Interventions to Improve Long-Term Adherence to Physical Rehabilitation: A Systematic Review.

OBJECTIVE: To evaluate the impact of physical rehabilitation interventions, supplemented with one or more adherence-enhancing components, on outcomes among adults with hip or knee osteoarthritis or chronic lower back pain. DESIGN: Primary literature search from inception of each database to July 27, 2021, guided by relevant search terms and keywords to search titles and abstracts. All articles meeting eligibility criteria were included for data abstraction. DATA SOURCES: MEDLINE, CINAHL Complete, and Embase. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomized and nonrandomized trials evaluating adherence-focused intervention components conducted in addition to an index usual care or usual care-like physical rehabilitation program among adults with hip or knee osteoarthritis or chronic low back pain. Eligible studies included a comparator group of the same index physical rehabilitation intervention without the adjunctive adherence components. Included studies measured outcomes at least 3 months after the rehabilitation course. RESULTS: Of the 10 studies meeting inclusion criteria, 6 interventions were delivered concurrent to an index rehabilitation program and 4 were delivered sequentially. Of the 3 studies that reported a positive effect on long-term adherence, only 1 was a low risk of bias study. There is very limited evidence of a beneficial treatment effect of adjunct adherence interventions on long-term physical function, self-efficacy, or adverse events. CONCLUSION: We found inadequate evidence evaluating adherence-enhancing interventions for the specific promotion of long-term adherence to home rehabilitation programs. Future studies should consider testing interventions specifically built to target behavioral maintenance of home rehabilitation programs.

Group physical therapy for knee osteoarthritis: protocol for a hybrid type III effectiveness-implementation trial.

BACKGROUND: Knee osteoarthritis (OA) is a leading cause of chronic pain and disability and one of the most common conditions treated in outpatient physical therapy (PT). Because of the high and growing prevalence of knee OA, there is a need for efficient approaches for delivering exercise-based PT to patients with knee OA. A prior randomized controlled trial (RCT) showed that a 6-session Group Physical Therapy Program for Knee OA (Group PT) yields equivalent or greater improvements in pain and functional outcomes compared with traditional individual PT, while requiring fewer clinician hours per patient to deliver. This manuscript describes the protocol for a hybrid type III effectiveness-implementation trial comparing two implementation packages to support delivery of Group PT. METHODS: In this 12-month embedded trial, a minimum of 16 Veterans Affairs Medical Centers (VAMCs) will be randomized to receive one of two implementation support packages for their Group PT programs: a standard, low-touch support based on Replicating Effective Programs (REP) versus enhanced REP (enREP), which adds tailored, high-touch support if sites do not meet Group PT adoption and sustainment benchmarks at 6 and 9 months following launch. Implementation outcomes, including penetration (primary), adoption, and fidelity, will be assessed at 6 and 12 months (primary assessment time point). Additional analyses will include patient-level effectiveness outcomes (pain, function, satisfaction) and staffing and labor costs. A robust qualitative evaluation of site implementation context and experience, as well as site-led adaptations to the Group PT program, will be conducted. DISCUSSION: To our knowledge, this study is the first to evaluate the impact of tailored, high-touch implementation support on implementation outcomes when compared to standardized, low-touch support for delivering a PT-based intervention. The Group PT program has strong potential to become a standard offering for PT, improving function and pain-related outcomes for patients with knee OA. Results will provide information regarding the effectiveness and value of this implementation approach and a deeper understanding of how healthcare systems can support wide-scale adoption of Group PT. TRIAL REGISTRATION: This study was registered on March 7, 2022 at ClinicalTrials.gov (identifier NCT05282927 ).

Effects of Implementation of a Supervised Walking Program in Veterans Affairs Hospitals : A Stepped-Wedge, Cluster Randomized Trial.

BACKGROUND: In trials, hospital walking programs have been shown to improve functional ability after discharge, but little evidence exists about their effectiveness under routine practice conditions. OBJECTIVE: To evaluate the effect of implementation of a supervised walking program known as STRIDE (AssiSTed EaRly MobIlity for HospitalizeD VEterans) on discharge to a skilled-nursing facility (SNF), length of stay (LOS), and inpatient falls. DESIGN: Stepped-wedge, cluster randomized trial. (ClinicalTrials.gov: NCT03300336). SETTING: 8 Veterans Affairs hospitals from 20 August 2017 to 19 August 2019. PATIENTS: Analyses included hospitalizations involving patients aged 60 years or older who were community dwelling and admitted for 2 or more days to a participating medicine ward. INTERVENTION: Hospitals were randomly assigned in 2 stratified blocks to a launch date for STRIDE. All hospitals received implementation support according to the Replicating Effective Programs framework. MEASUREMENTS: The prespecified primary outcomes were discharge to a SNF and hospital LOS, and having 1 or more inpatient falls was exploratory. Generalized linear mixed models were fit to account for clustering of patients within hospitals and included patient-level covariates. RESULTS: Patients in pre-STRIDE time periods (n = 6722) were similar to post-STRIDE time periods (n = 6141). The proportion of patients with any documented walk during a potentially eligible hospitalization ranged from 0.6% to 22.7% per hospital. The estimated rates of discharge to a SNF were 13% pre-STRIDE and 8% post-STRIDE. In adjusted models, odds of discharge to a SNF were lower among eligible patients hospitalized in post-STRIDE time periods (odds ratio [OR], 0.6 [95% CI, 0.5 to 0.8]) compared with pre-STRIDE. Findings were robust to sensitivity analyses. There were no differences in LOS (rate ratio, 1.0 [CI, 0.9 to 1.1]) or having an inpatient fall (OR, 0.8 [CI, 0.5 to 1.1]). LIMITATION: Direct program reach was low. CONCLUSION: Although the reach was limited and variable, hospitalizations occurring during the STRIDE hospital walking program implementation period had lower odds of discharge to a SNF, with no change in hospital LOS or inpatient falls. PRIMARY FUNDING SOURCE: U.S. Department of Veterans Affairs Quality Enhancement Research Initiative (Optimizing Function and Independence QUERI).

Defining and Measuring Preclinical Mobility Limitation: An Expert Consensus Exercise Informed by a Scoping Review.

BACKGROUND: Early change in function in older adults has been termed preclinical disability (PCD). PCD has been understudied compared to other stages of disability because it is unlikely to receive comparative priority in clinical settings. It has major implications for prevention and population health as it may be the optimal time to intervene to prevent further decline. A standardized approach to research in PCD, including a common definition and measurement approaches, is needed to advance this work. METHODS: The process to establish how PCD should be defined and measured was undertaken in 2 stages: (1) a scoping review of the literature, which was used to inform (2) a web-enabled consensus meeting with content experts. RESULTS: The scoping review and the consensus meeting support the use of the term preclinical mobility limitation (PCML) and that it should be measured using both patient-reported and performance-based measures. It was agreed that the definition of PCML should include modification of frequency and/or method of task completion, without overt disability, and that requisite mobility tasks include walking (distance and speed), stairs, and transfers. CONCLUSIONS: Currently, there are few standardized assessments that can identify PCML. PCML is the term that most clearly describes the stage where people experience a change in routine mobility tasks, without a perception of disability. Further evaluation into the reliability, validity, and responsiveness of outcome measures is needed to advance research on PCML.

Machine learning functional impairment classification with electronic health record data.

BACKGROUND: Poor functional status is a key marker of morbidity, yet is not routinely captured in clinical encounters. We developed and evaluated the accuracy of a machine learning algorithm that leveraged electronic health record (EHR) data to provide a scalable process for identification of functional impairment. METHODS: We identified a cohort of patients with an electronically captured screening measure of functional status (Older Americans Resources and Services ADL/IADL) between 2018 and 2020 (N = 6484). Patients were classified using unsupervised learning K means and t-distributed Stochastic Neighbor Embedding into normal function (NF), mild to moderate functional impairment (MFI), and severe functional impairment (SFI) states. Using 11 EHR clinical variable domains (832 variable input features), we trained an Extreme Gradient Boosting supervised machine learning algorithm to distinguish functional status states, and measured prediction accuracies. Data were randomly split into training (80%) and test (20%) sets. The SHapley Additive Explanations (SHAP) feature importance analysis was used to list the EHR features in rank order of their contribution to the outcome. RESULTS: Median age was 75.3 years, 62% female, 60% White. Patients were classified as 53% NF (n = 3453), 30% MFI (n = 1947), and 17% SFI (n = 1084). Summary of model performance for identifying functional status state (NF, MFI, SFI) was AUROC (area under the receiving operating characteristic curve) 0.92, 0.89, and 0.87, respectively. Age, falls, hospitalization, home health use, labs (e.g., albumin), comorbidities (e.g., dementia, heart failure, chronic kidney disease, chronic pain), and social determinants of health (e.g., alcohol use) were highly ranked features in predicting functional status states. CONCLUSION: A machine learning algorithm run on EHR clinical data has potential utility for differentiating functional status in the clinical setting. Through further validation and refinement, such algorithms can complement traditional screening methods and result in a population-based strategy for identifying patients with poor functional status who need additional health resources.

Optimization of Transspinal Stimulation Applications for Motor Recovery after Spinal Cord Injury: Scoping Review.

Spinal cord injury (SCI) is a debilitating condition that can significantly affect an individual's life, causing paralysis, autonomic dysreflexia, and chronic pain. Transspinal stimulation (TSS) is a non-invasive form of neuromodulation that activates the underlying neural circuitries of the spinal cord. Application of TSS can be performed through multiple stimulation protocols, which may vary in the electrodes' size or position as well as stimulation parameters, and which may influence the response of motor functions to the stimulation. Due to the novelty of TSS, it is beneficial to summarize the available evidence to identify the range of parameters that may provide the best outcomes for motor response. The PubMed and Google Scholar databases were searched for studies examining the effects of TSS on limb motor function. A literature search yielded 34 studies for analysis, in which electrode placement and stimulation parameters varied considerably. The stimulation protocols from each study and their impact on limb motor function were summarized. Electrode placement was variable based on the targeted limb. Studies for the upper limbs targeted the cervical enlargement with anatomical placement of the cathode over the cervical vertebral region. In lower-limb studies, the cathode(s) were placed over the thoracic and lumbar vertebral regions, to target the lumbar enlargement. The effects of carrier frequency were inconclusive across the studies. Multisite cathodal placements yielded favorable motor response results compared to single-site placement. This review briefly summarized the current mechanistic evidence of the effect of TSS on motor response after SCI. Our findings indicate that optimization of stimulation parameters will require future randomized controlled studies to independently assess the effects of different stimulation parameters under controlled circumstances.

Which factors affect the implementation of telerehabilitation? Study protocol for a mixed-methods systematic review with a framework synthesis.

BACKGROUND: Telehealth approaches are promising for the delivery of rehabilitation services but may be under-used or under-implemented. OBJECTIVE: To report a review protocol to identify how much telerehabilitation (telehealth approaches to the delivery of rehabilitation services) have been used and implemented, and which factors have affected such implementation. METHODS: A mixed-methods systematic review with a framework synthesis. Six databases for the scientific literature will be searched, complemented by snowballing searches and additional references coming from key informants (i.e., rehabilitation researchers from a networking group in health services research). We will include English-language empirical research examining the routine use or implementation of telehealth technologies in physical rehabilitation services or by physical rehabilitation professionals from a range of study designs, excepting case studies, case reports, and qualitative studies with n < 5. Two independent reviewers will perform the screenings, quality appraisals (using the Joanna Briggs Institutes' appraisal checklists), and the data extractions. The Consolidated Framework for Implementation Research will be used to synthesize the data on the enablers and barriers of the implementation of telerehabilitation approaches. All the authors will be involved at this synthesis, and key informants will provide feedback. CONCLUSION: The results can inform further implementation endeavours.

Incorporating TechQuity in Virtual Care Within the Veterans Health Administration: Identifying Future Research and Operations Priorities.

BACKGROUND: The Covid-19 pandemic dramatically changed healthcare delivery, driving rapid expansion of synchronous (i.e., real-time) audio-only and video telehealth, otherwise known as virtual care. Yet evidence describes significant inequities in virtual care utilization, with certain populations more dependent on audio-only virtual care than video-based care. Research is needed to inform virtual care policies and processes to counteract current inequities in access and health outcomes. OBJECTIVE: Given the importance of incorporating equity into virtual care within the Veterans Health Administration (VHA), we convened a Think Tank to identify priorities for future research and virtual care operations focused on achieving equitable implementation of virtual care within the VHA. METHODS: We used participatory activities to engage clinicians, researchers, and operational partners from across the VHA to develop priorities for equitable implementation of virtual care. We refined priorities through group discussion and force-ranked prioritization and outlined next steps for selected priorities. KEY RESULTS: Think Tank participants included 43 individuals from the VHA who represented diverse geographical regions, offices, and backgrounds. Attendees self-identified their associations primarily as operations (n = 9), research (n = 28), or both (n = 6). We identified an initial list of 63 potential priorities for future research and virtual care operations. Following discussion, we narrowed the list to four priority areas: (1) measure inequities in virtual care, (2) address emerging inequities in virtual care, (3) deploy virtual care equitably to accommodate differently abled veterans, and (4) measure and address potential adverse consequences of expanded virtual care. We discuss related information, data, key partners, and outline potential next steps. CONCLUSIONS: This Think Tank of research and operational partners from across the VHA identified promising opportunities to incorporate equity into the design and implementation of virtual care. Although much work remains, the priorities identified represent important steps toward achieving this vital goal.

Cost and Quality of Life Outcomes of the STepped Exercise Program for Patients With Knee OsteoArthritis Trial.

OBJECTIVES: This study aimed to evaluate the cost-effectiveness of the randomized clinical trial STEP-KOA (STepped Exercise Program for patients with Knee OsteoArthritis). METHODS: The trial included 230 intervention and 115 control participants from 2 Veterans Affairs (VA) medical centers. A decision tree simulated outcomes for cohorts of patients receiving arthritis education (control) or STEP-KOA (intervention), which consisted of an internet-based exercise training program (step 1), phone counseling (step 2), and physical therapy (step 3) according to patient's response. Intervention costs were assessed from the VA perspective. Quality of life (QOL) was measured using 5-level EQ-5D US utility weights. Incremental cost-effectiveness ratios (ICERs) were calculated as the difference in costs divided by the difference in quality-adjusted life-years (QALYs) between arms at 9 months. A Monte Carlo probabilistic sensitivity analysis was used to generate a cost-effectiveness acceptability curve. RESULTS: The adjusted model found differential improvement in QOL utility weights of 0.042 (95% confidence interval 0.003-0.080; P=.03) for STEP-KOA versus control at 9 months. In the base case, STEP-KOA resulted in an incremental gain of 0.028 QALYs and an incremental cost of $279 per patient for an ICER of $10 076. One-way sensitivity analyses found the largest sources of variation in the ICER were the impact on QOL and the need for a VA-owned tablet. The probabilistic sensitivity analysis found a 98% probability of cost-effectiveness at $50 000 willingness-to-pay per QALY. CONCLUSIONS: STEP-KOA improves QOL and has a high probability of cost-effectiveness. Resources needed to implement the program will decline as ownership of mobile health devices increases.

Is Physical Rehabilitation Need Associated With the Rehabilitation Workforce Supply? An Ecological Study Across 35 High-Income Countries.

BACKGROUND: To determine whether population-adjusted rates of physical rehabilitation need (ie, disability-related epidemiological data) are associated with the workforce supply (ie, combined rates of practicing physical therapists (PTs) and occupational therapists (OTs) per 10 000 population) across high-income countries (HICs), adjusted for socio-demographic and economic covariates. METHODS: This is a cross-national ecological study. Hierarchical, multiple linear regressions analyzed current international data across 35 HICs using: current PTs and OTs supply data obtained from the international professional federations (outcome variable); needs data obtained from the Global Burden of Disease 2017 (GBD 2017); and finally relevant socio-demographic variables and supply-side covariates extracted from the World Bank, GBD 2017, the supply data sources, and the Global Health Expenditure Database. RESULTS: The PTs and OTs per capita varied greatly across the 35 HICs, differing by as much as 40-fold. Denmark had the greatest supply per capita. Physical rehabilitation need was not a significant, independent predictor of workforce supply regardless of the multiple regression model used (P >.10). In the final model, after Bonferroni correction, 3 covariates were significant, independent predictors of the supply variable: gross national income (GNI) per capita and the current health expenditure in % of gross domestic product (GDP) were positive factors for workforce supply, while population size was a negative factor (all P <.01). CONCLUSION: PT and OT workforce supply is highly variable across HICs. This variability is not accounted for by an indicator of population need but rather by financial indicators and population size.

Burden of informal care in stroke survivors and its determinants: a prospective observational study in an Asian setting.

BACKGROUND: Informal caregiving is an integral part of post-stroke recovery with strenuous caregiving demands often resulting in caregiving burden, threatening sustainability of caregiving and potentially impacting stroke survivor's outcomes. Our study aimed to examine and quantify objective and subjective informal care burden after stroke; and to explore the factors associated with informal care burden in Singapore. METHODS: Stroke patients and their informal caregivers were recruited from all five tertiary hospitals in Singapore from December 2010 to September 2013. Informal care comprised of assistance provided by informal caregivers with any of the activities of daily living. Informal care burden was measured by patients' likelihood of requiring informal care, hours of informal care required, and informal caregivers' Zarit's Burden Score. We examined informal care burden at 3-months and 12-months post-stroke. Generalized linear regressions were applied with control variables including patients' and informal caregivers' demographic characteristics, arrangement of informal care, and patients' health status including stroke severity (measured using National Institute of Health Stroke Scale), functional status (measured using Modified Rankin Scale), self-reported depression, and common comorbidities. RESULTS: Three hundred and five patients and 263 patients were examined at 3-months and 12-months. Around 35% were female and 60% were Chinese. Sixty three percent and 49% of the patients required informal care at 3-months and 12-months point, respectively. Among those who required informal care, average hours required per week were 64.3 h at 3-months and 76.6 h at 12-months point. Patients with higher functional dependency were more likely to require informal care at both time points, and required more hours of informal care at 3-months point. Female informal caregivers and those caring for patients with higher functional dependency reported higher Zarit's Burden. While informal caregivers who worked full-time reported higher burden, those caring for married stroke patients reported lower burden at 3-months point. Informal caregivers who co-cared with foreign domestic workers, i.e.: stay-in migrant female waged domestic workers, reported lower burden. CONCLUSIONS: Informal care burden remains high up to 12-months post-stroke. Factors such as functional dependency, stroke severity, informal caregiver gender and co-caring with foreign domestic workers were associated with informal care burden.

Role of caregiver factors in outpatient medical follow-up post-stroke: observational study in Singapore.

BACKGROUND: Outpatient medical follow-up post-stroke is not only crucial for secondary prevention but is also associated with a reduced risk of rehospitalization. However, being voluntary and non-urgent, it is potentially determined by both healthcare needs and the socio-demographic context of stroke survivor-caregiver dyads. Therefore, we aimed to examine the role of caregiver factors in outpatient medical follow-up (primary care (PC) and specialist outpatient care (SOC)) post-stroke. METHOD: Stroke survivors and caregivers from the Singapore Stroke Study, a prospective, yearlong, observational study, contributed to the study sample. Participants were interviewed 3-monthly for data collection. Counts of PC and SOC visits were extracted from the National Claims Database. Poisson modelling was used to explore the association of caregiver (and patient) factors with PC/SOC visits over 0-3 months (early) and 4-12 months (late) post-stroke. RESULTS: For the current analysis, 256 stroke survivors and caregivers were included. While caregiver-reported memory problems of a stroke survivor (IRR: 0.954; 95% CI: 0.919, 0.990) and caregiver burden (IRR: 0.976; 95% CI: 0.959, 0.993) were significantly associated with lower early post-stroke PC visits, co-residing caregiver (IRR: 1.576; 95% CI: 1.040, 2.389) and negative care management strategies (IRR: 1.033; 95% CI: 1.005, 1.061) were significantly associated with higher late post-stroke SOC visits. CONCLUSION: We demonstrated that the association of caregiver factors with outpatient medical follow-up varied by the type of service (i.e., PC versus SOC) and temporally. Our results support family-centred care provision by family physicians viewing caregivers not only as facilitators of care in the community but also as active members of the care team and as clients requiring care and regular assessments.

Stroke Rehabilitation Use and Caregiver Psychosocial Health Profiles in Singapore: A Latent Profile Transition Analysis.

OBJECTIVES: To identify and describe caregiver profiles based on their psychosocial health characteristics over a 12-month period and transitions among these profiles, to determine if stroke rehabilitation use at 12 months post-stroke differed by caregiver profile transition patterns, and to investigate if caregiver profiles at 3 months post-stroke moderate the association of stroke rehabilitation use at 3 months and 12 months post-stroke after accounting for covariates. DESIGN: Latent profile transition analysis of caregiver psychosocial health with stroke rehabilitation use at 12 month post-stroke as outcome. SETTING AND PARTICIPANTS: A total of 149 stroke patient-caregiver dyads from the Singapore Stroke Study. METHODS: Cross-sectional latent profile analyses were conducted on caregiver psychosocial health indicators of burden, depression, health status, quality of relationship with patient, and social support. Changes in latent profile classification over 3 time points (baseline, 3 months, and 12 months post-stroke) were analyzed using latent transition analysis. A transition model with stroke rehabilitation use at 12 months post-stroke as the outcome was tested after accounting for covariates. RESULTS: Two distinct caregiver psychosocial health latent profiles were found across time: nondistressed and distressed. Most caregivers were classified as nondistressed and remained nondistressed over time. Distressed caregivers at baseline were 76% likely to become nondistressed at 12 month post-stroke. Regardless of profile transition patterns, nondistressed caregivers at 12 months post-stroke tended to have cared for stroke rehabilitation nonusers at 12 months post-stroke. Patient depression explained profile classification at 3 months and 12 months post-stroke. After accounting for covariates, rehabilitation users at 3 months post-stroke tended to continue using rehabilitation at 12 months post-stroke only when they had nondistressed caregivers at 3 months post-stroke. CONCLUSIONS AND IMPLICATIONS: Whether caregiver adaptation explains the associations between the latent profile transition patterns and rehabilitation use at 12 months post-stroke should be examined. Early psychosocial health assessment and sustained support should be made available to stroke caregivers to enhance their well-being and subsequent patient rehabilitation participation.

Stepped Exercise Program for Patients With Knee Osteoarthritis : A Randomized Controlled Trial.

BACKGROUND: Evidence-based models are needed to deliver exercise-related services for knee osteoarthritis efficiently and according to patient needs. OBJECTIVE: To examine a stepped exercise program for patients with knee osteoarthritis (STEP-KOA). DESIGN: Randomized controlled trial. (ClinicalTrials.gov: NCT02653768). SETTING: 2 U.S. Department of Veterans Affairs sites. PARTICIPANTS: 345 patients (mean age, 60 years; 15% female; 67% people of color) with symptomatic knee osteoarthritis. INTERVENTION: Participants were randomly assigned in a 2:1 ratio to STEP-KOA or an arthritis education (AE) control group, respectively. The STEP-KOA intervention began with 3 months of an internet-based exercise program (step 1). Participants who did not meet response criteria for improvement in pain and function after step 1 progressed to step 2, which involved 3 months of biweekly physical activity coaching calls. Participants who did not meet response criteria after step 2 went on to in-person physical therapy visits (step 3). The AE group received educational materials via mail every 2 weeks. MEASUREMENTS: Primary outcome was Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score. Scores for the STEP-KOA and AE groups at 9 months were compared by using linear mixed models. RESULTS: In the STEP-KOA group, 65% of participants (150 of 230) progressed to step 2 and 35% (81 of 230) to step 3. The estimated baseline WOMAC score for the full sample was 47.5 (95% CI, 45.7 to 49.2). At 9-month follow-up, the estimated mean WOMAC score was 6.8 points (CI, -10.5 to -3.2 points) lower in the STEP-KOA than the AE group, indicating greater improvement. LIMITATION: Participants were mostly male veterans, and follow-up was limited. CONCLUSION: Veterans in STEP-KOA reported modest improvements in knee osteoarthritis symptoms compared with the control group. The STEP-KOA strategy may be efficient for delivering exercise therapies for knee osteoarthritis. PRIMARY FUNDING SOURCE: Department of Veterans Affairs, Health Services Research and Development Service.

Home-based tele-rehabilitation presents comparable positive impact on self-reported functional outcomes as usual care: The Singapore Tele-technology Aided Rehabilitation in Stroke (STARS) randomised controlled trial.

INTRODUCTION: The aim of this research was to evaluate the impact of a novel tele-rehabilitation system on self-reported functional outcomes compared to usual care during the first three months after stroke. METHODS: A parallel, two-arm, evaluator-blinded, randomised controlled trial was conducted. Adults aged ≥40 years who had suffered a stroke within four weeks of the start of the study were recruited from the general community. The intervention group received access to a novel tele-rehabilitation system and programme for three months. The primary outcome measures utilised were the frequency and limitation total scores of the Late-Life Function and Disability Instrument (LLFDI) at three months. RESULTS: A total of 124 individuals were recruited. The mean differences in the LLDFI frequency and limitation total scores at three months comparing the intervention and control groups were -3.30 (95% confidence interval (CI) -7.81 to 1.21) and -6.90 (95% CI -15.02 to 1.22), respectively. Adjusting for the respective baseline covariates and baseline Barthel Index also showed no significant difference between interventions in the LLFDI outcomes. DISCUSSION: The intervention and control groups self-reported similar improvements in functional outcomes. Tele-rehabilitation may be a viable option to provide post-stroke rehabilitation services in Singapore while reducing barriers to continue rehabilitation conventionally after discharge from hospital and encouraging more participation.

Erratum: Jesus, T.S., et al. Global Need for Physical Rehabilitation: Systematic Analysis from the Global Burden of Disease Study 2017. Int. J. Environ. Res. Public Health 2019, 16, 980.

The authors wish to add the following correction to their paper published in International Journal of Environmental Research and Public Health [...].

What Now for Rehabilitation Specialists? Coronavirus Disease 2019 Questions and Answers.

Recognizing a need for more guidance on the coronavirus disease 2019 (COVID-19) pandemic, members of the Archives of Physical Medicine and Rehabilitation Editorial Board invited several clinicians with early experience managing the disease to collaborate on a document to help guide rehabilitation clinicians in the community. This consensus document is written in a "question and answer" format and contains information on the following items: common manifestations of the disease; rehabilitation recommendations in the acute hospital setting, recommendations for inpatient rehabilitation and special considerations. These suggestions are intended for use by rehabilitation clinicians in the inpatient setting caring for patients with confirmed or suspected COVID-19. The text represents the authors' best judgment at the time it was written. However, our knowledge of COVID-19 is growing rapidly. The reader should take advantage of the most up-to-date information when making clinical decisions.