Social Environment and Hospitalisation after Release from Prison: A Prospective Cohort Study

Int J Environ Res Public Health. 2017 Nov 17;14(11):1406. doi: 10.3390/ijerph14111406.

Abstract

This study examined the association between remoteness and area disadvantage, and the rate of subsequent hospitalisation, in a cohort of adults released from prisons in Queensland. A baseline survey of 1267 adult prisoners within 6 weeks of expected release was prospectively linked with hospital, mortality and reincarceration records. Postcodes were used to assign remoteness and area disadvantage categories. Multivariate Andersen-Gill regression models were fitted to test for associations between remoteness, area disadvantage and hospitalisation after release from prison. Over a total of 3090.9 person-years of follow-up, the highest crude incidence rates were observed in areas characterised by remoteness and area disadvantage (crude incidence rate (IR) = 649; 95%CI: 526-791), followed by remoteness only (IR = 420; 95%CI: 349-501), severe area disadvantage only (IR = 403; 95%CI: 351-461), and neither of these factors (IR = 361; 95%CI: 336-388). Unadjusted analyses indicated that remoteness (hazard ratio (HR) = 1.32; 95%CI: 1.04-1.69; p = 0.024) was associated with increased risk of hospitalisation; however, this attenuated to the null after adjustment for covariate factors. The incidence of hospitalisation for those who live in remote or socio-economically disadvantaged areas is increased compared to their counterparts in more urban and less socio-economically disadvantaged areas. Experiencing both these factors together may compound the hospitalisation in the community.

Keywords: environmental health; health equity; health priorities; health services; hospitalization; population health.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Cohort Studies
  • Female
  • Hospitalization / statistics & numerical data*
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Prisoners / statistics & numerical data*
  • Proportional Hazards Models
  • Prospective Studies
  • Queensland / epidemiology
  • Regression Analysis
  • Risk Assessment
  • Rural Population / statistics & numerical data*
  • Social Environment*
  • Urban Population / statistics & numerical data*
  • Young Adult