Evidence map›Paper›PMID 39854002›Full record

ArticleJAMA health forum2025

Health Care Spending Increases and Value in South Korea.

Sungchul Park, Joseph L Dieleman, Marcia R Weaver, Giryeon Bae, Karen Eggleston

Abstract read
In one paragraph

Article in JAMA health forum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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.

Sungchul ParkDepartment of Health Management and Policy, Korea University, Seoul, South Korea.
Joseph L DielemanInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Marcia R WeaverInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Giryeon BaeDepartment of Health Management and Policy, Korea University, Seoul, South Korea.
Karen EgglestonShorenstein Asia-Pacific Research Center, Stanford University, Stanford, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Health care spending in South Korea (hereafter Korea) nearly doubled from 2010 to 2019. However, little is known about the drivers and effectiveness of these spending increases in terms of changes in disability-adjusted life-years (DALYs). Objectives: To evaluate the factors contributing to changes in health care spending and DALYs and estimate the value of health care spending from 2010 to 2019 in Korea. Design, Setting, and Participants: This cross-sectional study of the population of Korea used 2010 and 2019 data from the National Health Insurance Service for health care spending, and from the Global Burden of Disease 2019 for DALYs. Changes from 2010 to 2019 were decomposed into changes in several factors, including population size, aging, and per-person measures of spending or DALYs. Data analyses were performed from April 2023 to June 2024. Main Outcomes and Measures: Health care spending was calculated as the total expenditure on medical and long-term care, and health gains were measured as DALYs averted. The value of health care spending was estimated as the ratio of changes in spending per person to changes in DALYs per person. Results: Total health care spending in Korea increased from $55.0 billion in 2010 to $92.0 billion in 2019. Increases in spending per person accounted for 52.9% of the increase, followed by population aging and population size (35.6% and 11.4%). Total DALYs increased from 11.4 million to 12.2 million. Population aging accounted for 269.4% of the increase, followed by population growth (64.0%). However, DALYs per person decreased (-233.4%), reflecting a lower per capita health burden given the country's age structure. Assuming 50% and 80% of these health improvements could be attributed to health care spending, the estimated spending per DALY averted was $20 678 and $12 924, respectively. The estimate was slightly larger when excluding DALYs not directly impacted by medical care ($23 687). Korea's spending per DALY averted is at the lower range of estimates and comparable to that of other high-income countries. Conclusions and Relevance: This cross-sectional study indicates that increased spending per person, which accounted for half of the total health care spending increase, was associated with improved overall health, evidenced by substantially fewer DALYs. These findings contribute to understanding and evaluating the value of health care spending in Korea.

Indexed as

Disability-Adjusted Life YearsHealth ExpendituresAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNational Health ProgramsRepublic of Korea

Identifiers

PMID39854002
PMCPMC11762226

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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.