Enabling and constraining successful reablement: Individual and neighbourhood factors
Using multilevel logistic regression to analyse management data of reablement episodes collected by Essex County Council, a UK local authority, this article identifies constraining and enabling factors for successful reablement. Overall, 59.5% of reablement clients were classed as able to care for t...
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| Veröffentlicht in: | PloS one 2020-09, Vol.15 (9), p.e0237432-e0237432 |
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| creator | Jacobi, Christopher Justin Thiel, Darren Allum, Nick Navaneetham, Kannan |
| description | Using multilevel logistic regression to analyse management data of reablement episodes collected by Essex County Council, a UK local authority, this article identifies constraining and enabling factors for successful reablement. Overall, 59.5% of reablement clients were classed as able to care for themselves when assessed after 13 weeks following the reablement intervention (N = 8,118). Several age-related, disability, referral, and social factors were found to constrain reablement, but some of the largest constraining effects were neighbourhood deprivation as measured through the Index of Multiple Deprivation and, particularly, unfavourable geodemographic profiles as measured through Experian Mosaic consumer classifications. The results suggest that in order to optimise reablement, programmes should consider broader social and environmental influences on reablement rather than only individual and organisational aspects. Reablement might also be better tailored and intensified for client groups with particular underlying disabilities and for those displaying specific geodemographic characteristics. |
| doi_str_mv | 10.1371/journal.pone.0237432 |
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Overall, 59.5% of reablement clients were classed as able to care for themselves when assessed after 13 weeks following the reablement intervention (N = 8,118). Several age-related, disability, referral, and social factors were found to constrain reablement, but some of the largest constraining effects were neighbourhood deprivation as measured through the Index of Multiple Deprivation and, particularly, unfavourable geodemographic profiles as measured through Experian Mosaic consumer classifications. The results suggest that in order to optimise reablement, programmes should consider broader social and environmental influences on reablement rather than only individual and organisational aspects. 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Reablement might also be better tailored and intensified for client groups with particular underlying disabilities and for those displaying specific geodemographic characteristics.</description><subject>Age</subject><subject>Biology and Life Sciences</subject><subject>Classification</subject><subject>Computer and Information Sciences</subject><subject>Constraining</subject><subject>County councils</subject><subject>Deprivation</subject><subject>Disabilities</subject><subject>Earth Sciences</subject><subject>Geodemographics</subject><subject>Health aspects</subject><subject>Home care</subject><subject>Intervention</subject><subject>Local government</subject><subject>Management</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Neighborhoods</subject><subject>Occupational therapy</subject><subject>People and Places</subject><subject>Regression analysis</subject><subject>Rehabilitation</subject><subject>Social ecology</subject><subject>Social 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management data of reablement episodes collected by Essex County Council, a UK local authority, this article identifies constraining and enabling factors for successful reablement. Overall, 59.5% of reablement clients were classed as able to care for themselves when assessed after 13 weeks following the reablement intervention (N = 8,118). Several age-related, disability, referral, and social factors were found to constrain reablement, but some of the largest constraining effects were neighbourhood deprivation as measured through the Index of Multiple Deprivation and, particularly, unfavourable geodemographic profiles as measured through Experian Mosaic consumer classifications. The results suggest that in order to optimise reablement, programmes should consider broader social and environmental influences on reablement rather than only individual and organisational aspects. 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| subjects | Age Biology and Life Sciences Classification Computer and Information Sciences Constraining County councils Deprivation Disabilities Earth Sciences Geodemographics Health aspects Home care Intervention Local government Management Medicine and Health Sciences Methods Neighborhoods Occupational therapy People and Places Regression analysis Rehabilitation Social ecology Social factors Social Sciences Socioeconomic factors Sociology |
| title | Enabling and constraining successful reablement: Individual and neighbourhood factors |
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