Fostering collaborative practice through interprofessional simulation for occupational therapy, physiotherapy, dietetics, and nursing students.

Literature regarding simulation for learning interprofessional collaborative practice (IPCP) indicates a need to include a range of health professions and to focus on students' development of team communication and conflict resolution skills in day-to-day healthcare delivery. This study evaluated the impact of interprofessional simulation for occupational therapy, physiotherapy, dietetics, and nursing students on interprofessional collaboration competencies, specifically collaborative communication and conflict resolution during day-to-day interactions, and their intention for IPCP during placement. A series of simulations featuring the potential for interprofessional conflict and involving explicit coaching on communication and conflict resolution were conducted. A single cohort pre-test post-test design included the Students' Perceptions of Interprofessional Clinical Education Revised (SPICE-R), the Interprofessional Collaborative Competencies Attainment Survey (ICCAS), and an open response survey question on future intended practice. A total of 237 students participated in the simulation experience. Overall scores and scores on all IPCP competencies in the ICASS (n = 193) and SPICE-R (n = 226) improved for all professions post-simulation. The mean score of the ICCAS increased for 98% of the respondents and similarly the mean score of the SPICE-R increased for 71% of the respondents. Open-ended responses indicated students' intentions to pursue self-leadership in IPCP. Students who participated in an interprofessional simulation reported perceived improvements in IPCP competencies and were encouraged to initiate IPCP when on placement in the practice setting.

Perspectives of health professionals on physical activity and sedentary behaviour in hospitalised adults: A systematic review and thematic synthesis.

OBJECTIVE: To explore health professionals' perspectives on physical activity and sedentary behaviour of hospitalised adults to understand factors that contribute to these behaviours in this environment. DATA SOURCES: Five databases (PubMed, MEDLINE, Embase, PsycINFO and CINAHL) were searched in March 2023. REVIEW METHODS: Thematic synthesis. Included studies explored perspectives of health professionals on the physical activity and/or sedentary behaviour of hospitalised adults using qualitative methods. Study eligibility was assessed independently by two reviewers and results thematically analysed. Quality was assessed using the McMaster Critical Review Form and confidence in findings assessed using GRADE-CERQual. RESULTS: Findings from 40 studies explored perspectives of over 1408 health professionals from 12 health disciplines. The central theme identified was that physical activity is not a priority in this setting due to the complex interplay of multilevel influences present in the interdisciplinary inpatient landscape. Subthemes, the hospital is a place for rest, there are not enough resources to make movement a priority, everyone's job is no one's job and policy and leadership drives priorities, supported the central theme. Quality of included studies was variable; critical appraisal scores ranged from 36% to 95% on a modified scoring system. Confidence in findings was moderate to high. CONCLUSION: Physical activity in the inpatient setting is not a priority, even in rehabilitation units where optimising function is the key. A shift in focus towards functional recovery and returning home may promote a positive movement culture that is supported by appropriate resources, leadership, policy, and the interdisciplinary team.

Impact of classroom-based MASK-ED™ (KRS simulation) on physiotherapy student clinical performance: a randomized cluster trial.

BACKGROUND: In physiotherapy there is a growing body of literature exploring the benefits simulation could have in the university-setting, prior to the commencement of work-integrated learning. MASK-ED™ simulation is one form of simulation that could be beneficial for student learning and improve performance in the clinical setting. MASK-ED™ simulation involves an educator donning a silicone mask and portraying a patient role that has been specifically developed to meet learning objectives. OBJECTIVE: To evaluate the effectiveness of MASK-ED™ simulation compared to role-play with peers for training pre-clinical physiotherapy students. METHODS: A single-centre, single-blind, cluster randomized trial with concealed allocation, between group post-measures, and intention-to-treat analysis was conducted at an Australian university between February 2018 - January 2021. Participants were 144 physiotherapy students, cluster randomized by tutorial groups (exp n = 70, con n = 74), undertaking their neurological curricula. The experimental group was exposed to MASK-ED™ simulation in five out of a potential thirty-two tutorials (16%) whilst the control continued with role-play with peers. The primary outcome measure was Assessment of Physiotherapy Practice scores from the students' rehabilitation work-integrated learning clinical placement. These were compared between the experimental and control groups using Mann-Whitney U tests. Secondary outcome measures include practical and written examination scores. These were compared between groups via independent t-tests. Participant satisfaction surveys were also administered to the experimental group. RESULTS: One hundred thirty-two participants' (exp n = 62, con n = 72) results were analyzed. There were no significant differences between the experimental and control groups for Assessment of Physiotherapy Practice scores (p = 0.699-0.995). There were no significant differences found between the groups, across the secondary outcome measures. Participants found MASK-ED™ simulation was somewhat helpful for preparing them for clinical practice, however felt that a group setting was not as effective as a one-on-one encounter would have been. CONCLUSIONS: MASK-ED™ simulation was no more effective than role-play with peers in preparing physiotherapy students for work-integrated learning. The influence of the design of simulation on effective learning and the number of classroom-based simulation encounters required to impact clinical performance requires further investigation.

Prediction of Independent Walking in People Who Are Nonambulatory Early After Stroke: A Systematic Review.

Background and Purpose: One systematic review has examined factors that predict walking outcome at one month in initially nonambulatory patients after stroke. The purpose of this systematic review was to examine, in nonambulatory people within a month of stroke, which factors predict independent walking at 3, 6, and 12 months. Methods: Prognostic factors: Any factors measured within one month after stroke with the aim of predicting independent walking. Outcome of interest: Independent walking defined as walking with or without an aid but with no human assistance. Results: Fifteen studies comprising 2344 nonambulatory participants after stroke were included. Risk of bias was low in 7 studies and moderate in 8 studies. Individual meta-analyses of 2 to 4 studies were performed to calculate the pooled estimate of the odds ratio for 12 prognostic factors. Younger age (odds ratio [OR], 3.4, P<0.001), an intact corticospinal tract (OR, 8.3, P<0.001), good leg strength (OR, 5.0, P<0.001), no cognitive impairment (OR, 3.5, P<0.001), no neglect (OR, 2.4, P=0.006), continence (OR, 2.3, P<0.001), good sitting (OR, 7.9, P<0.001), and independence in activities of daily living (OR 10.5, P<0.001) predicted independent walking at 3 months. Younger age (OR, 2.1, P<0.001), continence (OR, 13.8, P<0.001), and good sitting (OR, 19.1, P<0.001) predicted independent walking at 6 months. There were insufficient data at 12 months. Conclusions: Younger age, an intact corticospinal tract, good leg strength, continence, no cognitive impairment, no neglect, good sitting, and independence in activities of daily living in patients who are nonambulatory early after stroke predict independent walking at 3 months. REGISTRATION: URL: https://www.crd.york.ac.uk/prospero/; Unique identifier: CRD42018108794.

An Exploration of Sedentary Behavior Patterns in Community-Dwelling People With Stroke: A Cluster-Based Analysis.

BACKGROUND AND PURPOSE: Long periods of daily sedentary time, particularly accumulated in long uninterrupted bouts, are a risk factor for cardiovascular disease. People with stroke are at high risk of recurrent events and prolonged sedentary time may increase this risk. We aimed to explore how people with stroke distribute their periods of sedentary behavior, which factors influence this distribution, and whether sedentary behavior clusters can be distinguished? METHODS: This was a secondary analysis of original accelerometry data from adults with stroke living in the community. We conducted data-driven clustering analyses to identify unique accumulation patterns of sedentary time across participants, followed by multinomial logistical regression to determine the association between the clusters, and the total amount of sedentary time, age, gender, body mass index (BMI), walking speed, and wake time. RESULTS: Participants in the highest quartile of total sedentary time accumulated a significantly higher proportion of their sedentary time in prolonged bouts (P < 0.001). Six unique accumulation patterns were identified, all of which were characterized by high sedentary time. Total sedentary time, age, gender, BMI, and walking speed were significantly associated with the probability of a person being in a specific accumulation pattern cluster, P < 0.001 - P = 0.002. DISCUSSION AND CONCLUSIONS: Although unique accumulation patterns were identified, there is not just one accumulation pattern for high sedentary time. This suggests that interventions to reduce sedentary time must be individually tailored.Video Abstract available for more insight from the authors (see the Video Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A343).

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.

Accelerometer and Global Positioning System Measurement of Recovery of Community Ambulation Across the First 6 Months After Stroke: An Exploratory Prospective Study.

OBJECTIVE: To characterize community ambulation and determine if it changes across the first 6 months after discharge from hospital after stroke. DESIGN: Prospective, observational study. SETTING: Community setting. PARTICIPANTS: Subacute stroke survivors with no cognitive impairment or conditions limiting mobility prior to stroke (N=34). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Community ambulation was measured by an accelerometer, Global Positioning System, and activity diary. Measures included the following: volume (step count; time spent in the community, lying/sitting, standing, and walking), frequency (number of community trips; number of and time in short-, medium-, long-duration bouts), intensity (number of and time at low-, moderate-, high-intensity bouts), and trip type at 1, 3, and 6 months after hospital discharge. RESULTS: At 1 month participants took on average 1 trip per day in the community, lasting 137±113 minutes. Overall, most community ambulation was spread across long-duration bouts (>300 steps) lasting 11.3 to 14.1min/d and moderate-intensity bouts (30-80 steps per minute). There was no change in community ambulation trip type (P<.302) or ambulation characteristics over time except for a greater number of and time spent in long ambulation bouts at 6 months only (P<.027). CONCLUSIONS: Total volume and intensity of community ambulation did not change over the first 6 months postdischarge after stroke. However, at 6 months, survivors spent more time in long-duration ambulation bouts. Review of stroke survivors at 6 months after hospital discharge is suggested because this is when changes in community ambulation may first be observed.

The influence of communal spaces on patient activity in rehabilitation: a mixed methods study.

PURPOSE: This study aimed to determine whether patients are more active in communal spaces compared to their bedrooms and explore patient perspectives on communal spaces for activity, rest, and wellbeing. MATERIALS AND METHODS: A prospective study observed participants via behavioural mapping in a mixed inpatient rehabilitation unit for up to three days. Physical, social, and cognitive activity levels in communal spaces were compared with activity in bedrooms using independent t-tests. Three focus groups explored participants' perspectives on communal spaces for activity, rest and wellbeing using thematic analysis. RESULTS: Thirty-three participants (age 71.6 ± 13years, 39%male) were observed, and a subset (n = 12) (age 67.3 ± 16.9, 50%male) participated in focus groups. Participants spent a greater proportion of time being physically active (mean difference 22.7%, 95%CI 8.7-36.6, p = 0.002) and socially active (mean difference 23.6%, 95%CI 9.1-38.1, p = 0.002) in communal spaces than bedrooms. No difference in cognitive activity was found. Participants perceived communal spaces to positively influence mood and activity. Reduced independence was a barrier, while visitors, activities, and an inviting design attracted people to communal areas. CONCLUSION: Communal spaces may positively influence patient activity and mood during inpatient rehabilitation. Future studies should seek strategies to optimise engagement in communal environments.IMPLICATIONS FOR REHABILITATIONOptimising patient activity throughout the day in inpatient rehabilitation is important to support recovery.Communal spaces in inpatient rehabilitation hospitals can positively influence patient activity and mood.Strategies to promote use of communal spaces in the inpatient rehabilitation hospital are needed.

People with mild Parkinson's disease have impaired force production in upper limb muscles: A cross-sectional study.

BACKGROUND: There has been little examination of force production of the upper limb in people with Parkinson's disease (PD), despite its impact on activities of daily living and clear evidence that force production is significantly reduced in lower limb muscle groups. The aim of this study was to determine the force production of the major muscle groups of the upper limb in people with PD during the "on" phase after medication, compared with aged-matched neurologically-normal controls. METHOD: A cross-sectional study was carried out. PARTICIPANTS: Thirty people with mild PD (Hoehn Yahr mean 1.1) and 24 age-matched neurologically-normal controls. OUTCOME MEASURES: Maximum isometric force production of the shoulder flexors, extensors, abductors, adductors, internal rotators and external rotators, elbow flexors and extensors, wrist flexors and extensors and hand grip using dynamometry. RESULTS: There was a significant impairment in force production in all upper limb muscle groups, compared with control participants, except in the wrist flexors. On average the deficit in force production was 22%, despite people with PD having mild disease, being physically active and being measured during the "on" phase of medication. The most severely affected muscle groups were the upper limb extensors. CONCLUSION: People with PD have a significant deficit in force production of the upper limb muscle groups compared with age-matched neurologically normal controls. CLINICAL IMPLICATIONS: Regular assessment of strength of the upper limb should be considered by clinicians and strengthening interventions could be implemented if a deficit is identified.

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.

Acute Exercise Modulates the Excitability of Specific Interneurons in Human Motor Cortex.

Acute exercise can modulate the excitability of the non-exercised upper-limb representation in the primary motor cortex (M1). Accumulating evidence demonstrates acute exercise affects measures of M1 intracortical excitability, with some studies also showing altered corticospinal excitability. However, the influence of distinct M1 interneuron populations on the modulation of intracortical and corticospinal excitability following acute exercise is currently unknown. We assessed the impact of an acute bout of leg cycling exercise on unique M1 interneuron excitability of a non-exercised intrinsic hand muscle using transcranial magnetic stimulation (TMS) in young adults. Specifically, posterior-to-anterior (PA) and anterior-to-posterior (AP) TMS current directions were used to measure the excitability of distinct populations of interneurons before and after an acute bout of exercise or rest. Motor evoked potentials (MEPs) and short-interval intracortical inhibition (SICI) were measured in the PA and AP current directions in M1 at two time points separated by 25 min of rest, as well as immediately and 30 min after a 25-minute bout of moderate-intensity cycling exercise. Thirty minutes after exercise, MEP amplitudes were significantly larger than other timepoints when measured with AP current, whereas MEP amplitudes derived from PA current did not show this effect. Similarly, SICI was significantly decreased immediately following acute exercise measured with AP but not PA current. Our findings suggest that the excitability of unique M1 interneurons are differentially modulated by acute exercise. These results indicate that M1 interneurons preferentially activated by AP current may play an important role in the exercise-induced modulation of intracortical and corticospinal excitability.

Which impairments, activity limitations and personal factors at hospital discharge predict walking activity across the first 6 months poststroke?

Purpose: To determine which impairments, activity limitations and personal factors at hospital discharge poststroke predict volume, frequency, and intensity of walking activity 1, 3, and 6 months later.Materials and Methods: Prospective longitudinal observational study. Thirty-six people with stroke (71 SD 14 years, 69% male) were recruited at hospital discharge and predictors including fatigue, mood, executive function, walking speed, walking endurance, age, prestroke activity, self-efficacy, and perceived stroke recovery and health were collected. At 1, 3, and 6 months follow-up, participants wore an ActivPAL™ accelerometer to collect measures of walking activity.Results: At 1 month, walking endurance predicted all walking activity (R2 > 0.29, p < 0.01). At 3 months, walking endurance and prestroke activity predicted activity volume and intensity (R2 = 0.46-0.61, p < 0.001), and prestroke activity predicted activity frequency (R2 = 0.31, p = 0.004). At 6 months, age-predicted activity volume and frequency (R2 = 0.34-0.35, p < 0.003), while prestroke activity, discharge walking endurance, and executive function together predicted activity intensity (R2 = 0.79, p < 0.001).Conclusion: Walking endurance contributes to walking activity outcomes across the first 6 months following hospital discharge poststroke. After 1 month of discharge, factors other than poststroke changes also contribute to activity outcomes, and should be considered when targeting poststroke physical activity.Implications for rehabilitationWalking endurance should be addressed during stroke rehabilitation as higher scores are linked to more walking activity in the first month after discharge.Prestroke factors such as low prestroke activity levels and older age predict reduced walking activity after stroke, so approaches to address barriers these factors may pose are needed in people with stroke.Physical activity interventions should be tailored to the individual, their environment, and context, and take into consideration prestroke factors.

Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies.

Background: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke. Objective: This study aimed to identify factors associated with high sedentary time in community-dwelling people with stroke. Methods: For this data pooling study, authors of published and ongoing trials that collected sedentary time data, using the activPAL monitor, in community-dwelling people with stroke were invited to contribute their raw data. The data was reprocessed, algorithms were created to identify sleep-wake time and determine the percentage of waking hours spent sedentary. We explored demographic and stroke-related factors associated with total sedentary time and time in uninterrupted sedentary bouts using unique, both univariable and multivariable, regression analyses. Results: The 274 included participants were from Australia, Canada, and the United Kingdom, and spent, on average, 69% (SD 12.4) of their waking hours sedentary. Of the demographic and stroke-related factors, slower walking speeds were significantly and independently associated with a higher percentage of waking hours spent sedentary (p = 0.001) and uninterrupted sedentary bouts of >30 and >60 min (p = 0.001 and p = 0.004, respectively). Regression models explained 11-19% of the variance in total sedentary time and time in prolonged sedentary bouts. Conclusion: We found that variability in sedentary time of people with stroke was largely unaccounted for by demographic and stroke-related variables. Behavioral and environmental factors are likely to play an important role in sedentary behavior after stroke. Further work is required to develop and test effective interventions to address sedentary behavior after stroke.

Recovery of ambulation activity across the first six months post-stroke.

Stroke survivors commonly adopt sedentary activity behaviours by the chronic phase of recovery. However, the change in activity behaviours from the subacute to chronic phase of stroke is variable. This study explored the recovery of ambulation activity (volume and bouts) at one, three and six months after hospital discharge post-stroke. A total of 42 stroke survivors were recruited at hospital discharge and followed up one, three and six months later. At follow-up, ambulation activity was measured over four days using the ActivPAL™ accelerometer. Measures included volume of activity and frequency and intensity of ambulation activity bouts per day. Linear mixed effects modelling was used to determine changes over time. There was wide variation in activity. Total step counts across all time points were below required levels for health benefits (mean 4592 SD 3411). Most activity was spread across short bouts. While most number of bouts was of low intensity, most time was spent in moderate intensity ambulation across all time points. Daily step count and time spent walking and sitting/lying increased from one month to three and six months. The number of and time spent in short and medium duration bouts increased from one to six months. Time in long duration bouts increased at three months only. Time spent in moderate intensity ambulation increased over time. No change was observed for any other measures. In future, it would be valuable to identify strategies to increase engagement in activity behaviours to improve health outcomes after stroke.