Evidence map›Paper›PMID 30923490›Full record

ArticleJournal of Korean medical science2019

Comparative Research for the Healthcare Budget and Burden of Disease in Perspective Resource Allocation.

So-Youn Park, Seok-Jun Yoon, Hyesook Park, Min-Woo Jo, In-Hwan Oh

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. One cancer, two stories: divergent estimates of gastric cancer burden in Korea.Archives of public health = Archives belges de sante publique · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Forecasting of Future Medical Care Expenditure in Japan Using a System Dynamics Model.Inquiry : a journal of medical care organization, provision and financing
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 1 country.

So-Youn ParkDepartment of Medical Education and Humanities, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0003-0553-5381
Seok-Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3297-0071
Hyesook ParkDepartment of Preventive Medicine, Ewha Womans University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9359-6522
Min-Woo JoDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4574-1318
In-Hwan OhDepartment of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0002-5450-9887
Ewha Womans University · KRKorea University · KRKyung Hee University · KRKyung Hee University Medical Center · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBurden 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.

methodsThe 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.

resultsIn 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.

conclusionsIt 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.

Indexed as

Global Burden of DiseaseHealth PolicyHumansQuality-Adjusted Life YearsResearchResource AllocationBurden of DiseaseKoreaR&D Funding

Identifiers

PMID30923490
PMCPMC6434158
OpenAlexW2921730960

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.