Written by Rasoul Honarmand, Mostafa Mozhdehifard, Zahra Kavosi
Category: Volume 9, Issue 6, June 2017
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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Keywords: Equality, Human Resource, Gini coefficient, Robin Hood index, Maternal Health
Volume 13, Issue 1, January-March 2021
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The most recent editorial (June 2020)
Lessons from COVID-19 pandemic and the Morocco’s success story.
An editorial by Dr. Benksim Abdelhafid (Morocco)
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: