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- W4323821510 abstract "Abstract Objectives To address the lack of individual-level socioeconomic information in electronic health care records, we linked the 2011 census of England and Wales to patient mental health records from a large secondary mental healthcare provider. This paper describes the linkage process and methods for mitigating bias due to non-matching. Setting South London and Maudsley NHS Foundation Trust (SLaM), a mental health care provider in southeast London. Design Clinical records from SLaM were supplied to the Office of National Statistics (ONS) for linkage to the Census through a deterministic matching algorithm. We examined clinical (ICD-10 diagnosis, history of hospitalisation, frequency of service contact) and sociodemographic (age, gender, ethnicity, deprivation) information recorded in CRIS, as predictors of linkage success with the 2011 Census. To assess and adjust for potential biases caused by non-matching, we evaluated inverse probability weighting for mortality associations. Participants Individuals of all ages in contact with SLaM up until December 2019 (N=459,374). Outcome measures: Likelihood of mental health records' linkage to census. Results 220,864 (50.4%) records from CRIS linked to the 2011 census. Young adults (Prevalence ratio (PR) 0.80, 95% CI 0.80-0.81), individuals living in more deprived areas (PR 0.78,0.78-0.79), and minority ethnic groups (e.g., Black African, PR 0.67, 0.66-0.68) were less likely to match to Census. After implementing inverse probability weighting, we observed little change in the strength of association between clinical/demographic characteristics and mortality (e.g., presence of any psychiatric disorder: unweighted PR 2.66, 95% CI 2.52, 2.80; weighted PR 2.70, 95% CI 2.56, 2.84) Conclusions Lower response rates to the 2011 census amongst people with psychiatric disorders may have contributed to lower match rates, a potential concern as the census informs service planning and allocation of resources. Due to its size and unique characteristics, the linked dataset will enable novel investigations into the relationship between socioeconomic factors and psychiatric disorders in the future." @default.
- W4323821510 created "2023-03-11" @default.
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- W4323821510 date "2023-03-10" @default.
- W4323821510 modified "2023-09-28" @default.
- W4323821510 title "Improving our understanding of the social determinants of mental health: A data linkage study of mental health records and the 2011 UK census." @default.
- W4323821510 doi "https://doi.org/10.1101/2023.03.10.23287114" @default.
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