How do patients spend their time in stroke rehabilitation units in England? The REVIHR study

Acquired brain injury (ABI) survivors' experience of occupation and activity during their inpatient stay: a scoping review

PURPOSE

This review aimed to characterise and map: (1) what type of evidence and what dominant study characteristics are available regarding acquired brain injury (ABI) survivors' experience of occupation and activity in hospital? (2) How are occupation and activity conceptualised in the literature? (3) How are ABI survivors experiencing occupation and activity while in hospital? (4) What factors create barriers or opportunities for engagement in occupations or activity in hospital? (5) Are there any knowledge gaps identified?

MATERIALS AND METHODS

A scoping review was conducted examining literature published between 2017 and 2022. Relevant studies were systematically retrieved from electronic databases.

RESULTS

Thirty-four publications were included. There were more quantitative studies (n = 18). Much of the research has been conducted outside of the UK. The populations studied were principally stroke (n = 22). The concept of activity rather than occupation predominates. Patients spend their time alone and inactive. Structural and contextual barriers for engaging in activity are identified. Qualitative study designs exclude ABI survivors with communication or cognitive impairment.

CONCLUSIONS

There is a paucity of research with ABI survivors in hospitals in the UK. Alternative methodological approaches such as ethnography would ensure those with communication or cognitive impairment are not excluded from research. Implications for rehabilitationRehabilitation professionals, especially occupational therapists, need to lead acquired brain injury (ABI) research in acute hospital settings in the UK.Conceptualisation of meaningful activity and occupation needs a clearer focus in ABI research.Qualitative studies frequently exclude participants with cognitive or communication impairments so methodologies that are more inclusive and representative of brain injury survivors are needed.

Awareness through relationships in individuals undergoing rehabilitation following acquired brain injury

AIM

This cross-sectional study investigated the association between self-awareness and quality of therapeutic relationships following acquired brain injury (ABI) while controlling for the potential impact of cognitive problems. It also aimed to investigate attachment as a potential moderator.

METHOD

83 adults with ABI were recruited alongside a key member of their community neurorehabilitation team. The Scale to Assess Therapeutic Relationships (STAR) was used to measure therapeutic relationship quality and attachment was measured using the Experiences in Close Relationships - Relationship Structure (ECR-RS) questionnaire. Awareness was measured using the Patient Competency Rating Scale (PCRS) and the Mayo-Portland Adaptability Inventory (MPAI-4) provided a measure of cognitive problems. The MPAI-4 also provided an additional measure of awareness.

RESULTS

A significant association between self-awareness and therapeutic relationships was found in some regression models such that higher-quality relationships were associated with better awareness, after controlling for the impact of cognitive problems. Neither childhood parental attachment nor participants' attachment towards their rehabilitation staff were moderators.

CONCLUSION

The observed associations between awareness in clients and therapeutic relationships with rehabilitation staff may have importance for rehabilitation in this context. Results highlight the value of continuing to prioritize the therapeutic relational environment in ABI rehabilitation and research.

Exploring the experiences of adults with stroke in virtual community-based stroke programs: a qualitative descriptive study

BACKGROUND

Stroke is among the top contributors to disability and can impact an individual's cognition, physical functioning, and mental health. Since the COVID-19 pandemic, several community-based organizations have started delivering stroke programs virtually. However, participants' experiences in these programs remain understudied, and evidence-based guidelines to inform and optimize virtual stroke program development and delivery are lacking. Thus, this study aimed to describe the perspectives and experiences of individuals with stroke who participated in virtual community-based organization stroke programs, including perceived access and participation facilitators and barriers and suggestions for improving these programs.

METHODS

A qualitative descriptive design was used to gather participant experiences through semi-structured interviews. Audio-recorded interviews were conducted on Zoom and transcribed verbatim. Adult participants who had experienced a stroke and attended at least one Canadian virtual community-based organization stroke program were recruited. Data were analyzed using inductive thematic analysis.

RESULTS

Twelve participants (32-69 years, 2-23 years post-stroke, eight women and four men) participated in this study. Five themes were identified: (1) motives to join virtual community-based organization stroke programs, including gaining peer connections, knowledge and information; (2) perceived barriers to accessing and participating in virtual community-based organization stroke programs, including technology inequities, difficulties navigating technology, and inadequate facilitation; (3) perceived facilitators to accessing and participating in virtual community-based organization stroke programs, including remote access, virtual platform features and program leader characteristics/skills; (4) unmet needs during virtual community-based organization stroke programs, including in-person connection and individualized support; and (5) suggestions and preferences for improving virtual community-based organization stroke programs, including program facilitation, content and format.

CONCLUSIONS

Study findings highlight opportunities to improve virtual community-based organization stroke programs to optimize participant experiences and outcomes. Addressing the barriers and suggestions identified in this study may improve virtual community-based organization stroke programs' access and quality.

Prediction of stroke patients' bedroom-stay duration: machine-learning approach using wearable sensor data

Background: The importance of being physically active and avoiding staying in bed has been recognized in stroke rehabilitation. However, studies have pointed out that stroke patients admitted to rehabilitation units often spend most of their day immobile and inactive, with limited opportunities for activity outside their bedrooms. To address this issue, it is necessary to record the duration of stroke patients staying in their bedrooms, but it is impractical for medical providers to do this manually during their daily work of providing care. Although an automated approach using wearable devices and access points is more practical, implementing these access points into medical facilities is costly. However, when combined with machine learning, predicting the duration of stroke patients staying in their bedrooms is possible with reduced cost. We assessed using machine learning to estimate bedroom-stay duration using activity data recorded with wearable devices. Method: We recruited 99 stroke hemiparesis inpatients and conducted 343 measurements. Data on electrocardiograms and chest acceleration were measured using a wearable device, and the location name of the access point that detected the signal of the device was recorded. We first investigated the correlation between bedroom-stay duration measured from the access point as the objective variable and activity data measured with a wearable device and demographic information as explanatory variables. To evaluate the duration predictability, we then compared machine-learning models commonly used in medical studies. Results: We conducted 228 measurements that surpassed a 90% data-acquisition rate using Bluetooth Low Energy. Among the explanatory variables, the period spent reclining and sitting/standing were correlated with bedroom-stay duration (Spearman's rank correlation coefficient (R) of 0.56 and -0.52, p < 0.001). Interestingly, the sum of the motor and cognitive categories of the functional independence measure, clinical indicators of the abilities of stroke patients, lacked correlation. The correlation between the actual bedroom-stay duration and predicted one using machine-learning models resulted in an R of 0.72 and p < 0.001, suggesting the possibility of predicting bedroom-stay duration from activity data and demographics. Conclusion: Wearable devices, coupled with machine learning, can predict the duration of patients staying in their bedrooms. Once trained, the machine-learning model can predict without continuously tracking the actual location, enabling more cost-effective and privacy-centric future measurements.

Addressing inactivity after stroke: The Collaborative Rehabilitation in Acute Stroke (CREATE) study

BACKGROUND

Stroke patients are often inactive outside of structured therapy sessions - an enduring international challenge despite large scale organizational changes, national guidelines and performance targets. We examined whether experienced-based co-design (EBCD) - an improvement methodology - could address inactivity in stroke units.

AIMS

To evaluate the feasibility and impact of patients, carers, and staff co-designing and implementing improvements to increase supervised and independent therapeutic patient activity in stroke units and to compare use of full and accelerated EBCD cycles.

METHODS

Mixed-methods case comparison in four stroke units in England.

RESULTS

Interviews were held with 156 patients, staff, and carers in total; ethnographic observations for 364 hours, behavioral mapping of 68 patients, and self-report surveys from 179 patients, pre- and post-implementation of EBCD improvement cycles.Three priority areas emerged: (1) 'Space' (environment); (2) 'Activity opportunities' and (3) 'Communication'. More than 40 improvements were co-designed and implemented to address these priorities across participating units. Post-implementation interview and ethnographic observational data confirmed use of new social spaces and increased activity opportunities. However, staff interactions remained largely task-driven with limited focus on enabling patient activity. Behavioral mapping indicated some increases in social, cognitive, and physical activity post-implementation, but was variable across sites. Survey responses rates were low at 12-38% and inconclusive.

CONCLUSION

It was feasible to implement EBCD in stroke units. This resulted in multiple improvements in stroke unit environments and increased activity opportunities but minimal change in recorded activity levels. There was no discernible difference in experience or outcome between full and accelerated EBCD; this methodology could be used across hospital stroke units to assist staff and other stakeholders to co-design and implement improvement plans.