1. Improving our understanding of the social determinants of mental health: a data linkage study of mental health records and the 2011 UK census.
- Author
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Cybulski L, Chilman N, Jewell A, Dewey M, Hildersley R, Morgan C, Huck R, Hotopf M, Stewart R, Pritchard M, Wuerth M, and Das-Munshi J
- Subjects
- Young Adult, Humans, Social Determinants of Health, England, London epidemiology, Information Storage and Retrieval, Electronic Health Records, Mental Health, Censuses
- Abstract
Objectives: To address the lack of individual-level socioeconomic information in electronic healthcare records, we linked the 2011 census of England and Wales to patient records from a large 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 healthcare provider in Southeast London., Design: Clinical records from SLaM were supplied to the Office of National Statistics for linkage to the census through a deterministic matching algorithm. We examined clinical (International Classification of Disease-10 diagnosis, history of hospitalisation, frequency of service contact) and socio-demographic (age, gender, ethnicity, deprivation) information recorded in Clinical Record Interactive Search (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 to 0.81), individuals living in more deprived areas (PR 0.78, 95% CI 0.78 to 0.79) and minority ethnic groups (eg, Black African, PR 0.67, 0.66 to 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 (eg, presence of any psychiatric disorder: unweighted PR 2.66, 95% CI 2.52 to 2.80; weighted PR 2.70, 95% CI 2.56 to 2.84)., Conclusions: Lower response rates to the 2011 census among 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 data set will enable novel investigations into the relationship between socioeconomic factors and psychiatric disorders., Competing Interests: Competing interests: MH is principal investigator of the RADAR-CNS, a precompetitive public–private collaboration on mobile health funded by the Innovative Medicine Initiative with cash and in-kind contributions paid to the university from Janssen, Lundbeck, UCB, MSD and Biogen. RS declares research support in the last 3 years from Janssen, GSK and Takeda., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)
- Published
- 2024
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