Evidence map›Paper›PMID 37199387›Full record

ArticleCancer medicine2023

Cancer care patterns in South Korea: Types of hospital where patients receive care and outcomes using national health insurance claims data.

Dong-Woo Choi, Sun Jung Kim, Seungju Kim, Dong Wook Kim, Wonjeong Jeong, Kyu-Tae Han

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. 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
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Dong-Woo ChoiCancer Big Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0001-5462-7579
Sun Jung KimDepartment of Health Administration and Management, College of Medical Science, Soonchunhyang University, Asan-Si, Republic of Korea.ORCID 0000-0003-1756-1376
Seungju KimDepartment of Nursing, College of Nursing, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-3308-3802
Dong Wook KimDepartment of Information and Statistics, RINS, Gyeongsang National University, Jinju-si, Republic of Korea.ORCID 0000-0002-4478-3794
Wonjeong JeongCancer Knowledge & Information Center, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-7334-0140
Kyu-Tae HanDivision of Cancer Control & Policy, National Cancer Control Institute, National Cancer Center, Goyang, Republic of Korea.ORCID 0000-0002-5817-1203
National Cancer Center · USSoonchunhyang University · KRGyeongsang National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough strengthening coverage has improved cancer care, there are concerns related to medical distortion. Previous studies have only examined whether patients visit a specific hospital, and not the continuum of patients with cancer, resulting in a lack of evidence in South Korea. This study aimed to investigate the patterns in hospital type for cancer care and analyze their association with outcomes.

methodsThe data for this study were obtained from the National Health Insurance Services Sampled Cohort database. This study included patients with four types of cancer (top four cancer incidence in 2020): gastric (3353), colorectal (2915), lung (1351), and thyroid (5158) cancer. The latent class mixed model was used to investigate cancer care patterns, and multiple regression or survival analysis was performed to examine medical cost, length of stay (LOS), and mortality.

resultsThe patterns in each cancer type were classified into two to four classes, namely, mainly visited clinics or hospitals, mainly visited general hospitals, mainly visited tertiary hospitals (MT), and tertiary to general hospitals through trajectory modeling based on the utilization of cancer care. Compared to the MT pattern, other patterns were generally associated with higher cost, LOS, and mortality.

conclusionThe patterns found in this study may be a more realistic way of defining patients with cancer in South Korea compared to previous studies, and its association-related outcomes may be used as a basis to address problems in the healthcare system and prepare alternatives for patients with cancer. Future studies should review cancer care patterns related to other factors such as regional distribution.

Indexed as

InsuranceNeoplasmsDelivery of Health CareHumansInsurance, HealthLength of StayNational Health ProgramsTertiary Care Centerscancer carecancer outcomeshealthcare delivery systemhealth service researchtrajectory modeling

Identifiers

PMID37199387
PMCPMC10358188
OpenAlexW4377010588

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LicenceCC BY
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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.