Identity, social engagement and community participation impact physical activity levels of stroke survivors: A mixed-methods study.

OBJECTIVE: To explore how personal characteristics and social engagement impact the physical activity levels of chronic stroke survivors. DESIGN: A mixed-methods study comprising in-depth semi-structured interviews and objective 24-h physical activity monitoring. Interviews were thematically analysed, and activity diaries were compared to activity monitor data to attain a complete picture of physical activity. Triangulation explored the relationship between perceptions, beliefs, activity levels and social engagement. SETTING: Community. PARTICIPANTS: Community-dwelling, independently mobile, adult stroke survivors (n = 19). The mean age was 74 (11 SD) years, 52% female, mean time post-stroke 41 (SD 61) months. MAIN MEASURES: Qualitative and quantitative measures including individual semi-structured interviews, accelerometry, activity diaries, self-efficacy, Frenchay Activities Index and Barthel Index. RESULTS: Individual identity had the greatest perceived influence on post-stroke physical activity. Pre-stroke identity, meaningful activities and family culture contributed to identity; while social and community activities, self-efficacy, co-morbidities, stroke symptoms and exercise, also impacted physical activity. Participants averaged 5365 (IQR 3378-7854) steps per day and reported a mean self-efficacy for exercise score of 51 (SD 20). Triangulation showed convergent relationships between post-stroke physical activity levels and participant motivation, comorbidities, level of social and community participation, self-efficacy and pre-stroke activity levels. CONCLUSION: Personal identity, social engagement and community participation are important factors to consider when implementing a person-centred approach to increasing physical activity participation post-stroke.

Functional Gait Disorders: Clinical presentations, Phenotypes and Implications for treatment.

BACKGROUND: Functional Gait Disorders (FGD) are a common presentation of motor-Functional Neurological Disorders (motor-FND) that affect walking ability. AIM: To provide a narrative review of the current literature on FGD. METHODS: A narrative overview of published literature was undertaken, based on a systematic search of relevant databases, authoritative texts and citation tracking. RESULTS: FGD is multidimensional and disabling, with numerous phenotypes described in the literature, including 'knee buckling,' 'astasia-abasia' and 'excessive slowness.' Motor symptoms such as weakness or tremor, and non-motor symptoms, such as pain and fatigue may contribute to the disability and distress in FGD. Phenotypic features and clinical signs are seen in FGD that demonstrate inconsistency and incongruity with structural disease. A limited number of treatment studies have specifically focussed on FGD, however, reporting of outcomes from motor-FND cohorts has demonstrated short and long-term improvements in walking ability through multidisciplinary rehabilitation. CONCLUSIONS: The relative contribution of motor and non-motor symptoms in FGD remains unknown, but it is likely that non-motor symptoms increase the illness burden and should be considered during assessment and treatment. Recommended treatment for FGD involves multidisciplinary rehabilitation, but optimum treatment elements are yet to be determined.

Walk the Talk: Current Evidence for Walking Recovery After Stroke, Future Pathways and a Mission for Research and Clinical Practice.

Achieving safe, independent, and efficient walking is a top priority for stroke survivors to enable quality of life and future health. This narrative review explores the state of the science in walking recovery after stroke and potential for development. The importance of targeting walking capacity and performance is explored in relation to individual stroke survivor gait recovery, applying a common language, measurement, classification, prediction, current and future intervention development, and health care delivery. Findings are summarized in a model of current and future stroke walking recovery research and a mission statement is set for researchers and clinicians to drive the field forward to improve the lives of stroke survivors and their carers.

Personal and social factors that influence physical activity levels in community-dwelling stroke survivors: A systematic review of qualitative literature.

OBJECTIVES: To determine the personal and social factors perceived to influence physical activity levels in stroke survivors. DATA SOURCES: Four electronic databases (MEDLINE, CINAHL, PubMed and Embase) were searched from inception to November 2020, including reference and citation list searches. STUDY SELECTION: The initial search yielded 1499 papers, with 14 included in the review. Included articles were peer-reviewed, qualitative studies, reporting on the perceived factors influencing physical activity levels of independently mobile community-dwelling adults, greater than 3 months post stroke. DATA EXTRACTION: Data extracted included location, study aim, design, participant and recruitment information and how data were collected and analysed. DATA SYNTHESIS: Thematic analysis was undertaken to identify meanings and patterns, generate codes and develop themes. Five main themes were identified: (i) Social networks are important influencers of physical activity; (ii) Participation in meaningful activities rather than 'exercise' is important; (iii) Self-efficacy promotes physical activity and physical activity enhances self-efficacy; (iv) Pre-stroke identity related to physical activity influences post-stroke physical activity; and (v) Formal programmes are important for those with low self-efficacy or a sedentary pre-stroke identity. CONCLUSIONS: Physical activity levels in stroke survivors are influenced by social activities and support, pre-stroke identity, self-efficacy levels and completion of activities that are meaningful to stroke survivors.

Two Days of Measurement Provides Reliable Estimates of Physical Activity Poststroke: An Observational Study.

OBJECTIVE: The aim of this study was to determine the duration of physical activity (PA) monitoring required for reliable measurements following stroke. DESIGN: Single-center, prospective, observational study. SETTING: PA was measured in a community setting. PARTICIPANTS: Adults (N=70) poststroke. MAIN OUTCOME MEASURES: The SenseWear armband was used to monitor PA for 5 days (≥10 hours wear per day). DATA ANALYSIS: Variance among 2, 3, 4, and 5 days of consecutive measurements for PA variables was examined using intraclass correlation coefficients (ICCs). The minimum number of days to achieve acceptable reliability (ICC ≥0.8) was calculated. Differences between weekdays and weekend days were investigated using paired t tests and Wilcoxon signed rank tests. RESULTS: Two days of measurement was sufficient to achieve an ICC ≥0.8 for daily averages of total energy expenditure, step count, and time spent sedentary (≤1.5 metabolic equivalent tasks [METs]) and in light (1.5-3 METs) and moderate- to vigorous-intensity (>3 METs) PA. At least 3 days were required to achieve an ICC ≥0.8 when investigating the number of and time spent in bouts (≥10 minutes) of moderate to vigorous PA and sedentary behavior. Participants took significantly more steps (P=.03) and spent more time in light PA (P=.03) on weekdays than weekends. CONCLUSION: Following stroke, 2 days of measurement appears sufficient to represent habitual PA for many simple variables. Three or more days may be necessary for reliable estimates of bouts of PA and sedentary behavior. Consistent inclusion or exclusion of a weekend day is recommended for measuring step count and light PA. Short periods of monitoring provide reliable PA information and may make PA measurement more feasible in the clinical setting.

Activity monitors for increasing physical activity in adult stroke survivors.

BACKGROUND: Stroke is the third leading cause of disability worldwide. Physical activity is important for secondary stroke prevention and for promoting functional recovery. However, people with stroke are more inactive than healthy age-matched controls. Therefore, interventions to increase activity after stroke are vital to reduce stroke-related disability. OBJECTIVES: To summarise the available evidence regarding the effectiveness of commercially available, wearable activity monitors and smartphone applications for increasing physical activity levels in people with stroke. SEARCH METHODS: We searched the Cochrane Stroke Group Trials Register, CENTRAL, MEDLINE, Embase, CINAHL, SPORTDiscus, and the following clinical trial registers: WHO International Clinical Trials Registry Platform, Clinical Trials, EU Clinical Trial Register, ISRCTN Registry, Australian and New Zealand Clinical Trial Registry, and Stroke Trials Registry to 3 March 2018. We also searched reference lists, Web of Science forward tracking, and Google Scholar, and contacted trial authors to obtain further data if required. We did not restrict the search on language or publication status. SELECTION CRITERIA: We included all randomised controlled trials (RCTs) and randomised cross-over trials that included use of activity monitors versus no intervention, another type of intervention, or other activity monitor. Participants were aged 18 years or older with a diagnosis of stroke, in hospital or living in the community. Primary outcome measures were steps per day and time in moderate-to-vigorous intensity activity. Secondary outcomes were sedentary time, time spent in light intensity physical activity, walking duration, fatigue, mood, quality of life, community participation and adverse events. We excluded upper limb monitors that only measured upper limb activity. DATA COLLECTION AND ANALYSIS: We followed standard Cochrane methodology to analyse and interpret the data. At least two authors independently screened titles and abstracts for inclusion. We resolved disagreements by consulting a third review author. We extracted the following data from included studies into a standardised template: type of study, participant population, study setting, intervention and co-interventions, time-frame, and outcomes. We graded levels of bias as high, low, or unclear, and assessed the quality of evidence for each outcome using the GRADE approach. MAIN RESULTS: We retrieved 28,098 references, from which we identified 29 potential articles. Four RCTs (in 11 reports) met the inclusion criteria.The sample sizes ranged from 27 to 135 (total 245 participants). Time poststroke varied from less than one week (n = 1), to one to three months (n = 2), or a median of 51 months (n = 1). Stroke severity ranged from a median of one to six on the National Institutes of Health Stroke Scale (NIHSS). Three studies were conducted in inpatient rehabilitation, and one was in a university laboratory. All studies compared use of activity monitor plus another intervention (e.g. a walking retraining programme or an inpatient rehabilitation programme) versus the other intervention alone. Three studies reported on the primary outcome of daily step counts.There was no clear effect for the use of activity monitors in conjunction with other interventions on step count in a community setting (mean difference (MD) -1930 steps, 95% confidence interval (CI) -4410 to 550; 1 RCT, 27 participants; very low-quality evidence), or in an inpatient rehabilitation setting (MD 1400 steps, 95% CI -40 to 2840; 2 RCTs, 83 participants; very low-quality evidence). No studies reported the primary outcome moderate-to-vigorous physical activity, but one did report time spent in moderate and vigorous intensity activity separately: this study reported that an activity monitor in addition to usual inpatient rehabilitation increased the time spent on moderate intensity physical activity by 4.4 minutes per day (95% CI 0.28 to 8.52; 1 RCT, 48 participants; low-quality evidence) compared with usual rehabilitation alone, but there was no clear effect for the use of an activity monitor plus usual rehabilitation for increasing time spent in vigorous intensity physical activity compared to usual rehabilitation (MD 2.6 minutes per day, 95% CI -0.8 to 6; 1 RCT, 48 participants; low-quality evidence). The overall risk of bias was low, apart from high-risk for blinding of participants and study personnel. None of the included studies reported any information relating to adverse effects. AUTHORS' CONCLUSIONS: Only four small RCTs with 274 participants (three in inpatient rehabilitation and one in the community) have examined the efficacy of activity monitors for increasing physical activity after stroke. Although these studies showed activity monitors could be incorporated into practice, there is currently not enough evidence to support the use of activity monitors to increase physical activity after stroke.

"How Do I Test the Waters? How Do I Go Forward?": Codesigning a Supportive Pathway after Critical Illness.

Rationale: Long-term recovery after critical illness can be affected by post-intensive care syndrome (PICS), a significant burden, which can impact return to activities and work. There is a need for streamlined support for intensive care unit (ICU) patients in their recovery while enduring PICS symptoms. Objectives: To explore critical illness recovery from the experiences, perspectives, and beliefs of former ICU patients, their caregivers, and multidisciplinary clinicians to design a future rehabilitation intervention prototype to support ICU patients. Methods: This was an experience-based codesign (EBCD) study underpinned by the Behavior Change Wheel framework involving ICU patients (<5 years after illness), caregivers, and multidisciplinary clinicians with current clinical experience with ICU recovery at any point along the care continuum (ICU, acute, subacute, or community settings) from two metropolitan hospitals in Melbourne, Australia. Two rounds of experience-based codesign workshops were held between August 2021 and February 2022. Workshop content was analyzed via a reflective thematic approach to determine themes and develop an intervention. The intervention was mapped according to the template for intervention description and replication framework. Results: Forty people participated in the codesign process: 15 ICU patients, 2 caregivers, and 23 clinicians. Fifteen major themes were identified in the experience of ICU recovery. Returning home was a key time point for change, acceptance, and adjustment, with the burden of physical limitations and mental health problems becoming apparent. Most participants expressed that PICS was poorly understood in the community, and there was a lack of support to aid recovery. Based on these results, an intervention prototype was developed with a primary goal of improving care after hospital discharge. This was further refined in the second round of workshops. A resource toolkit was deemed most acceptable to end-users, including a hospital-directed support program involving psychology and physical therapy and an accompanying digital health package. Conclusions: A critical time point for more support in the recovery journey was the transition from hospital to home. To address this, a rehabilitation prototype including a physical and psychological support intervention and supporting digital health toolkit was codesigned. The intervention package will be developed and trialed with future ICU patients and their families. Clinical trial registered with www.clinicaltrials.gov (NCT05044221).

Co-designing resources for rehabilitation via telehealth for people with moderate to severe disability post stroke.

OBJECTIVES: The COVID-19 pandemic necessitated rapid transition to telehealth. Telehealth presents challenges for rehabilitation of stroke survivors with moderate-to-severe physical disability, which traditionally relies on physical interactions. The objective was to co-design resources to support delivery of rehabilitation via telehealth for this cohort. DESIGN: Four-stage integrated knowledge translation co-design approach. Stage 1: Research team comprising researchers, clinicians and stroke survivors defined the research question and approach. Stage 2: Workshops and interviews were conducted with knowledge users (participants) to identify essential elements of the program. Stage 3: Resources developed by the research team. Stage 4: Resources reviewed by knowledge users and adapted. PARTICIPANTS: Twenty-one knowledge users (clinicians n = 11, stroke survivors n = 7, caregivers n = 3) RESULTS: All stakeholders emphasised the complexities of telehealth rehabilitation for stroke and the need for individualised programs. Shared decision-making was identified as critical. Potential risks and benefits of telehealth were acknowledged and strategies to ameliorate risks and deliver effective rehabilitation were identified. Four freely available online resources were co-designed; three resources to support clinicians with shared decision-making and risk management and a decision-aid to support stroke survivors and caregivers throughout the process. Over six months, 1129 users have viewed the webpage; clinician resources were downloaded 374 times and the decision-aid was downloaded 570 times. CONCLUSIONS: The co-design process identified key elements for delivery of telehealth rehabilitation to stroke survivors with moderate-to-severe physical disability and led to development of resources to support development of an individualised telehealth rehabilitation plan. Future research should evaluate the effectiveness of these resources. CONTRIBUTION OF PAPER.

The relationship between levels of physical activity and participation in everyday life in stroke survivors: A systematic review and meta-analysis.

BACKGROUND: Stroke survivors demonstrate decreased physical activity (PA) and take time to return to participation in everyday life, but the relationship between the two variables is unknown. OBJECTIVE: To investigate the correlation and trajectory over time between levels of PA and participation in everyday life in stroke survivors. METHODS: PubMed, Web of Science, Scopus, SPORTDiscus, Rehabilitation&Sport Medicine Source, and PEDro databases were searched from inception to January 2024. Cross-sectional and prospective studies evaluating both levels of PA and participation in stroke survivors were included. Two reviewers independently conducted the study selection, data extraction, and quality assessment. Meta-analyses of pooled correlation coefficients were calculated when at least two studies reported a correlation coefficient between the same PA and participation outcomes. RESULTS: Of 4962 studies identified, 49 were included in the systematic review. Studies were rated high (55%%) or fair (45%) quality. A wide range of monitoring methodologies for assessing PA and participation were found in the 23 prospective studies. Seven studies were included in the meta-analyses, showing a positive moderate correlation between PA time and participation in activities of daily living (n = 148; r = 0.52; P < 0.01; I2 = 81%) in participants <6 months post-stroke, and between PA time and the participation in all areas (n = 126; r = 0.44; P < 0.01; I2 = 0%) in participants ≥6 months post-stroke. Overall, while PA showed significant improvements over time, participation only showed a tendency. CONCLUSIONS: Despite the heterogeneity, consistent positive associations were found between PA time and participation levels in some areas. Establishing consensus is crucial to reduce heterogeneity and facilitate data pooling.

Criteria and Indicators for Centers of Clinical Excellence in Stroke Recovery and Rehabilitation: A Global Consensus Facilitated by ISRRA.

BACKGROUND: The aim of the International Stroke Recovery and Rehabilitation Alliance is to create a world where worldwide collaboration brings major breakthroughs for the millions of people living with stroke. A key pillar of this work is to define globally relevant criteria for centers that aspire to deliver excellent clinical rehabilitation and generate exceptional outcomes for patients. OBJECTIVES: This paper presents consensus work conducted with an international group of expert stroke recovery and rehabilitation researchers, clinicians, and people living with stroke to identify and define criteria and measurable indicators for Centers of Clinical Excellence (CoCE) in stroke recovery and rehabilitation. These were intentionally developed to be ambitious and internationally relevant, regardless of a country's development or income status, to drive global improvement in stroke services. METHODS: Criteria and specific measurable indicators for CoCE were collaboratively developed by an international panel of stroke recovery and rehabilitation experts from 10 countries and consumer groups from 5 countries. RESULTS: The criteria and associated indicators, ranked in order of importance, focused upon (i) optimal outcome, (ii) research culture, (iii) working collaboratively with people living with stroke, (iv) knowledge exchange, (v) leadership, (vi) education, and (vii) advocacy. Work is currently underway to user-test the criteria and indicators in 14 rehabilitation centers in 10 different countries. CONCLUSIONS: We anticipate that use of the criteria and indicators could support individual organizations to further develop their services and, more widely, provide a mechanism by which clinical excellence can be articulated and shared to generate global improvements in stroke care.

Intra- and interrater reliability of the Modified Tardieu Scale for the assessment of lower limb spasticity in adults with neurologic injuries.

OBJECTIVE: To examine the intra- and interrater reliability of the Modified Tardieu Scale (MTS) for lower limb assessment of adults with chronic neurologic injuries. DESIGN: Single-center intra- and interrater reliability study. SETTING: Outpatient neurorehabilitation unit. PARTICIPANTS: Adults (N=30; mean age ± SD, 54.1±12.5y) with various chronic neurologic injuries and lower limb spasticity. INTERVENTIONS: Two experienced physiotherapists performed slow (R2) and fast (R1) passive movements for lower limb muscles half an hour apart on the same day (interrater reliability), while a third physiotherapist took goniometric measurements only. One physiotherapist repeated the assessment 1 to 3 days earlier or later (intrarater reliability). Assessors qualitatively rated the resistance to fast passive movements. MAIN OUTCOME MEASURES: Intraclass correlation coefficients (ICCs) and limits of agreement (LOA) were calculated for R1, R2, and R2-R1. Kappa coefficients were calculated for tibialis range of movement and qualitative spasticity ratings. RESULTS: Intra- and interrater R1 and R2 measurements showed moderate to high reliability for the affected hamstrings, rectus femoris, gastrocnemius, soleus (mean ICC ± SD, .79±.08), and tibialis anterior (mean κ ± SD, .58±.10). Only intrarater measurements of the affected tibialis posterior were moderately reliable (R1=.57, R2=.77). Seven of 16 spasticity angle measurements of the affected muscles were moderately reliable. LOA were mostly unacceptably wide. Qualitative spasticity ratings were moderately reliable for affected hamstrings, gastrocnemius, and tibialis muscles (mean κ ± SD, .52±.10). CONCLUSIONS: The MTS is reliable for assessing spasticity in most lower limb muscles of adults with chronic neurologic injuries. Repeated MTS measurements of spasticity are best based on R1 measurements rather than spasticity angle or qualitative ratings of spasticity. Optimally, MTS measurements should be undertaken by the same clinician.

Effectiveness of interventions to increase physical activity in adults with SCI: a systematic review and meta-analysis.

PURPOSE: To determine the effectiveness of interventions to increase physical activity (PA) in people with spinal cord injury (SCI). METHOD: Online databases PubMed, Medline, AMED and CINAHL were searched from the earliest date available to July 2022. Randomised controlled trials (RCT) exploring the effect of interventions on physical activity in people with SCI were eligible. The search identified 1191 studies, after screening 16 reports of 15 RCT's were included. Data were extracted on participant characteristics, intervention characteristics and physical activity outcomes. Methodological quality was assessed using the PEDro Scale and certainty of evidence assessed using GRADE. Post intervention means and standard deviations were pooled in meta-analyses to calculate standardised mean differences or mean differences and 95% confidence intervals. RESULTS: Fifteen trials with 693 participants (mean age 41-52) were included. There was moderate certainty evidence that exercise interventions had no effect on subjectively or objectively measured PA. There was moderate to high certainty evidence that behavioural interventions and combined behavioural and exercise interventions increased subjectively, but not objectively measured physical activity. CONCLUSION: Behaviour change techniques are an important intervention component for increasing PA in people with SCI.IMPLICATIONS FOR REHABILITATIONOnly half of people with spinal cord injury (SCI) meet physical activity guidelinesPhysical activity (PA) is important in managing primary and secondary complicationsExercise intervention alone does not increase PA in people with SCIInterventions should include behavioural techniques to increase PA in people with SCIInterventions that include behavioural techniques are shown to be effective across a wide range of SCI populations.

How should we measure physical activity after stroke? An international consensus.

BACKGROUND: Physical activity is important for secondary stroke prevention. Currently, there is inconsistency of outcomes and tools used to measure physical activity following stroke. AIM: To establish internationally agreed recommendations to enable consistent measurement of post-stroke physical activity. METHODS: Stroke survivors and carers were surveyed online once regarding what is important in physical activity measurement. Three survey rounds with expert stroke researchers and clinicians were conducted using Keeney's Value-Focused Thinking Methodology. Survey 1 identified physical activity tools, outcomes, and measurement considerations which were ranked in Survey 2. Consensus recommendations on tools were then formulated by the consensus group based on survey responses. In Survey 3, participants reviewed ranked results and evidence gathered to determine their support for consensus recommendations. RESULTS: Twenty-five stroke survivors, 5 carers, 18 researchers, and 17 clinicians from 16 countries participated. Time in moderate-vigorous physical activity and step count were identified as the most important outcomes to measure. Key measurement considerations included the ability to measure across frequency, intensity, duration domains in real-world settings; user-friendliness, comfort, and ability to detect changes. Consensus recommendations included using the Actigraph, Actical, and Activ8 devices for physical activity intensity; ActivPAL for duration and Step Activity Monitor for frequency; and the IPAQ and PASE questionnaires. Survey 3 indicated 100% support for device and 96% for questionnaire recommendations. CONCLUSIONS: These consensus recommendations can guide selection of physical activity measurement tools and outcomes. Tool selection will depend on measurement purpose, user-knowledge, and resources. Comprehensive measurement requires the use of devices and questionnaires.

Types of physical activity performed pre and post stroke.

BACKGROUND: The relationship between pre- and post-stroke physical activity levels is underexplored. OBJECTIVE: To determine whether self-reported physical activity changes from pre-stroke to two years post-stroke; and to explore the relationship between self-reported and objectively measured physical activity post-stroke. METHODS: Stroke survivors admitted to rehabilitation were included in this observational study. Participants were assessed at rehabilitation discharge (five months post-stroke) and two years later. Participants were asked about their pre-stroke and current activity levels. The Sensewear Armband was worn for one week to measure physical activity at each timepoint. The relationship between self-reported and objectively measured physical activity was explored with Spearman correlation coefficients and multiple regression models. RESULTS: Sixty-eight stroke survivors (65% male, mean age 64) participated at baseline. Fifty participants reported undertaking physical activity pre-stroke, and 48 of these active participants reported undertaking physical activity two years post-stroke. At two years one third of the active participants reported doing the same type of activity (primarily walking). Approximately one third reported doing the same type of activity and more and approximately one third had to modify the type of activity undertaken. Self-reporting of physical activity time was positively correlated with objective measures of physical activity at two years (r = 0.61, p<0.001). Objectively measured physical activity, age, and sex predicted 26.5% of the variance in self-reported physical activity (p<0.001). CONCLUSION: In this single-site study of relatively able participants, stroke survivors frequently returned to their pre-stroke types of physical activity. A positive correlation between self-reported and objective measures of physical activity was demonstrated, but self-reported activity overestimates objective physical activity post-stroke.

How Many Hours of Device Wear Time Are Required to Accurately Measure Physical Activity Post Stroke?

BACKGROUND: Inadequate physical activity participation is a risk factor for secondary stroke. Before implementing appropriate management strategies, we need to accurately measure the physical activity of stroke survivors. We aimed to determine the duration of physical activity monitoring post-stroke that constitutes a valid day. METHODS: We sampled stroke survivors' physical activity for one week following discharge from inpatient rehabilitation using the Sensewear Armband (Bodymedia, Pittsburgh, PA, USA). To determine the impact of total daily wear time on activity estimate (sedentary, light, and moderate to vigorous physical activity) accuracy, we performed simulations, removing one, two, three, or four hours from a 14-h reference day, and analysed them with linear mixed models. RESULTS: Sixty-nine participants (46 male, 65 ± 15 years) with 271 days of physical activity data were included. All physical activity variables were significantly underestimated for all data sets (10, 11, 12, or 13 h) compared to the 14-h reference data set. The number of days classified as not meeting physical activity recommendations increased as daily monitoring duration decreased: 13% misclassification with 10-h compared to 14-h dataset (p = 0.011). CONCLUSIONS: The accuracy of physical activity estimates increases with longer daily monitoring periods following stroke, and researchers should aim to monitor post-stroke physical activity for 14 daytime hours.

Upper-Limb Motor Intervention Elements That Drive Improvement in Biomarkers and Clinical Measures Post-Stroke: A Systematic Review in a Systems Paradigm.

OBJECTIVE: To use a systems paradigm to examine upper limb (UL) motor intervention elements driving biomarker and clinical measure improvement after stroke. METHODS: Databases were searched up to March 2022. Eligibility screening was completed by 2 authors. Studies using biomarkers and clinical measures pre- and post-upper limb intervention were included. Studies of adjunct interventions (eg, brain stimulation) were excluded. Cochrane Risk-of-Bias tools and Template for Intervention Description and Replication were used to rate studies. Studies were synthesized using a systems paradigm: intervention outcome was considered an emergent property of the systemic interactions of 4 intervention elements (demographics, type, quality, and dose) characterized by individual dimensions. RESULTS: Sixty-four studies (n = 1814 participants) containing 106 intervention groups (66 experimental; 40 control) were included. Combined biomarker and clinical outcomes defined 3 scenarios: restitution, mixed, and unchanged. The restitution scenario included more moderate-to-severely impaired participants in earlier recovery phases (<6 months). Interventions with graded difficulty were more frequently used in the restitution scenario compared with the unchanged scenario. No difference in quality or amount of therapy was identified when examining scenarios that demonstrated restitution compared to those that did not (mixed and unchanged). CONCLUSIONS: A systems paradigm may be one of many approaches to understand UL motor restitution. This review found no single element consistently delivered improvements in biomarkers and clinical measures in the examined intervention groups. Complex patterns formed by multiple interacting intervention elements were observed in participants with and without restitution.

Mobility-Focused Physical Outcome Measures Over Telecommunication Technology (Zoom): Intra and Interrater Reliability Trial.

BACKGROUND: Rehabilitation provided via telehealth offers an alternative to currently limited in-person health care. Effective rehabilitation depends on accurate and relevant assessments that reliably measure changes in function over time. The reliability of a suite of relevant assessments to measure the impact of rehabilitation on physical function is unknown. OBJECTIVE: We aimed to measure the intrarater reliability of mobility-focused physical outcome measures delivered via Zoom (a commonly used telecommunication platform) and interrater reliability, comparing Zoom with in-person measures. METHODS: In this reliability trial, healthy volunteers were recruited to complete 7 mobility-focused outcome measures in view of a laptop, under instructions from a remotely based researcher who undertook the remote evaluations. An in-person researcher (providing the benchmark scores) concurrently recorded their scores. Interrater and intrarater reliability were assessed for Grip Strength, Functional Reach Test, 5-Time Sit to Stand, 3- and 4-Meter Walks and Timed Up and Go, using intraclass correlation coefficients (ICC) and Bland-Altman plots. These tests were chosen because they cover a wide array of physical mobility, strength, and balance constructs; require little to no assistance from a clinician; can be performed in the limits of a home environment; and are likely to be feasible over a telehealth delivery mode. RESULTS: A total of 30 participants (mean age 36.2, SD 12.5 years; n=19, 63% male) completed all assessments. Interrater reliability was excellent for Grip Strength (ICC=0.99) and Functional Reach Test (ICC=0.99), good for 5-Time Sit to Stand (ICC=0.842) and 4-Meter Walk (ICC=0.76), moderate for Timed Up and Go (ICC=0.64), and poor for 3-Meter Walk (ICC=-0.46). Intrarater reliability, accessed by the remote researcher, was excellent for Grip Strength (ICC=0.91); good for Timed Up and Go, 3-Meter Walk, 4-Meter Walk, and Functional Reach (ICC=0.84-0.89); and moderate for 5-Time Sit to Stand (ICC=0.67). Although recorded simultaneously, the following time-based assessments were recorded as significantly longer via Zoom: 5-Time Sit to Stand (1.2 seconds), Timed Up and Go (1.0 seconds), and 3-Meter Walk (1.3 seconds). CONCLUSIONS: Untimed mobility-focused physical outcome measures have excellent interrater reliability between in-person and telehealth measurements. Timed outcome measures took approximately 1 second longer via Zoom, reducing the reliability of tests with a shorter duration. Small time differences favoring in-person attendance are of a similar magnitude to clinically important differences, indicating assessments undertaken using telecommunications technology (Zoom) cannot be compared directly with face-to-face delivery. This has implications for clinicians using blended (ie, some face-to-face and some via the internet) assessments. High intrarater reliability of mobility-focused physical outcome measures has been demonstrated in this study.

Low gait speed is associated with low physical activity and high sedentary time following stroke.

PURPOSE: This study describes physical activity levels and factors associated with physical activity at the end of stroke rehabilitation. METHODS: Primary stroke survivors were assessed at completion of physical rehabilitation. Outcomes included physical activity (e.g. step count, moderate-vigorous physical activity duration) and sedentary time measured with the Sensewear Armband, gait speed, and cognition. The number of participants meeting physical activity recommendations was calculated. Differences in physical activity were examined between household ambulators (gait speed <0.4 m/s), limited community ambulators (0.4-0.8 m/s), and unlimited community ambulators (>0.8 m/s). The influence of age, cognition, and gait speed on physical activity was determined by multiple regression. RESULTS: Seventy-nine stroke survivors participated. Twenty-one participants achieved 30 min/day of moderate-vigorous physical activity accumulated in 10 min bouts. Unlimited community ambulators took more steps/day (median 4975 vs. 469 limited, 355 household, p < 0.001), had higher moderate-vigorous physical activity (median 74 min/day vs. 22 limited, 31 household, p < 0.001) and lower sedentary time (mean 1105 vs. 1239 limited, 1232 household minutes/day, p < 0.001). Age, gait speed, and cognition predicted 21.3% of the variance in moderate-vigorous physical activity (p = 0.001); adding employment status to the model predicted 57.3% of the variance in step count (p < 0.001). CONCLUSIONS: Physical activity is low following stroke and should be a target for treatment, particularly in those with gait speeds ≤0.8 m/s.Implications for rehabilitationSeventy-three percent of stroke survivors performed ≥30 minutes of moderate to vigorous physical activity throughout the day.Twenty-seven percent of stroke survivors accumulated ≥30 minutes of moderate to vigorous physical activity in 10 minute bouts.Despite relatively good physical ability, daily step count was low in this sample.Those with gait speeds ≤0.8 m/s had lower physical activity levels and higher sedentary time.