Evidence map›Paper›PMID 36995749›Full record

ArticleJMIR public health and surveillance2023

Regional Differences in Medical Costs of Chronic Kidney Disease in the South Korean Population: Marginalized Two-Part Model.

Minah Park, Choa Yun, Jae Hong Joo, Soo Hyun Kang, Sung Hoon Jeong, Chung-Mo Nam, Eun-Cheol Park, Yoondae Han, Sung In Jang

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Observational
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

9 authors at 2 institutions in 1 country.

Minah Park *Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-7685-987X
Choa Yun *Department of Biostatistics and Computing, College of Medicine, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-5541-1662
Jae Hong JooDepartment of Health Informatics and Biostatistics, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0001-9328-592X
Soo Hyun KangDepartment of Preventive Medicine, College of Medicine, Gachon University, Incheon, Republic of Korea.ORCID 0000-0002-9381-7276
Sung Hoon JeongInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-5581-7929
Chung-Mo NamDepartment of Preventive Medicine, College of Medicine, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0003-0985-0928
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-2306-5398
Yoondae HanDivision of Colorectal Surgery, Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-2136-3578
Sung In JangInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-0760-2878
Yonsei University · KRGachon University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are regional gaps in the access to medical services for patients with chronic kidney disease (CKD), and it is necessary to reduce those gaps, including the gaps involving medical costs.

objectiveThis study aimed to analyze regional differences in the medical costs associated with CKD in the South Korean population.

methodsThis longitudinal cohort study included participants randomly sampled from the National Health Insurance Service-National Sample Cohort of South Korea. To select those who were newly diagnosed with CKD, we excluded those who were diagnosed in 2002-2003 and 2018-2019. A total of 5903 patients with CKD were finally included. We used a marginalized two-part longitudinal model to assess total medical costs.

resultsOur cohort included 4775 (59.9%) men and 3191 (40.1%) women. Of these, 971 (12.2%) and 6995 (87.8%) lived in medically vulnerable and nonvulnerable regions, respectively. The postdiagnosis costs showed a significant difference between the regions (estimate: -0.0152, 95% confidence limit: -0.0171 to -0.0133). The difference in medical expenses between the vulnerable and nonvulnerable regions showed an increase each year after the diagnosis.

conclusionsPatients with CKD living in medically vulnerable regions are likely to have higher postdiagnostic medical expenses compared to those living in regions that are not medically vulnerable. Efforts to improve early diagnosis of CKD are needed. Relevant policies should be drafted to decrease the medical costs of patients with CKD disease living in medically deprived areas.

Indexed as

Renal Insufficiency, ChronicCohort StudiesFemaleHumansLongitudinal StudiesMaleRepublic of Koreachronic diseasechronic kidney diseasecostcost analysiseconomicinsurancekidneylongitudinal modelmedical expensesmedically vulnerable regionspublic healthregional

Identifiers

PMID36995749
PMCPMC10131872
OpenAlexW4361270814

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.