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Published in: BMC Health Services Research 1/2019

Open Access 01-12-2019 | Research article

Income inequality among general practitioners in Iran: a decomposition approach

Authors: Mohsen Bayati, Arash Rashidian, Yaser Sarikhani, Saeed Lohivash

Published in: BMC Health Services Research | Issue 1/2019

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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.
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Literature
1.
go back to reference Diallo K, Zurn P, Gupta N, Dal Poz M. Monitoring and evaluation of human resources for health: an international perspective. Hum Resour Health. 2003;1(1):3.CrossRef Diallo K, Zurn P, Gupta N, Dal Poz M. Monitoring and evaluation of human resources for health: an international perspective. Hum Resour Health. 2003;1(1):3.CrossRef
2.
go back to reference Alameddine M, Saleh S, El-Jardali F, Dimassi H, Mourad Y. The retention of health human resources in primary healthcare centers in Lebanon: a national survey. BMC Health Serv Res. 2012;12(1):419.CrossRef Alameddine M, Saleh S, El-Jardali F, Dimassi H, Mourad Y. The retention of health human resources in primary healthcare centers in Lebanon: a national survey. BMC Health Serv Res. 2012;12(1):419.CrossRef
3.
go back to reference Roberts M, Hsiao W, Berman P, Reich M. Getting health reform right: a guide to improving performance and equity. Oxford: Oxford university press; 2003. p. 222–53. Roberts M, Hsiao W, Berman P, Reich M. Getting health reform right: a guide to improving performance and equity. Oxford: Oxford university press; 2003. p. 222–53.
4.
go back to reference Willis-Shattuck M, Bidwell P, Thomas S, Wyness L, Blaauw D, Ditlopo P. Motivation and retention of health workers in developing countries: a systematic review. BMC Health Serv Res. 2008;8(1):247.CrossRef Willis-Shattuck M, Bidwell P, Thomas S, Wyness L, Blaauw D, Ditlopo P. Motivation and retention of health workers in developing countries: a systematic review. BMC Health Serv Res. 2008;8(1):247.CrossRef
5.
go back to reference Rad EH, Bayazidi Y, Delavari S, Rezaei S. Gender gap and inequality in health professionals’ income in Iran. Med J Bakirköy. 2016;12(2):70–5. Rad EH, Bayazidi Y, Delavari S, Rezaei S. Gender gap and inequality in health professionals’ income in Iran. Med J Bakirköy. 2016;12(2):70–5.
6.
go back to reference Lewis M. Informal payments and the financing of health care in developing and transition countries. Health Aff (Project Hope). 2007;26(4):984–97.CrossRef Lewis M. Informal payments and the financing of health care in developing and transition countries. Health Aff (Project Hope). 2007;26(4):984–97.CrossRef
7.
go back to reference Stringhini S, Thomas S, Bidwell P, Mtui T, Mwisongo A. Understanding informal payments in health care: motivation of health workers in Tanzania. Hum Resour Health. 2009;7:53.CrossRef Stringhini S, Thomas S, Bidwell P, Mtui T, Mwisongo A. Understanding informal payments in health care: motivation of health workers in Tanzania. Hum Resour Health. 2009;7:53.CrossRef
8.
go back to reference Nekoeimoghadam M, Esfandiari A, Ramezani F, Amiresmaili M. Informal payments in healthcare: a case study of Kerman province in Iran. Int J Health Policy Manag. 2013;1(2):157.CrossRef Nekoeimoghadam M, Esfandiari A, Ramezani F, Amiresmaili M. Informal payments in healthcare: a case study of Kerman province in Iran. Int J Health Policy Manag. 2013;1(2):157.CrossRef
9.
go back to reference El Koussa M, Atun R, Bowser D, Kruk ME. Factors influencing physicians’ choice of workplace: systematic review of drivers of attrition and policy interventions to address them. J Glob Health. 2016;6(2):020403.CrossRef El Koussa M, Atun R, Bowser D, Kruk ME. Factors influencing physicians’ choice of workplace: systematic review of drivers of attrition and policy interventions to address them. J Glob Health. 2016;6(2):020403.CrossRef
10.
go back to reference Kanchanachitra C, Lindelow M, Johnston T, Hanvoravongchai P, Lorenzo FM, Huong NL, et al. Human resources for health in Southeast Asia: shortages, distributional challenges, and international trade in health services. Lancet. 2011;377(9767):769–81.CrossRef Kanchanachitra C, Lindelow M, Johnston T, Hanvoravongchai P, Lorenzo FM, Huong NL, et al. Human resources for health in Southeast Asia: shortages, distributional challenges, and international trade in health services. Lancet. 2011;377(9767):769–81.CrossRef
11.
go back to reference Van Lerberghe W, Conceicaõ C, Van Damme W, Ferrinho P. When staff is underpaid: dealing with the individual coping strategies of health personnel. Bull World Health Organ. 2002;80(7):581–4.PubMedPubMedCentral Van Lerberghe W, Conceicaõ C, Van Damme W, Ferrinho P. When staff is underpaid: dealing with the individual coping strategies of health personnel. Bull World Health Organ. 2002;80(7):581–4.PubMedPubMedCentral
12.
go back to reference Cooper RA, Getzen TE, McKee HJ, Laud P. Economic and demographic trends signal an impending physician shortage. Health Aff. 2002;21(1):140–54.CrossRef Cooper RA, Getzen TE, McKee HJ, Laud P. Economic and demographic trends signal an impending physician shortage. Health Aff. 2002;21(1):140–54.CrossRef
13.
go back to reference Bodenheimer T, Berenson RA, Rudolf P. The primary care–specialty income gap: why it matters. Ann Intern Med. 2007;146(4):301–6.CrossRef Bodenheimer T, Berenson RA, Rudolf P. The primary care–specialty income gap: why it matters. Ann Intern Med. 2007;146(4):301–6.CrossRef
14.
go back to reference Sigsbee B. The income gap: specialties vs primary care or procedural vs nonprocedural specialties? Neurology. 2011;76(10):923–6.CrossRef Sigsbee B. The income gap: specialties vs primary care or procedural vs nonprocedural specialties? Neurology. 2011;76(10):923–6.CrossRef
15.
go back to reference Connell J. Migration of health workers in the Asia Pacific region. Sydney: Human Resources for Health Knowledge Hub, School of Public Health and Community Medicine, University of New South Wales, Sydney; 2010. Connell J. Migration of health workers in the Asia Pacific region. Sydney: Human Resources for Health Knowledge Hub, School of Public Health and Community Medicine, University of New South Wales, Sydney; 2010.
16.
go back to reference Cheng TC, Scott A, Jeon SH, Kalb G, Humphreys J, Joyce C. What factors influence the earnings of general practitioners and medical specialists? Evidence from the medicine in Australia: balancing employment and life survey. Health Econ. 2012;21(11):1300–17.CrossRef Cheng TC, Scott A, Jeon SH, Kalb G, Humphreys J, Joyce C. What factors influence the earnings of general practitioners and medical specialists? Evidence from the medicine in Australia: balancing employment and life survey. Health Econ. 2012;21(11):1300–17.CrossRef
17.
go back to reference Dumontet M, Le Vaillant M, Franc C. What determines the income gap between French male and female GPs-the role of medical practices. BMC Fam Pract. 2012;13(1):94.CrossRef Dumontet M, Le Vaillant M, Franc C. What determines the income gap between French male and female GPs-the role of medical practices. BMC Fam Pract. 2012;13(1):94.CrossRef
18.
go back to reference Bayati M, Rashidian AA. Descriptive Study of Economic Behavior of GPs in Iran: Practice Income, Hours of Work, and Patient Visits. Int J Prev Med. In press. Bayati M, Rashidian AA. Descriptive Study of Economic Behavior of GPs in Iran: Practice Income, Hours of Work, and Patient Visits. Int J Prev Med. In press.
19.
go back to reference Jahan S, Jespersen E, Mukherjee S, Kovacevic M, Bonini A, Calderon C, et al. Human development report 2015: work for human development. New York: UNDP; 2015. Jahan S, Jespersen E, Mukherjee S, Kovacevic M, Bonini A, Calderon C, et al. Human development report 2015: work for human development. New York: UNDP; 2015.
20.
go back to reference Bolyard W. Identifying factors that influence gender disparities in physician income: implications for public policy. Orlando: University of Central Florida; 2006. Bolyard W. Identifying factors that influence gender disparities in physician income: implications for public policy. Orlando: University of Central Florida; 2006.
21.
go back to reference Lin H-C, Kao S, Tang C-H, Chang W-Y. Using a population-based database to explore the inter-specialty differences in physician practice incomes in Taiwan. Health Policy. 2005;73(3):253–62.CrossRef Lin H-C, Kao S, Tang C-H, Chang W-Y. Using a population-based database to explore the inter-specialty differences in physician practice incomes in Taiwan. Health Policy. 2005;73(3):253–62.CrossRef
22.
go back to reference Bashaw DJ, Heywood JS. The gender earnings gap for US physicians: has equality been achieved? Labour. 2001;15(3):371–91.CrossRef Bashaw DJ, Heywood JS. The gender earnings gap for US physicians: has equality been achieved? Labour. 2001;15(3):371–91.CrossRef
23.
go back to reference Spencer ES, Deal AM, Pruthi NR, Gonzalez CM, Kirby EW, Langston J, et al. Gender differences in compensation, job satisfaction and other practice patterns in urology. J Urol. 2016;195(2):450–5.CrossRef Spencer ES, Deal AM, Pruthi NR, Gonzalez CM, Kirby EW, Langston J, et al. Gender differences in compensation, job satisfaction and other practice patterns in urology. J Urol. 2016;195(2):450–5.CrossRef
24.
go back to reference Bayati M, Rashidian A. Target income and its determinants for general physicians: an instrumental variables approach. Int J Healthcare Manage. 2018;11(3):260–8.CrossRef Bayati M, Rashidian A. Target income and its determinants for general physicians: an instrumental variables approach. Int J Healthcare Manage. 2018;11(3):260–8.CrossRef
25.
go back to reference Morris S, Goudie R, Sutton M, Gravelle H, Elliott R, Hole AR, et al. Determinants of general practitioners’ wages in England. Health Econ. 2011;20(2):147–60.CrossRef Morris S, Goudie R, Sutton M, Gravelle H, Elliott R, Hole AR, et al. Determinants of general practitioners’ wages in England. Health Econ. 2011;20(2):147–60.CrossRef
26.
go back to reference Samson A-L. Low-income self-employed GPs: a preference for leisure? UK, Department of Economics, University of York. York: HEDG University of York; 2010. Samson A-L. Low-income self-employed GPs: a preference for leisure? UK, Department of Economics, University of York. York: HEDG University of York; 2010.
27.
go back to reference Duckett JM. A dose of discrimination: the gender wage-gap between men and women in medical professions; 2007. Duckett JM. A dose of discrimination: the gender wage-gap between men and women in medical professions; 2007.
28.
go back to reference Rizzo JA, Zeckhauser RJ. Reference incomes, loss aversion, and physician behavior. Rev Econ Stat. 2003;85(4):909–22.CrossRef Rizzo JA, Zeckhauser RJ. Reference incomes, loss aversion, and physician behavior. Rev Econ Stat. 2003;85(4):909–22.CrossRef
29.
go back to reference Carvajal MJ, Armayor GM. Inequalities in the distribution of pharmacists’ wage-and-salary earnings: indicators and their development. Res Soc Adm Pharm. 2013;9(6):930–48.CrossRef Carvajal MJ, Armayor GM. Inequalities in the distribution of pharmacists’ wage-and-salary earnings: indicators and their development. Res Soc Adm Pharm. 2013;9(6):930–48.CrossRef
Metadata
Title
Income inequality among general practitioners in Iran: a decomposition approach
Authors
Mohsen Bayati
Arash Rashidian
Yaser Sarikhani
Saeed Lohivash
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2019
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-019-4473-7

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