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Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation
BACKGROUND: Burden of disease can be used to prioritize the healthcare budget allocation. We analyzed the research and development (R&D) budget of the Ministry of Health and Welfare (MOHW) in 2018 and compared the results with those of the 2015 Korean National Burden of Disease (KNBD) study. MET...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Academy of Medical Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434158/ https://www.ncbi.nlm.nih.gov/pubmed/30923490 http://dx.doi.org/10.3346/jkms.2019.34.e81 |
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author | Park, So-Youn Yoon, Seok-Jun Park, Hyesook Jo, Min-Woo Oh, In-Hwan |
author_facet | Park, So-Youn Yoon, Seok-Jun Park, Hyesook Jo, Min-Woo Oh, In-Hwan |
author_sort | Park, So-Youn |
collection | PubMed |
description | BACKGROUND: Burden of disease can be used to prioritize the healthcare budget allocation. We analyzed the research and development (R&D) budget of the Ministry of Health and Welfare (MOHW) in 2018 and compared the results with those of the 2015 Korean National Burden of Disease (KNBD) study. METHODS: The 2018 MOHW R&D Project integrated implementation plan was used to analyze the R&D budget of the MOHW. The budget was allocated according to the KNBD disease group and according to the budget lines. The allocated budget was compared with the economic burden and the disability adjusted life years (DALYs) in 2015. Also, for budget targets for risk factors, DALYs of attributable risk factors were compared with corresponding budgets. RESULTS: In 2018, the MOHW major R&D budget of USD 435.1 million accounted for 3% of the total government budget. Within the disease specific R&D budget, 35.9% was allocated to communicable disease groups, 64.1% to non-communicable diseases, and 0% to injury and violence. Among level 2 disease groups, neoplasm was ranked first. Among risk factors, climate change and behavioral risk were targeted for R&D. CONCLUSIONS: It would be difficult to say that current R&D allocations focus to minimize the burden of disease. A mismatch was observed between the R&D budget and the burden of disease in terms of economic burden and DALYs. There was a similar finding for risk factors R&D. A novel approach for allocating government R&D funding that is based on the goal of minimizing the disease burden in the Korean population should be considered. |
format | Online Article Text |
id | pubmed-6434158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-64341582019-03-28 Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation Park, So-Youn Yoon, Seok-Jun Park, Hyesook Jo, Min-Woo Oh, In-Hwan J Korean Med Sci Original Article BACKGROUND: Burden of disease can be used to prioritize the healthcare budget allocation. We analyzed the research and development (R&D) budget of the Ministry of Health and Welfare (MOHW) in 2018 and compared the results with those of the 2015 Korean National Burden of Disease (KNBD) study. METHODS: The 2018 MOHW R&D Project integrated implementation plan was used to analyze the R&D budget of the MOHW. The budget was allocated according to the KNBD disease group and according to the budget lines. The allocated budget was compared with the economic burden and the disability adjusted life years (DALYs) in 2015. Also, for budget targets for risk factors, DALYs of attributable risk factors were compared with corresponding budgets. RESULTS: In 2018, the MOHW major R&D budget of USD 435.1 million accounted for 3% of the total government budget. Within the disease specific R&D budget, 35.9% was allocated to communicable disease groups, 64.1% to non-communicable diseases, and 0% to injury and violence. Among level 2 disease groups, neoplasm was ranked first. Among risk factors, climate change and behavioral risk were targeted for R&D. CONCLUSIONS: It would be difficult to say that current R&D allocations focus to minimize the burden of disease. A mismatch was observed between the R&D budget and the burden of disease in terms of economic burden and DALYs. There was a similar finding for risk factors R&D. A novel approach for allocating government R&D funding that is based on the goal of minimizing the disease burden in the Korean population should be considered. The Korean Academy of Medical Sciences 2019-03-07 /pmc/articles/PMC6434158/ /pubmed/30923490 http://dx.doi.org/10.3346/jkms.2019.34.e81 Text en © 2019 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Park, So-Youn Yoon, Seok-Jun Park, Hyesook Jo, Min-Woo Oh, In-Hwan Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation |
title | Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation |
title_full | Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation |
title_fullStr | Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation |
title_full_unstemmed | Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation |
title_short | Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation |
title_sort | comparative research for the healthcare budget and burden of disease in perspective resource allocation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434158/ https://www.ncbi.nlm.nih.gov/pubmed/30923490 http://dx.doi.org/10.3346/jkms.2019.34.e81 |
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