Evidence map›Paper›PMID 41929902›Full record

ArticleFrontiers in public health2026

Unexpected consequences of community-based integrated care services reform: increased hospitalization expenses among older adults in China, 2011-2018.

Jing Xin, Li Han

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Jing XinSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Li HanSchool of Law and Economics, Wuhan University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As a result of the increasingly aging population of China, the development and implementation of effective public older adult care service strategies for older adults with nursing and medical needs have become pressing priorities. In this context, China launched a community-based integrated care services (CBICS) reform in several cities in 2016. This study evaluates the impact of the CBICS reform on hospitalization expenses among older adults. Methods: Using 2011-2018 China Health and Retirement Longitudinal Survey (CHARLS) data, we applied the difference-in-differences (DID) method to identify the causal impact of the CBICS pilot policy on the inpatient medical expenses of old adults. In addition, we robustly estimated the net effect of the CBICS reform on hospitalization expenses among older adults by combining propensity score matching (PSM) with DID while excluding other policy disturbances and adjusting the sample size. Results: Following CBICS implementation, the total hospitalization expenses and out-of-pocket hospitalization expenses increased significantly among older adults, rising by approximately CNY 1,971 and CNY 1,096, respectively. Further analysis revealed that the substantial increase in hospitalization expenses was concentrated primarily in primary healthcare facilities, and the increase in higher-level medical institutions was not statistically significant. The structural impact of the CBICS policy on inpatient cost growth offers a plausible explanation for this observed increase in medical spending. Additionally, we identify health and release effects: improved health outcomes among older adults increase the use of medical services, which, in turn, contributes to higher medical expenses. Moreover, the CBICS policy had more pronounced effects on the rural-dwelling, older, and disabled subgroups. Conclusion: The increase in hospitalization expenses for older adults resulting from the CBICS pilot policy was essentially driven by the release of medical demand that had been previously suppressed. Therefore, if the CBICS reform is aimed at simultaneously achieving both health improvement and cost control, a hierarchical medical system with two-way linkage between community and hospital should be established in the course of policy promotion. In addition, in the promotion of CBICS policy, priority must be given to the accessibility and equity of services to ensure timely access to services for vulnerable groups.

Indexed as

Community Health ServicesDelivery of Health Care, IntegratedHealth Care ReformHealth ExpendituresHospitalizationAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesMalecommunity-based integrated care services reformhealth effectsout-of-pocket hospitalization expensesrelease effecttotal hospitalization expenses

Identifiers

PMID41929902
PMCPMC13038613

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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.