Geographic distribution indices of general practitioners, midwives, pediatricians, and gynecologists in the public sector of Iran

Authors

  • Zahra Kavosi Ph.D. of Health Management, Associate Professor, Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran , Ph.D. of Health Management, Associate Professor, Health Human Resources Research Center, School of Management & Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran

Keywords:

Equality, Human Resource, Gini coefficient, Robin Hood index, Maternal Health

Abstract

Background: Health workforce distribution is so important in access posture, coverage and equity. Following millennium development goals (MDGs), special attention to health workforces in relation with maternal and child health is required. 

Objective: The aim of the current study was to determine distribution of maternal and child health related workforces in Iran during 2010-2012, using inequality measures.

Methods: In this cross-sectional study, data about the number of physicians and midwives obtained from Ministry of Health reports and demographic statistics were obtained from the Statistical Center of Iran. Gini coefficient and Robin Hood index were calculated in terms of population ratio, need adjusted index for birth (NAIB) and need adjusted index for mortality (NAIM). For calculations, DAD software version 4.6 was used.

Results: Gini coefficient was reduced for general physicians (GPs) and pediatricians, and had increasing and decreasing trends for gynecologists. For achieving equality within provinces, the number of transferable health workforces was more than 1 person per 10 health workforces. 

Conclusion: Health workforce distribution had various trends in Iran. Special attention to deprived provinces is required. Most of the reduction in Gini coefficient is due to the increase in health workforce in developing provinces, and deprived provinces still have serious problems. The health system could achieve better equality by considering deprived provinces and using Gini coefficient and Robin Hood index together.

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Published

2022-01-18

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