ABSTRACT
Background: Migration of physicians from less developed countries to affluent ones has become as one of the major concerns of human resource policy-makers. This leads to problems such as inequity in the distribution of physicians, lack of physicians in less developed areas, as well as an excess of the health workforce in developed environs. Thus, policy-makers aim to increase retention of physicians in their places of origin.
Aims: This study aimed to find those effective factors for the retention of physicians in the Islamic Republic of Iran.
Methods: 30 569 records of public sector physicians in 2016 were gathered from the Ministry of Health and Medical Education database, and the retention rate of each province was calculated. Geographic information system [GIS] was used to show retention in each province, and linear and logistic regression analysis were used to determine the effective factors for physicians' retention in the country.
Results: There was a significant relationship between per capita gross domestic product of each province and its retention rate of physicians [OR = 1.56], retention rate of family physicians [OR = 7.38], and retention rate of specialists [OR = 1.59]. In addition, relationships were significant for the human development index [all physicians [OR = 1.22], family physicians [OR = 2.36], and specialists [OR = 1.23]]. Married physicians, higher paid physicians, and those who worked in headquarters and clinics showed greater willingness to stay in their area of origin.
Conclusions: Physicians' retention rate is dependent on both macro and microlevel factors.
Subject(s)
Humans , Male , Female , Public Sector , Specialization , Physicians, FamilyABSTRACT
Background: Skilled labor force is very important in economic growth. Workers become skilled when they are healthy and able to be educated and work. In this study, we estimated the effects of health indicators on labor supply. We used labor force participation rate as the indicator of labor supply. We categorized this indicator into 2 indicators of female and male labor force participation rates and compared the results of each estimate with the other
Methods: This study was done in eastern Mediterranean countries between 1995 and 2011. We used a panel cointegration approach for estimating the models. We used Pesaran cross sectional dependency, Pesaran unit root test, and Westerlund panel cointegration for this issue. At the end, after confirmation of having random effect models, we estimated them with random effects
Results: Increasing the fertility rate decreased the female labor supply, but increased the male labor supply. However, public health expenditures increased the female labor supply, but decreased the male labor supply because of substitution effects. Similar results were found regarding urbanization. Gross domestic product had a positive relationship with female labor supply, but not with male labor supply. Besides, out of pocket health expenditures had a negative relationship with male labor supply, but no significant relationships with female labor supply
Conclusion: The effects of the health variables were more severe in the female labor supply model compared to the male model. Countries must pay attention to women's health more and more to change the labor supply