Objective: To identify where and how trauma survivors’ rehabilitation needs are met after trauma, to map rehabilitation across five UK major trauma networks, and to compare with recommended pathways. Design: Qualitative study (interviews, focus groups, workshops) using soft-systems methodology to map usual care across trauma networks and explore service gaps. Publicly available documents were consulted. CATWOE (Customers, Actors, Transformation, Worldview, Owners, Environment) was used as an analytic framework to explore the relationship between stakeholders in the pathway. Setting: Five major trauma networks across the UK. Subjects: 106 key rehabilitation stakeholders (service providers, trauma survivors) were recruited to interviews ( n = 46), focus groups ( n = 4 groups, 17 participants) and workshops ( n = 5 workshops, 43 participants). Interventions: None. Results: Mapping of rehabilitation pathways identified several issues: (1) lack of vocational/psychological support particularly for musculoskeletal injuries; (2) inconsistent service provision in areas located further from major trauma centres; (3) lack of communication between acute and community care; (4) long waiting lists (up to 12 months) for community rehabilitation; (5) most well-established pathways were neurologically focused. Conclusions: The trauma rehabilitation pathway is complex and varies across the UK with few, if any patients following the recommended pathway. Services have developed piecemeal to address specific issues, but rarely meet the needs of individuals with multiple impairments post-trauma, with a lack of vocational rehabilitation and psychological support for this population.
Stroke is the single greatest cause of adult disability in the UK. A quarter of strokes affect people of working age; however, less than half of them return to work. This study described the nature of return to work and the help that people require to go back to work. A total of 46 participants were recruited from one English county. Participants were divided into 2 groups: a group receiving usual care and a group receiving extra rehabilitation. The study assessed their work status, the hours they worked, work accommodations, and what they earned at baseline, 3, 6 and 12 months after stroke. Most people returned to work after a mean of 90 days and stayed with the same employer. However, many people needed changes at work, worked fewer hours and earned less than they did before the stroke. Future research should investigate the implications of work adjustments for stroke survivors and whether the reported reductions in hours, status, roles and responsibilities are viewed as positive or negative. Objective: Stroke is the greatest cause of disability in adults. A quarter of strokes in the UK affect people of working age, yet under half of them return to work after stroke. There has been little investigation into what constitutes "return to work" following stroke. The aim of this study is to describe the work metrics of stroke survivor participants in a feasibility randomized controlled trial of an early stroke-specific vocational rehabilitation intervention. Methods: Retrospective analysis of trial data. Metrics on work status, working hours, workplace accommodations and costs were extracted from trial outcomes gathered by postal questionnaire at 3, 6, and 12 months' post-randomization for 46 stroke participants in a feasibility randomized controlled trial. Participants were randomized to receive vocational rehabilitation (intervention) or usual care (control). Results: Two-thirds (n = 29; 63%) of participants returned to work at some point in the 12 months following stroke. Participants took a mean of 90 days to return to work. Most returned to the same role with an existing employer. Only one-third of participants who were employed full-time at stroke onset were working full-time at 12 months post-stroke. Most participants experienced a reduction in pre-stroke earnings. Workplace accommodations were more common among intervention group participants. More intervention participants than control participants reported satisfaction with work at both 6 and 12 months post-randomization. Conclusion: This study illustrates the heterogeneous nature of return to work and the dramatic impact of stroke on work status, working hours and income. Longitudinal research should explore the socioeconomic legacy of stroke and include clear definitions of work and accurate measures of working hours and income from all sources.
BackgroundBrain in Hand is a smartphone application (app) that allows users to create structured diaries with problems and solutions, attach reminders, record task completion and has a symptom monitoring system. Brain in Hand was designed to support people with psychological problems, and encourage behaviour monitoring and change. The aim of this paper is to describe the process of exploring the barriers and enablers for the uptake and use of Brain in Hand in clinical practice, identify potential adaptations of the app for use with people with acquired brain injury (ABI), and determine whether the behaviour change wheel can be used as a model for engagement.MethodsWe identified stakeholders: ABI survivors and carers, National Health Service and private healthcare professionals, and engaged with them via focus groups, conference presentations, small group discussions, and through questionnaires. The results were evaluated using the behaviour change wheel and descriptive statistics of questionnaire responses.ResultsWe engaged with 20 ABI survivors, 5 carers, 25 professionals, 41 questionnaires were completed by stakeholders. Comments made during group discussions were supported by questionnaire results. Enablers included smartphone competency (capability), personalisation of app (opportunity), and identifying perceived need (motivation). Barriers included a physical and cognitive inability to use smartphone (capability), potential cost and reliability of technology (opportunity), and no desire to use technology or change from existing strategies (motivation). The stakeholders identified potential uses and changes to the app, which were not easily mapped onto the behaviour change wheel, e.g. monitoring fatigue levels, method of logging task completion, and editing the diary on their smartphone.ConclusionsThe study identified that both ABI survivors and therapists could see a use for Brain in Hand, but wanted users to be able to personalise it themselves to address individual user needs, e.g. monitoring activity levels. The behaviour change wheel is a useful tool when designing and evaluating engagement activities as it addresses most aspects of implementation, however additional categories may be needed to explore the specific features of assistive technology interventions, e.g. technical functions.Electronic supplementary materialThe online version of this article (10.1186/s12911-018-0611-0) contains supplementary material, which is available to authorized users.
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