Poor health-related quality of life in Iran
Decomposition Analysis of Affecting Factors
Bibliographic Data
| ID | 6150771 |
|---|---|
| Authors | Ali Kazemi Karyani (0000-0002-4448-9317, Kermanshah University of Medical Sciences), Satar Rezaei (0000-0002-6194-6057, Kermanshah University of Medical Sciences), Behzad Karami Matin (0000-0002-8432-2079, Kermanshah University of Medical Sciences), Saeed Amini (0000-0003-1512-245X, Arak University of Medical Sciences) |
| Year | 2018 |
| Volume | 12 |
| Issue | 1 |
| Pages | 28-37 |
| Publication date | 2018-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Human Rights in Healthcare (JOURNAL) |
| Journal identifiers | ISSN: 2056-4902 • E-ISSN: 2056-4910 |
| Publisher | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/ijhrh-05-2018-0036 |
| OpenAlex | W2895769121 |
| Language | EN |
| Citations received | 4 |
| References cited | 23 |
Purpose Poor health-related quality of life (HRQoL) is one of the important issues in the health sector. The purpose of this paper is to investigate the prevalence and socio-economic inequality in poor HRQoL in Tehran city, Iran. Design/methodology/approach In total, 562 adults were included in this cross-sectional study. The cluster sampling method was used for data collection from May to June, 2016 in Tehran city, Iran. Data on HRQoL, using EuroQol 5-dimensions questionnaire, and data on socio-economic and demographic variables were gathered. Convenience regression method was performed to measure the concentration index (CI). Decomposition analysis was performed to determine the contribution of variables on socio-economic inequality in poor HRQoL. All analyses were performed by Stata v.14. Findings The prevalence of poor HRQoL was 28.3 percent. The value of CI for “poor HRQoL” was −0.299 (95% confidence interval: −0.402 to −0.195). Socio-economic status (SES) was the largest contributor to socio-economic inequality in poor HRQoL (69.44 percent of inequality was explained by SES). Age, obesity and race had a positive contribution to socio-economic inequality in poor HRQoL among the participants. Nonetheless, sex and smoking intensity had a negative contribution to inequality in poor HRQoL. Originality/value There is little evidence about the prevalence of poor HRQoL in insured people. This study provided new evidence in this area through the investigation of socio-economic inequality in poor HRQoL and its determinants among people with health insurance in Iran using decomposition analysis
Cluster sampling · Confidence interval · Environmental health · Index (typography · Inequality · Population · Quality of life (healthcare · Socioeconomic status · Demography · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Healthcare Systems and Reforms · Medicine · Gerontology
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| Citations per year | 0.57 |
|---|---|
| Citation span | 2019 - 2026 (8) |
| Highly cited | No |