Effect of affordable technology on physical activity levels and mobility outcomes in rehabilitation: a protocol for the Activity and MObility UsiNg Technology (AMOUNT) rehabilitation trial

Efficacy of dual-task training on stability and function in children with ataxia after medulloblastoma resection: A randomized controlled trial

BACKGROUND/OBJECTIVE

In children, medulloblastoma (MB) is the most prevalent posterior fossa tumor. The first line of treatment is maximal safe resection. Therefore, symptoms of ataxia are commonly seen. Training the brain on balance and cognitive tasks makes balance more automatic than without cognitive tasks. The goal was to assess the effectiveness of dual-task practice on balance after MB excision in children with ataxia.

METHODS

Thirty children with ataxia after MB resection at Children Cancer Hospital Egypt were randomized into two equal groups. Exercises for mobility, balance, and gait training were given to both groups. The research group underwent a specific dual-task program (balance and cognitive). The program ran 3 days per week for 8 weeks. Children were evaluated before and after the treatment regimen using the Scale of Assessment and Rating of Ataxia (SARA), the HUMAC Balance System, Pediatric Balance Scale, and Functional Independent Measurement. All children's legal guardians signed an ethical agreement.

RESULTS

A notable improvement in balance was found in the dual group in Pediatric Balance Scale (PBS) (p = .028) and stability test (p = .0001) in favor of the study group. No discernible difference was observed in the Functional Independent Measurement score among the two groups (p = .158), although there was a statistically significant increase in both groups after treatment.

CONCLUSION

Dual-task program is more effective than traditional physical therapy alone in improving balance in children with ataxia after MB resection.

Economic evaluation of digitally enabled aged and neurological rehabilitation care in the Activity and MObility UsiNg Technology (AMOUNT) trial

OBJECTIVE

To investigate the trial-based cost-effectiveness of the addition of a tailored digitally enabled exercise intervention to usual care shown to be clinically effective in improving mobility in the Activity and MObility UsiNg Technology (AMOUNT) rehabilitation trial compared to usual care alone.

DESIGN

Economic evaluation alongside a pragmatic randomized controlled trial.

PARTICIPANTS

300 people receiving inpatient aged and neurological rehabilitation were randomized to the intervention (n = 149) or usual care control group (n = 151).

MAIN MEASURES

Incremental cost effectiveness ratios were calculated for the additional costs per additional person demonstrating a meaningful improvement in mobility (3-point in Short Physical Performance Battery) and quality-adjusted life years gained at 6 months (primary analysis). The joint probability distribution of costs and outcomes was examined using bootstrapping.

RESULTS

The mean cost saving for the intervention group at 6 months was AU$2286 (95% Bootstrapped cost CI: -$11,190 to $6410) per participant; 68% and 67% of bootstraps showed the intervention to be dominant (i.e. more effective and cost saving) for mobility and quality-adjusted life years, respectively. The probability of the intervention being cost-effective considering a willingness to pay threshold of AU$50,000 per additional person with a meaningful improvement in mobility or quality-adjusted life year gained was 93% and 77%, respectively.

CONCLUSIONS

The AMOUNT intervention had a high probability of being cost-effective if decision makers are willing to pay AU$50,000 per meaningful improvement in mobility or per quality-adjusted life year gained, and a moderate probability of being cost-saving and effective considering both outcomes at 6 months post randomization.

Demographic Characteristics and Digital Platforms for Physical Activity Among the Chinese Residents During the COVID-19 Pandemic: A Mediating Analysis

Background

Aim

Methods

Results

Conclusion

Usability of affordable feedback-based technologies to improve mobility and physical activity in rehabilitation: a mixed methods study

PURPOSE

To explore physiotherapists' views on the usability of feedback-based technologies used in physical rehabilitation.

MATERIALS AND METHODS

A mixed methods study which was nested within a randomised controlled trial to investigate the effectiveness of affordable feedback-based technologies to improve mobility and physical activity within aged care and neurological rehabilitation. Technologies included virtual reality systems, handheld device apps and wearable devices. Physiotherapists (n = 11) who were involved in prescribing technologies during the trial rated the usability of 11 different devices using the System Usability Scale (SUS), then attended a focus group. Descriptive statistics and framework analysis were used for analysis.

RESULTS

Fitbit devices (mean 89.8, SD 9.3), Fysiogaming (mean 75.6, SD 15.3) and Xbox Kinect (mean 75.5, SD 11.2) rated in the acceptable range (>70) on the SUS. Three key factors on usability emerged from the focus groups: (1) Key device features relating to practicalities (ease of set up and use, reliability, safety) and therapeutic benefit (customisation, high active practice time, useful feedback) are important for usability; (2) Usability depends on the context of use; and (3) Usability can be enhanced with technical, clinical, environmental and financial support.

CONCLUSIONS

Health service managers and clinicians should consider key device features identified, contextual factors of their service, and supports available when selecting technologies for use in clinical practice. Further collaboration between clinicians, researchers and technology developers would benefit future technology development, particularly taking into consideration the identified key device features from this study.IMPLICATIONS FOR REHABILITATIONTechnology selection should be based on key device features relating to both practicalities and therapeutic benefit.Contextual factors and available supports should also be considered when selecting technologies.Key usability features identified in this study such as ease of set up, reliability and customisability should be considered in the design of future feedback-based technologies to optimise usability in physical rehabilitation.

Physical activity coaching for adults with mobility limitations: protocol for the ComeBACK pragmatic hybrid effectiveness-implementation type 1 randomised controlled trial

INTRODUCTION

Mobility limitation is common and often results from neurological and musculoskeletal health conditions, ageing and/or physical inactivity. In consultation with consumers, clinicians and policymakers, we have developed two affordable and scalable intervention packages designed to enhance physical activity for adults with self-reported mobility limitations. Both are based on behaviour change theories and involve tailored advice from physiotherapists.

METHODS AND ANALYSIS

This pragmatic hybrid effectiveness-implementation type 1 randomised control trial (n=600) will be undertaken among adults with self-reported mobility limitations. It aims to estimate the effects on physical activity of: (1) an enhanced 6-month intervention package (one face-to-face physiotherapy assessment, tailored physical activity plan, physical activity phone coaching from a physiotherapist, informational/motivational resources and activity monitors) compared with a less intensive 6-month intervention package (single session of tailored phone advice from a physiotherapist, tailored physical activity plan, unidirectional text messages, informational/motivational resources); (2) the enhanced intervention package compared with no intervention (6-month waiting list control group); and (3) the less intensive intervention package compared with no intervention (waiting list control group). The primary outcome will be average steps per day, measured with the StepWatch Activity Monitor over a 1-week period, 6 months after randomisation. Secondary outcomes include other physical activity measures, measures of health and functioning, individualised mobility goal attainment, mental well-being, quality of life, rate of falls, health utilisation and intervention evaluation. The hybrid effectiveness-implementation design (type 1) will be used to enable the collection of secondary implementation outcomes at the same time as the primary effectiveness outcome. An economic analysis will estimate the cost-effectiveness and cost-utility of the interventions compared with no intervention and to each other.

ETHICS AND DISSEMINATION

Ethical approval has been obtained by Sydney Local Health District, Royal Prince Alfred Zone. Dissemination will be via publications, conferences, newsletters, talks and meetings with health managers.

TRIAL REGISTRATION NUMBER

ACTRN12618001983291.

Stroke rehabilitation in low-income and middle-income countries: a call to action

The WHO Rehabilitation 2030 agenda recognises the importance of rehabilitation in the value chain of quality health care. Developing and delivering cost-effective, equitable-access rehabilitation services to the right people at the right time is a challenge for health services globally. These challenges are amplified in low-income and middle-income countries (LMICs), in which the unmet need for rehabilitation and recovery treatments is high. In this Series paper, we outline what is happening more broadly as part of the WHO Rehabilitation 2030 agenda, then focus on the specific challenges to development and implementation of effective stroke rehabilitation services in LMICs. We use stroke rehabilitation clinical practice guidelines from both high-income countries and LMICs to highlight opportunities for rapid uptake of evidence-based practice. Finally, we call on educators and the stroke rehabilitation clinical, research, and not-for-profit communities to work in partnership for greater effect and to accelerate progress.

Activity and MObility UsiNg Technology (AMOUNT) rehabilitation trial - description of device use and physiotherapy support in the post-hospital phase

PURPOSE

To describe device use and physiotherapy support in the post-hospital phase of the AMOUNT rehabilitation trial.

METHODS

We performed an evaluation of the support required for device use by participants randomised to the intervention group who received digitally-enabled rehabilitation in the post-hospital phase (n = 144). Intervention, additional to standard rehabilitation, utilised eight digital devices (virtual reality videogames, activity monitors and handheld computer devices) to improve mobility and increase physical activity. Participants were taught to use devices during inpatient rehabilitation and were then discharged home to use the devices for the remainder of the 6-month trial. Physiotherapist-participant contact occurred every 1-2 weeks using a health coaching approach, including technology support when required. Intervention datasheets were audited, and descriptive statistics used to report device use and support required.

RESULTS

Participants (mean (SD) age 70 (18) years; 49% neurological health conditions) used an average of 2 (SD 1) devices (98% used an activity monitor). Eight percent of physiotherapy contact included technology support with 30% provided remotely. Support addressed 845 issues categorised under initial set-up and instruction (27%), education and training (31%), maintenance (23%) and trouble-shooting (19%).

CONCLUSION

Digital devices can be used for home-based rehabilitation, but ongoing technology support is essential. Clinical Trials Registry: ACTRN12614000936628IMPLICATIONS FOR REHABILITATIONDigital device use at home to support long-term management of health conditions is likely to become increasingly important as the need for rehabilitation increases and rehabilitation resources become more limited.Technology support for set-up and ongoing device use is a critical enabler of home-based digital interventions.Health professionals delivering home-based digital interventions require sufficient training and equipment and may need to vary the mode (e.g., home visit vs. telephone or video conference) depending on the technology support required.

m-SFT: A Novel Mobile Health System to Assess the Elderly Physical Condition

The development of innovative solutions that allow the aging population to remain healthier and independent longer is essential to alleviate the burden that this increasing segment of the population supposes for the long term sustainability of the public health systems. It has been claimed that promoting physical activity could prevent functional decline. However, given the vulnerability of this population, the activity prescription requires to be tailored to the individual's physical condition. We propose mobile Senior Fitness Test (m-SFT), a novel m-health system, that allows the health practitioner to determine the elderly physical condition by implementing a smartphone-based version of the senior fitness test (SFT). The technical reliability of m-SFT has been tested by carrying out a comparative study in seven volunteers (53-61 years) between the original SFT and the proposed m-health system obtaining high agreement (intra-class correlation coefficient (ICC) between 0.93 and 0.99). The system usability has been evaluated by 34 independent health experts (mean = 36.64 years; standard deviation = 6.26 years) by means of the System Usability Scale (SUS) obtaining an average SUS score of 84.4 out of 100. Both results point out that m-SFT is a reliable and easy to use m-health system for the evaluation of the elderly physical condition, also useful in intervention programs to follow-up the patient's evolution.

Digitally enabled aged care and neurological rehabilitation to enhance outcomes with Activity and MObility UsiNg Technology (AMOUNT) in Australia: A randomised controlled trial

BACKGROUND

Digitally enabled rehabilitation may lead to better outcomes but has not been tested in large pragmatic trials. We aimed to evaluate a tailored prescription of affordable digital devices in addition to usual care for people with mobility limitations admitted to aged care and neurological rehabilitation.

METHODS AND FINDINGS

We conducted a pragmatic, outcome-assessor-blinded, parallel-group randomised trial in 3 Australian hospitals in Sydney and Adelaide recruiting adults 18 to 101 years old with mobility limitations undertaking aged care and neurological inpatient rehabilitation. Both the intervention and control groups received usual multidisciplinary inpatient and post-hospital rehabilitation care as determined by the treating rehabilitation clinicians. In addition to usual care, the intervention group used devices to target mobility and physical activity problems, individually prescribed by a physiotherapist according to an intervention protocol, including virtual reality video games, activity monitors, and handheld computer devices for 6 months in hospital and at home. Co-primary outcomes were mobility (performance-based Short Physical Performance Battery [SPPB]; continuous version; range 0 to 3; higher score indicates better mobility) and upright time as a proxy measure of physical activity (proportion of the day upright measured with activPAL) at 6 months. The dataset was analysed using intention-to-treat principles. The trial was prospectively registered with the Australian New Zealand Clinical Trials Registry (ACTRN12614000936628). Between 22 September 2014 and 10 November 2016, 300 patients (mean age 74 years, SD 14; 50% female; 54% neurological condition causing activity limitation) were randomly assigned to intervention (n = 149) or control (n = 151) using a secure online database (REDCap) to achieve allocation concealment. Six-month assessments were completed by 258 participants (129 intervention, 129 control). Intervention participants received on average 12 (SD 11) supervised inpatient sessions using 4 (SD 1) different devices and 15 (SD 5) physiotherapy contacts supporting device use after hospital discharge. Changes in mobility scores were higher in the intervention group compared to the control group from baseline (SPPB [continuous, 0-3] mean [SD]: intervention group, 1.5 [0.7]; control group, 1.5 [0.8]) to 6 months (SPPB [continuous, 0-3] mean [SD]: intervention group, 2.3 [0.6]; control group, 2.1 [0.8]; mean between-group difference 0.2 points, 95% CI 0.1 to 0.3; p = 0.006). However, there was no evidence of a difference between groups for upright time at 6 months (mean [SD] proportion of the day spent upright at 6 months: intervention group, 18.2 [9.8]; control group, 18.4 [10.2]; mean between-group difference -0.2, 95% CI -2.7 to 2.3; p = 0.87). Scores were higher in the intervention group compared to the control group across most secondary mobility outcomes, but there was no evidence of a difference between groups for most other secondary outcomes including self-reported balance confidence and quality of life. No adverse events were reported in the intervention group. Thirteen participants died while in the trial (intervention group: 9; control group: 4) due to unrelated causes, and there was no evidence of a difference between groups in fall rates (unadjusted incidence rate ratio 1.19, 95% CI 0.78 to 1.83; p = 0.43). Study limitations include 15%-19% loss to follow-up at 6 months on the co-primary outcomes, as anticipated; the number of secondary outcome measures in our trial, which may increase the risk of a type I error; and potential low statistical power to demonstrate significant between-group differences on important secondary patient-reported outcomes.

CONCLUSIONS

In this study, we observed improved mobility in people with a wide range of health conditions making use of digitally enabled rehabilitation, whereas time spent upright was not impacted.

TRIAL REGISTRATION

The trial was prospectively registered with the Australian New Zealand Clinical Trials Register; ACTRN12614000936628.

Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis

BACKGROUND

The range of benefits associated with regular physical activity participation is irrefutable. Despite the well-known benefits, physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries. Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation; however, physical activity levels tend to decline over time. Consumer-based wearable activity trackers that allow users to objectively monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active.

OBJECTIVE

This review aimed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback.

METHODS

A systematic review was performed searching the following databases for studies that included the use of a consumer-based wearable activity tracker to improve physical activity participation: Cochrane Controlled Register of Trials, MEDLINE, PubMed, Scopus, Web of Science, Cumulative Index of Nursing and Allied Health Literature, SPORTDiscus, and Health Technology Assessments. Controlled trials of adults comparing the use of a consumer-based wearable activity tracker with other nonactivity tracker-based interventions were included. The main outcome measures were physical activity participation and sedentary behavior. All studies were assessed for risk of bias, and the Grades of Recommendation, Assessment, Development, and Evaluation system was used to rank the quality of evidence. The guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement were followed. A random-effects meta-analysis was completed on the included outcome measures to estimate the treatment effect of interventions that included an activity tracker compared with a control group.

RESULTS

There was a significant increase in daily step count (standardized mean difference [SMD] 0.24; 95% CI 0.16 to 0.33; P<.001), moderate and vigorous physical activity (SMD 0.27; 95% CI 0.15 to 0.39; P<.001), and energy expenditure (SMD 0.28; 95% CI 0.03 to 0.54; P=.03) and a nonsignificant decrease in sedentary behavior (SMD -0.20; 95% CI -0.43 to 0.03; P=.08) following the intervention versus control comparator across all studies in the meta-analyses. In general, included studies were at low risk of bias, except for performance bias. Heterogeneity varied across the included meta-analyses ranging from low (I²=3%) for daily step count through to high (I²=67%) for sedentary behavior.

CONCLUSIONS

Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation. As the effects of physical activity interventions are often short term, the inclusion of a consumer-based wearable activity tracker may provide an effective tool to assist health professionals to provide ongoing monitoring and support.

Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis

BACKGROUND

The range of benefits associated with regular physical activity participation is irrefutable. Despite the well-known benefits, physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries. Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation; however, physical activity levels tend to decline over time. Consumer-based wearable activity trackers that allow users to objectively monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active.

OBJECTIVE

This review aimed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback.

METHODS

A systematic review was performed searching the following databases for studies that included the use of a consumer-based wearable activity tracker to improve physical activity participation: Cochrane Controlled Register of Trials, MEDLINE, PubMed, Scopus, Web of Science, Cumulative Index of Nursing and Allied Health Literature, SPORTDiscus, and Health Technology Assessments. Controlled trials of adults comparing the use of a consumer-based wearable activity tracker with other nonactivity tracker-based interventions were included. The main outcome measures were physical activity participation and sedentary behavior. All studies were assessed for risk of bias, and the Grades of Recommendation, Assessment, Development, and Evaluation system was used to rank the quality of evidence. The guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement were followed. A random-effects meta-analysis was completed on the included outcome measures to estimate the treatment effect of interventions that included an activity tracker compared with a control group.

RESULTS

There was a significant increase in daily step count (standardized mean difference [SMD] 0.24; 95% CI 0.16 to 0.33; P<.001), moderate and vigorous physical activity (SMD 0.27; 95% CI 0.15 to 0.39; P<.001), and energy expenditure (SMD 0.28; 95% CI 0.03 to 0.54; P=.03) and a nonsignificant decrease in sedentary behavior (SMD -0.20; 95% CI -0.43 to 0.03; P=.08) following the intervention versus control comparator across all studies in the meta-analyses. In general, included studies were at low risk of bias, except for performance bias. Heterogeneity varied across the included meta-analyses ranging from low (I2=3%) for daily step count through to high (I2=67%) for sedentary behavior.

CONCLUSIONS

Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation. As the effects of physical activity interventions are often short term, the inclusion of a consumer-based wearable activity tracker may provide an effective tool to assist health professionals to provide ongoing monitoring and support.

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.

Interventions for preventing falls in older people in care facilities and hospitals

BACKGROUND

Falls in care facilities and hospitals are common events that cause considerable morbidity and mortality for older people. This is an update of a review first published in 2010 and updated in 2012.

OBJECTIVES

To assess the effects of interventions designed to reduce the incidence of falls in older people in care facilities and hospitals.

SEARCH METHODS

We searched the Cochrane Bone, Joint and Muscle Trauma Group Specialised Register (August 2017); Cochrane Central Register of Controlled Trials (2017, Issue 8); and MEDLINE, Embase, CINAHL and trial registers to August 2017.

SELECTION CRITERIA

Randomised controlled trials of interventions for preventing falls in older people in residential or nursing care facilities, or hospitals.

DATA COLLECTION AND ANALYSIS

One review author screened abstracts; two review authors screened full-text articles for inclusion. Two review authors independently performed study selection, 'Risk of bias' assessment and data extraction. We calculated rate ratios (RaR) with 95% confidence intervals (CIs) for rate of falls and risk ratios (RRs) and 95% CIs for outcomes such as risk of falling (number of people falling). We pooled results where appropriate. We used GRADE to assess the quality of evidence.

MAIN RESULTS

Thirty-five new trials (77,869 participants) were included in this update. Overall, we included 95 trials (138,164 participants), 71 (40,374 participants; mean age 84 years; 75% women) in care facilities and 24 (97,790 participants; mean age 78 years; 52% women) in hospitals. The majority of trials were at high risk of bias in one or more domains, mostly relating to lack of blinding. With few exceptions, the quality of evidence for individual interventions in either setting was generally rated as low or very low. Risk of fracture and adverse events were generally poorly reported and, where reported, the evidence was very low-quality, which means that we are uncertain of the estimates. Only the falls outcomes for the main comparisons are reported here.Care facilitiesSeventeen trials compared exercise with control (typically usual care alone). We are uncertain of the effect of exercise on rate of falls (RaR 0.93, 95% CI 0.72 to 1.20; 2002 participants, 10 studies; I² = 76%; very low-quality evidence). Exercise may make little or no difference to the risk of falling (RR 1.02, 95% CI 0.88 to 1.18; 2090 participants, 10 studies; I² = 23%; low-quality evidence).There is low-quality evidence that general medication review (tested in 12 trials) may make little or no difference to the rate of falls (RaR 0.93, 95% CI 0.64 to 1.35; 2409 participants, 6 studies; I² = 93%) or the risk of falling (RR 0.93, 95% CI 0.80 to 1.09; 5139 participants, 6 studies; I² = 48%).There is moderate-quality evidence that vitamin D supplementation (4512 participants, 4 studies) probably reduces the rate of falls (RaR 0.72, 95% CI 0.55 to 0.95; I² = 62%), but probably makes little or no difference to the risk of falling (RR 0.92, 95% CI 0.76 to 1.12; I² = 42%). The population included in these studies had low vitamin D levels.Multifactorial interventions were tested in 13 trials. We are uncertain of the effect of multifactorial interventions on the rate of falls (RaR 0.88, 95% CI 0.66 to 1.18; 3439 participants, 10 studies; I² = 84%; very low-quality evidence). They may make little or no difference to the risk of falling (RR 0.92, 95% CI 0.81 to 1.05; 3153 participants, 9 studies; I² = 42%; low-quality evidence).HospitalsThree trials tested the effect of additional physiotherapy (supervised exercises) in rehabilitation wards (subacute setting). The very low-quality evidence means we are uncertain of the effect of additional physiotherapy on the rate of falls (RaR 0.59, 95% CI 0.26 to 1.34; 215 participants, 2 studies; I² = 0%), or whether it reduces the risk of falling (RR 0.36, 95% CI 0.14 to 0.93; 83 participants, 2 studies; I² = 0%).We are uncertain of the effects of bed and chair sensor alarms in hospitals, tested in two trials (28,649 participants) on rate of falls (RaR 0.60, 95% CI 0.27 to 1.34; I² = 0%; very low-quality evidence) or risk of falling (RR 0.93, 95% CI 0.38 to 2.24; I² = 0%; very low-quality evidence).Multifactorial interventions in hospitals may reduce rate of falls in hospitals (RaR 0.80, 95% CI 0.64 to 1.01; 44,664 participants, 5 studies; I² = 52%). A subgroup analysis by setting suggests the reduction may be more likely in a subacute setting (RaR 0.67, 95% CI 0.54 to 0.83; 3747 participants, 2 studies; I² = 0%; low-quality evidence). We are uncertain of the effect of multifactorial interventions on the risk of falling (RR 0.82, 95% CI 0.62 to 1.09; 39,889 participants; 3 studies; I² = 0%; very low-quality evidence).

AUTHORS' CONCLUSIONS

In care facilities: we are uncertain of the effect of exercise on rate of falls and it may make little or no difference to the risk of falling. General medication review may make little or no difference to the rate of falls or risk of falling. Vitamin D supplementation probably reduces the rate of falls but not risk of falling. We are uncertain of the effect of multifactorial interventions on the rate of falls; they may make little or no difference to the risk of falling.In hospitals: we are uncertain of the effect of additional physiotherapy on the rate of falls or whether it reduces the risk of falling. We are uncertain of the effect of providing bed sensor alarms on the rate of falls or risk of falling. Multifactorial interventions may reduce rate of falls, although subgroup analysis suggests this may apply mostly to a subacute setting; we are uncertain of the effect of these interventions on risk of falling.

Patient and therapist experiences of using affordable feedback-based technology in rehabilitation: a qualitative study nested in a randomized controlled trial

Objective:

To explore how technologies are used and experienced in rehabilitation.

Design:

A qualitative study using a grounded theory approach within a randomized controlled trial investigating the effectiveness of tailored, affordable technologies to improve mobility and physical activity.

Settings:

Aged care and neurological rehabilitation wards with community follow-up.

Participants:

Twenty patients undergoing rehabilitation and randomized to the experimental arm of a trial (mean age 64 years (SD 23)) were recruited for interviews, plus 11 physiotherapists involved in technology prescription as part of the trial.

Method:

Two interviews per patient (one in hospital, one post-discharge) and four focus groups with physiotherapists were conducted. Transcribed data were coded and synthesized. Memo-writing and constant comparison methods guided data analysis.

Results:

A process of patient engagement with technology involving two stages: (1) initial patient engagement and (2) maintaining patient engagement was identified. Therapists used a series of steps and strategies to gain and maintain patient engagement. A positive first experience and continued input into patient programmes was needed. The level of patient engagement was not consistent across the duration of the trial, increasing or decreasing due to changes in the technologies prescribed or setting of use. Two conditions were key to optimizing patient engagement: sufficient support and perceived benefit from using technology.

Conclusions:

Patients can engage with technology during rehabilitation when prescription is tailored by a therapist. Perceiving benefit from using technology, in addition to receiving the right support to enable use appears to influence the level of patient engagement.

Patients Using an Online Forum for Reporting Progress When Engaging With a Six-Week Exercise Program for Knee Conditioning: Feasibility Study

BACKGROUND

The use of electronic health (eHealth) and Web-based resources for patients with knee pain is expanding. Padlet is an online noticeboard that can facilitate patient interaction by posting virtual “sticky notes.”

OBJECTIVE

The primary aim of this study was to determine feasibility of patients in a 6-week knee exercise program using Padlet as an online forum for self-reporting on outcome progression.

METHODS

Undergraduate manual therapy students were recruited as part of a 6-week study into knee conditioning. Participants were encouraged to post maximum effort readings from quadriceps and gluteal home exercises captured from standard bathroom scales on a bespoke Padlet. Experience and progression reporting were encouraged. Posted data were analyzed for association between engagement, entry frequency, and participant characteristics. Individual data facilitated single-subject, multiple-baseline analysis using statistical process control. Experiential narrative was analyzed thematically.

RESULTS

Nineteen participants were recruited (47%, 9/19 female); ages ranged from 19 to 53 years. Twelve individuals (63%) opted to engage with the forum (range 4-40 entries), with five (42%) reporting across all 6 weeks. Gender did not influence reporting (odds ratio [OR] 0.76, 95% CI 0.06-6.93). No significant difference manifested between body mass index and engagement P=.46); age and entry frequency did not correlate (R²=.054, 95% CI –0.42 to 0.51, P=.83). Statistically significant conditioning profiles arose in single participants. Themes of pain, mitigation, and response were inducted from the experiences posted.

CONCLUSIONS

Patients will engage with an online forum for reporting progress when undertaking exercise programs. In contrast to related literature, no significant association was found with reporting and gender, age, or body mass index. Individual posted data allowed multiple-baseline analysis and experiential induction from participants. Conditioning responses were evident on visual inspection. The importance of individualized visual data to patients and the role of forums in monitoring patients’ progress in symptomatic knee pain populations need further consideration.

Promise of Wearable Physical Activity Monitors in Oncology Practice

Commercially available physical activity monitors provide clinicians an opportunity to obtain oncology patient health measures to an unprecedented degree. These devices can provide objective and quantifiable measures of physical activity, which are not subject to errors or bias of self-reporting or shorter duration of formal testing. Prior work on so-called quantified-self data was based on older-generation, research-grade accelerometers, which laid the foundation for consumer-based physical activity monitoring devices to be validated as a feasible and reliable tool in patients with cancer. Physical activity monitors are being used in chronic conditions including chronic obstructive pulmonary disease, congestive heart failure, diabetes mellitus, and obesity. Differing demographics, compounded with higher symptom and treatment burdens in patients with cancer, imply that additional work is needed to understand the unique strengths and weaknesses of physical activity monitors in this population. Oncology programs can systematically implement these tools into their workflows in an adaptable and iterative manner. Translating large amounts of data collected from an individual physical activity monitoring device into clinically relevant information requires sophisticated data compilation and reduction. In this article, we summarize the characteristics of older- and newer-generation physical activity monitors, review the validation of physical activity monitors with respect to health-related quality-of-life assessments, and describe the current role of these devices for the practicing oncologist. We also highlight the challenges and next steps needed for physical activity monitors to provide relevant information that can change the current state of oncology practice.

Family-led rehabilitation after stroke in India (ATTEND): a randomised controlled trial

BACKGROUND

Most people with stroke in India have no access to organised rehabilitation services. The effectiveness of training family members to provide stroke rehabilitation is uncertain. Our primary objective was to determine whether family-led stroke rehabilitation, initiated in hospital and continued at home, would be superior to usual care in a low-resource setting.

METHODS

The Family-led Rehabilitation after Stroke in India (ATTEND) trial was a prospectively randomised open trial with blinded endpoint done across 14 hospitals in India. Patients aged 18 years or older who had had a stroke within the past month, had residual disability and reasonable expectation of survival, and who had an informal family-nominated caregiver were randomly assigned to intervention or usual care by site coordinators using a secure web-based system with minimisation by site and stroke severity. The family members of participants in the intervention group received additional structured rehabilitation training-including information provision, joint goal setting, carer training, and task-specific training-that was started in hospital and continued at home for up to 2 months. The primary outcome was death or dependency at 6 months, defined by scores 3-6 on the modified Rankin scale (range, 0 [no symptoms] to 6 [death]) as assessed by masked observers. Analyses were by intention to treat. This trial is registered with Clinical Trials Registry-India (CTRI/2013/04/003557), Australian New Zealand Clinical Trials Registry (ACTRN12613000078752), and Universal Trial Number (U1111-1138-6707).

FINDINGS

Between Jan 13, 2014, and Feb 12, 2016, 1250 patients were randomly assigned to intervention (n=623) or control (n=627) groups. 33 patients were lost to follow-up (14 intervention, 19 control) and five patients withdrew (two intervention, three control). At 6 months, 285 (47%) of 607 patients in the intervention group and 287 (47%) of 605 controls were dead or dependent (odds ratio 0·98, 95% CI 0·78-1·23, p=0·87). 72 (12%) patients in the intervention group and 86 (14%) in the control group died (p=0·27), and we observed no difference in rehospitalisation (89 [14%]patients in the intervention group vs 82 [13%] in the control group; p=0·56). We also found no difference in total non-fatal events (112 events in 82 [13%] intervention patients vs 110 events in 79 [13%] control patients; p=0·80).

INTERPRETATION

Although task shifting is an attractive solution for health-care sustainability, our results do not support investment in new stroke rehabilitation services that shift tasks to family caregivers, unless new evidence emerges. A future avenue of research should be to investigate the effects of task shifting to health-care assistants or team-based community care.

FUNDING

The National Health and Medical Research Council of Australia.