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. 2023 Apr 1;33(2):249-256.
doi: 10.1093/eurpub/ckad034.

Co-occurring homelessness, justice involvement, opioid dependence and psychosis: a cross-sectoral data linkage study

Affiliations

Co-occurring homelessness, justice involvement, opioid dependence and psychosis: a cross-sectoral data linkage study

Emily J Tweed et al. Eur J Public Health. .

Abstract

Background: Administrative data offer unique opportunities for researching experiences which pose barriers to participation in primary research and household surveys. Experiencing multiple social disadvantages is associated with very poor health outcomes, but little is known about how often this occurs and what combinations are most common. We linked administrative data across public services to create a novel population cohort containing information on experiences of homelessness, justice involvement, opioid dependence and psychosis.

Methods: We securely linked administrative data from (i) a population register derived from general practitioner registrations; (ii) local authority homelessness applications; (iii) prison records; (iv) criminal justice social work reports; (v) community dispensing for opioid substitution therapy; and (vi) a psychosis clinical register, for people aged ≥18 years resident in Glasgow, Scotland between 01 April 2010 and 31 March 2014. We estimated period prevalence and compared demographic characteristics for different combinations.

Results: Of 536 653 individuals in the cohort, 28 112 (5.2%) had at least one of the experiences of interest during the study period and 5178 (1.0%) had more than one. Prevalence of individual experiences varied from 2.4% (homelessness) to 0.7% (psychosis). The proportion of people with multiple co-occurring experiences was highest for imprisonment (50%) and lowest for psychosis (14%). Most combinations showed a predominance of men living in the most deprived areas of Scotland.

Conclusions: Cross-sectoral record linkage to study multiple forms of social disadvantage showed that co-occurrence of these experiences was relatively common. Following this demonstration of feasibility, these methods offer opportunities for evaluating the health impacts of policy and service change.

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Figures

Figure 1
Figure 1
Schematic diagram illustrating linkage process for creation of cohort
Figure 2
Figure 2
UpSet plot showing frequency of mutually exclusive exposure combinations (vertical bars) and any exposure (horizontal bars) among adults living in Glasgow City, 01 April 2010–31 March 2014
Figure 3
Figure 3
(a) Percentage male (with 95% confidence intervals) among adults living in Glasgow City, stratified by exposure to experiences of disadvantage (01 April 2010–31 March 2014). (b) Boxplot of age distribution among adults living in Glasgow City, stratified by exposure to experiences of disadvantage (01 April 2010–31 March 2014). (c) Scottish Index of Multiple Deprivation quintile distribution among adults living in Glasgow City, by exposure to experiences of disadvantage (01 April 2010–31 March 2014)

References

    1. Connelly R, Playford CJ, Gayle V, Dibben C.. The role of administrative data in the big data revolution in social science research. Soc Sci Res 2016;59:1–12. - PubMed
    1. Lyons RA, Ford DV, Moore L, Rodgers SE.. Use of data linkage to measure the population health effect of non-health-care interventions. Lancet 2014;383:1517–9. - PubMed
    1. Academy of Medical Sciences. Improving the Health of the Public by 2040: Optimising the Research Environment for a Fairer, Healthier Future. London: Academy of Medical Sciences, 2016.
    1. Rutter H, Savona N, Glonti K, et al. The need for a complex systems model of evidence for public health. Lancet 2017;390:2602–4. - PubMed
    1. Bonevski B, Randell M, Paul C, et al. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med Res Methodol 2014;14:42. - PMC - PubMed

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