Development and validation of population clusters for integrating health and social care: protocol for a mixed methods study in multiple long-term conditions (cluster-artificial intelligence for multiple long-term conditions)
<strong>Background:<br></strong> Multiple long-term health conditions (multimorbidity) (MLTC-M) are increasingly prevalent and associated with high rates of morbidity, mortality, and health care expenditure. Strategies to address this have primarily focused on the biological aspect...
প্রধান লেখক: | Dambha-Miller, H, Simpson, G, Akyea, RK, Hounkpatin, H, Morrison, L, Gibson, J, Stokes, J, Islam, N, Chapman, A, Stuart, B, Zaccardi, F, Zlatev, Z, Jones, K, Roderick, P, Boniface, M, Santer, M, Farmer, A |
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বিন্যাস: | Journal article |
ভাষা: | English |
প্রকাশিত: |
JMIR Publications
2022
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অনুরূপ উপাদানগুলি
অনুরূপ উপাদানগুলি
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Development and Validation of Population Clusters for Integrating Health and Social Care: Protocol for a Mixed Methods Study in Multiple Long-Term Conditions (Cluster-Artificial Intelligence for Multiple Long-Term Conditions)
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প্রকাশিত: (2022-06-01) -
Multiple long-term conditions, loneliness and social isolation: a scoping review of recent quantitative studies
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Clustering by multiple long-term conditions and social care needs: a cross-sectional study among 10 026 older adults in England
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Clustering populations by health and social care with multiple long-term conditions: a cohort study - the English Longitudinal Study of Ageing (ELSA)
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Exploring patient, informal carer and care professional perspectives to understand the key clinical and non-clinical care needs of those living with multiple long-term conditions (MLTC)
অনুযায়ী: Simpson, G, অন্যান্য
প্রকাশিত: (2023)