Evidence map›Paper›PMID 26816584›Full record

ArticleElectronic physician2015

Macro determinants of Iranian provincial healthcare expenditures from 2006 to 2013: evidence from panel data.

Satar Rezaei, Razieh Fallah, Khalil Moradi, Somayeh Delavari, Siavash Doost Moradi, Behzad Karami Matin

Abstract read
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Article in Electronic physician, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Satar RezaeiPh.D. Student of Health Economics, Research Center for Environmental Determinants of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Razieh FallahM.Sc. of Health Care Management, Amol Imam Reza Hospital, Mazandaran University of Medical Sciences, Sari, Iran.
Khalil MoradiM.Sc. of Nursing, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Somayeh DelavariStudent of Medical Education, Department of Medical Education, School of Medicine And Center for Educational Research in Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Siavash Doost MoradiM.Sc. of Health Care Management, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Behzad Karami MatinPh.D. of Health Care Management, Associate Professor, Research Center for Environmental Determinants of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDuring the last few decades, healthcare expenditures (HCEs) have increased significantly in Iran and throughout the world. Understanding the determinants of such increases is essential to health policymakers in finding the best policies to manage healthcare costs. This study aimed to determine the impact of some of the key explanatory variables on household healthcare expenditures across the provinces of Iran.

methodsA panel data econometric model was used to determine the main factors that affected household healthcare expenditures (HHCEs) across the provinces of Iran from March 21, 2006 to February 19, 2013. The data on household healthcare expenditures per capita, number of physicians per 10,000 population, the degree of urbanization, the proportion of the population that was 65 or older, household income per capita, and literacy rate were obtained from the Household Expenditure and Income Survey (HEIS) data in the Statistical Center of Iran. F-Limer and Hausman tests were used to choose the panel data, and Stata V.12 was used to analyze the data.

resultsOur findings indicated that income per capita, physicians per 10,000 population, and the degree of urbanization had significant impacts on healthcare expenditures. Also, the results of the study showed the elasticity of income, physicians, urbanization, proportion of the population 65 or older, and the literacy rate were 0.25 (p < 0.002), 0.37 (p < 0.001), 5.01 (p < 0.001), -0.1 (p < 0.73), and -1.02 (p < 0.082), respectively.

conclusionThe results of the study indicated that the income elasticity of healthcare expenditures was less than 1; health expenditures were considered to be a "necessity good" across the provinces of Iran during the period that was studied. In addition, there were some other factors that affected healthcare expenditures that were not considered in the study, such as the advancement of new technology and the costs of dying. However, it is recommended that future research examine the effect of these factors on HCEs in Iran.

Indexed as

healthcare expendituresincome elasticityIranpanel data estimation

Identifiers

PMID26816584
PMCPMC4725410

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