wow-inequalities/02-data/intermediate/wos_sample/58f25cc6275167b6ae7f057a000b9a7a-bayati-mohsen-and-r/info.yaml

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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.'
affiliation: 'Sarikhani, Y (Corresponding Author), Shiraz Univ Med Sci, Sch Management
\& Informat Sci, Student Res Comm, Almas Bldg,Alley 29,Qasrodasht Ave, Shiraz, Iran.
Bayati, Mohsen; Lohivash, Saeed, Shiraz Univ Med Sci, Hlth Human Resources Res Ctr,
Sch Management \& Informat Sci, Shiraz, Iran.
Rashidian, Arash, Univ Tehran Med Sci, Sch Publ Hlth, Dept Hlth Management \& Econ,
Tehran, Iran.
Rashidian, Arash, WHO, Informat Evidence \& Res, Cairo, Eastern Mediter, Egypt.
Sarikhani, Yaser, Shiraz Univ Med Sci, Sch Management \& Informat Sci, Student Res
Comm, Almas Bldg,Alley 29,Qasrodasht Ave, Shiraz, Iran.'
article-number: '620'
author: Bayati, Mohsen and Rashidian, Arash and Sarikhani, Yaser and Lohivash, Saeed
author-email: yasersarikhani@yahoo.com
author_list:
- family: Bayati
given: Mohsen
- family: Rashidian
given: Arash
- family: Sarikhani
given: Yaser
- family: Lohivash
given: Saeed
da: '2023-09-28'
doi: 10.1186/s12913-019-4473-7
eissn: 1472-6963
files: []
journal: BMC HEALTH SERVICES RESEARCH
keywords: Income gap; Income inequality; General practitioner; Remuneration
keywords-plus: 'INFORMAL PAYMENTS; PRIMARY-CARE; HEALTH-CARE; GAP; DETERMINANTS;
EARNINGS'
language: English
month: SEP 2
number: '1'
number-of-cited-references: '29'
orcid-numbers: 'Sarikhani, Yaser/0000-0002-0615-9210
Bayati, Mohsen/0000-0002-9118-5447
Rashidian, Arash/0000-0002-4005-5183'
papis_id: fb4ac1375d5eb98ebf57bba70be41cbf
ref: Bayati2019incomeinequality
researcherid-numbers: 'Bayati, Mohsen/AAV-7010-2020
Sarikhani, Yaser/J-5324-2012
Rashidian, Arash/E-5061-2011
Bayati, Mohsen/R-7729-2017
'
times-cited: '6'
title: 'Income inequality among general practitioners in Iran: a decomposition approach'
type: article
unique-id: WOS:000483605500006
usage-count-last-180-days: '2'
usage-count-since-2013: '42'
volume: '19'
web-of-science-categories: Health Care Sciences \& Services
year: '2019'