Whole Systems Data Project: Using a linked dataset to investigate the association between wider determinants, health outcomes, service usage and costs
PHE ePoster Library. Jones S. Sep 12, 2019; 274429; 227
Samuel Jones
Samuel Jones
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Abstract
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Abstract BackgroundThe Whole Systems Data Project (WSDP) aims to establish an integrated health, social care and wider determinants of health dataset across Tower Hamlets. This innovative project follows Section 251 approval for Tower Hamlets local authority and partners to link and manage an integrated health dataset for the local population at an individual level. MethodsCouncil datasets - including housing, school pupil census and social care - were linked together based on personal identifiers and unique property reference number (UPRN). Health datasets across primary care and secondary care were linked together using NHS Number, and was then linked to council datasets using UPRN. Data will be aggregated for the Borough and segmented across population groups. This will allow for cross-tabulation calculations and multivariate regression analysis.
Results
Initial results have highlighted the increased average cost of secondary care for residents in the most deprived neighbourhoods in the Borough, and the cumulative association of increased health costs with age and for those residents who smoke or who are obese. Further findings, based on the outcomes of our regression analysis for a range of risk factor variables, will be presented in our poster.
Conclusions
A fully integrated and linked dataset across the council and health domains has provided us with a more complete picture of our residents - in terms of their housing environment, health service usage and health outcomes. This will inform local strategies and target resource allocation, and commissioning of services, based on the needs of populations under the principles of proportionate universalism. External funding details
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