn people of replicating this trend: “It can tear the inside of the scalp, which can bleed a ton on the inside. Think boxer or MMA fighter with scalp hematoma.”

Let’s keep our scalps attached to our skulls, people. If I never have to hear that sound again, I’ll be eternally grateful.
 

The Good: Doctor demonstrates correct EpiPen use

This reaction TikTok from medical student Mutahir Farhan (aka @madmedicine) has over 252,000 likes and hundreds of comments. In it, Ms. Farhan watches a video of a young woman attempting to administer an EpiPen to her friend, with the caption “How NOT to use an EpiPen” over it (in bright red, of course).

The woman in the video is using the wrong end of the EpiPen against her friend’s leg, so it isn’t working. When she uses her thumb to press down and help, her thumb is actually pressed against the needle end and the EpiPen sticks her instead of her friend. Ouch!

Ms. Farhan goes on to explain the anatomy of the EpiPen and shows his audience of 1.1 million followers where to inject it.

“You gotta remember that the orange tip is where the needle comes out. Otherwise, you’re going to end up stabbing yourself with epinephrine, like that girl in the video,” Ms. Farhan says. He goes on to instruct the important, but often overlooked, follow-up: “After you stab someone with epinephrine, call 911 or go to the ER, so that we can make sure they’re actually okay and good to go.”
 

The Bad: Liquid chlorophyll

Here is another one of those tricky trends that are so widespread and popular that it’s hard to find exactly where it originated from. A video from @lenamaiah has over 5 million views and 800,000 likes, which even by TikTok standards, is a lot. TikTok is rife with similar videos, which feature drops of liquid chlorophyll being added to water and smoothies.

The pretty emerald hue is mesmerizing and it’s hard to resist trying it out when it’s being peddled by seemingly every pretty, smooth-skinned pseudo-model on the platform. In this video, Lena says drinking a glass of water with a few drops of chlorophyll can reduce inflammation, get rid of eye bags, boost your vitamin levels, reduce free radical damage, detoxify your system, and file your taxes. Okay, I made that last one up, but it follows, doesn’t it? This stuff sounds pretty good. Maybe too good.

Chlorophyll, if you skipped biology class (somehow, I doubt you did), is what makes plants green. Medscape has a detailed explanation of chlorophyll, but all you really need to know is that it’s the secret to that cool thing plants do: photosynthesis, or turning sunlight into energy. Scientists have been trying to find uses for it in people since the 1940s. Unfortunately, studies never found much that it can do for us, aside from being kind of deodorizing. So, while it’s been historically marketed as toothpaste and deodorant, the new TikTok claims of it being a cure-all or the next big skincare supplement are not widely substantiated by scientific studies. The only real evidence of it being effective is word of mouth from those who claim to like the way they look or feel since taking it, which isn’t enough for doctors to recommend it.

TikTok’s resident dermatologist, Muneeb Shah, DO, stitched a TikTok from another user, with his captions explaining, “[There’s] no scientific evidence for liquid chlorophyll [helping] rosacea or acne.”

His advice: “Chlorophyll is great, but just eat more veggies.”

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

With the holidays just around the corner (how did that happen?), it’s a good time to remind yourself of the things you’re grateful for.

Perhaps you’re grateful for spending chilly evenings under a warm blanket binge-watching your favorite shows or being able to safely gather with loved ones. If you’re William Shatner, maybe you’re grateful for that quick trip to space (because apparently, that’s a thing now) and the poetic tweets it induced. Down here on earth, TikTok has surpassed 1 billion users, and while we’re not grateful, necessarily, we are entertained.

Here are the latest ugly, good, and bad TikToks that have been trending lately.
 

The Ugly: Scalp popping

Warning: Don’t watch this if you’re easily freaked out by weird body sounds. It’s like cracking your knuckles but way, way worse.

This TikTok from @asmr.barber has 1.7 million likes, and lots of people are trying it out for themselves. The viral video features the (disturbed) art of scalp popping, also known as hair cracking. It features what is assumed to be some sort of barber or professional (here’s hoping) twisting a client’s hair around his fingers and then yanking, creating an audible popping sound. Many are posting their own hair-cracking attempts on the platform. It’s unclear if this is supposed to feel good or just be grossly satisfying, though some users claim it helps with migraines.

But it turns out this might be more than kind of gross; it can be dangerous, too.

Anthony Youn, MD, a board-certified plastic surgeon, comments on the trend with concern: “What the hell is going on here?” Not something you want to hear from a doctor. Dr. Youn explained that the popping sound comes from the galea aponeurotica, a fibrous sheet of connective tissue under your scalp, being pulled off the skull.

In a comment, Dr. Youn continued to warn people of replicating this trend: “It can tear the inside of the scalp, which can bleed a ton on the inside. Think boxer or MMA fighter with scalp hematoma.”

Let’s keep our scalps attached to our skulls, people. If I never have to hear that sound again, I’ll be eternally grateful.
 

The Good: Doctor demonstrates correct EpiPen use

This reaction TikTok from medical student Mutahir Farhan (aka @madmedicine) has over 252,000 likes and hundreds of comments. In it, Ms. Farhan watches a video of a young woman attempting to administer an EpiPen to her friend, with the caption “How NOT to use an EpiPen” over it (in bright red, of course).

The woman in the video is using the wrong end of the EpiPen against her friend’s leg, so it isn’t working. When she uses her thumb to press down and help, her thumb is actually pressed against the needle end and the EpiPen sticks her instead of her friend. Ouch!

Ms. Farhan goes on to explain the anatomy of the EpiPen and shows his audience of 1.1 million followers where to inject it.

“You gotta remember that the orange tip is where the needle comes out. Otherwise, you’re going to end up stabbing yourself with epinephrine, like that girl in the video,” Ms. Farhan says. He goes on to instruct the important, but often overlooked, follow-up: “After you stab someone with epinephrine, call 911 or go to the ER, so that we can make sure they’re actually okay and good to go.”
 

The Bad: Liquid chlorophyll

Here is another one of those tricky trends that are so widespread and popular that it’s hard to find exactly where it originated from. A video from @lenamaiah has over 5 million views and 800,000 likes, which even by TikTok standards, is a lot. TikTok is rife with similar videos, which feature drops of liquid chlorophyll being added to water and smoothies.

The pretty emerald hue is mesmerizing and it’s hard to resist trying it out when it’s being peddled by seemingly every pretty, smooth-skinned pseudo-model on the platform. In this video, Lena says drinking a glass of water with a few drops of chlorophyll can reduce inflammation, get rid of eye bags, boost your vitamin levels, reduce free radical damage, detoxify your system, and file your taxes. Okay, I made that last one up, but it follows, doesn’t it? This stuff sounds pretty good. Maybe too good.

Chlorophyll, if you skipped biology class (somehow, I doubt you did), is what makes plants green. Medscape has a detailed explanation of chlorophyll, but all you really need to know is that it’s the secret to that cool thing plants do: photosynthesis, or turning sunlight into energy. Scientists have been trying to find uses for it in people since the 1940s. Unfortunately, studies never found much that it can do for us, aside from being kind of deodorizing. So, while it’s been historically marketed as toothpaste and deodorant, the new TikTok claims of it being a cure-all or the next big skincare supplement are not widely substantiated by scientific studies. The only real evidence of it being effective is word of mouth from those who claim to like the way they look or feel since taking it, which isn’t enough for doctors to recommend it.

TikTok’s resident dermatologist, Muneeb Shah, DO, stitched a TikTok from another user, with his captions explaining, “[There’s] no scientific evidence for liquid chlorophyll [helping] rosacea or acne.”

His advice: “Chlorophyll is great, but just eat more veggies.”

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

A new meta-analysis appears to show that colchicine has no benefit as a treatment for COVID-19, but its inclusion of trials studying differing patient populations and testing different outcomes led to “misleading” results, says a researcher involved in one of the trials.

The meta-analysis, which includes data from the recent Randomised Evaluation of COVID-19 Therapy (RECOVERY) trial, was published Nov. 22 in RMD Open.

Kedar Gautambhai Mehta, MBBS, MD, of the GMERS Medical College Gotri in Vadodara, India, and colleagues included outcomes from six studies of 16,148 patients with COVID-19 who received colchicine or supportive care. They evaluated the efficacy outcomes of mortality, need for ventilation, intensive care unit admission, and length of stay in hospital, as well as safety outcomes of adverse events, serious adverse events, and diarrhea.

The studies in the meta-analysis included a randomized, controlled trial (RCT) of 105 patients hospitalized with COVID-19 in Greece, the international, open-label RECOVERY RCT of 11,340 patients hospitalized with COVID-19, an RCT of 72 hospitalized patients with moderate or severe COVID-19 in Brazil, an RCT of 100 patients hospitalized with COVID-19 in Iran, the international COLCORONA trial of 4,488 patients with COVID-19 who were treated with colchicine or placebo on an outpatient basis, and the randomized COLORIT trial of 43 patients hospitalized with COVID-19 in Russia.
 

Studies “asked very different questions” about colchicine

Commenting on the meta-analysis, Michael H. Pillinger, MD, a rheumatologist and professor of medicine, biochemistry, and molecular pharmacology with New York University, said the authors combined studies “that are not comparable and that asked very different questions.” Two of the studies in the meta-analysis are very large, and four are very small, which skews the results, he explained.

“The larger studies therefore drive the outcome, and while the small studies are potentially insight providing, the large studies are the only ones worth giving our attention to in the context of the meta-analysis,” he said. The two largest studies – RECOVERY and COLCORONA – taken together show no benefit for colchicine as a treatment, even though the former demonstrated no benefit and the latter did show a benefit, explained Dr. Pillinger, a co–principal investigator for the COLCORONA trial in the United States.

The studies were designed differently and should not have been included in the same analysis, Dr. Pillinger argued. In the case of COLCORONA, early treatment with colchicine was the intervention, whereas RECOVERY focused on hospitalized patients.

“In designing [COLCORONA], the author group (of whom I was a member) expressly rejected the idea that colchicine might be useful for the sicker hospitalized patients, based on the long experience with colchicine of some of us as rheumatologists,” Dr. Pillinger said.

“In short, COLCORONA proved a benefit of colchicine in outpatient COVID-19, and its authors presumed there would be no inpatient benefit; RECOVERY went ahead and proved a lack of inpatient benefit, at least when high-dose steroids were also given,” he said. “While there is no conflict between these results, the combination of the two studies in this meta-analysis suggests there might be no benefit for colchicine overall, which is misleading and can lead physicians to reject the potential of outpatient colchicine, even for future studies.”

Dr. Pillinger said he still believes colchicine has potential value as a COVID-19 treatment option for patients with mild disease, “especially for low–vaccine rate, resource-starved countries.

“It would be unfortunate if meta-analyses such as this one would put a stop to colchicine’s use, or at least its further investigation,” he said.
 

Study details

The authors of the study assessed heterogeneity of the trials’ data across the outcomes using an I2 test. They evaluated the quality of the evidence for the outcomes using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE).

The results of their meta-analysis showed that colchicine offered no significant improvement in mortality in six studies (risk difference, –0.0; 95% confidence interval, –0.01 to 0.01; I2 = 15%). It showed no benefit with respect to requiring ventilatory support in five studies of 15,519 patients (risk ratio, 0.67; 95% CI, 0.38-1.21; I2 = 47%); being admitted to the ICU in three studies with 220 patients (RR, 0.49; 95% CI, 0.19-1.25; I2 = 34%); and length of stay while in the hospital in four studies of 11,560 patients (mean difference, –1.17; 95% CI, –3.02 to 0.67; I2 = 77%).

There was no difference in serious adverse events in three studies with 4,665 patients (RD, –0.01; 95% CI, –0.02 to 0.00; I2 = 28%) for patients who received colchicine, compared with supportive care alone. Patients who received colchicine were more likely to have a higher rate of adverse events (RR, 1.58; 95% CI, 1.07-2.33; I2 = 81%) and to experience diarrhea (RR, 1.93; 95% CI, 1.62-2.29; I2 = 0%) than were patients who received supportive care alone. The researchers note that for most outcomes, the GRADE quality of evidence was moderate.

“Our findings on colchicine should be interpreted cautiously due to the inclusion of open-labeled, randomized clinical trials,” Dr. Mehta and colleagues write. “The analysis of efficacy and safety outcomes are based on a small number of RCTs in control interventions.”

The authors reported no relevant financial relationships. Dr. Pillinger is co–principal investigator of the U.S. component of the COLCORONA trial; he reported no other relevant conflicts of interest.

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

A new meta-analysis appears to show that colchicine has no benefit as a treatment for COVID-19, but its inclusion of trials studying differing patient populations and testing different outcomes led to “misleading” results, says a researcher involved in one of the trials.

The meta-analysis, which includes data from the recent Randomised Evaluation of COVID-19 Therapy (RECOVERY) trial, was published Nov. 22 in RMD Open.

Kedar Gautambhai Mehta, MBBS, MD, of the GMERS Medical College Gotri in Vadodara, India, and colleagues included outcomes from six studies of 16,148 patients with COVID-19 who received colchicine or supportive care. They evaluated the efficacy outcomes of mortality, need for ventilation, intensive care unit admission, and length of stay in hospital, as well as safety outcomes of adverse events, serious adverse events, and diarrhea.

The studies in the meta-analysis included a randomized, controlled trial (RCT) of 105 patients hospitalized with COVID-19 in Greece, the international, open-label RECOVERY RCT of 11,340 patients hospitalized with COVID-19, an RCT of 72 hospitalized patients with moderate or severe COVID-19 in Brazil, an RCT of 100 patients hospitalized with COVID-19 in Iran, the international COLCORONA trial of 4,488 patients with COVID-19 who were treated with colchicine or placebo on an outpatient basis, and the randomized COLORIT trial of 43 patients hospitalized with COVID-19 in Russia.
 

Studies “asked very different questions” about colchicine

Commenting on the meta-analysis, Michael H. Pillinger, MD, a rheumatologist and professor of medicine, biochemistry, and molecular pharmacology with New York University, said the authors combined studies “that are not comparable and that asked very different questions.” Two of the studies in the meta-analysis are very large, and four are very small, which skews the results, he explained.

“The larger studies therefore drive the outcome, and while the small studies are potentially insight providing, the large studies are the only ones worth giving our attention to in the context of the meta-analysis,” he said. The two largest studies – RECOVERY and COLCORONA – taken together show no benefit for colchicine as a treatment, even though the former demonstrated no benefit and the latter did show a benefit, explained Dr. Pillinger, a co–principal investigator for the COLCORONA trial in the United States.

The studies were designed differently and should not have been included in the same analysis, Dr. Pillinger argued. In the case of COLCORONA, early treatment with colchicine was the intervention, whereas RECOVERY focused on hospitalized patients.

“In designing [COLCORONA], the author group (of whom I was a member) expressly rejected the idea that colchicine might be useful for the sicker hospitalized patients, based on the long experience with colchicine of some of us as rheumatologists,” Dr. Pillinger said.

“In short, COLCORONA proved a benefit of colchicine in outpatient COVID-19, and its authors presumed there would be no inpatient benefit; RECOVERY went ahead and proved a lack of inpatient benefit, at least when high-dose steroids were also given,” he said. “While there is no conflict between these results, the combination of the two studies in this meta-analysis suggests there might be no benefit for colchicine overall, which is misleading and can lead physicians to reject the potential of outpatient colchicine, even for future studies.”

Dr. Pillinger said he still believes colchicine has potential value as a COVID-19 treatment option for patients with mild disease, “especially for low–vaccine rate, resource-starved countries.

“It would be unfortunate if meta-analyses such as this one would put a stop to colchicine’s use, or at least its further investigation,” he said.
 

Study details

The authors of the study assessed heterogeneity of the trials’ data across the outcomes using an I2 test. They evaluated the quality of the evidence for the outcomes using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE).

The results of their meta-analysis showed that colchicine offered no significant improvement in mortality in six studies (risk difference, –0.0; 95% confidence interval, –0.01 to 0.01; I2 = 15%). It showed no benefit with respect to requiring ventilatory support in five studies of 15,519 patients (risk ratio, 0.67; 95% CI, 0.38-1.21; I2 = 47%); being admitted to the ICU in three studies with 220 patients (RR, 0.49; 95% CI, 0.19-1.25; I2 = 34%); and length of stay while in the hospital in four studies of 11,560 patients (mean difference, –1.17; 95% CI, –3.02 to 0.67; I2 = 77%).

There was no difference in serious adverse events in three studies with 4,665 patients (RD, –0.01; 95% CI, –0.02 to 0.00; I2 = 28%) for patients who received colchicine, compared with supportive care alone. Patients who received colchicine were more likely to have a higher rate of adverse events (RR, 1.58; 95% CI, 1.07-2.33; I2 = 81%) and to experience diarrhea (RR, 1.93; 95% CI, 1.62-2.29; I2 = 0%) than were patients who received supportive care alone. The researchers note that for most outcomes, the GRADE quality of evidence was moderate.

“Our findings on colchicine should be interpreted cautiously due to the inclusion of open-labeled, randomized clinical trials,” Dr. Mehta and colleagues write. “The analysis of efficacy and safety outcomes are based on a small number of RCTs in control interventions.”

The authors reported no relevant financial relationships. Dr. Pillinger is co–principal investigator of the U.S. component of the COLCORONA trial; he reported no other relevant conflicts of interest.

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

A new meta-analysis appears to show that colchicine has no benefit as a treatment for COVID-19, but its inclusion of trials studying differing patient populations and testing different outcomes led to “misleading” results, says a researcher involved in one of the trials.

The meta-analysis, which includes data from the recent Randomised Evaluation of COVID-19 Therapy (RECOVERY) trial, was published Nov. 22 in RMD Open.

Kedar Gautambhai Mehta, MBBS, MD, of the GMERS Medical College Gotri in Vadodara, India, and colleagues included outcomes from six studies of 16,148 patients with COVID-19 who received colchicine or supportive care. They evaluated the efficacy outcomes of mortality, need for ventilation, intensive care unit admission, and length of stay in hospital, as well as safety outcomes of adverse events, serious adverse events, and diarrhea.

The studies in the meta-analysis included a randomized, controlled trial (RCT) of 105 patients hospitalized with COVID-19 in Greece, the international, open-label RECOVERY RCT of 11,340 patients hospitalized with COVID-19, an RCT of 72 hospitalized patients with moderate or severe COVID-19 in Brazil, an RCT of 100 patients hospitalized with COVID-19 in Iran, the international COLCORONA trial of 4,488 patients with COVID-19 who were treated with colchicine or placebo on an outpatient basis, and the randomized COLORIT trial of 43 patients hospitalized with COVID-19 in Russia.
 

Studies “asked very different questions” about colchicine

Commenting on the meta-analysis, Michael H. Pillinger, MD, a rheumatologist and professor of medicine, biochemistry, and molecular pharmacology with New York University, said the authors combined studies “that are not comparable and that asked very different questions.” Two of the studies in the meta-analysis are very large, and four are very small, which skews the results, he explained.

“The larger studies therefore drive the outcome, and while the small studies are potentially insight providing, the large studies are the only ones worth giving our attention to in the context of the meta-analysis,” he said. The two largest studies – RECOVERY and COLCORONA – taken together show no benefit for colchicine as a treatment, even though the former demonstrated no benefit and the latter did show a benefit, explained Dr. Pillinger, a co–principal investigator for the COLCORONA trial in the United States.

The studies were designed differently and should not have been included in the same analysis, Dr. Pillinger argued. In the case of COLCORONA, early treatment with colchicine was the intervention, whereas RECOVERY focused on hospitalized patients.

“In designing [COLCORONA], the author group (of whom I was a member) expressly rejected the idea that colchicine might be useful for the sicker hospitalized patients, based on the long experience with colchicine of some of us as rheumatologists,” Dr. Pillinger said.

“In short, COLCORONA proved a benefit of colchicine in outpatient COVID-19, and its authors presumed there would be no inpatient benefit; RECOVERY went ahead and proved a lack of inpatient benefit, at least when high-dose steroids were also given,” he said. “While there is no conflict between these results, the combination of the two studies in this meta-analysis suggests there might be no benefit for colchicine overall, which is misleading and can lead physicians to reject the potential of outpatient colchicine, even for future studies.”

Dr. Pillinger said he still believes colchicine has potential value as a COVID-19 treatment option for patients with mild disease, “especially for low–vaccine rate, resource-starved countries.

“It would be unfortunate if meta-analyses such as this one would put a stop to colchicine’s use, or at least its further investigation,” he said.
 

Study details

The authors of the study assessed heterogeneity of the trials’ data across the outcomes using an I2 test. They evaluated the quality of the evidence for the outcomes using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE).

The results of their meta-analysis showed that colchicine offered no significant improvement in mortality in six studies (risk difference, –0.0; 95% confidence interval, –0.01 to 0.01; I2 = 15%). It showed no benefit with respect to requiring ventilatory support in five studies of 15,519 patients (risk ratio, 0.67; 95% CI, 0.38-1.21; I2 = 47%); being admitted to the ICU in three studies with 220 patients (RR, 0.49; 95% CI, 0.19-1.25; I2 = 34%); and length of stay while in the hospital in four studies of 11,560 patients (mean difference, –1.17; 95% CI, –3.02 to 0.67; I2 = 77%).

There was no difference in serious adverse events in three studies with 4,665 patients (RD, –0.01; 95% CI, –0.02 to 0.00; I2 = 28%) for patients who received colchicine, compared with supportive care alone. Patients who received colchicine were more likely to have a higher rate of adverse events (RR, 1.58; 95% CI, 1.07-2.33; I2 = 81%) and to experience diarrhea (RR, 1.93; 95% CI, 1.62-2.29; I2 = 0%) than were patients who received supportive care alone. The researchers note that for most outcomes, the GRADE quality of evidence was moderate.

“Our findings on colchicine should be interpreted cautiously due to the inclusion of open-labeled, randomized clinical trials,” Dr. Mehta and colleagues write. “The analysis of efficacy and safety outcomes are based on a small number of RCTs in control interventions.”

The authors reported no relevant financial relationships. Dr. Pillinger is co–principal investigator of the U.S. component of the COLCORONA trial; he reported no other relevant conflicts of interest.

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

From the Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA (Drs. Ching, Darwish, Li, Wong, Simpson, and Funk), the Department of Anesthesia, Cedars-Sinai Medical Center, Los Angeles, CA (Keith Siegel), and the Department of Psychiatry, Cedars-Sinai Medical Center, Los Angeles, CA (Dr. Bamgbose).

Objectives: To reduce the incidence and duration of delirium among patients in a hospital ward through standardized delirium screening tools and nonpharmacologic interventions. To advance nursing-focused education on delirium-prevention strategies. To measure the efficacy of the interventions with the aim of reproducing best practices.

Background: Delirium is associated with poor patient outcomes but may be preventable in a significant percentage of hospitalized patients.

Methods: Following nursing-focused education to prevent delirium, we prospectively evaluated patient care outcomes in a consecutive series of patients who were admitted to a hospital medical-surgical ward within a 25-week period. All patients who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria (N = 353). Standards for Quality Improvement Reporting Excellence guidelines were adhered to.

Results: There were 187 patients in the control group, and 166 in the postintervention group. Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days), mean length of stay (8.5 days vs 5.9 days), and use of an indwelling urinary catheter (9.1% vs 2.4%).

Conclusion: A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs.

Delirium is a disorder characterized by inattention and acute changes in cognition. It is defined by the American Psychiatric Association’s fifth edition of the Diagnostic and Statistical Manual of Mental Disorders as a disturbance in attention, awareness, and cognition over hours to a few days that is not better explained by a preexisting, established, or other evolving neurocognitive disorder.¹ Delirium is common yet often under-recognized among hospitalized patients, particularly in the elderly. The incidence of delirium in elderly patients on admission is estimated to be 11% to 25%, and an additional 29% to 31% of elderly patients will develop delirium during the hospitalization.² Delirium costs the health care system an estimated $38 billion to $152 billion per year.³ It is associated with negative outcomes, such as increased new placements to nursing homes, increased mortality, increased risk of dementia, and further cognitive deterioration among patients with dementia.^4-6

Despite its prevalence, delirium may be preventable in a significant percentage of hospitalized patients. Targeted intervention strategies, such as frequent reorientation, maximizing sleep, early mobilization, restricting use of psychoactive medications, and addressing hearing or vision impairment, have been demonstrated to significantly reduce the incidence of hospital delirium.^7,8 To achieve these goals, we explored the use of a multimodal strategy centered on nursing education. We integrated consistent, standardized delirium screening and nonpharmacologic interventions as part of a preventative protocol to reduce the incidence of delirium in the hospital ward.

Methods

We evaluated a consecutive series of patients who were admitted to a designated hospital medical-surgical ward within a 25-week period between October 2019 and April 2020. All patients during this period who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria. Patients who did not have a CAM documented were excluded from the analysis. Delirium was defined according to the CAM diagnostic algorithm.⁹

Core nursing staff regularly assigned to the ward completed a multimodal training program designed to improve recognition, documentation, and prevention of hospital delirium. Prior to the training, the nurses completed a 5-point Likert scale survey assessing their level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium. Nurses completed the same survey after the study period ended.

The training curriculum for nurses began with an online module reviewing the epidemiology and risk factors for delirium. Nurses then participated in a series of in-service training sessions led by a team of physicians, during which the CAM and nonpharmacologic delirium prevention measures were reviewed then practiced first-hand. Nursing staff attended an in-person lecture reviewing the current body of literature on delirium risk factors and effective nursing interventions. After formal training was completed, nurses were instructed to document CAM screens for each patient under their care at least once every 12-hour shift for the remainder of the study. An order set, reflected in Table 1, was made available to physicians and floor nurses to assist with implementing the educational components.

Patients admitted to the hospital unit from the start of the training program (week 1) until the order set was made available (week 15) constituted our control group. The postintervention study group consisted of patients admitted for 10 weeks after the completion of the interventions (weeks 16-25). A timeline of the study events is shown in Figure 1.

Patient demographics and hospital-stay metrics determined a priori were attained via the Cedars-Sinai Enterprise Information Services core. Age, sex, medical history, and incidence of surgery with anesthesia during hospitalization were recorded. The Charlson Comorbidity Index was calculated from patients’ listed diagnoses following discharge. Primary outcomes included incidence of patients with delirium during hospitalization, percentage of tested shifts with positive CAM screens, length of hospital stay, and survival. Secondary outcomes included measures associated with delirium, including the use of chemical restraints, physical restraints, sitters, indwelling urinary catheters, and new psychiatry and neurology consults. Chemical restraints were defined as administration of a new antipsychotic medication or benzodiazepine for the specific indication of hyperactive delirium or agitation.            

Statistical analysis was conducted by a statistician, using R version 3.6.3.10P values of < .05 were considered significant. Categorical variables were analyzed using Fisher’s exact test. Continuous variables were analyzed with Welch’s t-test or, for highly skewed continuous variables, with Wilcoxon rank-sum test or Mood’s median test. All patient data were anonymized and stored securely in accordance with institutional guidelines.

Our project was deemed to represent nonhuman subject research and therefore did not require Institutional Review Board (IRB) approval upon review by our institution’s IRB committee and Office of Research Compliance and Quality Improvement. Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were adhered to (Supplementary File can be found at mdedge.com/jcomjournal).

Results

We evaluated 353 patients who met our inclusion criteria: 187 in the control group, and 166 in the postintervention group. Ten patients were readmitted to the ward after their initial discharge; only the initial admission encounters were included in our analysis. Median age, sex, median Charlson Comorbidity Index, and incidence of surgery with anesthesia during hospitalization were comparable between the control and postintervention groups and are summarized in Table 2.

In the control group, 1572 CAMs were performed, with 74 positive CAMs recorded among 27 patients with delirium. In the postintervention group, 1298 CAMs were performed, with 12 positive CAMs recorded among 7 patients with delirium (Figure 2). Primary and secondary outcomes, as well as CAM compliance measures, are summarized in Table 3.

Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%, P = .002) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%, P = .002). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days, P = .004), mean length of stay (8.5 days vs 5.9 days, P = .003), and use of an indwelling urinary catheter (9.1% vs 2.4%, P = .012). There was a trend towards decreased incidence of chemical restraints and psychiatry consults, which did not reach statistical significance. Differences in mortality during hospitalization, physical restraint use, and sitter use could not be assessed due to low incidence.

Results of nursing surveys completed before and after the training program are listed in Table 4. After training, nurses had a greater level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium.

Discussion

Our study utilized a standardized delirium assessment tool to compare patient cohorts before and after nurse-targeted training interventions on delirium recognition and prevention. Our interventions emphasized nonpharmacologic intervention strategies, which are recommended as first-line in the management of patients with delirium.¹¹ Patients were not excluded from the analysis based on preexisting medical conditions or recent surgery with anesthesia, to allow for conditions that are representative of community hospitals. We also did not use an inclusion criterion based on age; however, the majority of our patients were greater than 70 years old, representing those at highest risk for delirium.² Significant outcomes among patients in the postintervention group include decreased incidence of delirium, lower average length of stay, decreased indwelling urinary catheter use, and increased compliance with delirium screening by nursing staff.

While the study’s focus was primarily on delirium prevention rather than treatment, these strategies may also have conferred the benefit of reversing delirium symptoms. In addition to measuring incidence of delirium, our primary outcome of percentage of tested shifts with 1 or more positive CAM was intended to assess the overall duration in which patients had delirium during their hospitalization. The reduction in shifts with positive CAMs observed in the postintervention group is notable, given that a significant percentage of patients with hospital delirium have the potential for symptom reversibility.¹²

Multiple studies have shown that admitted patients who develop delirium experience prolonged hospital stays, often up to 5 to 10 days longer.^12-14 The decreased incidence and duration of delirium in our postintervention group is a reasonable explanation for the observed decrease in average length of stay. Our study is in line with previously documented initiatives that show that nonpharmacologic interventions can effectively address downstream health and fiscal sequelae of hospital delirium. For example, a volunteer-based initiative named the Hospital Elder Life Program, from which elements in our order set were modeled after, demonstrated significant reductions in delirium incidence, length of stay, and health care costs.^14-16 Other initiatives that focused on educational training for nurses to assess and prevent delirium have also demonstrated similar positive results.^17-19 Our study provides a model for effective nursing-focused education that can be reproduced in the hospital setting.

Unlike some other studies, which identified delirium based only on physician assessments, our initiative utilized the CAM performed by floor nurses to identify delirium. While this method may have affected the sensitivity and specificity of the CAMs, it also conferred the advantage of recognizing, documenting, and intervening on delirium in real time, given that bedside nurses are often the first to encounter delirium. Furthermore, nurses were instructed to notify a physician if a patient had a new positive CAM, as reflected in Table 1.

Our study demonstrated an increase in the overall compliance with the CAM screening during the postintervention period, which is significant given the under-recognition of delirium by health care professionals.²⁰ We attribute this increase to greater realized importance and a higher level of confidence from nursing staff in recognizing and addressing delirium, as supported by survey data. While the increased screening of patients should be considered a positive outcome, it also poses the possibility that the observed decrease in delirium incidence in the postintervention group was in fact due to more CAMs performed on patients without delirium. Likewise, nurses may have become more adept at recognizing true delirium, as opposed to delirium mimics, in the latter period of the study.

Perhaps the greatest limitation of our study is the variability in performing and recording CAMs, as some patients had multiple CAMs recorded while others did not have any CAMs recorded. This may have been affected in part by the increase in COVID-19 cases in our hospital towards the latter half of the study, which resulted in changes in nursing assignments as well as patient comorbidities in ways that cannot be easily quantified. Given the limited size of our patient cohorts, certain outcomes, such as the use of sitters, physical restraints, and in-hospital mortality, were unable to be assessed for changes statistically. Causative relationships between our interventions and associated outcome measures are necessarily limited in a binary comparison between control and postintervention groups.

Within these limitations, our study demonstrates promising results in core dimensions of patient care. We anticipate further quality improvement initiatives involving greater numbers of nursing staff and patients to better quantify the impact of nonpharmacologic nursing-centered interventions for preventing hospital delirium.

Conclusion

A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs. Education and tools to equip nurses to perform standardized delirium screening and interventions should be prioritized.

Acknowledgment: The authors thanks Olena Svetlov, NP, Oscar Abarca, Jose Chavez, and Jenita Gutierrez.

Corresponding author: Jason Ching, MD, Department of Neurology, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048; [email protected].

Financial disclosures: None.

Funding: This research was supported by NIH National Center for Advancing Translational Science (NCATS) UCLA CTSI Grant Number UL1TR001881.

From the Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA (Drs. Ching, Darwish, Li, Wong, Simpson, and Funk), the Department of Anesthesia, Cedars-Sinai Medical Center, Los Angeles, CA (Keith Siegel), and the Department of Psychiatry, Cedars-Sinai Medical Center, Los Angeles, CA (Dr. Bamgbose).

Objectives: To reduce the incidence and duration of delirium among patients in a hospital ward through standardized delirium screening tools and nonpharmacologic interventions. To advance nursing-focused education on delirium-prevention strategies. To measure the efficacy of the interventions with the aim of reproducing best practices.

Background: Delirium is associated with poor patient outcomes but may be preventable in a significant percentage of hospitalized patients.

Methods: Following nursing-focused education to prevent delirium, we prospectively evaluated patient care outcomes in a consecutive series of patients who were admitted to a hospital medical-surgical ward within a 25-week period. All patients who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria (N = 353). Standards for Quality Improvement Reporting Excellence guidelines were adhered to.

Results: There were 187 patients in the control group, and 166 in the postintervention group. Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days), mean length of stay (8.5 days vs 5.9 days), and use of an indwelling urinary catheter (9.1% vs 2.4%).

Conclusion: A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs.

Delirium is a disorder characterized by inattention and acute changes in cognition. It is defined by the American Psychiatric Association’s fifth edition of the Diagnostic and Statistical Manual of Mental Disorders as a disturbance in attention, awareness, and cognition over hours to a few days that is not better explained by a preexisting, established, or other evolving neurocognitive disorder.¹ Delirium is common yet often under-recognized among hospitalized patients, particularly in the elderly. The incidence of delirium in elderly patients on admission is estimated to be 11% to 25%, and an additional 29% to 31% of elderly patients will develop delirium during the hospitalization.² Delirium costs the health care system an estimated $38 billion to $152 billion per year.³ It is associated with negative outcomes, such as increased new placements to nursing homes, increased mortality, increased risk of dementia, and further cognitive deterioration among patients with dementia.^4-6

Despite its prevalence, delirium may be preventable in a significant percentage of hospitalized patients. Targeted intervention strategies, such as frequent reorientation, maximizing sleep, early mobilization, restricting use of psychoactive medications, and addressing hearing or vision impairment, have been demonstrated to significantly reduce the incidence of hospital delirium.^7,8 To achieve these goals, we explored the use of a multimodal strategy centered on nursing education. We integrated consistent, standardized delirium screening and nonpharmacologic interventions as part of a preventative protocol to reduce the incidence of delirium in the hospital ward.

Methods

We evaluated a consecutive series of patients who were admitted to a designated hospital medical-surgical ward within a 25-week period between October 2019 and April 2020. All patients during this period who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria. Patients who did not have a CAM documented were excluded from the analysis. Delirium was defined according to the CAM diagnostic algorithm.⁹

Core nursing staff regularly assigned to the ward completed a multimodal training program designed to improve recognition, documentation, and prevention of hospital delirium. Prior to the training, the nurses completed a 5-point Likert scale survey assessing their level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium. Nurses completed the same survey after the study period ended.

The training curriculum for nurses began with an online module reviewing the epidemiology and risk factors for delirium. Nurses then participated in a series of in-service training sessions led by a team of physicians, during which the CAM and nonpharmacologic delirium prevention measures were reviewed then practiced first-hand. Nursing staff attended an in-person lecture reviewing the current body of literature on delirium risk factors and effective nursing interventions. After formal training was completed, nurses were instructed to document CAM screens for each patient under their care at least once every 12-hour shift for the remainder of the study. An order set, reflected in Table 1, was made available to physicians and floor nurses to assist with implementing the educational components.

Patients admitted to the hospital unit from the start of the training program (week 1) until the order set was made available (week 15) constituted our control group. The postintervention study group consisted of patients admitted for 10 weeks after the completion of the interventions (weeks 16-25). A timeline of the study events is shown in Figure 1.

Patient demographics and hospital-stay metrics determined a priori were attained via the Cedars-Sinai Enterprise Information Services core. Age, sex, medical history, and incidence of surgery with anesthesia during hospitalization were recorded. The Charlson Comorbidity Index was calculated from patients’ listed diagnoses following discharge. Primary outcomes included incidence of patients with delirium during hospitalization, percentage of tested shifts with positive CAM screens, length of hospital stay, and survival. Secondary outcomes included measures associated with delirium, including the use of chemical restraints, physical restraints, sitters, indwelling urinary catheters, and new psychiatry and neurology consults. Chemical restraints were defined as administration of a new antipsychotic medication or benzodiazepine for the specific indication of hyperactive delirium or agitation.            

Statistical analysis was conducted by a statistician, using R version 3.6.3.10P values of < .05 were considered significant. Categorical variables were analyzed using Fisher’s exact test. Continuous variables were analyzed with Welch’s t-test or, for highly skewed continuous variables, with Wilcoxon rank-sum test or Mood’s median test. All patient data were anonymized and stored securely in accordance with institutional guidelines.

Our project was deemed to represent nonhuman subject research and therefore did not require Institutional Review Board (IRB) approval upon review by our institution’s IRB committee and Office of Research Compliance and Quality Improvement. Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were adhered to (Supplementary File can be found at mdedge.com/jcomjournal).

Results

We evaluated 353 patients who met our inclusion criteria: 187 in the control group, and 166 in the postintervention group. Ten patients were readmitted to the ward after their initial discharge; only the initial admission encounters were included in our analysis. Median age, sex, median Charlson Comorbidity Index, and incidence of surgery with anesthesia during hospitalization were comparable between the control and postintervention groups and are summarized in Table 2.

In the control group, 1572 CAMs were performed, with 74 positive CAMs recorded among 27 patients with delirium. In the postintervention group, 1298 CAMs were performed, with 12 positive CAMs recorded among 7 patients with delirium (Figure 2). Primary and secondary outcomes, as well as CAM compliance measures, are summarized in Table 3.

Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%, P = .002) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%, P = .002). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days, P = .004), mean length of stay (8.5 days vs 5.9 days, P = .003), and use of an indwelling urinary catheter (9.1% vs 2.4%, P = .012). There was a trend towards decreased incidence of chemical restraints and psychiatry consults, which did not reach statistical significance. Differences in mortality during hospitalization, physical restraint use, and sitter use could not be assessed due to low incidence.

Results of nursing surveys completed before and after the training program are listed in Table 4. After training, nurses had a greater level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium.

Discussion

Our study utilized a standardized delirium assessment tool to compare patient cohorts before and after nurse-targeted training interventions on delirium recognition and prevention. Our interventions emphasized nonpharmacologic intervention strategies, which are recommended as first-line in the management of patients with delirium.¹¹ Patients were not excluded from the analysis based on preexisting medical conditions or recent surgery with anesthesia, to allow for conditions that are representative of community hospitals. We also did not use an inclusion criterion based on age; however, the majority of our patients were greater than 70 years old, representing those at highest risk for delirium.² Significant outcomes among patients in the postintervention group include decreased incidence of delirium, lower average length of stay, decreased indwelling urinary catheter use, and increased compliance with delirium screening by nursing staff.

While the study’s focus was primarily on delirium prevention rather than treatment, these strategies may also have conferred the benefit of reversing delirium symptoms. In addition to measuring incidence of delirium, our primary outcome of percentage of tested shifts with 1 or more positive CAM was intended to assess the overall duration in which patients had delirium during their hospitalization. The reduction in shifts with positive CAMs observed in the postintervention group is notable, given that a significant percentage of patients with hospital delirium have the potential for symptom reversibility.¹²

Multiple studies have shown that admitted patients who develop delirium experience prolonged hospital stays, often up to 5 to 10 days longer.^12-14 The decreased incidence and duration of delirium in our postintervention group is a reasonable explanation for the observed decrease in average length of stay. Our study is in line with previously documented initiatives that show that nonpharmacologic interventions can effectively address downstream health and fiscal sequelae of hospital delirium. For example, a volunteer-based initiative named the Hospital Elder Life Program, from which elements in our order set were modeled after, demonstrated significant reductions in delirium incidence, length of stay, and health care costs.^14-16 Other initiatives that focused on educational training for nurses to assess and prevent delirium have also demonstrated similar positive results.^17-19 Our study provides a model for effective nursing-focused education that can be reproduced in the hospital setting.

Unlike some other studies, which identified delirium based only on physician assessments, our initiative utilized the CAM performed by floor nurses to identify delirium. While this method may have affected the sensitivity and specificity of the CAMs, it also conferred the advantage of recognizing, documenting, and intervening on delirium in real time, given that bedside nurses are often the first to encounter delirium. Furthermore, nurses were instructed to notify a physician if a patient had a new positive CAM, as reflected in Table 1.

Our study demonstrated an increase in the overall compliance with the CAM screening during the postintervention period, which is significant given the under-recognition of delirium by health care professionals.²⁰ We attribute this increase to greater realized importance and a higher level of confidence from nursing staff in recognizing and addressing delirium, as supported by survey data. While the increased screening of patients should be considered a positive outcome, it also poses the possibility that the observed decrease in delirium incidence in the postintervention group was in fact due to more CAMs performed on patients without delirium. Likewise, nurses may have become more adept at recognizing true delirium, as opposed to delirium mimics, in the latter period of the study.

Perhaps the greatest limitation of our study is the variability in performing and recording CAMs, as some patients had multiple CAMs recorded while others did not have any CAMs recorded. This may have been affected in part by the increase in COVID-19 cases in our hospital towards the latter half of the study, which resulted in changes in nursing assignments as well as patient comorbidities in ways that cannot be easily quantified. Given the limited size of our patient cohorts, certain outcomes, such as the use of sitters, physical restraints, and in-hospital mortality, were unable to be assessed for changes statistically. Causative relationships between our interventions and associated outcome measures are necessarily limited in a binary comparison between control and postintervention groups.

Within these limitations, our study demonstrates promising results in core dimensions of patient care. We anticipate further quality improvement initiatives involving greater numbers of nursing staff and patients to better quantify the impact of nonpharmacologic nursing-centered interventions for preventing hospital delirium.

Conclusion

A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs. Education and tools to equip nurses to perform standardized delirium screening and interventions should be prioritized.

Acknowledgment: The authors thanks Olena Svetlov, NP, Oscar Abarca, Jose Chavez, and Jenita Gutierrez.

Corresponding author: Jason Ching, MD, Department of Neurology, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048; [email protected].

Financial disclosures: None.

Funding: This research was supported by NIH National Center for Advancing Translational Science (NCATS) UCLA CTSI Grant Number UL1TR001881.

From the Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA (Drs. Ching, Darwish, Li, Wong, Simpson, and Funk), the Department of Anesthesia, Cedars-Sinai Medical Center, Los Angeles, CA (Keith Siegel), and the Department of Psychiatry, Cedars-Sinai Medical Center, Los Angeles, CA (Dr. Bamgbose).

Objectives: To reduce the incidence and duration of delirium among patients in a hospital ward through standardized delirium screening tools and nonpharmacologic interventions. To advance nursing-focused education on delirium-prevention strategies. To measure the efficacy of the interventions with the aim of reproducing best practices.

Background: Delirium is associated with poor patient outcomes but may be preventable in a significant percentage of hospitalized patients.

Methods: Following nursing-focused education to prevent delirium, we prospectively evaluated patient care outcomes in a consecutive series of patients who were admitted to a hospital medical-surgical ward within a 25-week period. All patients who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria (N = 353). Standards for Quality Improvement Reporting Excellence guidelines were adhered to.

Results: There were 187 patients in the control group, and 166 in the postintervention group. Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days), mean length of stay (8.5 days vs 5.9 days), and use of an indwelling urinary catheter (9.1% vs 2.4%).

Conclusion: A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs.

Delirium is a disorder characterized by inattention and acute changes in cognition. It is defined by the American Psychiatric Association’s fifth edition of the Diagnostic and Statistical Manual of Mental Disorders as a disturbance in attention, awareness, and cognition over hours to a few days that is not better explained by a preexisting, established, or other evolving neurocognitive disorder.¹ Delirium is common yet often under-recognized among hospitalized patients, particularly in the elderly. The incidence of delirium in elderly patients on admission is estimated to be 11% to 25%, and an additional 29% to 31% of elderly patients will develop delirium during the hospitalization.² Delirium costs the health care system an estimated $38 billion to $152 billion per year.³ It is associated with negative outcomes, such as increased new placements to nursing homes, increased mortality, increased risk of dementia, and further cognitive deterioration among patients with dementia.^4-6

Despite its prevalence, delirium may be preventable in a significant percentage of hospitalized patients. Targeted intervention strategies, such as frequent reorientation, maximizing sleep, early mobilization, restricting use of psychoactive medications, and addressing hearing or vision impairment, have been demonstrated to significantly reduce the incidence of hospital delirium.^7,8 To achieve these goals, we explored the use of a multimodal strategy centered on nursing education. We integrated consistent, standardized delirium screening and nonpharmacologic interventions as part of a preventative protocol to reduce the incidence of delirium in the hospital ward.

Methods

We evaluated a consecutive series of patients who were admitted to a designated hospital medical-surgical ward within a 25-week period between October 2019 and April 2020. All patients during this period who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria. Patients who did not have a CAM documented were excluded from the analysis. Delirium was defined according to the CAM diagnostic algorithm.⁹

Core nursing staff regularly assigned to the ward completed a multimodal training program designed to improve recognition, documentation, and prevention of hospital delirium. Prior to the training, the nurses completed a 5-point Likert scale survey assessing their level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium. Nurses completed the same survey after the study period ended.

The training curriculum for nurses began with an online module reviewing the epidemiology and risk factors for delirium. Nurses then participated in a series of in-service training sessions led by a team of physicians, during which the CAM and nonpharmacologic delirium prevention measures were reviewed then practiced first-hand. Nursing staff attended an in-person lecture reviewing the current body of literature on delirium risk factors and effective nursing interventions. After formal training was completed, nurses were instructed to document CAM screens for each patient under their care at least once every 12-hour shift for the remainder of the study. An order set, reflected in Table 1, was made available to physicians and floor nurses to assist with implementing the educational components.

Patients admitted to the hospital unit from the start of the training program (week 1) until the order set was made available (week 15) constituted our control group. The postintervention study group consisted of patients admitted for 10 weeks after the completion of the interventions (weeks 16-25). A timeline of the study events is shown in Figure 1.

Patient demographics and hospital-stay metrics determined a priori were attained via the Cedars-Sinai Enterprise Information Services core. Age, sex, medical history, and incidence of surgery with anesthesia during hospitalization were recorded. The Charlson Comorbidity Index was calculated from patients’ listed diagnoses following discharge. Primary outcomes included incidence of patients with delirium during hospitalization, percentage of tested shifts with positive CAM screens, length of hospital stay, and survival. Secondary outcomes included measures associated with delirium, including the use of chemical restraints, physical restraints, sitters, indwelling urinary catheters, and new psychiatry and neurology consults. Chemical restraints were defined as administration of a new antipsychotic medication or benzodiazepine for the specific indication of hyperactive delirium or agitation.            

Statistical analysis was conducted by a statistician, using R version 3.6.3.10P values of < .05 were considered significant. Categorical variables were analyzed using Fisher’s exact test. Continuous variables were analyzed with Welch’s t-test or, for highly skewed continuous variables, with Wilcoxon rank-sum test or Mood’s median test. All patient data were anonymized and stored securely in accordance with institutional guidelines.

Our project was deemed to represent nonhuman subject research and therefore did not require Institutional Review Board (IRB) approval upon review by our institution’s IRB committee and Office of Research Compliance and Quality Improvement. Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were adhered to (Supplementary File can be found at mdedge.com/jcomjournal).

Results

We evaluated 353 patients who met our inclusion criteria: 187 in the control group, and 166 in the postintervention group. Ten patients were readmitted to the ward after their initial discharge; only the initial admission encounters were included in our analysis. Median age, sex, median Charlson Comorbidity Index, and incidence of surgery with anesthesia during hospitalization were comparable between the control and postintervention groups and are summarized in Table 2.

In the control group, 1572 CAMs were performed, with 74 positive CAMs recorded among 27 patients with delirium. In the postintervention group, 1298 CAMs were performed, with 12 positive CAMs recorded among 7 patients with delirium (Figure 2). Primary and secondary outcomes, as well as CAM compliance measures, are summarized in Table 3.

Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%, P = .002) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%, P = .002). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days, P = .004), mean length of stay (8.5 days vs 5.9 days, P = .003), and use of an indwelling urinary catheter (9.1% vs 2.4%, P = .012). There was a trend towards decreased incidence of chemical restraints and psychiatry consults, which did not reach statistical significance. Differences in mortality during hospitalization, physical restraint use, and sitter use could not be assessed due to low incidence.

Results of nursing surveys completed before and after the training program are listed in Table 4. After training, nurses had a greater level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium.

Discussion

Our study utilized a standardized delirium assessment tool to compare patient cohorts before and after nurse-targeted training interventions on delirium recognition and prevention. Our interventions emphasized nonpharmacologic intervention strategies, which are recommended as first-line in the management of patients with delirium.¹¹ Patients were not excluded from the analysis based on preexisting medical conditions or recent surgery with anesthesia, to allow for conditions that are representative of community hospitals. We also did not use an inclusion criterion based on age; however, the majority of our patients were greater than 70 years old, representing those at highest risk for delirium.² Significant outcomes among patients in the postintervention group include decreased incidence of delirium, lower average length of stay, decreased indwelling urinary catheter use, and increased compliance with delirium screening by nursing staff.

While the study’s focus was primarily on delirium prevention rather than treatment, these strategies may also have conferred the benefit of reversing delirium symptoms. In addition to measuring incidence of delirium, our primary outcome of percentage of tested shifts with 1 or more positive CAM was intended to assess the overall duration in which patients had delirium during their hospitalization. The reduction in shifts with positive CAMs observed in the postintervention group is notable, given that a significant percentage of patients with hospital delirium have the potential for symptom reversibility.¹²

Multiple studies have shown that admitted patients who develop delirium experience prolonged hospital stays, often up to 5 to 10 days longer.^12-14 The decreased incidence and duration of delirium in our postintervention group is a reasonable explanation for the observed decrease in average length of stay. Our study is in line with previously documented initiatives that show that nonpharmacologic interventions can effectively address downstream health and fiscal sequelae of hospital delirium. For example, a volunteer-based initiative named the Hospital Elder Life Program, from which elements in our order set were modeled after, demonstrated significant reductions in delirium incidence, length of stay, and health care costs.^14-16 Other initiatives that focused on educational training for nurses to assess and prevent delirium have also demonstrated similar positive results.^17-19 Our study provides a model for effective nursing-focused education that can be reproduced in the hospital setting.

Unlike some other studies, which identified delirium based only on physician assessments, our initiative utilized the CAM performed by floor nurses to identify delirium. While this method may have affected the sensitivity and specificity of the CAMs, it also conferred the advantage of recognizing, documenting, and intervening on delirium in real time, given that bedside nurses are often the first to encounter delirium. Furthermore, nurses were instructed to notify a physician if a patient had a new positive CAM, as reflected in Table 1.

Our study demonstrated an increase in the overall compliance with the CAM screening during the postintervention period, which is significant given the under-recognition of delirium by health care professionals.²⁰ We attribute this increase to greater realized importance and a higher level of confidence from nursing staff in recognizing and addressing delirium, as supported by survey data. While the increased screening of patients should be considered a positive outcome, it also poses the possibility that the observed decrease in delirium incidence in the postintervention group was in fact due to more CAMs performed on patients without delirium. Likewise, nurses may have become more adept at recognizing true delirium, as opposed to delirium mimics, in the latter period of the study.

Perhaps the greatest limitation of our study is the variability in performing and recording CAMs, as some patients had multiple CAMs recorded while others did not have any CAMs recorded. This may have been affected in part by the increase in COVID-19 cases in our hospital towards the latter half of the study, which resulted in changes in nursing assignments as well as patient comorbidities in ways that cannot be easily quantified. Given the limited size of our patient cohorts, certain outcomes, such as the use of sitters, physical restraints, and in-hospital mortality, were unable to be assessed for changes statistically. Causative relationships between our interventions and associated outcome measures are necessarily limited in a binary comparison between control and postintervention groups.

Within these limitations, our study demonstrates promising results in core dimensions of patient care. We anticipate further quality improvement initiatives involving greater numbers of nursing staff and patients to better quantify the impact of nonpharmacologic nursing-centered interventions for preventing hospital delirium.

Conclusion

A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs. Education and tools to equip nurses to perform standardized delirium screening and interventions should be prioritized.

Acknowledgment: The authors thanks Olena Svetlov, NP, Oscar Abarca, Jose Chavez, and Jenita Gutierrez.

Corresponding author: Jason Ching, MD, Department of Neurology, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048; [email protected].

Financial disclosures: None.

Funding: This research was supported by NIH National Center for Advancing Translational Science (NCATS) UCLA CTSI Grant Number UL1TR001881.

The negative emotions stemming from teens’ involvement with social media have been grabbing the headlines. But adults may also be experiencing depression because of their use of social media, suggests a new study.

Use of social media has been linked to increased anxiety and depression, as well as reduced well-being in adolescents and young adults, but similar associations in older adults have not been well studied, and longitudinal data are lacking, Ron H. Perlis, MD, of Massachusetts General Hospital, Boston, and colleagues wrote in their paper, which was published in JAMA Network Open.

To examine the association between social media use and depressive symptoms in older adults, the researchers reviewed data from 13 waves of an internet survey conducted each month between May 2020 and May 2021. The survey respondents included individuals aged 18 years and older, with a mean age of 56 years.

In the study the researchers analyzed responses from 5,395 individuals aged 18 years and older, with a mean age of 56 years. The study participants had minimal or no depressive symptoms at baseline, according to scores on the nine-item Patient Health Questionnaire (PHQ-9).

Overall, 8.9% of the respondents reported a worsening of 5 points or more on the PHQ-9 score on a follow-up survey, which was the primary outcome. Participants who reported using social media platforms Snapchat, Facebook, or TikTok were significantly more likely to report increased depressive symptoms, compared with those who did not report use of social media. The fully adjusted odds ratio was largest for Snapchat (aOR, 1.53), followed by Facebook (aOR, 1.42), and TikTok (aOR, 1.39).

Incorporating recent television and internet news terms, such as COVID-19, changed the association for Snapchat, for which the aOR decreased from 1.53 to 1.12 when news source terms were included in the survey. TikTok and Facebook associations remained similar.

When the results were further stratified by age, use of TikTok and Snapchat was associated with depressive symptoms in those aged 35 years and older, but not in those younger than 35 years. However, the opposite pattern emerged for Facebook; use was associated with depressive symptoms for individuals younger than 35 years, but not in those aged 35 years and older (aOR, 2.60 vs. aOR, 1.12).

The association between increased self-reported depressive symptoms and use of certain social media platforms was not impacted by baseline social support or face-to-face interactions, the researchers noted.
 

Family physician was surprised results weren’t more significant

In the current study, “I was honestly surprised the results weren’t more significant,” Mary Ann Dakkak, MD, of Boston University said in an interview. “That said, social media uses during the COVID pandemic may have been a necessary social outlet and form of connection for many people who were otherwise isolated.”

To still see a significant increase in depression when social media could have been a positive force may suggest a heavier impact during “normal” times, she added.

“It is not surprising that what we see in youth is shown among adults,” noted Dr. Dakkak, who was not involved with this study. “I always tell my patients that what is good for their children is good for the adults too, and vice versa.

“We expect to see outcomes of this on youth and adults who have been more isolated, who have used more screen time for learning, work, connection and boredom, in the near future,” she said. “The complex nature of why social media may have been used more heavily for connection during a time when in-person meetings were not possible may be a heavy confounder as the typical profile of heavy social media users may have differed during the COVID shutdowns.”
 

Psychiatrist: Balance benefits of social media with mental health risks

The current study was likely conducted before the recent news on “hidden” Facebook data and the implications that Facebook knew it was contributing to worsened mental health in teens, particularly around self-esteem, Jessica “Jessi” Gold, MD, a psychiatrist at Washington University, St. Louis, said in an interview.

“If you look more specifically at other studies, however, the data around social media and mental health is constantly varied, with some showing benefits and some showing negatives, and none conclusively suggesting either way,” said Dr. Gold, who also was not involved with the new research. “More data are needed, especially longitudinally and on a broader age group, to understand social media’s impact on mental health over time.

“It is also even more important in the wake of COVID-19, as so many people have turned to social media as a primary source of social support and connection, and are using it even more than before,” she emphasized.

In the current study, “I think the most interesting information is that, for TikTok and Snapchat, the effects seemed to be more pronounced in those older than 35 years who used social media,” said Dr. Gold.

What this study leaves unanswered is “whether people who might develop depression are simply more prone to use social media in the first place, such as to seek out social support,” Dr. Gold said. “Also, we don’t know anything about how long they are using social media or what they are using it for, which to me is important for understanding more about the nuance of the relationship with mental health and social media.”
 

Experts advise clinicians to discuss social media with patients

This new research suggests that clinicians should be talking to their patients about how social media impacts their emotional reactions, as well as their sleep, Dr. Gold said.

“Patients should be asking themselves how they are feeling when they are on social media and not using it before sleep. They should also be considering time limits and how to effectively use social media while taking care of their mental health,” she said. This conversation between clinician and patient should be had with any patient of any age, who uses social media, not only with teenagers.

“This is also a conversation about moderation, and knowing that individuals may feel they benefit from social media, that they should balance these benefits with potential mental health risks,” she said.

“Studies such as this one shed light onto why social media consumption should be at least a point of discussion with our patients,” said Dr. Dakkak.

She advised clinicians to ask and listen to patients and their families when it comes to screen time habits. “Whenever I see a patient with mood symptoms, I ask about their habits – eating, sleeping, socializing, screen time – including phone time. I ask about the family dynamics around screen time.

“I’ve added screen time to my adolescent assessment. Discussing safe use of cell phones and social media can have a significant impact on adolescent behavior and wellbeing, and parents are very thankful for the help,” she said. “This study encourages us to add screen time to the assessments we do at all adult ages, especially if mood symptoms exist,” Dr. Dakkak emphasized.
 

Suggestions for future research

Dr. Dakkak added that more areas for research include the differences in the impact of social media use on content creators versus content consumers. Also, “I would like to see research using the real data of use, the times of use, interruptions in sleep and use, possible confounding variables to include exercise, presence of intimate relationship and school/job performance.”

Given the many confounding variables, more controlled studies are needed to examine mental health outcomes in use, how long people use social media, and the impact of interventions such as time limits, Dr. Gold said.

“We can’t ignore the benefits of social media, such as helping those with social anxiety, finding peer support, and normalizing mental health, and those factors need to be studied and measured more effectively as well, she said.
 

Take-home message

It is important to recognize that the current study represents a correlation, not causality, said Dr. Gold. In addressing the issues of how social media impact mental health, “as always, the hardest thing is that many people get their news from social media, and often get social support from social media, so there has to be a balance of not removing social media completely, but of helping people see how it affects their mental health and how to find balance.”

The study findings were limited by several factors, including the inability to control for all potential confounders, the inability to assess the nature of social media use, and the lack of dose-response data, the researchers noted. Although the surveys in the current study were not specific to COVID-19, the effects of social media on depression may be specific to the content, and the findings may not generalize beyond the COVID-19 pandemic period.

Approximately two-thirds (66%) of the study participants identified as female, and 76% as White; 11% as Black; 6% as Asian; 5% as Hispanic; and 2% as American Indian or Alaska Native, Pacific Islander or Native Hawaiian, or other.

The National Institute of Mental Health provided a grant for the study to Dr. Pelis, who disclosed consulting fees from various companies and equity in Psy Therapeutics. The study’s lead author also serves as associate editor for JAMA Network Open, but was not involved in the decision process for publication of this study. Dr. Gold disclosed conducting a conference for Johnson & Johnson about social media and health care workers, and was on the advisory council.

The negative emotions stemming from teens’ involvement with social media have been grabbing the headlines. But adults may also be experiencing depression because of their use of social media, suggests a new study.

Use of social media has been linked to increased anxiety and depression, as well as reduced well-being in adolescents and young adults, but similar associations in older adults have not been well studied, and longitudinal data are lacking, Ron H. Perlis, MD, of Massachusetts General Hospital, Boston, and colleagues wrote in their paper, which was published in JAMA Network Open.

To examine the association between social media use and depressive symptoms in older adults, the researchers reviewed data from 13 waves of an internet survey conducted each month between May 2020 and May 2021. The survey respondents included individuals aged 18 years and older, with a mean age of 56 years.

In the study the researchers analyzed responses from 5,395 individuals aged 18 years and older, with a mean age of 56 years. The study participants had minimal or no depressive symptoms at baseline, according to scores on the nine-item Patient Health Questionnaire (PHQ-9).

Overall, 8.9% of the respondents reported a worsening of 5 points or more on the PHQ-9 score on a follow-up survey, which was the primary outcome. Participants who reported using social media platforms Snapchat, Facebook, or TikTok were significantly more likely to report increased depressive symptoms, compared with those who did not report use of social media. The fully adjusted odds ratio was largest for Snapchat (aOR, 1.53), followed by Facebook (aOR, 1.42), and TikTok (aOR, 1.39).

Incorporating recent television and internet news terms, such as COVID-19, changed the association for Snapchat, for which the aOR decreased from 1.53 to 1.12 when news source terms were included in the survey. TikTok and Facebook associations remained similar.

When the results were further stratified by age, use of TikTok and Snapchat was associated with depressive symptoms in those aged 35 years and older, but not in those younger than 35 years. However, the opposite pattern emerged for Facebook; use was associated with depressive symptoms for individuals younger than 35 years, but not in those aged 35 years and older (aOR, 2.60 vs. aOR, 1.12).

The association between increased self-reported depressive symptoms and use of certain social media platforms was not impacted by baseline social support or face-to-face interactions, the researchers noted.
 

Family physician was surprised results weren’t more significant

In the current study, “I was honestly surprised the results weren’t more significant,” Mary Ann Dakkak, MD, of Boston University said in an interview. “That said, social media uses during the COVID pandemic may have been a necessary social outlet and form of connection for many people who were otherwise isolated.”

To still see a significant increase in depression when social media could have been a positive force may suggest a heavier impact during “normal” times, she added.

“It is not surprising that what we see in youth is shown among adults,” noted Dr. Dakkak, who was not involved with this study. “I always tell my patients that what is good for their children is good for the adults too, and vice versa.

“We expect to see outcomes of this on youth and adults who have been more isolated, who have used more screen time for learning, work, connection and boredom, in the near future,” she said. “The complex nature of why social media may have been used more heavily for connection during a time when in-person meetings were not possible may be a heavy confounder as the typical profile of heavy social media users may have differed during the COVID shutdowns.”
 

Psychiatrist: Balance benefits of social media with mental health risks

The current study was likely conducted before the recent news on “hidden” Facebook data and the implications that Facebook knew it was contributing to worsened mental health in teens, particularly around self-esteem, Jessica “Jessi” Gold, MD, a psychiatrist at Washington University, St. Louis, said in an interview.

“If you look more specifically at other studies, however, the data around social media and mental health is constantly varied, with some showing benefits and some showing negatives, and none conclusively suggesting either way,” said Dr. Gold, who also was not involved with the new research. “More data are needed, especially longitudinally and on a broader age group, to understand social media’s impact on mental health over time.

“It is also even more important in the wake of COVID-19, as so many people have turned to social media as a primary source of social support and connection, and are using it even more than before,” she emphasized.

In the current study, “I think the most interesting information is that, for TikTok and Snapchat, the effects seemed to be more pronounced in those older than 35 years who used social media,” said Dr. Gold.

What this study leaves unanswered is “whether people who might develop depression are simply more prone to use social media in the first place, such as to seek out social support,” Dr. Gold said. “Also, we don’t know anything about how long they are using social media or what they are using it for, which to me is important for understanding more about the nuance of the relationship with mental health and social media.”
 

Experts advise clinicians to discuss social media with patients

This new research suggests that clinicians should be talking to their patients about how social media impacts their emotional reactions, as well as their sleep, Dr. Gold said.

“Patients should be asking themselves how they are feeling when they are on social media and not using it before sleep. They should also be considering time limits and how to effectively use social media while taking care of their mental health,” she said. This conversation between clinician and patient should be had with any patient of any age, who uses social media, not only with teenagers.

“This is also a conversation about moderation, and knowing that individuals may feel they benefit from social media, that they should balance these benefits with potential mental health risks,” she said.

“Studies such as this one shed light onto why social media consumption should be at least a point of discussion with our patients,” said Dr. Dakkak.

She advised clinicians to ask and listen to patients and their families when it comes to screen time habits. “Whenever I see a patient with mood symptoms, I ask about their habits – eating, sleeping, socializing, screen time – including phone time. I ask about the family dynamics around screen time.

“I’ve added screen time to my adolescent assessment. Discussing safe use of cell phones and social media can have a significant impact on adolescent behavior and wellbeing, and parents are very thankful for the help,” she said. “This study encourages us to add screen time to the assessments we do at all adult ages, especially if mood symptoms exist,” Dr. Dakkak emphasized.
 

Suggestions for future research

Dr. Dakkak added that more areas for research include the differences in the impact of social media use on content creators versus content consumers. Also, “I would like to see research using the real data of use, the times of use, interruptions in sleep and use, possible confounding variables to include exercise, presence of intimate relationship and school/job performance.”

Given the many confounding variables, more controlled studies are needed to examine mental health outcomes in use, how long people use social media, and the impact of interventions such as time limits, Dr. Gold said.

“We can’t ignore the benefits of social media, such as helping those with social anxiety, finding peer support, and normalizing mental health, and those factors need to be studied and measured more effectively as well, she said.
 

Take-home message

It is important to recognize that the current study represents a correlation, not causality, said Dr. Gold. In addressing the issues of how social media impact mental health, “as always, the hardest thing is that many people get their news from social media, and often get social support from social media, so there has to be a balance of not removing social media completely, but of helping people see how it affects their mental health and how to find balance.”

The study findings were limited by several factors, including the inability to control for all potential confounders, the inability to assess the nature of social media use, and the lack of dose-response data, the researchers noted. Although the surveys in the current study were not specific to COVID-19, the effects of social media on depression may be specific to the content, and the findings may not generalize beyond the COVID-19 pandemic period.

Approximately two-thirds (66%) of the study participants identified as female, and 76% as White; 11% as Black; 6% as Asian; 5% as Hispanic; and 2% as American Indian or Alaska Native, Pacific Islander or Native Hawaiian, or other.

The National Institute of Mental Health provided a grant for the study to Dr. Pelis, who disclosed consulting fees from various companies and equity in Psy Therapeutics. The study’s lead author also serves as associate editor for JAMA Network Open, but was not involved in the decision process for publication of this study. Dr. Gold disclosed conducting a conference for Johnson & Johnson about social media and health care workers, and was on the advisory council.

The negative emotions stemming from teens’ involvement with social media have been grabbing the headlines. But adults may also be experiencing depression because of their use of social media, suggests a new study.

Use of social media has been linked to increased anxiety and depression, as well as reduced well-being in adolescents and young adults, but similar associations in older adults have not been well studied, and longitudinal data are lacking, Ron H. Perlis, MD, of Massachusetts General Hospital, Boston, and colleagues wrote in their paper, which was published in JAMA Network Open.

To examine the association between social media use and depressive symptoms in older adults, the researchers reviewed data from 13 waves of an internet survey conducted each month between May 2020 and May 2021. The survey respondents included individuals aged 18 years and older, with a mean age of 56 years.

In the study the researchers analyzed responses from 5,395 individuals aged 18 years and older, with a mean age of 56 years. The study participants had minimal or no depressive symptoms at baseline, according to scores on the nine-item Patient Health Questionnaire (PHQ-9).

Overall, 8.9% of the respondents reported a worsening of 5 points or more on the PHQ-9 score on a follow-up survey, which was the primary outcome. Participants who reported using social media platforms Snapchat, Facebook, or TikTok were significantly more likely to report increased depressive symptoms, compared with those who did not report use of social media. The fully adjusted odds ratio was largest for Snapchat (aOR, 1.53), followed by Facebook (aOR, 1.42), and TikTok (aOR, 1.39).

Incorporating recent television and internet news terms, such as COVID-19, changed the association for Snapchat, for which the aOR decreased from 1.53 to 1.12 when news source terms were included in the survey. TikTok and Facebook associations remained similar.

When the results were further stratified by age, use of TikTok and Snapchat was associated with depressive symptoms in those aged 35 years and older, but not in those younger than 35 years. However, the opposite pattern emerged for Facebook; use was associated with depressive symptoms for individuals younger than 35 years, but not in those aged 35 years and older (aOR, 2.60 vs. aOR, 1.12).

The association between increased self-reported depressive symptoms and use of certain social media platforms was not impacted by baseline social support or face-to-face interactions, the researchers noted.
 

Family physician was surprised results weren’t more significant

In the current study, “I was honestly surprised the results weren’t more significant,” Mary Ann Dakkak, MD, of Boston University said in an interview. “That said, social media uses during the COVID pandemic may have been a necessary social outlet and form of connection for many people who were otherwise isolated.”

To still see a significant increase in depression when social media could have been a positive force may suggest a heavier impact during “normal” times, she added.

“It is not surprising that what we see in youth is shown among adults,” noted Dr. Dakkak, who was not involved with this study. “I always tell my patients that what is good for their children is good for the adults too, and vice versa.

“We expect to see outcomes of this on youth and adults who have been more isolated, who have used more screen time for learning, work, connection and boredom, in the near future,” she said. “The complex nature of why social media may have been used more heavily for connection during a time when in-person meetings were not possible may be a heavy confounder as the typical profile of heavy social media users may have differed during the COVID shutdowns.”
 

Psychiatrist: Balance benefits of social media with mental health risks

The current study was likely conducted before the recent news on “hidden” Facebook data and the implications that Facebook knew it was contributing to worsened mental health in teens, particularly around self-esteem, Jessica “Jessi” Gold, MD, a psychiatrist at Washington University, St. Louis, said in an interview.

“If you look more specifically at other studies, however, the data around social media and mental health is constantly varied, with some showing benefits and some showing negatives, and none conclusively suggesting either way,” said Dr. Gold, who also was not involved with the new research. “More data are needed, especially longitudinally and on a broader age group, to understand social media’s impact on mental health over time.

“It is also even more important in the wake of COVID-19, as so many people have turned to social media as a primary source of social support and connection, and are using it even more than before,” she emphasized.

In the current study, “I think the most interesting information is that, for TikTok and Snapchat, the effects seemed to be more pronounced in those older than 35 years who used social media,” said Dr. Gold.

What this study leaves unanswered is “whether people who might develop depression are simply more prone to use social media in the first place, such as to seek out social support,” Dr. Gold said. “Also, we don’t know anything about how long they are using social media or what they are using it for, which to me is important for understanding more about the nuance of the relationship with mental health and social media.”
 

Experts advise clinicians to discuss social media with patients

This new research suggests that clinicians should be talking to their patients about how social media impacts their emotional reactions, as well as their sleep, Dr. Gold said.

“Patients should be asking themselves how they are feeling when they are on social media and not using it before sleep. They should also be considering time limits and how to effectively use social media while taking care of their mental health,” she said. This conversation between clinician and patient should be had with any patient of any age, who uses social media, not only with teenagers.

“This is also a conversation about moderation, and knowing that individuals may feel they benefit from social media, that they should balance these benefits with potential mental health risks,” she said.

“Studies such as this one shed light onto why social media consumption should be at least a point of discussion with our patients,” said Dr. Dakkak.

She advised clinicians to ask and listen to patients and their families when it comes to screen time habits. “Whenever I see a patient with mood symptoms, I ask about their habits – eating, sleeping, socializing, screen time – including phone time. I ask about the family dynamics around screen time.

“I’ve added screen time to my adolescent assessment. Discussing safe use of cell phones and social media can have a significant impact on adolescent behavior and wellbeing, and parents are very thankful for the help,” she said. “This study encourages us to add screen time to the assessments we do at all adult ages, especially if mood symptoms exist,” Dr. Dakkak emphasized.
 

Suggestions for future research

Dr. Dakkak added that more areas for research include the differences in the impact of social media use on content creators versus content consumers. Also, “I would like to see research using the real data of use, the times of use, interruptions in sleep and use, possible confounding variables to include exercise, presence of intimate relationship and school/job performance.”

Given the many confounding variables, more controlled studies are needed to examine mental health outcomes in use, how long people use social media, and the impact of interventions such as time limits, Dr. Gold said.

“We can’t ignore the benefits of social media, such as helping those with social anxiety, finding peer support, and normalizing mental health, and those factors need to be studied and measured more effectively as well, she said.
 

Take-home message

It is important to recognize that the current study represents a correlation, not causality, said Dr. Gold. In addressing the issues of how social media impact mental health, “as always, the hardest thing is that many people get their news from social media, and often get social support from social media, so there has to be a balance of not removing social media completely, but of helping people see how it affects their mental health and how to find balance.”

The study findings were limited by several factors, including the inability to control for all potential confounders, the inability to assess the nature of social media use, and the lack of dose-response data, the researchers noted. Although the surveys in the current study were not specific to COVID-19, the effects of social media on depression may be specific to the content, and the findings may not generalize beyond the COVID-19 pandemic period.

Approximately two-thirds (66%) of the study participants identified as female, and 76% as White; 11% as Black; 6% as Asian; 5% as Hispanic; and 2% as American Indian or Alaska Native, Pacific Islander or Native Hawaiian, or other.

The National Institute of Mental Health provided a grant for the study to Dr. Pelis, who disclosed consulting fees from various companies and equity in Psy Therapeutics. The study’s lead author also serves as associate editor for JAMA Network Open, but was not involved in the decision process for publication of this study. Dr. Gold disclosed conducting a conference for Johnson & Johnson about social media and health care workers, and was on the advisory council.

Background: The Oakland score was initially designed to be used in patients presenting with LGIB in the urgent, emergent, or primary care setting to help predict risk of readmission and determine if outpatient management is feasible. National guidelines in the United Kingdom have recommended use of the Oakland score despite limited external validation for the triage of patients with acute LGIB. This study aimed to externally validate the Oakland score in a large population in the United States and compare the performance at two thresholds.

Dr. Steker is a hospitalist at Northwestern Memorial Hospital and instructor of medicine, Feinberg School of Medicine, both in Chicago.

Background: The Oakland score was initially designed to be used in patients presenting with LGIB in the urgent, emergent, or primary care setting to help predict risk of readmission and determine if outpatient management is feasible. National guidelines in the United Kingdom have recommended use of the Oakland score despite limited external validation for the triage of patients with acute LGIB. This study aimed to externally validate the Oakland score in a large population in the United States and compare the performance at two thresholds.

Dr. Steker is a hospitalist at Northwestern Memorial Hospital and instructor of medicine, Feinberg School of Medicine, both in Chicago.

Background: The Oakland score was initially designed to be used in patients presenting with LGIB in the urgent, emergent, or primary care setting to help predict risk of readmission and determine if outpatient management is feasible. National guidelines in the United Kingdom have recommended use of the Oakland score despite limited external validation for the triage of patients with acute LGIB. This study aimed to externally validate the Oakland score in a large population in the United States and compare the performance at two thresholds.

Dr. Steker is a hospitalist at Northwestern Memorial Hospital and instructor of medicine, Feinberg School of Medicine, both in Chicago.