Promoting Activity in Geriatric Rehabilitation: A Randomized Controlled Trial of Accelerometry

A Novel Behavioral Intervention to Enhance Physical Activity for Older Veterans in a Skilled Nursing Facility

Physical activity levels during skilled nursing facility (SNF) rehabilitation fall far below what is needed for successful community living and to prevent adverse events. This feasibility study's purpose was to evaluate the feasibility, acceptability, and preliminary effectiveness of an intervention designed to improve physical activity in patients admitted to SNFs for short-term rehabilitation. High-Intensity Rehabilitation plus Mobility combined a high-intensity (i.e., high weight, low repetition), progressive (increasing in difficulty over time), and functional resistance rehabilitation intervention with a behavioral economics-based physical activity program. The behavioral economics component included five mobility sessions/week with structured goal setting, gamification, and loss aversion (the idea that people are more likely to change a behavior in response to a potential loss over a potential gain). SNF physical therapists, occupational therapists, and a mobility coach implemented the High-Intensity Rehabilitation plus Mobility protocol with older Veterans (n = 18) from a single SNF. Participants demonstrated high adherence to the mobility protocol and were highly satisfied with their rehabilitation. Treatment fidelity scores for clinicians were ≥95%. We did not observe a hypothesized 40% improvement in step counts or time spent upright. However, High-Intensity Rehabilitation plus Mobility participants made clinically important improvements in short physical performance battery scores and gait speed from admission to discharge that were qualitatively similar to or slightly higher than historical cohorts from the same SNF that had received usual care or high-intensity rehabilitation alone. These results suggest a structured physical activity program can be feasibly combined with high-intensity rehabilitation for SNF residents following a hospital stay.

Interventions Using Wearable Activity Trackers to Improve Patient Physical Activity and Other Outcomes in Adults Who Are Hospitalized: A Systematic Review and Meta-analysis

Importance

Low levels of physical activity during hospitalization are thought to contribute to a range of poor outcomes for patients. Using wearable activity trackers during hospitalization may help improve patient activity, sedentary behavior, and other outcomes.

Objective

To evaluate the association of interventions that use wearable activity trackers during hospitalization with patient physical activity, sedentary behavior, clinical outcomes, and hospital efficiency outcomes.

Data Sources

OVID MEDLINE, CINAHL, Embase, EmCare, PEDro, SportDiscuss, and Scopus databases were searched from inception to March 2022. The Cochrane Central Register for Controlled trials, ClinicalTrials.gov, and World Health Organization Clinical Trials Registry were also searched for registered protocols. No language restrictions were imposed.

Study Selection

Randomized clinical trials and nonrandomized clinical trials of interventions that used wearable activity trackers to increase physical activity or reduce sedentary behavior in adults (aged 18 years or older) who were hospitalized were included.

Data Extraction and Synthesis

Study selection, data extraction, and critical appraisal were conducted in duplicate. Data were pooled for meta-analysis using random-effects models. The Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline was followed.

Main Outcomes and Measures

The primary outcomes were objectively measured physical activity or sedentary behavior. Secondary outcomes included clinical outcomes (eg, physical function, pain, mental health), and hospital efficiency outcomes (eg, length of stay, readmission).

Results

Fifteen studies with a total of 1911 participants were included, representing various surgical cohorts (4 studies), stroke rehabilitation (3 studies), orthopedic rehabilitation (3 studies), mixed rehabilitation (3 studies), and mixed medical (2 studies). All studies were included in meta-analyses. There was a significant association between wearable activity tracker interventions with higher overall physical activity (standardized mean difference, 0.35; 95% CI, 0.15 to 0.54; I2 = 72%; P < .002) and less sedentary behavior (mean difference, -35.46 min/d; 95% CI, -57.43 to -13.48 min/d; I2 = 0; P = .002), and a significant association between wearable activity tracker interventions with improvements in physical function (standardized mean difference, 0.27; 95% CI, 0.08 to 0.46; I2 = 0; P = .006) compared with usual care. There was no significant association between wearable activity tracker interventions with pain, mental health, length of stay, or readmission risk.

Conclusions and Relevance

In this systematic review and meta-analysis, interventions that used wearable activity trackers with patients who are hospitalized were associated with higher physical activity levels, less sedentary behavior, and better physical functioning compared with usual care.

Physical activity monitoring-based interventions in geriatric patients: a scoping review on intervention components and clinical applicability

OBJECTIVE

To identify and analyze the components applied in interventions using physical activity (PA) monitoring in geriatric patients and determine their feasibility and applicability.

METHODS

A systematic search in six databases (PubMed, Embase, SPORTDiscus, CINAHL, Web of Science, and GeroLit) was conducted to identify studies reporting interventions that included the application of a PA monitor in adults aged ≥ 60 years with a clinical diagnosis. PA monitor interventions were analyzed regarding their feedback, goal-setting and behavior change technique (BCT) components. To determine the feasibility and applicability of interventions, the participants' adherence to the intervention, their experience as well as adverse events were analyzed.

RESULTS

Seventeen eligible studies, applying 22 interventions, were identified. Studies included a total of 827 older patients with a median age of 70.2 years. In thirteen interventions (59%), the PA monitor was embedded in a structured behavioral intervention, an indication-specific intervention or usual care. Most frequently applied intervention components were goal setting and self-monitoring (n = 18), real-time PA monitor feedback complemented by feedback from the study team (n = 12), use of further BCTs (n = 18), and regular counseling with the study team (n = 19). Comprehensive information on the participants' intervention adherence and experience were reported for 15 (68%) and 8 (36%) interventions, respectively.

CONCLUSION

The components included in PA monitoring-based interventions varied considerably especially regarding the extent, frequency, and content of feedback, goal setting and BCTs counseling. Future research should evaluate which components are most effective and clinically applicable to promote physical activity in geriatric patients. To be able to precisely analyze the effects, trials should seek to report details on intervention components, adherence and adverse events, while future reviews may use the findings of this scoping review to conduct analyses with less heterogeneity in study characteristics and intervention strategies.

Patterns of Objectively Measured Sedentary Behavior and Physical Activity and Their Association with Changes in Physical and Functional Performance in Geriatric Rehabilitation Inpatients

OBJECTIVES

To examine whether The Ending PyJama (PJ) Paralysis campaign, focused on increasing in-hospital physical activity, affects objectively measured sedentary behavior and physical activity patterns and if these are associated with changes in physical and functional performance in geriatric rehabilitation inpatients.

DESIGN

Quasi-experimental study.

SETTING AND PARTICIPANTS

Within the REStORing health of acutely unwell adulTs (RESORT) observational, longitudinal cohort of geriatric rehabilitation inpatients, the Ending PJ Paralysis campaign was implemented on 2 out of 4 wards.

METHODS

Objectively measured sedentary behavior and physical activity were measured by an inertial sensor (ActivPAL4) for 1 week, comparing control (non-PJ) and intervention (PJ) groups using linear mixed models. Mean sedentary behavior and physical activity measures and their association with physical and functional performance changes were investigated by linear regression analyses, stratified by low vs high performance at admission using the median as a cut-off.

RESULTS

A total of 145 (n = 68 non-PJ and n = 77 PJ) inpatients with a mean age of 83.0 (7.7) years (55.9% female inpatients) were included. The median nonupright time was 23.1 [22.1-23.6] and 23.0 [21.8-23.6] hours/day for non-PJ and PJ groups, respectively. Objectively measured sedentary behavior and physical activity measures did not significantly change over measurement days and were independent of the Ending PJ Paralysis campaign. For inpatients with low performance at admission, lower sedentary behavior [B(SE) -0.013 (0.005) to -0.157 (0.045), P < .01] and higher physical activity [B(SE) 0.033 (0.007) to 0.814 (0.200), P < .01] measures were associated with improved physical performance. In addition, lower sedentary behaviour [B(SE) = -0.058 (0.024), P < .05 and higher physical activity [B (SE) 0.060 (0.024) to 0.683 (0.182), P < .05] were associated with improved instrumental functional performance.

CONCLUSIONS AND IMPLICATIONS

In geriatric rehabilitation inpatients, the Ending PJ Paralysis campaign did not affect objectively measured sedentary behavior and physical activity patterns. Lower mean sedentary behaviour and higher physical activity measures were associated with improved physical and functional performance in inpatients with low performance.

Exploring the perspectives of clinicians on solutions to tackling physical inactivity and sedentary behaviour in older hospital patients

OBJECTIVE

Despite growing research on sedentary behaviour and physical activity among hospitalised older people, there is little evidence of effective intervention strategies. This study sought input from clinical staff from various health professions on strategies to increase physical activity and reduce sedentariness for hospitalised older people.

METHODS

A 60-minute focus group discussion involving two physiotherapists, two occupational therapists, one doctor, one nurse and one social worker was conducted. Participants were recruited from a subacute geriatric ward and an acute orthopaedic ward with an orthogeriatric service at a general hospital. Data were thematically analysed.

RESULTS

Six strategies to reduce sedentary behaviour and increase physical activity were identified: clear and positive communication for patients and family/carers; educating patients and family/carers; involving family/carers and volunteers; setting physical activity goals; utilising group activities and activities of daily living (ADL); and making the hospital environment activity-friendly.

CONCLUSIONS

This research has revealed novel strategies to increase physical activity and reduce sedentary behaviour in hospital. The next step is to design interventions for testing.

Feasibility and efficacy of an activity-monitoring approach using pedometer in patients undergoing subacute rehabilitation: A pilot study

Wearable devices for the quantification of walking have recently been adopted for gait rehabilitation. To apply this method in subacute rehabilitation settings, this approach must be effective in these populations and implemented as a feasible method in terms of adherence and safety, especially the risk of falling. This study aimed to investigate the feasibility and efficacy of an activity monitoring approach in subacute rehabilitation using a commercially available pedometer validated with slow walking. This randomized controlled study with blinded assessors recruited 29 patients admitted to a rehabilitation ward. The participants were randomly assigned to either the feedback (intervention) or the no-feedback (control) group. Participants in both groups received at least 120 min of therapy sessions every day for 6 or 7 days per week while wearing pedometers on their unaffected ankles from the day they were permitted to walk independently till discharge. Only participants in the feedback group received weekly encouragement and the next goals. The primary outcome was the change in the 6-minute walking distance (Δ6MD). Feasibility (percentage of pedometer data acquisition days in the total observational period and the number of falls) and other efficacy outcomes (step counts, gait speed, 30-seconds chair stand test, Berg Balance Scale, and Timed Up and Go Test) were also evaluated. Regarding feasibility outcomes, the data acquisition rate was 94.1% and the number of falls during the observation period was one in the feedback group. Regarding efficacy outcomes, Δ6MD was not significantly greater in the feedback group [mean (standard deviation): 79.1 (51.7) m] than in the no-feedback group [86.1 (65.4) m] (p = 0.774) and the other five secondary outcomes showed no between-group difference. Considering the large number of steps per day in both groups [6,912 (4,751) and 5,600 (5,108) steps in the feedback and no-feedback group, respectively], the effect of the intended intervention might have been masked by the effect of simply wearing pedometers in the control group. This study revealed that the activity monitoring approach using an ankle-worn pedometer was practical in terms of adherence and safety. Further clinical trials are required to elucidate ways to effectively use wearable devices in subacute rehabilitation.

Exercise for acutely hospitalised older medical patients

BACKGROUND

Approximately 30% of hospitalised older adults experience hospital-associated functional decline. Exercise interventions that promote in-hospital activity may prevent deconditioning and thereby maintain physical function during hospitalisation. This is an update of a Cochrane Review first published in 2007.

OBJECTIVES

To evaluate the benefits and harms of exercise interventions for acutely hospitalised older medical inpatients on functional ability, quality of life (QoL), participant global assessment of success and adverse events compared to usual care or a sham-control intervention.

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was May 2021.

SELECTION CRITERIA

We included randomised or quasi-randomised controlled trials evaluating an in-hospital exercise intervention in people aged 65 years or older admitted to hospital with a general medical condition. We excluded people admitted for elective reasons or surgery.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our major outcomes were 1. independence with activities of daily living; 2. functional mobility; 3. new incidence of delirium during hospitalisation; 4. QoL; 5. number of falls during hospitalisation; 6. medical deterioration during hospitalisation and 7. participant global assessment of success. Our minor outcomes were 8. death during hospitalisation; 9. musculoskeletal injuries during hospitalisation; 10. hospital length of stay; 11. new institutionalisation at hospital discharge; 12. hospital readmission and 13. walking performance. We used GRADE to assess certainty of evidence for each major outcome. We categorised exercise interventions as: rehabilitation-related activities (interventions designed to increase physical activity or functional recovery, but did not follow a specified exercise protocol); structured exercise (interventions that included an exercise intervention protocol but did not include progressive resistance training); and progressive resistance exercise (interventions that included an element of progressive resistance training).

MAIN RESULTS

We included 24 studies (nine rehabilitation-related activity interventions, six structured exercise interventions and nine progressive resistance exercise interventions) with 7511 participants. All studies compared exercise interventions to usual care; two studies, in addition to usual care, used sham interventions. Mean ages ranged from 73 to 88 years, and 58% of participants were women. Several studies were at high risk of bias. The most common domain assessed at high risk of bias was measurement of the outcome, and five studies (21%) were at high risk of bias arising from the randomisation process. Exercise may have no clinically important effect on independence in activities of daily living at discharge from hospital compared to controls (16 studies, 5174 participants; low-certainty evidence). Five studies used the Barthel Index (scale: 0 to 100, higher scores representing greater independence). Mean scores at discharge in the control groups ranged from 42 to 96 points, and independence in activities of daily living was 1.8 points better (0.43 worse to 4.12 better) with exercise compared to controls. The minimally clinical important difference (MCID) is estimated to be 11 points. We are uncertain regarding the effect of exercise on functional mobility at discharge from the hospital compared to controls (8 studies, 2369 participants; very low-certainty evidence). Three studies used the Short Physical Performance Battery (SPPB) (scale: 0 to 12, higher scores representing better function) to measure functional mobility. Mean scores at discharge in the control groups ranged from 3.7 to 4.9 points on the SPPB, and the estimated effect of the exercise interventions was 0.78 points better (0.02 worse to 1.57 better). A change of 1 point on the SPPB represents an MCID. We are uncertain regarding the effect of exercise on the incidence of delirium during hospitalisation compared to controls (7 trials, 2088 participants; very low-certainty evidence). The incidence of delirium during hospitalisation was 88/1091 (81 per 1000) in the control group compared with 70/997 (73 per 1000; range 47 to 114) in the exercise group (RR 0.90, 95% CI 0.58 to 1.41). Exercise interventions may result in a small clinically unimportant improvement in QoL at discharge from the hospital compared to controls (4 studies, 875 participants; low-certainty evidence). Mean QoL on the EuroQol 5 Dimensions (EQ-5D) visual analogue scale (VAS) (scale: 0 to 100, higher scores representing better QoL) ranged between 48.9 and 64.7 in the control group at discharge from the hospital, and QoL was 6.04 points better (0.9 better to 11.18 better) with exercise. A change of 10 points on the EQ-5D VAS represents an MCID. No studies measured participant global assessment of success. Exercise interventions did not affect the risk of falls during hospitalisation (moderate-certainty evidence). The incidence of falls was 31/899 (34 per 1000) in the control group compared with 31/888 (34 per 1000; range 20 to 57) in the exercise group (RR 0.99, 95% CI 0.59 to 1.65). We are uncertain regarding the effect of exercise on the incidence of medical deterioration during hospitalisation (very low-certainty evidence). The incidence of medical deterioration in the control group was 101/1417 (71 per 1000) compared with 96/1313 (73 per 1000; range 44 to 120) in the exercise group (RR 1.02, 95% CI 0.62 to 1.68). Subgroup analyses by different intervention categories and by the use of a sham intervention were not meaningfully different from the main analyses.

AUTHORS' CONCLUSIONS

Exercise may make little difference to independence in activities of daily living or QoL, but probably does not result in more falls in older medical inpatients. We are uncertain about the effect of exercise on functional mobility, incidence of delirium and medical deterioration. Certainty of evidence was limited by risk of bias and inconsistency. Future primary research on the effect of exercise on acute hospitalisation could focus on more consistent and uniform reporting of participant's characteristics including their baseline level of functional ability, as well as exercise dose, intensity and adherence that may provide an insight into the reasons for the observed inconsistencies in findings.

Conflicting Aims and Values in the Application of Smart Sensors in Geriatric Rehabilitation: Ethical Analysis

Background

Smart sensors have been developed as diagnostic tools for rehabilitation to cover an increasing number of geriatric patients. They promise to enable an objective assessment of complex movement patterns.

Objective

This research aimed to identify and analyze the conflicting ethical values associated with smart sensors in geriatric rehabilitation and provide ethical guidance on the best use of smart sensors to all stakeholders, including technology developers, health professionals, patients, and health authorities.

Methods

On the basis of a systematic literature search of the scientific databases PubMed and ScienceDirect, we conducted a qualitative document analysis to identify evidence-based practical implications of ethical relevance. We included 33 articles in the analysis. The practical implications were extracted inductively. Finally, we carried out an ethical analysis based on the 4 principles of biomedical ethics: autonomy, beneficence, nonmaleficence, and justice. The results are reported in categories based on these 4 principles.

Results

We identified 8 conflicting aims for using smart sensors. Gains in autonomy come at the cost of patient privacy. Smart sensors at home increase the independence of patients but may reduce social interactions. Independent measurements performed by patients may result in lower diagnostic accuracy. Although smart sensors could provide cost-effective and high-quality diagnostics for most patients, minorities could end up with suboptimal treatment owing to their underrepresentation in training data and studies. This could lead to algorithmic biases that would not be recognized by medical professionals when treating patients.

Conclusions

The application of smart sensors has the potential to improve the rehabilitation of geriatric patients in several ways. It is important that patients do not have to choose between autonomy and privacy and are well informed about the insights that can be gained from the data. Smart sensors should support and not replace interactions with medical professionals. Patients and medical professionals should be educated about the correct application and the limitations of smart sensors. Smart sensors should include an adequate representation of minorities in their training data and should be covered by health insurance to guarantee fair access.

Goal-Directed Mobility of Medical Inpatients-A Mini Review of the Literature

Background

Inpatients spend most of their hospitalization in bed, which can lead to negative physical, social, and psychological outcomes, especially in the geriatric population. Goal-directed mobilization involves setting mobility goals with patients and care teams working together toward achieving these goals.

Methods

Three different platforms (SCOPUS, Ovid Medline, PubMed) were searched. Search terms included "goal-directed," "goal-attainment" or "goal-setting," and "inpatient" or "hospitalization" and "mobility" or "mobilization." Articles were included if mobility goals were set in acutely hospitalized adults. Studies were excluded if only covering specific illness or surgery.

Results

One Hundred Seventy three articles were screened for inclusion by two independent reviewers. In the final analysis, 13 articles (5 randomized controlled trials, 2 Post-hoc analyses, 3 quality-improvement projects, 1 pre-post two group analysis, 1 comment and 1 study protocol) were assessed. Goal-directed mobilization improved mobility-related outcomes, i.e., level of mobilization, activity, daily walking time and functional independence. Readmissions, quality of life, discharge disposition and muscle weakness were not significantly altered and there was conflicting evidence regarding length of stay and activities of daily living.

Conclusion

There is a lack of evidence of goal-directed mobilization on relevant outcomes due to the low number of studies in the field and the study design used. Further research on goal-directed mobility should use standardized mobility protocols and measurements to assess mobility and the effects of goal-directed mobility more accurately and include broader patient populations.

The effectiveness of physical activity interventions using activity trackers during or after inpatient care: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Promoting physical activity (PA) in patients during and/or after an inpatient stay appears important but challenging. Interventions using activity trackers seem promising to increase PA and enhance recovery of physical functioning.

OBJECTIVE

To review the effectiveness of physical activity interventions using activity trackers on improving PA and physical functioning, compared to usual care in patients during and/or after inpatient care. In addition, it was determined whether the following intervention characteristics increase the effectiveness of these interventions: the number of behaviour change techniques (BCTs) used, the use of a theoretical model or the addition of coaching by a health professional.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

PubMed, EMBASE, Cinahl, SportDiscus and Web of Science databases were searched in March 2020 and updated in March 2021.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Randomized controlled trials (RCTs) including interventions using activity trackers and feedback on PA in adult patients during, or less than 3 months after, hospitalization or inpatient rehabilitation.

METHODS

Following database search and title and abstract screening, articles were screened on full text for eligibility and then assessed for risk of bias by using the Physiotherapy Evidence Database (PEDro) scale. Meta-analyses, including subgroup analysis on intervention characteristics, were conducted for the outcomes PA and physical functioning.

RESULTS

Overall, 21 RCTs totalling 2355 patients were included. The trials covered a variety of clinical areas. There was considerable heterogeneity between studies. For the 13 studies that measured PA as an outcome variable(N = 1435), a significant small positive effect in favour of the intervention was found (standardized mean difference (SMD) = 0.34; 95%CI 0.12-0.56). For the 13 studies that measured physical functioning as an outcome variable (N = 1415) no significant effect was found (SMD = 0.09; 95%CI -0.02 - 0.19). Effectiveness on PA seems to improve by providing the intervention both during and after the inpatient period and by using a theoretical model, multiple BCTs and coaching by a health professional.

CONCLUSION

Interventions using activity trackers during and/or after inpatient care can be effective in increasing the level of PA. However, these improvements did not necessarily translate into improvements in physical functioning. Several intervention characteristics were found to increase the effectiveness of PA interventions.

TRIAL REGISTRATION

Registered in PROSPERO ( CRD42020175977 ) on March 23th, 2020.

Behaviour change interventions to increase physical activity in hospitalised patients: a systematic review, meta-analysis and meta-regression

BACKGROUND

Low physical activity levels are a major problem for people in hospital and are associated with adverse outcomes.

OBJECTIVE

This systematic review, meta-analysis and meta-regression aimed to determine the effect of behaviour change interventions on physical activity levels in hospitalised patients.

METHODS

Randomised controlled trials of behaviour change interventions to increase physical activity in hospitalised patients were selected from a database search, supplemented by reference list checking and citation tracking. Data were synthesised with random-effects meta-analyses and meta-regression analyses, applying Grades of Recommendation, Assessment, Development and Evaluation criteria. The primary outcome was objectively measured physical activity. Secondary measures were patient-related outcomes (e.g. mobility), service level outcomes (e.g. length of stay), adverse events and patient satisfaction.

RESULTS

Twenty randomised controlled trials of behaviour change interventions involving 2,568 participants (weighted mean age 67 years) included six trials with a high risk of bias. There was moderate-certainty evidence that behaviour change interventions increased physical activity levels (SMD 0.34, 95% CI 0.14-0.55). Findings in relation to mobility and length of stay were inconclusive. Adverse events were poorly reported. Meta-regression found behaviour change techniques of goal setting (SMD 0.29, 95% CI 0.05-0.53) and feedback (excluding high risk of bias trials) (SMD 0.35, 95% CI 0.11-0.60) were independently associated with increased physical activity.

CONCLUSIONS

Targeted behaviour change interventions were associated with increases in physical activity in hospitalised patients. The trials in this review were inconclusive in relation to the patient-related or health service benefits of increasing physical activity in hospital.

Effectiveness of Self-Monitoring Approach Using Fitness Trackers to Improve Walking Ability in Rehabilitation Settings: A Systematic Review

Background: A self-monitoring approach utilizing fitness trackers that provide feedback regarding physical activities has been recently applied to rehabilitation patients to promote voluntary walking activities. Although this approach has been proven to increase physical activity, it is uncertain whether the intervention improves walking ability.

Aim: This review investigated whether the additional self-monitoring approach using activity trackers would improve walking ability in any type of rehabilitation setting.

Methods: A systematic search was performed in four databases [PubMed (MEDLINE), The Cochrane Library, SPORTDiscus, and Cumulative Index to Nursing and Allied Health Literature] to identify studies that examined the self-monitoring approach combined with rehabilitative intervention vs. the same rehabilitative intervention only in participants with any unhealthy conditions. Two review authors independently assessed the eligibility of all the retrieved English literature published from 2009 to 2019, then discussed the final inclusion. The risk of bias was assessed referring to the criteria of the Cochrane Risk of Bias tool. The key findings were synthesized using narrative synthesis. In addition, a quantitative synthesis was conducted when more than two studies investigating the same disease were identified.

Results: Eleven randomized controlled trials satisfied the eligibility criteria, nine of which had a lower risk of bias. The types of diseases included stroke, chronic obstructive pulmonary disease (COPD), cancer, Parkinson's disease, hemophilia, peripheral artery disease, post-total knee arthroplasty, and geriatric rehabilitation. Eight studies reported measures of walking endurance and four reported measures of gait speed. In the quantitative synthesis of two studies investigating COPD, there was a significant between-group difference in terms of changes in the 6-min walking distance from the baseline, which was favorable to the additional self-monitoring intervention group (mean difference: 13.1 m; 95% confidence interval, 1.8–24.5; 2 studies, 124 participants; p = 0.02; I² = 0%). Other available data revealed no consistent evidence regarding effectiveness of the intervention.

Conclusions: The findings indicate that there is little evidence suggesting the effectiveness of the self-monitoring approach in improving walking ability in rehabilitation settings. However, a weak recommendation for patients with stable COPD was implicated in the quantitative synthesis. Further research would be required to explore the best indications for this self-monitoring approach.

Systematic Review Registration: CRD 42020157695.

Many inpatients may not be physically prepared for community ambulation on discharge from a publicly funded rehabilitation centre: a cross-sectional cohort study

PURPOSE

We assessed the ability of patients discharging home from inpatient rehabilitation to meet criteria for community ambulation.

METHODS

Cross-sectional observational study design. Participants were assessed, within 48-hours of discharge on their ability to: ascend/descend three steps, walk at a speed of 0.44 m/s, ascend/descend a slope, ascend/descend a kerb, and walk 315 m continuously. Demographic data were collected from medical records. Multiple logistic regression determined factors predictive of meeting criteria.

RESULTS

Of 200 participants (mean 73 years, 66% women, mixed diagnosis), 64 (32%) met all criteria. The least commonly met criteria were walking 315 m continuously (37%) and ascending/descending steps (70%). Participants who were female (OR: 0.27, 95%CI: 0.12-0.61), with a high comorbidity index (OR: 0.71, 95%CI: 0.56-0.91) or a traumatic orthopaedic diagnosis (OR: 0.22, 95%CI: 0.05-0.96) were less likely to meet all criteria. Participants with a higher admission functional independence walk item score (OR: 1.37, 95%CI: 1.05-1.78) or higher ambulatory self-confidence (OR: 1.02, 95%CI: 1.01-1.04) were more likely to meet all criteria.

CONCLUSIONS

Approximately, one-third of inpatients discharged home from a publicly funded rehabilitation centre met the community ambulation criteria, suggesting many may not be physically prepared to participate in their community.Implications for RehabilitationOnly about one in three inpatients discharging home from a publicly funded rehabilitation centre met physical criteria for community ambulation.Patients discharging home from inpatient rehabilitation have most difficulty walking long distances (≥315 m) compared to other criteria required for community ambulation (i.e., walking at a speed of 0.44 m/s, stepping up/down a kerb, ascending/descending a slope and ascending/descending three steps) and rehabilitation during this phase may require an increased focus on improving walking endurance/physical activity.Women with a high co-morbidity index, traumatic orthopaedic diagnosis, low self-confidence with ambulation on discharge and who require more assistance with walking on admission are least likely to meet the physical criteria for community ambulation at discharge, and therefore may require additional rehabilitation or supports.

eHealth in Geriatric Rehabilitation: Systematic Review of Effectiveness, Feasibility, and Usability

BACKGROUND

eHealth has the potential to improve outcomes such as physical activity or balance in older adults receiving geriatric rehabilitation. However, several challenges such as scarce evidence on effectiveness, feasibility, and usability hinder the successful implementation of eHealth in geriatric rehabilitation.

OBJECTIVE

The aim of this systematic review was to assess evidence on the effectiveness, feasibility, and usability of eHealth interventions in older adults in geriatric rehabilitation.

METHODS

We searched 7 databases for randomized controlled trials, nonrandomized studies, quantitative descriptive studies, qualitative research, and mixed methods studies that applied eHealth interventions during geriatric rehabilitation. Included studies investigated a combination of effectiveness, usability, and feasibility of eHealth in older patients who received geriatric rehabilitation, with a mean age of ≥70 years. Quality was assessed using the Mixed Methods Appraisal Tool and a narrative synthesis was conducted using a harvest plot.

RESULTS

In total, 40 studies were selected, with clinical heterogeneity across studies. Of 40 studies, 15 studies (38%) found eHealth was at least as effective as non-eHealth interventions (56% of the 27 studies with a control group), 11 studies (41%) found eHealth interventions were more effective than non-eHealth interventions, and 1 study (4%) reported beneficial outcomes in favor of the non-eHealth interventions. Of 17 studies, 16 (94%) concluded that eHealth was feasible. However, high exclusion rates were reported in 7 studies of 40 (18%). Of 40 studies, 4 (10%) included outcomes related to usability and indicated that there were certain aging-related barriers to cognitive ability, physical ability, or perception, which led to difficulties in using eHealth.

CONCLUSIONS

eHealth can potentially improve rehabilitation outcomes for older patients receiving geriatric rehabilitation. Simple eHealth interventions were more likely to be feasible for older patients receiving geriatric rehabilitation, especially, in combination with another non-eHealth intervention. However, a lack of evidence on usability might hamper the implementation of eHealth. eHealth applications in geriatric rehabilitation show promise, but more research is required, including research with a focus on usability and participation.

Factors Associated With Walking in Older Medical Inpatients

Objective

To identify patient characteristics on admission and daily events during hospitalization that could influence older medical inpatients walking activity during hospitalization.

Design

A cohort study.

Setting

Acute hospitalized care.

Participants

Premorbidly mobile, nonsurgical, nonelective inpatients (50% women) aged ≥65 years (N=154), with an anticipated ≥3-day inpatient stay were recruited consecutively within 48 hours of hospital admission. Of the 227 patients screened, 69 did not meet study criteria and 4 refused.

Interventions

Not applicable.

Main Outcome Measures

Age, comorbidities (Cumulative Illness Rating Scale), cognitive status (6-item Cognitive Impairment Test), falls history and efficacy (Falls Efficacy Scale-International), physical performance (short physical performance battery), and medications were recorded within 2 days of admission. Walking activity (step count) was recorded for 7 days or until discharge. Daily events (procedures, falls, fear of falling, ordered bedrest, devices or treatments that hindered walking [eg, intravenous fluids, wall-mounted oxygen therapy], patient- and nurse-reported medial status, fatigue, sleep quality, physiotherapy, or occupational therapy intervention) were measured on concurrent weekdays. Their associations with daily (log) step count were estimated using linear mixed-effects models, adjusted for patient-characteristics measured at admission.

Results

Approximately half of the variability in step count was described at the within-patient level. Multivariable models suggested positive associations with Wednesdays (+25% in step count; 95% confidence interval, 4-53), admission physical performance (+15%, 8-22), improving medical status (+33%, 7-64), negative associations with devices or treatments that hinder walking (−29%, −9 to −44), and instructed bedrest (−69%, −55 to −79).

Conclusion

Day-to-day step count fluctuated, suggesting considerable scope for intervention. Devices or treatments that hinder walking should be reviewed daily and walking activity should become a clinical priority. Admission physical performance may identify vulnerable patients.

Effects of General Physical Activity Promoting Interventions on Functional Outcomes in Patients Hospitalized over 48 Hours: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Low physical activity of patients is a global problem and associated with loss of strength and independent mobility. This study analyzes the effect of general physical activity promoting interventions on functional and hospital outcomes in patients hospitalized over 48 h. Five electronic databases were searched for randomized controlled trials. For outcomes reported in two studies or more, a meta-analysis was performed to test between-group differences (intervention versus control) using a random-effects model. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was used to rate the certainty of evidence for each outcome. Out of 23,302 identified studies, we included four studies (in total n = 368 participants). We found with moderate certainty of evidence 0 reported falls in the intervention (n = 126) versus five reported falls in the control (n = 122), a non-statistically significant difference between intervention and control groups (p = 0.06). In addition, we found with (very) low certainty of evidence no statistically significant differences between groups on activities of daily living (ADL-activity) and time spent standing and walking. Overall, we found no conclusive evidence on the effect of general physical activity promoting interventions on functional outcomes. More research is needed to understand and improve the effect of general physical activity promoting interventions for patients during the hospital stay.

Recommendations for older adults' physical activity and sedentary behaviour during hospitalisation for an acute medical illness: an international Delphi study

BACKGROUND

Immobility is major contributor to poor outcomes for older people during hospitalisation with an acute medical illness. Yet currently there is no specific mobility guidance for this population, to facilitate sustainable changes in practice. This study aimed to generate draft physical activity (PA) and sedentary behaviour (SB) recommendations for older adults' during hospitalisation for an acute medical illness.

METHODS

A 4-Round online Delphi consensus survey was conducted. International researchers, medical/nursing/physiotherapy clinicians, academics from national PA/SB guideline development teams, and patients were invited to participate. Round 1 sought responses to open-ended questions. In Rounds 2-3, participants rated the importance of items using a Likert scale (1-9); consensus was defined a priori as: ≥70% of respondents rating an item as "critical" (score ≥ 7) and ≤ 15% of respondents rating an item as "not important" (score ≤ 3). Round 4 invited participants to comment on draft statements derived from responses to Rounds 1-3; Round 4 responses subsequently informed final drafting of recommendations.

RESULTS

Forty-nine people from nine countries were invited to each Round; response rates were 94, 90, 85 and 81% from Rounds 1-4 respectively. 43 concepts (items) from Rounds 2 and 3 were incorporated into 29 statements under themes of PA, SB, people and organisational factors in Round 4. Examples of the final draft recommendations (being the revised version of statements with highest participant endorsement under each theme) were: "some PA is better than none", "older adults should aim to minimise long periods of uninterrupted SB during waking hours while hospitalised", "when encouraging PA and minimising SB, people should be culturally responsive and mindful of older adults' physical and mental capabilities" and "opportunities for PA and minimising SB should be incorporated into the daily care of older adults with a focus on function, independence and activities of daily living".

CONCLUSIONS

These world-first consensus-based statements from expert and stakeholder consultation provide the starting point for recommendations to address PA and SB for older adults hospitalised with an acute medical illness. Further consultation and evidence review will enable validation of these draft recommendations with examples to improve their specificity and translation to clinical practice.

An observational study of physical, cognitive and social activities in rehabilitation inpatients

OBJECTIVES

To describe patient behaviour related to mobility in a rehabilitation inpatient setting and compare intensive and Transition Care Program (TCP, slow-stream rehabilitation) models.

METHODS

Prospective cross-sectional design including weekday and weekend sampling in two rehabilitation wards (one intensive and one TCP) in a publicly funded facility. A single trained observer undertook behavioural mapping, observing patient location, mobility, activity and company on all inpatients 8 am-4 pm using a structured 2-minute observation protocol. Observations were summarised and compared between wards.

RESULTS

We observed 74 inpatients on a Tuesday and 77 on a Sunday. Participants spent 7% (median) of daytime standing or walking. They spent 62%-87% in their room, 22%-40% sleeping or resting and 74%-86% alone. The only significant difference between wards was time spent off ward on Tuesday. Activity was lower on Sunday.

CONCLUSIONS

Time spent in physical, cognitive and social activities is low in inpatient rehabilitation and TCP wards.

How Effective Are Interventions to Increase Physical Activity Levels among Older Inpatients Receiving Rehabilitation, without Increasing the Amount of Therapy? A Systematic Review

Purpose: We systematically reviewed the effectiveness of interventions to increase physical activity in older adults (aged ≥ 60 y), admitted for inpatient rehabilitation, without increasing the amount of therapy. Method: Five electronic databases were systematically searched to identify English-language articles reporting controlled trials of interventions to increase the physical activity (through participation or behavioural change) of older adults receiving inpatient rehabilitation. Trials were excluded if an intervention increased the intensity of usual care, either during the week or on the weekend. Two reviewers independently completed trial selection, quality assessment, and data extraction. Data were synthesized descriptively, and effect sizes with 95% CIs were calculated. Results: Of the 316 articles identified, 3 were included. Two were activity-based, and 1 was a behavioural change intervention. Physical activity was significantly improved in the behavioural change intervention trial that occurred during therapy (d = 0.27; 95% CI: 0.02, 0.52) and non-therapy time (d = 0.43; 95% CI: 0.19, 0.68). Participants in all trials were sedentary for the vast majority of the day. Conclusions: Older adults in inpatient rehabilitation have a high level of inactivity. Evidence is lacking that interventions increase physical activity in older adults admitted to inpatient rehabilitation without increasing the amount of time in therapy. Evidence from one trial indicates that behaviour-based strategies are effective for increasing physical activity levels in the inpatient rehabilitation setting.

Change of Objectively-Measured Physical Activity during Geriatric Rehabilitation

This prospective study investigated feasibility and sensitivity of sensor-based physical activity (PA) measures to monitor changes in PA during geriatric rehabilitation and its relation to clinical parameters at admission. PA was routinely measured at day 2 and day 15 after admission in 647 patients (70.2% women, mean age = 82.0 (SD = 7.19) years) of a German geriatric hospital using a thigh-worn accelerometer. Clinical records were used to include age, Barthel Index, diagnosis, mobility, orientation and cognition. Mean values and 95% confidence intervals (95%-CI) of walking duration, walking bout duration and number of sit-to-stand transfers were calculated to quantify different domains of PA. All observed PA parameters improved during rehabilitation, regardless of age, diagnosis or physical and cognitive function at admission. Walking duration increased by 12.1 (95%-CI: 10.3; 13.8) min, walking bout duration by 2.39 (95%-CI: 1.77; 3.00) s, and number of sit-to-stand transfers by 7 (95%-CI: 5; 8). Floor and ceiling effects were not observed. Walking duration at day 2 as well as day 15 was continuously associated with Barthel Index and statistically significant improved for all levels of Barthel Index. In summary, this study showed that sensor-based PA monitoring is feasible to assess the individual progress in geriatric rehabilitation patients.

Challenging rehabilitation environment for older patients

Introduction

After hospitalization, 11% of the older patients are referred to rehabilitation facilities. Nowadays, there is a trend to formalize the rehabilitation process for these patients in a Challenging Rehabilitation Environment (CRE). This concept involves the comprehensive organization of care, support and the environment on a rehabilitation ward. However, since literature on the principles of CRE is scarce, this review aimed to explore and describe the principles of CRE.

Methods

A search was made in PubMed for relevant literature concerning CRE. Then, articles were hand searched for relevant keywords (ie, task-oriented training, therapy intensity, patient-led therapy, group training), references were identified, and topics categorized.

Results

After evaluating 51 articles, 7 main topics of CRE were identified: 1) Therapy time; ie, the level of (physical) activity; the intensity of therapy and activity is related to rehabilitation outcomes, 2) group training; used to increase practice time and can be used to achieve multiple goals (eg, activities of daily living, mobility), 3) patient-regulated exercise; increases the level of self-management and practice time, 4) family participation; may lead to increased practice time and have a positive effect on rehabilitation outcomes, 5) task-oriented training; in addition to therapy, nurses can stimulate rehabilitants to perform meaningful tasks that improve functional outcomes, 6) enriched environment; this challenges rehabilitants to be active in social and physical activities, and 7) team dynamics; shared goals during rehabilitation and good communication in a transdisciplinary team improve the quality of rehabilitation.

Discussion

This is the first description of CRE based on literature; however, the included studies discussed rehabilitation mainly after stroke and for few other diagnostic groups.

Conclusion

Seven main topics related to CRE were identified that may help patients to improve their rehabilitation outcomes. Further research on the concept and effectivity of CRE is necessary.

Physical activity monitors to enhance amount of physical activity in older adults - a systematic review and meta-analysis

Background

The body of evidence related to the effect of physical activity monitor-based interventions has grown over the recent years. However, the effect of physical activity monitor-based interventions in older adults remains unclear and should be systematically reviewed.

Objective

The objective of this systematic review was to estimate the effect of physical activity monitor-based interventions on physical activity behavior in participants aged 65 and above. Subsequently we explored the effect on body mass index, physical capacity, and health-related quality of life and finally the impact of patient- and intervention characteristics.

Methods

Searches in MEDLINE, EMBASE, SPORTDiscus, CINAHL, and CENTRAL were performed on April 26, 2018. No publication date filters were applied. References of eligible studies were scrutinized and relevant journals were hand-searched. Randomized controlled trials and randomized cross-over trials investigating the effect of a physical activity monitor-based intervention on physical activity were included. Studies were included if the mean age of the participants was above 65 years, and participants could walk independently with or without walking aids. The Cochrane handbook was used as a template for extracting data and the RoB 2.0 tool was used to assess risk of bias. Random-effects meta-analysis using Hedges g, were used to pool the study results. The main outcome of this study was physical activity.

Results

Twenty-one studies with 2783 participants were included. The median participant age in the studies was 70.5 years, the median percentage of male participants was 42%, and the median baseline daily step count was 5268. Physical activity monitor-based interventions had a moderate effect (SMD = 0.54, 95% CI: 0.34 to 0.73) compared to control interventions, corresponding to an average increase of 1297 steps per day in the intervention groups. No impact of patient and intervention characteristics on the effect estimates were found.

Short conclusion

Low quality of evidence was found for a moderate effect of physical activity monitor-based interventions on physical activity compared with control interventions. More studies with higher research methodology standards are required.

PROSPERO registration

CRD42018083648.

Electronic supplementary material

The online version of this article (10.1186/s11556-019-0213-6) contains supplementary material, which is available to authorized users.

Pedometers alone do not increase mobility in inpatient rehabilitation: a randomized controlled trial

OBJECTIVE

To test if pedometers, as a motivational tool, could affect mobility outcomes in inpatient rehabilitation.

DESIGN

Randomized controlled clinical trial.

SETTING

Subacute hospital rehabilitation unit in Australia.

PARTICIPANTS

A total of 78 participants with reduced mobility and clinician-determined capacity to improve.

INTERVENTIONS

Both groups received usual care. For the intervention group, a pedometer was worn on the hip with the step count visible to participant and recorded daily on an exercise log. For the control group, a pedometer fixed shut was worn on the hip and they recorded estimated distances walked on an exercise log.

MAIN MEASURES

Primary outcome was functional mobility - De Morton Mobility Index. Secondary outcome measures were walking velocity, functional independence measure, time spent upright and daily step count.

RESULTS

Significant improvements over time (P < 0.001) in functional mobility, comfortable walking velocity and functional independence measure were not influenced by the intervention. The daily average upright time (hours) in the first week of intervention was different (P = 0.004) between the intervention group (median, interquartile range (IQR): 1.67, 1.77) compared to the control group (median, IQR: 1.12, 0.82).

CONCLUSION

Pedometers as a motivational tool without targets do not improve functional mobility in this population. Pedometers may improve daily upright time in this setting.

Evaluation of a smartwatch-based intervention providing feedback of daily activity within a research-naive stroke ward: a pilot randomised controlled trial

Background

The majority of stroke patients are inactive outside formal therapy sessions. Tailored activity feedback via a smartwatch has the potential to increase inpatient activity. The aim of the study was to identify the challenges and support needed by ward staff and researchers and to examine the feasibility of conducting a randomised controlled trial (RCT) using smartwatch activity monitors in research-naive rehabilitation wards. Objectives (Phase 1 and 2) were to report any challenges and support needed and determine the recruitment and retention rate, completion of outcome measures, smartwatch adherence rate, (Phase 2 only) readiness to randomise, adherence to protocol (intervention fidelity) and potential for effect.

Methods

First admission, stroke patients (onset < 4 months) aged 40-75, able to walk 10 m prior to stroke and follow a two-stage command with sufficient cognition and vision (clinically judged) were recruited within the Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine. Phase 1: a non-randomised observation phase (to allow practice of protocol)-patients received no activity feedback. Phase 2: a parallel single-blind pilot RCT. Patients were randomised into one of two groups: to receive daily activity feedback over a 9-h period or to receive no activity feedback. EQ-5D-5L, WHODAS and RMI were conducted at baseline, discharge and 3 months post-discharge. Descriptive statistics were performed on recruitment, retention, completion and activity counts as well as adherence to protocol.

Results

Out of 470 ward admissions, 11% were recruited across the two phases, over a 30-week period. Retention rate at 3 months post-discharge was 48%. Twenty-two percent of patients dropped out post-baseline assessment, 78% completed baseline and discharge admissions, from which 62% were assessed 3 months post-discharge. Smartwatch data were received from all patients. Patients were correctly randomised into each RCT group. RCT adherence rate to wearing the smartwatch was 80%. Baseline activity was exceeded for 65% of days in the feedback group compared to 55% of days in the no feedback group.

Conclusions

Delivery of a smartwatch RCT is feasible in a research-naive rehabilitation ward. However, frequent support and guidance of research-naive staff are required to ensure completeness of clinical assessment data and protocol adherence.

Trials registration

ClinicalTrials.gov Identifier, NCT02587585-30th September 2015.

Additional structured physical activity does not improve walking in older people (>60years) undergoing inpatient rehabilitation: a randomised trial

QUESTIONS

Among older people receiving inpatient rehabilitation, does additional supervised physical activity lead to faster self-selected gait speed at discharge? Does additional supervised physical activity lead to better mobility, function and quality of life at discharge and 6 months following discharge?

DESIGN

Multi-centre, parallel-group, randomised controlled trial with concealed allocation, assessor blinding, and intention-to-treat analysis.

PARTICIPANTS

Older people (age>60years) from two Australian hospitals undergoing rehabilitation to improve mobility.

INTERVENTION

Participants received multidisciplinary care, including physiotherapy. During hospital rehabilitation, the experimental group (n=99) spent additional time daily performing physical activities that emphasised upright mobility tasks; the control group (n=99) spent equal time participating in social activities.

OUTCOME MEASURES

Self-selected gait speed was the primary outcome at discharge and a secondary outcome at the 6-month follow-up. Timed Up and Go, De Morton Mobility Index, Functional Independence Measure and quality of life were secondary outcomes at discharge and tertiary outcomes at the 6-month follow-up.

RESULTS

The experimental group received a median of 20 additional minutes per day (IQR 15.0 to 22.5) of upright activities for a median of 16.5days (IQR 10.0 to 25.0). Gait speed did not differ between groups at discharge. Mean gait speed was 0.51m/s (SD 0.29) in the experimental group and 0.56m/s (SD 0.28) in the control group (effect size -0.06m/s, 95% CI -0.12 to 0.01, p=0.096). No significant differences were detected in other secondary measures.

CONCLUSION

While substantial gains in mobility were achieved by older people receiving inpatient rehabilitation, additional physical activity sessions did not lead to better walking outcomes at discharge or 6 months.

TRIAL REGISTRATION

ACTRN12613000884707. [Said CM, Morris ME, McGinley JL, Szoeke C, Workman B, Liew D, Hill KD, Woodward M, Wittwer JE, Churilov L, Danoudis M, Bernhardt J (2018) Additional structured physical activity does not improve walking in older people (> 60 years) undergoing inpatient rehabilitation: a randomised trial. Journal of Physiotherapy 64: 237-244].

Physical activity monitors to enhance the daily amount of physical activity in elderly-a protocol for a systematic review and meta-analysis

BACKGROUND

To investigate the use of physical activity monitors (PAMs) for the elderly, the scientific literature should be systematically reviewed and the effect quantified, as the evidence seems inconclusive.

METHODS AND DESIGN

Randomized controlled trials and randomized crossover trials, with participants with a mean age above 65 years, comparing any PAM intervention with other control interventions or no intervention, will be included. This protocol is detailed according to the recommendations of the Cochrane Handbook, and it is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols statement.

RESULTS

We will present results from the search in a flow diagram. The results from the analyses will include regular meta-analyses, stratified analyses, and meta-regressions. The results on each outcome of interest will be presented in a summary of findings table.

DISCUSSION

This paper will explore and analyze the heterogeneity of the results and try to identify variables that will enhance the effect of PAMs in elderly. The results will be useful to researchers working with elderly and/or PAMs, health care professionals working with elderly, and relatives together with the elderly themselves.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018083648 .

Does feedback on daily activity level from a Smart watch during inpatient stroke rehabilitation increase physical activity levels? Study protocol for a randomized controlled trial

Background

Practicing activities improves recovery after stroke, but many people in hospital do little activity. Feedback on activity using an accelerometer is a potential method to increase activity in hospital inpatients. This study’s goal is to investigate the effect of feedback, enabled by a Smart watch, on daily physical activity levels during inpatient stroke rehabilitation and the short-term effects on simple functional activities, primarily mobility.

Methods/design

A randomized controlled trial will be undertaken within the stroke rehabilitation wards of the Second Affiliated hospital of Anhui University of Traditional Chinese Medicine, Hefei, China. The study participants will be stroke survivors who meet inclusion criteria for the study, primarily: able to participate, no more than 4 months after stroke and walking independently before stroke. Participants will all receive standard local rehabilitation and will be randomly assigned either to receive regular feedback about activity levels, relative to a daily goal tailored by the smart watch over five time periods throughout a working day, or to no feedback, but still wearing the Smart watch. The intervention will last up to 3 weeks, ending sooner if discharged. The data to be collected in all participants include measures of daily activity (Smart watch measure); mobility (Rivermead Mobility Index and 10-metre walking time); independence in personal care (Barthel Activities of Daily Living (ADL) Index); overall activities (the World Health Organization (WHO) Disability Assessment Scale, 12-item version); and quality of life (the Euro-Qol 5L5D). Data will be collected by assessors blinded to allocation of the intervention at baseline, 3 weeks or at discharge (whichever is the sooner); and a reduced data set will be collected at 12 weeks by telephone interview. The primary outcome will be change in daily accelerometer activity scores. Secondary outcomes are compliance and adherence to wearing the watch, and changes in mobility, independence in personal care activities, and health-related quality of life.

Discussion

This project is being implemented in a large city hospital with limited resources and limited research experience. There has been a pilot feasibility study using the Smart watch, which highlighted some areas needing change and these are incorporated in this protocol.

Trial registration

ClinicalTrials.gov, NCT02587585. Registered on 30 September 2015. Chinese Clinical Trial Registry, ChiCTR-IOR-15007179. Registered on 8 August 2015.

Electronic supplementary material

The online version of this article (10.1186/s13063-018-2476-z) contains supplementary material, which is available to authorized users.

Unsupervised progressive elastic band exercises for frail geriatric inpatients objectively monitored by new exercise-integrated technology-a feasibility trial with an embedded qualitative study

BACKGROUND

Frailty is a serious condition frequently present in geriatric inpatients that potentially causes serious adverse events. Strength training is acknowledged as a means of preventing or delaying frailty and loss of function in these patients. However, limited hospital resources challenge the amount of supervised training, and unsupervised training could possibly supplement supervised training thereby increasing the total exercise dose during admission. A new valid and reliable technology, the BandCizer, objectively measures the exact training dosage performed. The purpose was to investigate feasibility and acceptability of an unsupervised progressive strength training intervention monitored by BandCizer for frail geriatric inpatients.

METHODS

This feasibility trial included 15 frail inpatients at a geriatric ward. At hospitalization, the patients were prescribed two elastic band exercises to be performed unsupervised once daily. A BandCizer Datalogger enabling measurement of the number of sets, repetitions, and time-under-tension was attached to the elastic band. The patients were instructed in performing strength training: 3 sets of 10 repetitions (10-12 repetition maximum (RM)) with a separation of 2-min pauses and a time-under-tension of 8 s. The feasibility criterion for the unsupervised progressive exercises was that 33% of the recommended number of sets would be performed by at least 30% of patients. In addition, patients and staff were interviewed about their experiences with the intervention.

RESULTS

Four (27%) out of 15 patients completed 33% of the recommended number of sets. For the total sample, the average percent of performed sets was 23% and for those who actually trained (n = 12) 26%. Patients and staff expressed a general positive attitude towards the unsupervised training as an addition to the supervised training sessions. However, barriers were also described-especially constant interruptions.

CONCLUSIONS

Based on the predefined criterion for feasibility, the unsupervised training was not feasible, although the criterion was almost met. The patients and staff mainly expressed positive attitudes towards the unsupervised training. As even a small training dosage has been shown to improve the physical performance of geriatric inpatients, the proposed intervention might be relevant if the interruptions are decreased in future large-scale trials and if the adherence is increased.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT02702557, February 29, 2016. Data Protection Agency: 2016-42, February 25, 2016. Ethics Committee: No registration needed, December 8, 2015 (e-mail correspondence).

Reported use of technology in stroke rehabilitation by physical and occupational therapists

PURPOSE

With the patient care experience being a healthcare priority, it is concerning that patients with stroke reported boredom and a desire for greater fostering of autonomy, when evaluating their rehabilitation experience. Technology has the potential to reduce these shortcomings by engaging patients through entertainment and objective feedback. Providing objective feedback has resulted in improved outcomes and may assist the patient in learning how to self-manage rehabilitation. Our goal was to examine the extent to which physical and occupational therapists use technology in clinical stroke rehabilitation home exercise programs.

MATERIALS AND METHODS

Surveys were sent via mail, email and online postings to over 500 therapists, 107 responded.

RESULTS

Conventional equipment such as stopwatches are more frequently used compared to newer technology like Wii and Kinect games. Still, less than 25% of therapists' report using a stopwatch five or more times per week. Notably, feedback to patients is based upon objective data less than 50% of the time by most therapists. At the end of clinical rehabilitation, patients typically receive a written home exercise program and non-technological equipment, like theraband and/or theraputty to continue rehabilitation efforts independently.

CONCLUSIONS

The use of technology is not pervasive in the continuum of stroke rehabilitation. Implications for Rehabilitation The patient care experience is a priority in healthcare, so when patients report feeling bored and desiring greater fostering of autonomy in stroke rehabilitation, it is troubling. Research examining the use of technology has shown positive results for improving motor performance and engaging patients through entertainment and use of objective feedback. Physical and occupational therapists do not widely use technology in stroke rehabilitation. Therapists should consider using technology in stroke rehabilitation to better meet the needs of the patient.