Non-clinically trained facilitators' experiences of remote psychosocial interventions for older adults with memory loss and their family carers.

BJPsych open(2023)

引用 0|浏览4
暂无评分
摘要
BACKGROUND:Dementia is the seventh leading cause of global mortality, with cases increasing. Psychosocial interventions might help prevent dementia and improve quality of life. Although it is cost-effective for non-clinically trained staff to deliver these, concerns are raised and little is known about the resulting impact on staff, especially for remote interventions. AIMS:To explore how non-clinically trained facilitators experienced delivering remote, one-to-one and group-based psychosocial interventions with older adults with memory loss and their family carers, under training and supervision. METHOD:We conducted a secondary thematic analysis of interviews with non-clinically trained facilitators, employed by universities, the National Health Service and third-sector organisations, who facilitated either of two manualised interventions: the APPLE-Tree group dementia prevention for people with mild memory loss or the NIDUS-Family one-to-one dyadic intervention for people living with dementia and their family carers. RESULTS:The overarching theme of building confidence in developing therapeutic relationships was explained with subthemes that described the roles of positioning expertise (subtheme 1), developing clinical skills (subtheme 2), peer support (subtheme 3) in enabling this process and remote delivery as a potential barrier to it (subtheme 4). CONCLUSIONS:Non-clinically trained facilitators can have positive experiences delivering remote psychosocial interventions with older adults. Differences in life experience could compound initial fears of being 'in at the deep end' and 'exposed' as lacking expertise. Fears were allayed by experiencing positive therapeutic relationships and outcomes, and by growing confidence. For this to happen, appropriate training and supervision is needed, alongside accounting for the challenges of remote delivery.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要