Evidence map›Paper›PMID 40499037›Full record

ArticleJMIR public health and surveillance2025

Characterizing Cross-Provincial High-Cost Patients in Rural China: Cross-Sectional Study.

Minjiang Guo, Xiaotong Jiang, Yang Liu, Yang Liu, Fangyuan Zhang, Zhongyuan Zhang, Yazi Li

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Minjiang Guo *Health Insurance Information Research Department, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0009-0004-2698-4949
Xiaotong Jiang *Health Insurance Information Research Department, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0009-0005-5654-8897
Yang LiuHealth Insurance Information Research Department, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0002-6897-0711
Yang LiuHealth Insurance Information Research Department, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0009-0002-7824-2678
Fangyuan ZhangHealth Insurance Information Research Department, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0002-8670-7589
Zhongyuan ZhangHealth Insurance Information Research Department, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0002-9032-5727
Yazi LiInformation Technology Office, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China, 86 13810084409.ORCID 0000-0002-2779-1020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-cost (HC) patients, typically defined as the top 10% or 5% of patients with the highest health care costs, are responsible for over half of all health care-related spending. In China, approximately 95% of rural residents are covered by Urban and Rural Resident Basic Medical Insurance. In parallel, increasing population mobility has made it more common for rural residents to seek medical treatment and claim reimbursements across provincial boundaries. These trends underscore the importance of identifying and understanding HC patients within this group. Objective: This study aimed to analyze the characteristics and risk factors associated with HC cross-provincial insured patients in rural China. Methods: The study used data from the cross-provincial medical immediate reimbursement system, which contains records of inpatients who used cross-province immediate reimbursement services between 2017 and 2019. Patients whose total annual medical expenditure ranked within the top 10% of all cross-provincial inpatients were classified as HC patients. Andersen's Behavioral Model of Health Services Use was adopted to examine the factors associated with being an HC patient. Descriptive statistics and multivariable logistic regression model analyses were performed. Results: A total of 2987 patients were included, with a mean age of 42.99 (SD 19.39) years. Males comprised 57.4% (1713/2987) of the total. Among all cross-provincial patients, the expenses of HC patients made up 34.5% of total expenses. The average annual hospitalization cost per HC patient was US $22,460. Results from multivariable logistic regression analysis indicated that male patients (odds ratio [OR] 1.38, 95% CI 1.06-1.79; P=.01), individuals with multiple comorbidities (OR 3.62, 95% CI 2.37-5.53; P<.001), those diagnosed with cancer (OR 2.31, 95% CI 1.61-3.31; P<.001), and patients receiving care at specialized hospitals (OR 1.61, 95% CI 1.24-2.08; P<.001) were significantly associated with HC status. Conclusions: Cross-provincial HC patients in rural China exhibited a lower concentration of total expenditure but incurred higher average annual hospitalization costs compared with local patients. This finding suggests the presence of potential cost-driving factors within this group. Identified risk factors-including sex, comorbidity status, cancer diagnosis, and hospital type-may inform the development of more equitable and efficient health financing policies, such as optimizing resource allocation and designing targeted interventions for HC patients.

Indexed as

Health Care CostsHealth ExpendituresRural PopulationAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedChinacross-provincialhigh-cost patientsinpatientrural patients

Identifiers

PMID40499037
PMCPMC12176241

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