Cargando…

Determinants of Health Care Expenditures and the Contribution of Associated Factors: 16 Cities and Provinces in Korea, 2003-2010

OBJECTIVES: The purpose of this study was to classify determinants of cost increases into two categories, negotiable factors and non-negotiable factors, in order to identify the determinants of health care expenditure increases and to clarify the contribution of associated factors selected based on...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Kimyoung, Cho, Minho, Chun, Kihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Preventive Medicine 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859851/
https://www.ncbi.nlm.nih.gov/pubmed/24349651
http://dx.doi.org/10.3961/jpmph.2013.46.6.300
_version_ 1782295461643681792
author Han, Kimyoung
Cho, Minho
Chun, Kihong
author_facet Han, Kimyoung
Cho, Minho
Chun, Kihong
author_sort Han, Kimyoung
collection PubMed
description OBJECTIVES: The purpose of this study was to classify determinants of cost increases into two categories, negotiable factors and non-negotiable factors, in order to identify the determinants of health care expenditure increases and to clarify the contribution of associated factors selected based on a literature review. METHODS: The data in this analysis was from the statistical yearbooks of National Health Insurance Service, the Economic Index from Statistics Korea and regional statistical yearbooks. The unit of analysis was the annual growth rate of variables of 16 cities and provinces from 2003 to 2010. First, multiple regression was used to identify the determinants of health care expenditures. We then used hierarchical multiple regression to calculate the contribution of associated factors. The changes of coefficients (R(2)) of predictors, which were entered into this analysis step by step based on the empirical evidence of the investigator could explain the contribution of predictors to increased medical cost. RESULTS: Health spending was mainly associated with the proportion of the elderly population, but the Medicare Economic Index (MEI) showed an inverse association. The contribution of predictors was as follows: the proportion of elderly in the population (22.4%), gross domestic product (GDP) per capita (4.5%), MEI (-12%), and other predictors (less than 1%). CONCLUSIONS: As Baby Boomers enter retirement, an increasing proportion of the population aged 65 and over and the GDP will continue to increase, thus accelerating the inflation of health care expenditures and precipitating a crisis in the health insurance system. Policy makers should consider providing comprehensive health services by an accountable care organization to achieve cost savings while ensuring high-quality care.
format Online
Article
Text
id pubmed-3859851
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher The Korean Society for Preventive Medicine
record_format MEDLINE/PubMed
spelling pubmed-38598512013-12-12 Determinants of Health Care Expenditures and the Contribution of Associated Factors: 16 Cities and Provinces in Korea, 2003-2010 Han, Kimyoung Cho, Minho Chun, Kihong J Prev Med Public Health Original Article OBJECTIVES: The purpose of this study was to classify determinants of cost increases into two categories, negotiable factors and non-negotiable factors, in order to identify the determinants of health care expenditure increases and to clarify the contribution of associated factors selected based on a literature review. METHODS: The data in this analysis was from the statistical yearbooks of National Health Insurance Service, the Economic Index from Statistics Korea and regional statistical yearbooks. The unit of analysis was the annual growth rate of variables of 16 cities and provinces from 2003 to 2010. First, multiple regression was used to identify the determinants of health care expenditures. We then used hierarchical multiple regression to calculate the contribution of associated factors. The changes of coefficients (R(2)) of predictors, which were entered into this analysis step by step based on the empirical evidence of the investigator could explain the contribution of predictors to increased medical cost. RESULTS: Health spending was mainly associated with the proportion of the elderly population, but the Medicare Economic Index (MEI) showed an inverse association. The contribution of predictors was as follows: the proportion of elderly in the population (22.4%), gross domestic product (GDP) per capita (4.5%), MEI (-12%), and other predictors (less than 1%). CONCLUSIONS: As Baby Boomers enter retirement, an increasing proportion of the population aged 65 and over and the GDP will continue to increase, thus accelerating the inflation of health care expenditures and precipitating a crisis in the health insurance system. Policy makers should consider providing comprehensive health services by an accountable care organization to achieve cost savings while ensuring high-quality care. The Korean Society for Preventive Medicine 2013-11 2013-11-28 /pmc/articles/PMC3859851/ /pubmed/24349651 http://dx.doi.org/10.3961/jpmph.2013.46.6.300 Text en Copyright © 2013 The Korean Society for Preventive Medicine http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Han, Kimyoung
Cho, Minho
Chun, Kihong
Determinants of Health Care Expenditures and the Contribution of Associated Factors: 16 Cities and Provinces in Korea, 2003-2010
title Determinants of Health Care Expenditures and the Contribution of Associated Factors: 16 Cities and Provinces in Korea, 2003-2010
title_full Determinants of Health Care Expenditures and the Contribution of Associated Factors: 16 Cities and Provinces in Korea, 2003-2010
title_fullStr Determinants of Health Care Expenditures and the Contribution of Associated Factors: 16 Cities and Provinces in Korea, 2003-2010
title_full_unstemmed Determinants of Health Care Expenditures and the Contribution of Associated Factors: 16 Cities and Provinces in Korea, 2003-2010
title_short Determinants of Health Care Expenditures and the Contribution of Associated Factors: 16 Cities and Provinces in Korea, 2003-2010
title_sort determinants of health care expenditures and the contribution of associated factors: 16 cities and provinces in korea, 2003-2010
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859851/
https://www.ncbi.nlm.nih.gov/pubmed/24349651
http://dx.doi.org/10.3961/jpmph.2013.46.6.300
work_keys_str_mv AT hankimyoung determinantsofhealthcareexpendituresandthecontributionofassociatedfactors16citiesandprovincesinkorea20032010
AT chominho determinantsofhealthcareexpendituresandthecontributionofassociatedfactors16citiesandprovincesinkorea20032010
AT chunkihong determinantsofhealthcareexpendituresandthecontributionofassociatedfactors16citiesandprovincesinkorea20032010