Evidence map›Paper›PMID 42773078›Full record

ArticleJournal of Korean medical science2026

Changes in the Distribution of General Physicians in Korea During the 2024-2025 Medical Crisis: A Descriptive Analysis Using Nationwide HIRA Data.

Jun Young Park, Sang Gyu Lee

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jun Young ParkDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0005-7590-6207
Sang Gyu LeeDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4847-2421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In February 2024, approximately 90% of resident physicians in Republic of Korea (= South Korea) collectively resigned from training hospitals in protest of the government's plan to reform healthcare system, creating an abrupt and nationwide supply shock in the physician workforce. Using publicly available Health Insurance Review and Assessment Service data across eight timepoints (December 2022-March 2026), we describe how this shock reshaped the distribution of general physicians-licensed physicians without specialty board certification-across institution types, regions, urban-rural areas, and clinic specialties. Between December 2023 and December 2024, trainees at training hospitals declined from 13,001 to 1,208 (-90.7%), while general physicians at non-training institutions rose from 5,557 to 9,157 (+64.8%). The increase was concentrated in urban areas, capital-area clinics, and a small set of specialties dominated by dermatology, internal medicine, and aesthetic-related fields; per-population rates confirmed that Gangwon showed the smallest reallocation. Trainee numbers partially recovered by March 2026. Approximately 8,200 (≈ 69%) of the displaced trainees were not accounted for by the concurrent rise in general physicians at non-training institutions. This study is descriptive and does not itself perform causal inference; rather, it documents how a sudden physician supply expansion was absorbed by the existing healthcare market and provides an empirical foundation for future causal analyses treating this shock as a natural experiment.

Indexed as

General PractitionersDelivery of Health CareHumansPhysiciansRepublic of KoreaWorkforceGeneral PracticeHealthcare PolicyMedical CrisisMedical EducationNatural ExperimentPhysician WorkforceRepublic of Korea

Identifiers

PMID42773078
PMCPMC13597213

What OpenQuestion holds

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Registered trials

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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.