Daryl Sweet1, Richard Byng2, Martin Webber3, Doyo Gragn Enki4, Ian Porter5, John Larsen6, Peter Huxley7, Vanessa Pinfold8. 1. McPin Foundation,London. 2. Peninsula Schools of Medicine and Dentistry,Plymouth University,Plymouth. 3. University of York,York. 4. Plymouth University,Plymouth. 5. Primary Care Research,Peninsula Schools of Medicine and Dentistry,Plymouth University,Plymouth. 6. Rethink Mental illness,London. 7. Centre for Mental Health and Society,School of Social Sciences,Bangor. 8. McPin Foundation,London,UK.
Abstract
BACKGROUND: Connectedness is a central dimension of personal recovery from severe mental illness (SMI). Research reports that people with SMI have lower social capital and poorer-quality social networks compared to the general population.AimsTo identify personal well-being network (PWN) types and explore additional insights from mapping connections to places and activities alongside social ties. METHOD: We carried out 150 interviews with individuals with SMI and mapped social ties, places and activities and their impact on well-being. PWN types were developed using social network analysis and hierarchical k-means clustering of this data. RESULTS: Three PWN types were identified: formal and sparse; family and stable; and diverse and active. Well-being and social capital varied within and among types. Place and activity data indicated important contextual differences within social connections that were not found by mapping social networks alone. CONCLUSIONS: Place locations and meaningful activities are important aspects of people's social worlds. Mapped alongside social networks, PWNs have important implications for person-centred recovery approaches through providing a broader understanding of individual's lives and resources.Declaration of interestNone.
BACKGROUND: Connectedness is a central dimension of personal recovery from severe mental illness (SMI). Research reports that people with SMI have lower social capital and poorer-quality social networks compared to the general population.AimsTo identify personal well-being network (PWN) types and explore additional insights from mapping connections to places and activities alongside social ties. METHOD: We carried out 150 interviews with individuals with SMI and mapped social ties, places and activities and their impact on well-being. PWN types were developed using social network analysis and hierarchical k-means clustering of this data. RESULTS: Three PWN types were identified: formal and sparse; family and stable; and diverse and active. Well-being and social capital varied within and among types. Place and activity data indicated important contextual differences within social connections that were not found by mapping social networks alone. CONCLUSIONS: Place locations and meaningful activities are important aspects of people's social worlds. Mapped alongside social networks, PWNs have important implications for person-centred recovery approaches through providing a broader understanding of individual's lives and resources.Declaration of interestNone.
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