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. 2019 Sep 2;19(1):620.
doi: 10.1186/s12913-019-4473-7.

Income inequality among general practitioners in Iran: a decomposition approach

Mohsen Bayati  1 , Arash Rashidian  2   3 , Yaser Sarikhani  4 , Saeed Lohivash  1
Affiliations

Income inequality among general practitioners in Iran: a decomposition approach

Mohsen Bayati et al. BMC Health Serv Res. .

Abstract

Background: General practitioners (GPs) are among the most important resources of healthcare system and public health is considerably influenced by the function of this group. Income inequality among GPs considerably affects the motivation and performance of this group. The present study aims to examine the income inequality among Iranian GPs in order to provide the necessary evidence for health human resource policy.

Methods: In this cross-sectional study, the distribution of income and wage inequality among GPs was investigated using income quintiles. We also used the Dagum's model to analyze the inequality between different groups of GPs through the decomposition of the Gini coefficient. Moreover, a regression model was used to determine the effective factors on GPs' income.

Results: The results of this study indicated that income and wages of GPs in the highest quintile were eight times more than those of doctors at the lowest quintile. Regression estimates showed that factors such as gender, practice setting, and activity as the family physician (P < 0.001) were effective on income of GPs; and also male and self-employed GPs had significantly more wage (P < 0.001). Total Gini coefficient of GPs' income and wage were estimated at 0.403 and 0.412, respectively. Highest monthly income was found in GPs with 16-20 years practice experience ($8358) based on Purchasing Power Parity (PPP), male ($8339 PPP), and self-employed GPs ($8134 PPP) subgroup. However, the female ($5389 PPP) and single ($5438 PPP) GPs had the lowest income. Population share; income/wage share; income/wage mean; Gini coefficient; and within, between and overlap decomposed components of Gini coefficient are also reported for each GPs subgroups.

Conclusions: We found significant inequalities in income and wages among Iranian GPs. Adjustment of income based on working hours indicated that one of the most common causes of income inequality among GPs in Iran was different workloads among different groups. Since the motivation and function of physicians can be influenced by income inequality, policymakers in the health system should consider factors increasing such inequalities.

Keywords: General practitioner; Income gap; Income inequality; Remuneration.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Lorenz curves for income distribution among different groups of Iranian GPs
Fig. 2
Fig. 2
Lorenz curves for wage distribution among different groups of Iranian GPs
See this image and copyright information in PMC

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