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Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea

OBJECTIVES: The study examined medical care utilisation by health insurance status changes. SETTING: The Korean Welfare Panel Study (KoWePs) was used. PARTICIPANTS: This study analysed 14 267 participants at baseline (2006). INTERVENTIONS: The individuals were categorised into four health insurance...

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Autores principales: Kim, Jae-Hyun, Lee, Sang Gyu, Lee, Kwang-Soo, Jang, Sung-In, Cho, Kyung-Hee, Park, Eun-Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823444/
https://www.ncbi.nlm.nih.gov/pubmed/27036140
http://dx.doi.org/10.1136/bmjopen-2015-009538
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author Kim, Jae-Hyun
Lee, Sang Gyu
Lee, Kwang-Soo
Jang, Sung-In
Cho, Kyung-Hee
Park, Eun-Cheol
author_facet Kim, Jae-Hyun
Lee, Sang Gyu
Lee, Kwang-Soo
Jang, Sung-In
Cho, Kyung-Hee
Park, Eun-Cheol
author_sort Kim, Jae-Hyun
collection PubMed
description OBJECTIVES: The study examined medical care utilisation by health insurance status changes. SETTING: The Korean Welfare Panel Study (KoWePs) was used. PARTICIPANTS: This study analysed 14 267 participants at baseline (2006). INTERVENTIONS: The individuals were categorised into four health insurance status groups: continuous health insurance, change from health insurance to Medical Aid, change from Medical Aid to health insurance, or continuous Medical Aid. PRIMARY AND SECONDARY OUTCOME MEASURES: Three dependent variables were also analysed: days spent in hospital; number of outpatient visits; and hospitalisations per year. Longitudinal data analysis was used to determine whether changes in health insurance status were associated with healthcare utilisation. RESULTS: The number of outpatient visits per year was 0.1.363 times higher (p<0.0001) in the continuous Medical Aid than in the continuous health insurance group. The number of hospitalisations per year was 1.560 times higher (p<0.001) in new Medical Aid and −0.636 times lower (p<0.001) in new health insurance than in continuous health insurance group. The number of days spent in hospital per year was −0.567 times lower (p=0.021) in the new health insurance than in the continuous health insurance group. CONCLUSIONS: Health insurance beneficiaries with a coverage level lower than Medical Aid showed lower healthcare utilisation, as measured by the number of hospitalisations and days spent in hospital per year.
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spelling pubmed-48234442016-04-19 Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea Kim, Jae-Hyun Lee, Sang Gyu Lee, Kwang-Soo Jang, Sung-In Cho, Kyung-Hee Park, Eun-Cheol BMJ Open Public Health OBJECTIVES: The study examined medical care utilisation by health insurance status changes. SETTING: The Korean Welfare Panel Study (KoWePs) was used. PARTICIPANTS: This study analysed 14 267 participants at baseline (2006). INTERVENTIONS: The individuals were categorised into four health insurance status groups: continuous health insurance, change from health insurance to Medical Aid, change from Medical Aid to health insurance, or continuous Medical Aid. PRIMARY AND SECONDARY OUTCOME MEASURES: Three dependent variables were also analysed: days spent in hospital; number of outpatient visits; and hospitalisations per year. Longitudinal data analysis was used to determine whether changes in health insurance status were associated with healthcare utilisation. RESULTS: The number of outpatient visits per year was 0.1.363 times higher (p<0.0001) in the continuous Medical Aid than in the continuous health insurance group. The number of hospitalisations per year was 1.560 times higher (p<0.001) in new Medical Aid and −0.636 times lower (p<0.001) in new health insurance than in continuous health insurance group. The number of days spent in hospital per year was −0.567 times lower (p=0.021) in the new health insurance than in the continuous health insurance group. CONCLUSIONS: Health insurance beneficiaries with a coverage level lower than Medical Aid showed lower healthcare utilisation, as measured by the number of hospitalisations and days spent in hospital per year. BMJ Publishing Group 2016-04-01 /pmc/articles/PMC4823444/ /pubmed/27036140 http://dx.doi.org/10.1136/bmjopen-2015-009538 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Public Health
Kim, Jae-Hyun
Lee, Sang Gyu
Lee, Kwang-Soo
Jang, Sung-In
Cho, Kyung-Hee
Park, Eun-Cheol
Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea
title Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea
title_full Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea
title_fullStr Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea
title_full_unstemmed Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea
title_short Impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in South Korea
title_sort impact of health insurance status changes on healthcare utilisation patterns: a longitudinal cohort study in south korea
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823444/
https://www.ncbi.nlm.nih.gov/pubmed/27036140
http://dx.doi.org/10.1136/bmjopen-2015-009538
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