Brain Impairment最新文献

Background Persistent changes in sexuality often follow traumatic brain injury (TBI). However, health professionals remain reticent about discussing sexuality and have reported barriers including uncertainties around whose role it is and limited educational and institutional support. This study employed a co-design and implementation process, aiming to promote team-wide behavioural change, whereby health professionals at a TBI rehabilitation unit would attempt to address sexuality with patients routinely. Methods Focus group sessions with multidisciplinary health professionals were conducted to identify barriers and enablers to behavioural change, identify areas for development, and co-design intervention options. Implementation deliverables were then finalised and provided to the team. The Theoretical Domains Framework was used to map factors influencing behaviours and the Behaviour Change Wheel was used to map interventions. Thematic analysis was used to further analyse barrier themes. Results Thirty-five barriers and eight enablers falling within 12 theoretical domains to behavioural change were identified. Thematic analysis revealed highly correlated barriers in initiating and sustaining change. Nine co-designed intervention options aligned with five intervention functions of the Behaviour Change Wheel, resulting in six final implementation deliverables. Conclusions Barriers were highly interrelated, influencing the approach to implementation deliverables. Simultaneously addressing multiple barriers could potentially alleviate discomfort associated with discussing sexuality. Concerns around initiating change were related to confidence in achieving sustainable changes. Achieving change requires organisational and team-level environmental restructuring and enablement. The next step involves evaluating the effectiveness of the co-design and implementation process in driving behavioural change and potential impacts on patient satisfaction and sexuality outcomes.

Background Although individuals with acquired brain injury (ABI) may be vulnerable to cyberscams, the lack of existing measures documenting cybersafety behaviours in people with ABI limits our understanding of ABI-specific risk factors, the frequency of this problem, and the ability to evaluate evidence-based interventions. The CyberABIlity Scale was developed to assess vulnerability in people with ABI via self-rated statements and practical scam-identification tasks. This study aimed to develop and refine The CyberABIlity Scale through feedback from clinicians and people with ABI. Methods Scale feedback was collected via three rounds of clinician surveys (n  = 14) using Delphi methods and two rounds of cognitive interviews with participants with ABI (n  = 8). Following each round, feedback was quantitatively and qualitatively summarised, and revisions were made accordingly. Results Key revisions included removing 12 items deemed irrelevant. Instructions and rating scales were revised to improve clarity. Cognitive interviews identified 15 comprehension errors, with further revisions made to support response clarity for participants with ABI. Clinicians and participants with ABI endorsed the content and face validities of The CyberABIlity Scale . Conclusions Following further validation, The CyberABIlity Scale has the potential to be an effective screening measure for online vulnerability for people with ABI within clinical and research settings.

Background Stigma after Acquired Brain Injury (ABI) has been described as a significant obstacle for the recovery of survivors. Despite its theoretical and clinical relevance, studies dedicated to stigma after ABI are just starting to emerge. The goal of this systematic review was to integrate the existing scientific evidence and develop a model of stigma after brain injury that can guide interventions at different levels. Method Three electronic databases were employed. A search strategy was adapted for each database. Articles that explored stigma in adult ABI populations were included. All articles used quantitative, qualitative or mixed method designs and were published in English, Spanish or Portuguese. Results A total of 21 articles were selected. They considered three types of stigma after ABI: (1) self-stigma, (2) stigma-by-association and (3) public stigma. It was also found that information can be processed at implicit and explicit levels across all three forms of stigma. Definitions of each type of stigma used with ABIs are provided as well as related concepts and theoretical frameworks employed. Evidence emerging from different forms of stigma after ABI is summarised. Conclusion Research on stigma after ABI is heterogeneous, and existing studies have explored its impact at individual, family and public levels. A model of stigma after ABI should consider all these levels as well as the interactions that can occur between them. Future studies should explore how to incorporate stigma management as part of neuropsychological rehabilitation programs.