Evidence map›Paper›PMID 40702431›Full record

ArticleBMC health services research2025

Strategies for enhancing PHC accessibility through mobile and capsule clinics: a spatial location allocation study in China.

Haopeng Liu, Chengyu Ma, Yanbin Yang, Weizhen Liao, Yi Wang

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In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haopeng LiuSchool of Public Health, Capital Medical University, Beijing, 100069, China.
Chengyu MaSchool of Public Health, Capital Medical University, Beijing, 100069, China. machengyu@ccmu.edu.cn.
Yanbin YangSchool of Public Health, Capital Medical University, Beijing, 100069, China.
Weizhen LiaoSchool of Public Health, Capital Medical University, Beijing, 100069, China.
Yi WangSchool of Public Health, Capital Medical University, Beijing, 100069, China.

Funding

The R&D Program of Beijing Municipal Education Commission SZ202210025011
6 · The paper itself

Abstract

backgroundShortages in the Primary Health Care (PHC) workforce, especially in remote areas, pose a major challenge to achieving universal health coverage. Traditional strategies focused solely on hiring village doctors face limitations due to recruitment challenges in these regions. This study proposes a multi-strategy approach to PHC workforce allocation to address spatial imbalances and improve healthcare accessibility and equity.

methodsWe developed a Multi-Strategy PHC Workforce Location Allocation model that integrates three strategies: hiring village doctors, deploying mobile clinics, and establishing capsule clinics. The model aims to minimize patient impedance while considering constraints such as service coverage, capacity, and budget. Using Beijing's suburban areas as a case study, we conducted empirical runs to compare two models. The first is a single-strategy model that relies solely on hiring village doctors. The second is a multi-strategy model that combines hiring village doctors with mobile and capsule clinics. Data were collected from 34 towns, 823 villages, and 894 medical facilities. We evaluated the models based on impedance, cost, accessibility, and Gini coefficients, which were calculated using methods such as the two-step floating catchment area approach.

resultsCompared with the single-strategy approach, the multi-strategy model consistently achieves higher coverage, lower impedance, better accessibility, and improved equity under the same budget. For example, with a 10% budget parameter, it covers 19.23% more villages in deep mountainous areas and improves accessibility in the plains, near mountainous, and deep mountainous areas by 1.59%, 4.80%, and 4.44%, respectively, outperforming the single-strategy model. As government investment increases, the improvement in impedance shows a trend of diminishing marginal returns.

conclusionsIntegrating hiring village doctors with mobile and capsule clinics offers a flexible and effective solution for addressing PHC workforce shortages in remote areas. This multi-strategy approach not only improves healthcare accessibility and fairness but also achieves higher financial efficiency. We recommend that governments adopt this comprehensive strategy, especially in resource-constrained regions, to achieve universal PHC service coverage.

Indexed as

Ambulatory Care FacilitiesHealth Services AccessibilityMobile Health UnitsPrimary Health CareRural Health ServicesChinaHumansHealthcare accessibilityLocation allocation modelMobile and capsule clinicsPrimary health careWorkforce allocation

Identifiers

PMID40702431
PMCPMC12288300

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LicenceCC BY-NC-ND
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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.