Process evaluation of the BASIL+ trial: A behavioural activation approach to addressing low mood and depression among older people with long-term conditions
Elizabeth Newbronner, Kate Bosanquet, Peter Coventry, Leanne Shearsmith, Elizabeth Littlewood, Della Bailey, Andrew Henry, Lauren Burke, Eloise Ryde, Dean McMillan, David Ekers, Simon Gilbody, Carolyn Chew-Graham, Gareth Hagger-Johnson, Gareth Hagger-Johnson

TL;DR
The BASIL+ trial evaluated a behavioral activation intervention to reduce depression and loneliness in older adults with long-term conditions during the pandemic.
Contribution
The study introduces a flexible, telephone-based behavioral activation approach tailored for older adults during social isolation.
Findings
The intervention fostered self-awareness and improved mood among participants.
Support workers played a crucial role in guiding and supporting participants through the process.
The collaborative care model provided holistic support, enhancing both mental and physical well-being.
Abstract
Older adults are at risk of low mood and depression, which can be exacerbated by long-term physical health conditions, leading to poorer health outcomes and increased mortality. The restrictions on social mixing during the COVID-19 pandemic heightened these risks. BASIL+ (Behavioural Activation in Social IsoLation) was a pragmatic randomised controlled trial conducted with patients recruited from general practices in England and Wales. It was designed to assess the effectiveness of behavioural activation in mitigating depression and loneliness among older people during the COVID-19 pandemic. A behavioural activation intervention, within a collaborative care framework, was delivered by telephone. Participants were offered up to eight weekly sessions with trained BASIL+ Support Workers. A qualitative process evaluation (conducted within the BASIL+ trial), used one-to-one semi-structured…
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Taxonomy
TopicsHealth disparities and outcomes · Mental Health and Patient Involvement · Health, psychology, and well-being
