Socioeconomic inequality in health domains in Tehran: a population-based cross-sectional study. Issue 2 (28th February 2018)

• Record Type: Journal Article
• Authors: Baigi, Vali; Nedjat, Saharnaz; Hosseinpoor, Ahmad Reza; Sartipi, Majid; Salimi, Yahya; Fotouhi, Akbar
• Is Part Of: BMJ open. Volume 8:Issue 2(2018)
• Publication Date: 2018-02-28
• Subjects: inequality -- inequity -- social status -- Iran -- relative index of inequality; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2017-018298
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Objective: Reduction of socioeconomic inequality in health requires appropriate evidence on health and its distribution based on socioeconomic indicators. The objective of this study was to assess socioeconomic inequality in various health domains and self-rated health (SRH). Methods: This study was conducted using data collected in a survey in 2014 on a random sample of individuals aged 18 and above in the city of Tehran. The standardised World Health Survey Individual Questionnaire was used to assess different health domains. The age-adjusted prevalence of poor health was calculated for each health domain and SRH based on levels of education and wealth quintiles. Furthermore, the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were applied to assess socioeconomic inequality in each of the health domains and SRH. Results: The age-adjusted prevalence of poor health was observed in a descending order from the lowest to the highest wealth quintiles, and from the lowest level of education to the highest. RII also showed varying values of inequality among different domains, favouring rich subgroups. The highest wealth-related RII was observed in the 'Mobility' domain with a value of 4.16 (95% CI 2.01 to 8.62), and the highest education-related RII was observed in the 'Interpersonal Activities' domain with a value of 6.40 (95% CI 1.91 to 21.36). Conclusions: Substantial socioeconomic inequalities were observed in different health domains in favour of groups of better socioeconomic status. Based on these results, policymaking aimed at tackling inequalities should pay attention to different health domains as well as to overall health.