Determinants of inequity in health care services utilization in Markazi province of Iran

Type Journal Article - Iranian Red Crescent Medical Journal
Title Determinants of inequity in health care services utilization in Markazi province of Iran
Author(s)
Volume 15
Issue 5
Publication (Day/Month/Year) 2013
Page numbers 363-370
URL http://www.ircmj.com/index.php?page=article&article_id=3525
Abstract
Background: National and international statistics from Iran have indicated that progresses and achievements have been made for most health indicators, but there are differences in some indicators in special groups and at the provincial level.

Objectives: Our aim was to assess the main predictors of inequity in seeking Health Care Utilities (HCU) locally.

Patients and Methods: Data gathered from the HCU survey, which was conducted in the Markazi province of Iran during 2008, was used in the present study. A systematic sampling method, based on the Iranian household framework, was applied in order to choose 758 households as well as 2711 individuals. The household wealth index constructed by Principle Component Analysis (PCA) and robust login link function in Generalized Estimation Equation (GEE) model were used in order to determine the predictors of inequity.

Results: 66.4% of those in need sought outpatient health care from which 97.7% received appropriate services. After adjustment for the clustering effect of household as well as confounding effect of the covariates, GEE model showed that there were inequities in HCU for females (OR = 2.44, CI; 1.24- 4.81) and subjects with inpatient need (OR = 2.14, CI: 1.23-3.72). Being in the lowest quintile of household wealth index was associated with the lower use of outpatient health services (OR = 0.45, CI; 0.23- 0.88).

Conclusions: In spite of improvements in the national health indicator, different groups of people use health care services differently, but these inequities in HCU are related to social and individual factors. Also, it is clear that health sector facilities and the accessibility to health services are not the only predictors.

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