Evidence map›Paper›PMID 42305743›Full record

ArticleFrontiers in public health2026

Impact of the compact county medical service community policy on healthcare resource allocation and healthcare service utilization in village clinics: a difference-in-differences analysis in rural Sichuan, China.

Meng Li, Liping Fu, Anhui Mo, Longhui Li, Yujie Lin

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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

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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Meng LiCollege of Management and Economics, Tianjin University, Tianjin, China.
Liping FuCollege of Management and Economics, Tianjin University, Tianjin, China.
Anhui MoCollege of Management and Economics, Tianjin University, Tianjin, China.
Longhui LiCollege of Management and Economics, Tianjin University, Tianjin, China.
Yujie LinCollege of Management and Economics, Tianjin University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explores the impact of the compact county medical service community policy on healthcare resource allocation and healthcare service utilization in rural Sichuan, China. The policy was implemented in stages in 2017, 2018, 2019, 2020 and 2023. Method: Data were sourced from the Sichuan Health Statistics Yearbooks and Sichuan Statistical Yearbooks (2014-2023). We employed a staggered difference-in-differences propensity score matching analysis with two-way fixed effects, using data from 1,800 county-year observations in rural Sichuan over the period 2014-2023. After eliminating missing values, the treatment and control groups comprised 36 and 144 counties, respectively. Results: The implementation of compact county medical service community policy was associated with the successful optimization of healthcare resource allocation in village clinics, predominantly attributed to statistically significant increases in the number of healthcare workers and village clinics by an average of 0.163 (8.3%) and 0.089 (6.2%) per 1,000 rural population, respectively. Additionally, healthcare service utilization in village clinics substantially improved. Detailed analysis revealed a statistically significant average increase of 0.164 (6.8%) per 1,000 rural population in the number of healthcare consultations. The number of emergency consultations also increased by an average of 0.159 (6.9%) per 1,000 rural population. Discussion: Our findings highlight the beneficial impacts of implementing compact county medical service community policy on healthcare resource allocation and healthcare service utilization in rural areas, particularly in terms of village clinics. The findings have critical policy implications for enhancing healthcare resource allocation and healthcare service utilization in rural China.

Indexed as

Health Care RationingHealth PolicyPatient Acceptance of Health CareResource AllocationRural Health ServicesRural PopulationChinaHumansChinacompact county medical service community policydifference-in-differences analysishealthcare resource allocationhealthcare service utilizationrural Sichuanvillage clinics

Identifiers

PMID42305743
PMCPMC13265455

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LicenceCC BY
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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.