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Factors affecting the sustainability of community mental health assets: A systematic review
Anna Moore1, Marcello Bertotti2, Ainul Hanafiah2
1Evidence Based Practice Unit (EBPU), University College London and Anna Freud National Centre for Children and Families (AFNCCF), London, UK.
Abstract:
Resources and activities offered by Voluntary, Community and Social Enterprise (VCSE) organisations could play a key role in supporting communities with their mental health. Whilst policy makers have become increasingly interested in using such asset-based approaches to improve mental health and well-being, the sustainability of these approaches remains underresearched. In this review, we explored the factors affecting the sustainability of community mental health assets. We conducted a systematic review of the literature using keywords based on three key terms: 'sustainability', 'mental health issues' and 'service provision'. Our search strategy was deployed in four electronic databases (MEDLINE, Web of Science, ASSIA and IBSS) and relevant websites were also searched. The literature search was conducted in November and December 2020 and yielded 2486 results. After title and abstract screening, 544 articles were subjected to full-text review. A total of 16 studies were included in a narrative synthesis. Studies included a broad range of community interventions and 30 factors affecting sustainability were identified across three sustainability levels: micro (individual), meso (organisational) and macro (local/national/global). Factors were discussed as barriers or facilitators to sustainability. A key barrier across all sustainability levels was funding (cost to individual participants, lack of available funding for VCSEs, economic uncertainty) whilst a key facilitator was connectedness (social connections, partnering with other organisations, linking with national public health systems). Nearly all articles included no definition of sustainability and the majority of factors identified here were at the meso/organisational level. As funding was found to be such a prevalent barrier, more research into macro level factors (e.g. government policies) is required.
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