Evidence map›Paper›PMID 35831849›Full record

ArticleBMC health services research2022

Cost-effectiveness of medical migration for chronic kidney disease: a national cross-sectional study in China.

Yumeng Ao, Chao Yang, Pengfei Li, Fulin Wang, Suyuan Peng, Huai-Yu Wang, Jinwei Wang, Ming-Hui Zhao, Luxia Zhang, Ye Yuan and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

11 authors.

Yumeng Ao *School of Economics, Peking University, Beijing, 100871, China.
Chao Yang *Renal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, 100034, China.
Pengfei LiAdvanced Institute of Information Technology, Peking University, Hangzhou, 311215, Zhejiang, China.
Fulin WangInstitute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China.
Suyuan PengNational Institute of Health Data Science at Peking University, Beijing, 100191, China.
Huai-Yu WangNational Institute of Health Data Science at Peking University, Beijing, 100191, China.
Jinwei WangRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, 100034, China.
Ming-Hui ZhaoRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, 100034, China.
Luxia ZhangRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, 100034, China. zhanglx@bjmu.edu.cn.
Ye YuanSchool of Economics, Peking University, Beijing, 100871, China. yuanye.econ@pku.edu.cn.
Xuezheng QinSchool of Economics, Peking University, Beijing, 100871, China. xqin@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe phenomenon of medical migration is common in China. Due to the limited capacity and substantial geographical variation in medical practice, patients with chronic kidney disease (CKD) travel more frequently to seek medical care. We aimed to assess the cost-effectiveness of medical migration for CKD patients in China and provide real-world evidence for the allocation of CKD resources.

methodsRecords of patients with CKD between January 2014 and December 2018 were extracted from a large national database. A patient is defined as a medical migrant if she travelled across the provincial border to a non-residential province to be admitted for inpatient care. The propensity score matching method is used to estimate the effect of medical migration on medical expenditure, length of hospital stay, and in-hospital mortality. The cost-effectiveness is evaluated by comparing the estimated cost per life saved with contemporaneous estimates of the value of a statistical life.

resultsAmong 4,392,650 hospitalizations with CKD, medical migrants accounted for 4.9% in 2018. Migrant patients were estimated to incur a 26.35% increase in total medical expenditure, experience a 0.24-percentage-points reduction in in-hospital mortality rates, and a 0.49-days reduction in length of hospital stay compared to non-migrant patients. Overall, medical migration among CKD patients incurred an average of 1 million yuan per life saved, which accounted for 20-40% of contemporaneous estimates of the value of a statistical life. Compared with migrant patients with self-payment and commercial insurance, migrant patients with public health insurance (urban basic medical insurance and new rural co-operative medical care) incurred lower cost per life saved. Cost per life saved for CKD patients was similar between female and male, lower among older population, and varied substantially across regions.

conclusionsThe medical care seeking behaviors of CKD patients was prominent and medical resources of kidney care were unevenly allocated across regions. Medical migration led to a reduction in mortality, but was associated with higher medical expenditure. It is imperative to reduce the regional disparity of medical resources and improve the clinical capacity. Our study shows that it is imperative to prioritize resource allocation toward improving kidney health and regional health care planning.

Indexed as

Renal Insufficiency, ChronicChinaCost-Benefit AnalysisCross-Sectional StudiesFemaleHumansLength of StayMaleChronic kidney diseaseCost-benefit analysisHospital mortalityLength of hospital stayMedical migration

Identifiers

PMID35831849
PMCPMC9281168

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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.