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Centre for Policy on Ageing | |
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Predicting who will need costly care
— how best to target preventive health, housing and social programmes | | Author(s) | Geraint Lewis |
| Corporate Author | King's Fund; Department for Communities and Local Government - DCLG; Department of Health - DoH |
| Publisher | King's Fund, London, 2007 |
| Pages | 54 pp |
| Source | King's Fund, 11-13 Cavendish Square, London W1G 0AN. |
| Keywords | Admission [care homes] ; Community care ; National Health Service ; Costs [care] ; Mathematical models. |
| Annotation | This is an independent report commissioned by the Department for Communities and Local Government (DCLG) as part of its National Strategy for Housing in an Ageing Society. The brief was to explore the feasibility of developing tools that use routinely collected computerised data to predict which individuals are at risk of needing intensive care social care, which could be used to improve the targeting of preventive interventions. Such tools would be analogous to the successful algorithms recently developed for the National Health Service (NHS) that forecast those at risk of unplanned hospital admission in the forthcoming 12 months. This report explains the relevance to social care of predictive risk modelling. It presents and appraises five types of predictive models for forecasting such need: admissions to care homes from hospital; admissions to care homes; critical status on FACS (fair access to care services); social care costs; and combined NHS and social care costs. (RH). |
| Accession Number | CPA-080227002 B |
| Classmark | KW:QKH: PA: L4: QDC: 3LM |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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