Interventions for the uptake of evidence-based recommendations in acute stroke settings.

BACKGROUND: There is a growing body of research evidence to guide acute stroke care. Receiving care in a stroke unit improves access to recommended evidence-based therapies and patient outcomes. However, even in stroke units, evidence-based recommendations are inconsistently delivered by healthcare workers to patients with stroke. Implementation interventions are strategies designed to improve the delivery of evidence-based care. OBJECTIVES: To assess the effects of implementation interventions (compared to no intervention or another implementation intervention) on adherence to evidence-based recommendations by health professionals working in acute stroke units. Secondary objectives were to assess factors that may modify the effect of these interventions, and to determine if single or multifaceted strategies are more effective in increasing adherence with evidence-based recommendations. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, CINAHL, Joanna Briggs Institute and ProQuest databases to 13 April 2022. We searched the grey literature and trial registries and reviewed reference lists of all included studies, relevant systematic reviews and primary studies; contacted corresponding authors of relevant studies and conducted forward citation searching of the included studies. There were no restrictions on language and publication date. SELECTION CRITERIA: We included randomised trials and cluster-randomised trials. Participants were health professionals providing care to patients in acute stroke units; implementation interventions (i.e. strategies to improve delivery of evidence-based care) were compared to no intervention or another implementation intervention. We included studies only if they reported on our primary outcome which was quality of care, as measured by adherence to evidence-based recommendations, in order to address the review aim. DATA COLLECTION AND ANALYSIS: Two review authors independently selected studies for inclusion, extracted data and assessed risk of bias and certainty of evidence using GRADE. We compared single implementation interventions to no intervention, multifaceted implementation interventions to no intervention, multifaceted implementation interventions compared to single implementation interventions and multifaceted implementation interventions to another multifaceted intervention. Our primary outcome was adherence to evidence-based recommendations. MAIN RESULTS: We included seven cluster-randomised trials with 42,489 patient participants from 129 hospitals, conducted in Australia, the UK, China, and the Netherlands. Health professional participants (numbers not specified) included nursing, medical and allied health professionals. Interventions in all studies included implementation strategies targeting healthcare workers; three studies included delivery arrangements, no studies used financial arrangements or governance arrangements. Five trials compared a multifaceted implementation intervention to no intervention, two trials compared one multifaceted implementation intervention to another multifaceted implementation intervention. No included studies compared a single implementation intervention to no intervention or to a multifaceted implementation intervention. Quality of care outcomes (proportions of patients receiving evidence-based care) were included in all included studies. All studies had low risks of selection bias and reporting bias, but high risk of performance bias. Three studies had high risks of bias from non-blinding of outcome assessors or due to analyses used. We are uncertain whether a multifaceted implementation intervention leads to any change in adherence to evidence-based recommendations compared with no intervention (risk ratio (RR) 1.73; 95% confidence interval (CI) 0.83 to 3.61; 4 trials; 76 clusters; 2144 participants, I2 =92%, very low-certainty evidence). Looking at two specific processes of care, multifaceted implementation interventions compared to no intervention probably lead to little or no difference in the proportion of patients with ischaemic stroke who received thrombolysis (RR 1.14, 95% CI 0.94 to 1.37, 2 trials; 32 clusters; 1228 participants, moderate-certainty evidence), but probably do increase the proportion of patients who receive a swallow screen within 24 hours of admission (RR 6.76, 95% CI 4.44 to 10.76; 1 trial; 19 clusters; 1,804 participants; moderate-certainty evidence). Multifaceted implementation interventions probably make little or no difference in reducing the risk of death, disability or dependency compared to no intervention (RR 0.93, 95% CI 0.85 to 1.02; 3 trials; 51 clusters ; 1228 participants; moderate-certainty evidence), and probably make little or no difference to hospital length of stay compared with no intervention (difference in absolute change 1.5 days; 95% CI -0.5 to 3.5; 1 trial; 19 clusters; 1804 participants; moderate-certainty evidence). We do not know if a multifaceted implementation intervention compared to no intervention result in changes to resource use or health professionals' knowledge because no included studies collected these outcomes. AUTHORS' CONCLUSIONS: We are uncertain whether a multifaceted implementation intervention compared to no intervention improves adherence to evidence-based recommendations in acute stroke settings, because the certainty of evidence is very low.

Depression and a lack of socialization are associated with high levels of boredom during stroke rehabilitation: An exploratory study using a new conceptual framework.

This exploratory sub-study aimed to develop a framework to conceptualize boredom in stroke survivors during inpatient rehabilitation, establish the effect of an activity promotion intervention on boredom, and to investigate factors that are associated with boredom. A framework was developed and explored within a cluster non-randomised controlled trial. Self-reported boredom was measured in 160 stroke survivors 13 (±5) days after rehabilitation admission; 91 participants received usual-care (control) and 69 had access to a patient-driven model of activity promotion (intervention). Individuals with pre-existing dementia or unable to participate in standard rehabilitation were excluded. Hierarchical logistic regression analysis was used to identify demographic, health and activity measures associated with boredom. Results indicated 39% of participants were highly bored. There was no statistically significant difference in boredom levels between treatment groups (difference -11%, 95% CI -26% to 4%). The presence of depression (OR 6.17, 95% CI 2.57-14.79) and lower levels of socialization (OR 0.96, 95% CI 0.92-0.99) predicted high boredom levels. This comprehensive framework provides a foundation for understanding the many interacting factors associated with boredom. Results suggest managing depression and improving opportunities for socialization may support meaningful engagement in rehabilitation to optimize recovery following stroke.

Physical Activity After Transient Ischemic Attack or Mild Stroke Is Business as Usual.

BACKGROUND AND PURPOSE: Regular, sustained moderate-to-vigorous physical activity (MVPA) is a recommended strategy to reduce the risk of recurrent stroke for people who have had transient ischemic attack (TIA) or mild stroke. This study aimed to explore attitudes toward, and experience of engaging in physical activity by adults following a TIA or mild stroke. METHODS: Constructivist grounded theory methodology informed data collection and analysis. Interviews from 33 adults with TIA or mild stroke (mean age 65 [SD 10] years, 48% female, 40% TIA) were collected. RESULTS: Business as usual characterized physical activity engagement post-TIA or mild stroke. Most participants returned to prestroke habits, as either regular exerciser or nonexerciser, with only a small number making changes. Influencing factors for physical activity participation included information, challenges, strategies, and support. Business as usual was associated with a perceived lack of information to suggest a need to change behaviors. Nonexercisers and those who decreased physical activity emphasized challenges to physical activity, while regular exercisers and those who increased physical activity focused on strategies and support that enabled participation despite challenges. DISCUSSION AND CONCLUSION: Information about the necessity to engage in recommended physical activity levels requires tailoring to the needs of the people with TIA or mild stroke. Helpful information in combination with support and strategies may guide how to navigate factors preventing engagement and might influence the low level of physical activity prevalent in this population.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1 available at: http://links.lww.com/JNPT/A376).

Investigation of the implementation of a Communication Enhanced Environment model on an acute/slow stream rehabilitation and a rehabilitation ward: A before-and-after pilot study.

OBJECTIVES: Develop and implement a Communication Enhanced Environment model and explore its effect on language activities for patients early after stroke. METHOD AND DESIGN: Before-and-after pilot study. SETTING: An acute/slow stream rehabilitation and a rehabilitation ward in a private hospital in Perth, Western Australia. PARTICIPANTS: Fourteen patients recruited within 21 days of stroke. Seven recruited during the before-phase (control group: patients with aphasia = 3, patients without aphasia = 4) and seven recruited in the after-phase (intervention group: patients with aphasia = 4, patients without aphasia = 3). INTERVENTION: The intervention group exposed to a Communication Enhanced Environment model had access to equipment, resources, planned social activities and trained communication partners. Both groups received usual stroke care. DATA COLLECTION: Hospital site champions monitored the availability of the intervention. Behavioural mapping completed during the first minute of each 5-minute interval over 12 hours (between 7 am and 7 pm) determined patient engagement in language activities. RESULTS: Seventy-one percent of the Communication Enhanced Environment model was available to the intervention group who engaged in higher, but not significant (95% CI), levels of language activities (600 of 816 observation time points, 73%) than the control group (551 of 835 observation time points, 66%). Unforeseen reorganisation of the acute ward occurred during the study. CONCLUSIONS: Implementation of a Communication Enhanced Environment model was feasible in this specific setting and may potentially influence patients' engagement in language activities. The unforeseen contextual challenges that occurred during the study period demonstrate the challenging nature of the hospital environment and will be useful in future research planning.

Stroke survivors' perceptions of the factors that influence engagement in activity outside dedicated therapy sessions in a rehabilitation unit: A qualitative study.

OBJECTIVE: To investigate stroke survivors' perceptions of factors influencing their engagement in activity outside of dedicated therapy sessions during inpatient rehabilitation. DESIGN: Qualitative study. SETTING: Four metropolitan rehabilitation units in Australia. PARTICIPANTS: People undertaking inpatient rehabilitation after stroke. METHODS: Semi-structured interviews conducted in person by a speech pathologist A stepped iterative process of inductive analysis was employed until data saturation was achieved with themes then applied against the three domains of the Theory of Planned Behaviour (perceived behavioural control, social norms and attitude). RESULTS: Interviews of 33 stroke survivors (60% female, median age of 73 years) revealed five themes (i) uncertainty about how to navigate and what was available for use in the rehabilitation unit restricts activity and (ii) post-stroke mobility, fatigue and pre- and post-stroke communication impairments restrict activity (perceived behavioural control); (iii) unit set up, rules (perceived and actual) and staff expectations influence activity and (iv) visiting family and friends are strong facilitators of activity (social norms), and (v) personal preferences and mood influence level of activity (attitude). CONCLUSION: At the individual level, stroke survivors perceived that their ability to be active outside of dedicated therapy sessions was influenced by their impairments, including mood, and their attitude towards and preference for activity. At the ward level, stroke survivors perceived that their ability to be active was influenced by ward set-up, rules and staff expectations. Visitors were perceived to be important facilitators of activity outside of therapy sessions.

Fit for purpose. Co-production of complex behavioural interventions. A practical guide and exemplar of co-producing a telehealth-delivered exercise intervention for people with stroke.

BACKGROUND: Careful development of interventions using principles of co-production is now recognized as an important step for clinical trial development, but practical guidance on how to do this in practice is lacking. This paper aims (1) provide practical guidance for researchers to co-produce interventions ready for clinical trial by describing the 4-stage process we followed, the challenges experienced and practical tips for researchers wanting to co-produce an intervention for a clinical trial; (2) describe, as an exemplar, the development of our intervention package. METHOD: We used an Integrated Knowledge Translation (IKT) approach to co-produce a telehealth-delivered exercise program for people with stroke. The 4-stage process comprised of (1) a start-up planning phase with the co-production team. (2) Content development with knowledge user informants. (3) Design of an intervention protocol. (4) Protocol refinement. RESULTS AND REFLECTIONS: The four stages of intervention development involved an 11-member co-production team and 32 knowledge user informants. Challenges faced included balancing conflicting demands of different knowledge user informant groups, achieving shared power and collaborative decision making, and optimising knowledge user input. Components incorporated into the telehealth-delivered exercise program through working with knowledge user informants included: increased training for intervention therapists; increased options to tailor the intervention to participant's needs and preferences; and re-naming of the program. Key practical tips include ways to minimise the power differential between researchers and consumers, and ensure adequate preparation of the co-production team. CONCLUSION: Careful planning and a structured process can facilitate co-production of complex interventions ready for clinical trial.

Secondary Prevention of Stroke: Study Protocol for a Telehealth-Delivered Physical Activity and Diet Pilot Randomized Trial (ENAbLE-Pilot).

BACKGROUND: Increasing physical activity (PA) and improving diet quality are opportunities to improve secondary stroke prevention, but access to appropriate services is limited. Interventions co-designed with stroke survivors and delivered by telehealth are a potential solution. AIM: The aim of this study is to test the feasibility, safety, and potential efficacy of a 6-month, telehealth-delivered PA and/or dietary (DIET) intervention. METHODS: Pilot randomized trial. 80 adults with previous stroke who are living at home with Internet access and able to exercise will be randomized in a 2 × 2 factorial (4-arm) pilot randomized, open-label, blinded outcome assessment trial to receive PA, DIET, PA + DIET, or control interventions via telehealth. The PA intervention aims to support participants to meet the minimum recommended levels of PA (150 min/week moderate exercise), and the DIET intervention aims to support participants to follow the AusMed (Mediterranean-style) diet. The control group receives usual care plus education about PA and healthy eating. The co-primary outcomes are feasibility (proportion and characteristics of eligible participants enrolled and proportion of scheduled intervention sessions attended) and safety (adverse events) at 6 months. The secondary outcomes include recurrent stroke risk factors (blood pressure, physical activity levels, and diet quality), fatigue, mood, and quality of life. Outcomes are measured at 3, 6, and 12 months. CONCLUSION: This trial will produce evidence for the feasibility, safety, and potential effect of telehealth-delivered PA and DIET interventions for people with stroke. Results will inform development of an appropriately powered trial to test effectiveness to reduce major risk factors for recurrent stroke. TRIAL REGISTRATION: ACTRN12620000189921.

Regulatory aspects of the development of drugs for metabolic bone diseases - FDA and EMA perspective.

Regulation of medicines involves complex scientific and public health policies which are reflected in the regulatory approaches used by the European Medicines Agency and the United States Food and Drug Administration for the approval of products developed for metabolic bone diseases. For osteoporosis therapies, utilized by many patients, the approaches and existing guidance for product development of both agencies are similar; confirmatory studies for the approval of osteoporosis products can rely on well-defined efficacy outcome parameters. Therapeutics for rare bone diseases, a rapidly expanding area, often require an individualized regulatory approach. This review outlines key aspects of these regulatory approaches applied by the two agencies for products for metabolic bone diseases.

Participation, Fear of Falling, and Upper Limb Impairment are Associated with High Sitting Time in People with Stroke.

The purpose of this cross-sectional, exploratory study was to explore associations between sitting time and (1) participation, (2) fear of falling, and (3) upper limb impairment after stroke. High sitting time was associated with less participation in meaningful activities involving standing or walking (ρ = -0.519, p = 0.023). A greater fear of falling (ρ = 0.579, p = 0.012) and having an impaired upper limb (mean difference 18.7%, 95% CI: 5.3-32.1, p = 0.012) were associated with greater sitting time. Providing support for stroke survivors to participate in meaningful activities while reducing sitting time is an important consideration when planning occupational therapy interventions, particularly for individuals with an arm impairment and/or those with a fear of falling.

The European Medicines Agency's approval of new medicines for type 2 diabetes.

Since 2005, more than 40 new medicines for the treatment of type 2 diabetes have been introduced on the market. These consist of 15 new active substances establishing three new classes of non-insulin products, and several new or modified insulin products and combinations. The approval of these products in Europe is regulated via the centralized procedure at the European Medicines Agency. Demonstration of benefit with regard to improved glucose control remains the principal outcome required from confirmatory studies to demonstrate efficacy. For the majority of these new medicines approved since 2005, cardiovascular outcome trials have now been completed, and have invariably supported the cardiovascular safety of these products. In some of these trials additional important benefits have been observed, for instance, a reduction in major adverse cardiovascular events and improvement of renal outcome. The existing regulatory framework and the continuous adaption of regulatory requirements to emerging developments will continue to guide the approval of new products in the future.

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.

Embedding an enriched environment in an acute stroke unit increases activity in people with stroke: a controlled before-after pilot study.

OBJECTIVES: To determine whether an enriched environment embedded in an acute stroke unit could increase activity levels in acute stroke patients and reduce adverse events. DESIGN: Controlled before-after pilot study. SETTING: An acute stroke unit in a regional Australian hospital. PARTICIPANTS: Acute stroke patients admitted during (a) initial usual care control period, (b) an enriched environment period and (c) a sustainability period. INTERVENTION: Usual care participants received usual one-on-one allied health intervention and nursing care. The enriched environment participants were provided stimulating resources, communal areas for eating and socializing and daily group activities. Change management strategies were used to implement an enriched environment within existing staffing levels. MAIN MEASURES: Behavioural mapping was used to estimate patient activity levels across groups. Participants were observed every 10 minutes between 7.30 am and 7.30 pm within the first 10 days after stroke. Adverse and serious adverse events were recorded using a clinical registry. RESULTS: The enriched environment group ( n = 30, mean age 76.7 ± 12.1) spent a significantly higher proportion of their day engaged in 'any' activity (71% vs. 58%, P = 0.005) compared to the usual care group ( n = 30, mean age 76.0 ± 12.8). They were more active in physical (33% vs. 22%, P < 0.001), social (40% vs. 29%, P = 0.007) and cognitive domains (59% vs. 45%, P = 0.002) and changes were sustained six months post implementation. The enriched group experienced significantly fewer adverse events (0.4 ± 0.7 vs.1.3 ± 1.6, P = 0.001), with no differences found in serious adverse events (0.5 ± 1.6 vs.1.0 ± 2.0, P = 0.309). CONCLUSIONS: Embedding an enriched environment in an acute stroke unit increased activity in stroke patients.

Early Mobilization after Stroke: Changes in Clinical Opinion Despite an Unchanging Evidence Base.

BACKGROUND: We sought to determine whether Australasian health professionals' opinions regarding early mobilization after stroke changed between 2008 and 2014, when a large international trial of early mobilization (A Very Early Rehabilitation Trial, AVERT) was underway. METHODS: Attendees at the two major Australasian stroke conferences in 2008 and 2014 were surveyed. Participants rated their agreement with statements about the risks and benefits of commencing mobilization within 24 hours of hemorrhagic and ischemic stroke using a 5-point Likert scale. Participants in 2014 were asked about their awareness of AVERT. Logistic regressions were performed to determine whether the time point (2008 versus 2014) or awareness of AVERT influenced opinions about early mobilization. RESULTS: Surveys were completed by 443 health professionals (2008: N = 202; 2014: N = 241). Most respondents in 2014 reported that early mobilization was beneficial and not harmful to people with ischemic and hemorrhagic stroke. Opinions regarding mobilization after ischemic stroke did not change significantly between 2008 and 2014. In 2014, a significantly greater proportion of respondents believed that early mobilization after hemorrhagic stroke was helpful (2008: n = 98 of 202 [49%] versus 2014: n = 170 of 241 [71%], P < .01). Awareness of AVERT was significantly associated with the opinion that early mobilization was beneficial and not harmful to patients with stroke (P < .05). CONCLUSIONS: Australasian health professionals' opinions of early mobilization after hemorrhagic stroke changed between 2008 and 2014, prior to reporting of the AVERT trial. Our results suggest that awareness of an ongoing research trial can lead to changes in opinions before the efficacy of the experimental intervention is known.

Physical, cognitive and social activity levels of stroke patients undergoing rehabilitation within a mixed rehabilitation unit.

OBJECTIVE: To determine physical, cognitive and social activity levels of stroke patients undergoing rehabilitation, and whether these changed over time. DESIGN: Observational study using behavioural mapping techniques to record patient activity over 12 hours on one weekday and one weekend day at baseline (week 1) and again two weeks later (week 2). SETTING: A 20-bed mixed rehabilitation unit. SUBJECTS: Fourteen stroke patients. INTERVENTIONS: None. MAIN MEASURES: Percentage of day spent in any activity or physical, cognitive and social activities. Level of independence using the Functional Independence Measure (FIM) and mood using the Patient Health Questionniare-9 (PHQ-9). RESULTS: The stroke patients performed any activity for 49%, social activity for 32%, physical activity for 23% and cognitive activity for 4% of the day. Two weeks later, physical activity levels had increased by 4% (95% confidence interval (CI) 1 to 8), but levels of any activity or social and cognitive activities had not changed significantly. There was a significant: (i) positive correlation between change in physical activity and change in FIM score (r = 0.80), and (ii) negative correlation between change in social activity and change in PHQ-9 score (r = -0.72). The majority of activity was performed by the bedside (37%), and most physical (47%) and cognitive (54%) activities performed when alone. Patients undertook 5% (95% CI 2 to 9) less physical activity on the weekends compared with the weekdays. CONCLUSIONS: Levels of physical, cognitive and social activity of stroke patients were low and remained so even though level of independence and mood improved. These findings suggest the need to explore strategies to stimulate activity within rehabilitation environments.

Secondary prevention of stroke. A telehealth-delivered physical activity and diet pilot randomized trial (ENAbLE-pilot).

BACKGROUND: Improving physical activity levels and diet quality are important for secondary stroke prevention. AIM: To test the feasibility and safety of 6-month, co-designed telehealth-delivered interventions to increase physical activity and improve diet quality. METHODS: A 2 × 2 factorial trial (physical activity (PA); diet (DIET); PA + DIET; control) randomized, open-label, blinded endpoint trial. Primary outcomes were feasibility and safety. Secondary outcomes included stroke risk factors (blood pressure, self-report PA (International Physical Activity Questionnaire (IPAQ)) and diet quality (Australian Recommended Food Score (ARFS)), and quality of life. Between-group differences were analyzed using linear-mixed models. RESULTS: Over 23 months, 99 people were screened for participation and 40 (40%) randomized (3 months to 10 years post-stroke, mean age 59 (16) years). Six participants withdrew, and an additional five were lost to follow-up. Fifteen serious adverse events were reported, but none were deemed definitely or probably related to the intervention. Median attendance was 32 (of 36) PA sessions and 9 (of 10) DIET sessions. The proportion of missing primary outcome data (blood pressure) was 3% at 3 months, 11% at 6 months, and 14% at 12 months. Between-group 95% confidence intervals showed promising, clinically relevant differences in support of the interventions across the range of PA, diet quality, and blood pressure outcomes. CONCLUSION: Our telehealth PA and diet interventions were safe and feasible and may have led to significant behavior change. TRIAL REGISTRATION: ACTRN12620000189921.

"Wasting time": a qualitative study of stroke survivors' experiences of boredom in non-therapy time during inpatient rehabilitation.

PURPOSE: Stroke survivors regularly report experiencing boredom during inpatient rehabilitation which may detrimentally affect mood, learning and engagement in activities important for functional recovery. This study explores how stroke survivors meaningfully occupy their non-therapy time and their experiences of boredom, to further our understanding of this complex phenomenon. METHODS: Secondary analysis of transcripts from semi-structured interviews with stroke survivors exploring activity during non-therapy time. Transcripts were coded and analysed using a hybrid approach of inductive and deductive thematic analysis, guided by a published boredom framework. RESULTS: Analysis of 58 interviews of 36 males and 22 females, median age 70 years, revealed four main themes: (i) Resting during non-therapy time is valued, (ii) Managing "wasted" time, (iii) Meaningful environments support autonomy and restore a sense of normality, and (iv) Wired to be social. Whilst limited therapy, social opportunities and having "nothing to do" were common experiences, those individuals who felt in control and responsible for driving their own stroke recovery tended to report less boredom during their rehabilitation stay. CONCLUSION: Creating rehabilitation environments that support autonomy, socialisation and opportunities to participate in activity are clear targets to reduce boredom during non-therapy time, increase meaningful engagement and possibly improve rehabilitation outcomes post-stroke.

Stroke survivors with a low sense of autonomy are at greater risk of boredom and may benefit from person-centred strategies to support participation in meaningful activities during non-therapy time whilst undertaking inpatient rehabilitation.Review and reduction of paternalistic practices within traditional models of care, to increase patient autonomy, may empower stroke survivors to drive their own activity and reduce boredom.The redesign and reorganisation of rehabilitation environments to increase opportunities for socialisation and access to nature and the outdoors may reduce boredom during inpatient rehabilitation.

Non-therapeutic strategies to promote physical activity of stroke survivors in hospital settings: A systematic review.

OBJECTIVE: To systematically summarize the evidence of strategies other than therapy to promote physical activity in hospital settings. METHODS: Studies testing the various strategies to promote the physical activity of stroke survivors in different hospital settings, including stroke units, hospitals and rehabilitation centres were included. Two independent reviewers screened, extracted data, and assessed the study quality. Quality assessments were performed using standardized checklists. Data synthesis was done from the selected articles and results were reported. RESULTS: Of the 3396 records retrieved from database searches, 12 studies (n = 529 participants) were included. All the studies were of moderate to good quality. The strategies were grouped into five categories: i) physical environment, ii) device-based feedback, iii) self-management approaches, iv) family presence, and v) education. Physical environmental and device-based feedback were the most common strategies to promote physical activity after a stroke in a hospital setting. Strategies such as family presence and education improved physical activity levels, whereas device-based feedback showed mixed results. CONCLUSION: Despite the importance of physical activity in early stroke, there is limited literature present to enhance activity levels. Physical environment and device-based feedback were the two most common strategies used in acute stroke survivors. The impact of these strategies remain suboptimal to be considered as effective intervention methods to enhance physical activity.