Health expenditure modelling in the southeast of Iran: a population-based setting using quantile regression perspective

Health expenditure modelling in the southeast of Iran: a population-based setting using quantile regression perspective


چاپ صفحه
پژوهان
صفحه نخست سامانه
چکیده مقاله
چکیده مقاله
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نویسندگان: فرید زایری , یداله محرابی , ابوالفضل پاینده

کلمات کلیدی: Health Expenditure, Household, Quantile Regression, Sistan and Baluchistan

نشریه: Health Scope, 4,6,1 - 6,2017

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کد مقاله 66013842
عنوان فارسی مقاله Health expenditure modelling in the southeast of Iran: a population-based setting using quantile regression perspective
عنوان لاتین مقاله Health expenditure modelling in the southeast of Iran: a population-based setting using quantile regression perspective
نوع مقاله اصیل پژوهشی - Original Article
نحوه ایندکس شدن مقاله Science Sitation Index Expanded -ISI - Web of Science
IF 0.0
عنوان نشریه Health Scope
نوع نشریه داخلی نمایه شده
شماره نشریه 4
دوره 6
صفحه شروع و پایان در نشریه 1 - 6
سال انتشار/ ارائه شمسی 1396
سال انتشار/ارائه میلادی 2017
آدرس لینک مقاله/ همایش در شبکه اینترنت http://jhealthscope.com/en/articles/64185.html
ISSN 2251-9513
DOI 10.5812/jhealthscope.64185
آدرس علمی (Affiliation) نویسنده متقاضی Department of Biostatistics, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran

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Abstract Background: Equity in health is the focus of attention in the world health circles in recent decades. The financing of household health expenditure is, therefore, a concern in any region. Objectives: The current study aimed at exploring the determinants of household health expenditure in Sistan and Baluchistan province, Southeast of Iran. Methods: The data of the current study were a part of the Iranian households’ income and expenditure survey, administered by the Iranian statistical center (ISC) from March 2013 to March 2014. A 3-stage stratified cluster sampling method was employed in the current cross sectional survey. A total of 1391 households from Sistan and Baluchistan province were randomly selected. The study employed quantile regression modelling to determine the effective explanatory variables of household health expenses. R programming language version 3.3.2 was used for data analysis. Results: It was found that annual median per capita medical expenditure was US$ 5.36 (first quartile = 0; third quartile = 38.31). Households also spent about 3.9% of their annual income on health expenses per capita. Literacy, occupational status of household head, and family income had significant effect on the median of household health expenses. Conclusions: Researchers and policy makers should pay more attention to household health expenses, as it is an important matter in the low-income and deprived areas. Keywords: Health Expenditure, Household, Quantile Regression, Sistan and Baluchistan

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نویسنده نفر چندم مقاله
فرید زایریسوم
یداله محرابیدوم
ابوالفضل پایندهاول

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