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Do health care workforce, population, and service provision significantly contribute to the total health expenditure? An econometric analysis of Serbia
BACKGROUND: In times of austerity, the availability of econometric health knowledge assists policy-makers in understanding and balancing health expenditure with health care plans within fiscal constraints. The objective of this study is to explore whether the health workforce supply of the public he...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986341/ https://www.ncbi.nlm.nih.gov/pubmed/27526854 http://dx.doi.org/10.1186/s12960-016-0146-3 |
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author | Santric-Milicevic, M. Vasic, V. Terzic-Supic, Z. |
author_facet | Santric-Milicevic, M. Vasic, V. Terzic-Supic, Z. |
author_sort | Santric-Milicevic, M. |
collection | PubMed |
description | BACKGROUND: In times of austerity, the availability of econometric health knowledge assists policy-makers in understanding and balancing health expenditure with health care plans within fiscal constraints. The objective of this study is to explore whether the health workforce supply of the public health care sector, population number, and utilization of inpatient care significantly contribute to total health expenditure. METHODS: The dependent variable is the total health expenditure (THE) in Serbia from the years 2003 to 2011. The independent variables are the number of health workers employed in the public health care sector, population number, and inpatient care discharges per 100 population. The statistical analyses include the quadratic interpolation method, natural logarithm and differentiation, and multiple linear regression analyses. The level of significance is set at P < 0.05. RESULTS: The regression model captures 90 % of all variations of observed dependent variables (adjusted R square), and the model is significant (P < 0.001). Total health expenditure increased by 1.21 standard deviations, with an increase in health workforce growth rate by 1 standard deviation. Furthermore, this rate decreased by 1.12 standard deviations, with an increase in (negative) population growth rate by 1 standard deviation. Finally, the growth rate increased by 0.38 standard deviation, with an increase of the growth rate of inpatient care discharges per 100 population by 1 standard deviation (P < 0.001). CONCLUSIONS: Study results demonstrate that the government has been making an effort to control strongly health budget growth. Exploring causality relationships between health expenditure and health workforce is important for countries that are trying to consolidate their public health finances and achieve universal health coverage at the same time. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12960-016-0146-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4986341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49863412016-08-17 Do health care workforce, population, and service provision significantly contribute to the total health expenditure? An econometric analysis of Serbia Santric-Milicevic, M. Vasic, V. Terzic-Supic, Z. Hum Resour Health Research BACKGROUND: In times of austerity, the availability of econometric health knowledge assists policy-makers in understanding and balancing health expenditure with health care plans within fiscal constraints. The objective of this study is to explore whether the health workforce supply of the public health care sector, population number, and utilization of inpatient care significantly contribute to total health expenditure. METHODS: The dependent variable is the total health expenditure (THE) in Serbia from the years 2003 to 2011. The independent variables are the number of health workers employed in the public health care sector, population number, and inpatient care discharges per 100 population. The statistical analyses include the quadratic interpolation method, natural logarithm and differentiation, and multiple linear regression analyses. The level of significance is set at P < 0.05. RESULTS: The regression model captures 90 % of all variations of observed dependent variables (adjusted R square), and the model is significant (P < 0.001). Total health expenditure increased by 1.21 standard deviations, with an increase in health workforce growth rate by 1 standard deviation. Furthermore, this rate decreased by 1.12 standard deviations, with an increase in (negative) population growth rate by 1 standard deviation. Finally, the growth rate increased by 0.38 standard deviation, with an increase of the growth rate of inpatient care discharges per 100 population by 1 standard deviation (P < 0.001). CONCLUSIONS: Study results demonstrate that the government has been making an effort to control strongly health budget growth. Exploring causality relationships between health expenditure and health workforce is important for countries that are trying to consolidate their public health finances and achieve universal health coverage at the same time. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12960-016-0146-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-15 /pmc/articles/PMC4986341/ /pubmed/27526854 http://dx.doi.org/10.1186/s12960-016-0146-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Santric-Milicevic, M. Vasic, V. Terzic-Supic, Z. Do health care workforce, population, and service provision significantly contribute to the total health expenditure? An econometric analysis of Serbia |
title | Do health care workforce, population, and service provision significantly contribute to the total health expenditure? An econometric analysis of Serbia |
title_full | Do health care workforce, population, and service provision significantly contribute to the total health expenditure? An econometric analysis of Serbia |
title_fullStr | Do health care workforce, population, and service provision significantly contribute to the total health expenditure? An econometric analysis of Serbia |
title_full_unstemmed | Do health care workforce, population, and service provision significantly contribute to the total health expenditure? An econometric analysis of Serbia |
title_short | Do health care workforce, population, and service provision significantly contribute to the total health expenditure? An econometric analysis of Serbia |
title_sort | do health care workforce, population, and service provision significantly contribute to the total health expenditure? an econometric analysis of serbia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986341/ https://www.ncbi.nlm.nih.gov/pubmed/27526854 http://dx.doi.org/10.1186/s12960-016-0146-3 |
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