Costs and outcomes of improving population health through better social housing: a cohort study and economic analysis

Int J Public Health. 2017 Dec;62(9):1039-1050. doi: 10.1007/s00038-017-0989-y. Epub 2017 Jun 13.

Abstract

Objectives: We sought to determine the impact of warmth-related housing improvements on the health, well-being, and quality of life of families living in social housing.

Methods: An historical cohort study design was used. Households were recruited by Gentoo, a social housing contractor in North East England. Recruited households were asked to complete a quality of life, well-being, and health service use questionnaire before receiving housing improvements (new energy-efficient boiler and double-glazing) and again 12 months afterwards.

Results: Data were collected from 228 households. The average intervention cost was £3725. At 12-month post-intervention, a 16% reduction (-£94.79) in household 6-month health service use was found. Statistically significant positive improvements were observed in main tenant and household health status (p < 0.001; p = 0.009, respectively), main tenant satisfaction with financial situation (p = 0.020), number of rooms left unheated per household (p < 0.001), frequency of household outpatient appointments (p = 0.001), and accident/emergency department attendance (p < 0.012).

Conclusions: Warmth-related housing improvements may be a cost-effective means of improving the health of social housing tenants and reducing health service expenditure, particularly in older populations.

Keywords: Cohort study; Cost analysis; Cost-consequence analysis; Health economics; Housing; Public Health.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Cohort Studies
  • Costs and Cost Analysis / statistics & numerical data*
  • England
  • Family Characteristics
  • Female
  • Health Expenditures / statistics & numerical data
  • Health Promotion / economics*
  • Health Promotion / methods*
  • Heating / standards
  • Housing / standards*
  • Humans
  • Male
  • Middle Aged
  • Population Health / statistics & numerical data*
  • Quality of Life