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Understanding household health through data linkage.

Mai Stafford, Sarah Deeny, Kathryn Marszalek, Jenny Shand · International Journal of Population Data Science · 2022

ObjectivesHousehold factors can affect the level and type of health and social care a person with long-term conditions needs. Information on household composition and health needs within households is not easily available in routine health records but linked data from health providers and local government can address this gap. ApproachIndividual-level linked data from local government services, health providers and health commissioners in Barking and Dagenham was used. This provided sociodemographic, health and household information alongside activity data for five care settings (primary care, hospital, community, inpatient and outpatient mental health services, and social care). We identified 9222 residents aged 50+ living in two-person households between April 2016 and March 2018. Their long-term conditions were counted using primary care data. Annualised use and cost of care services were compared for households with one versus both residents having two or more long-term conditions (known as “multimorbidity”). ResultsOver 45% of multimorbid people in two-person households were co-resident with another multimorbid person. This percentage was higher in the most deprived areas. I

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