Evidence map›Paper›PMID 42616759›Full record

ArticlePloS one2026

Equity in the allocation of oncology bed resources in China: Longitudinal data from 2008 to 2022.

Xingyue Pu, Zhigang Zhong

Abstract read
In one paragraph

Article in PloS one, 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

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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.

Xingyue PuDepartment of Organization and Personnel, Sichuan Provincial Maternity and Child Health Care Hospital, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and children's Hospital of Chengdu Medical College, Chengdu, Sichuan Province, China.
Zhigang ZhongOffice of Sichuan Cancer Prevention and Control Center (Department of Prevention), Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China.ORCID https://orcid.org/0000-0002-2695-0253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCancer has emerged as one of the most significant public health challenges in the 21st century. With rapidly growing demand for oncology services, the allocation of oncology bed resources is closely associated with the accessibility and effectiveness of cancer diagnosis and treatment. This study presents a comprehensive assessment of equity in oncology bed allocation across Chinese hospitals, providing evidence to inform policy decisions for optimizing cancer care resource distribution.

methodsData were extracted from the China Health Statistics Yearbook (2007-2023), and analyzed using Lorenz curves, Gini coefficients(G), and Theil index (T) to evaluate the equity of oncology bed resource allocation in China.

resultsFrom 2008 to 2022, the number of oncology beds in Chinese hospitals showed an increasing trend, but the growth rate slowed down. According to Lorenz curves, the equity of oncology bed allocation by population was better than by geographic area. Compared to 2008, the population-based equity improved in 2022, while the geographic area-based equity showed no improvement. Based on G, the population-based allocation of oncology beds from 2008 to 2022 had G between 0.15 and 0.20, indicating absolute equity with an overall declining trend, while the geographic area-based allocation maintained G around 0.69, consistently showing severe inequity. According to T, population-based allocation demonstrated better equity with T all below 0.1, whereas geographic area-based allocation showed poorer equity with indices all above 0.6. For both population and geographic dimensions, within-group T were greater than between-group indices, indicating that inequity primarily stemmed from intra-regional disparities.

conclusionWhile China's oncology bed resources are expanding in scale, they are facing dual challenges of imbalanced "population-geography" allocation and significant regional differences. We should focus on improving geographical accessibility and regional balance to help alleviate the 'difficulty in hospitalization' for cancer patients.

Indexed as

Health Care RationingMedical OncologyNeoplasmsResource AllocationChinaHumansLongitudinal Studies

Identifiers

PMID42616759
PMCPMC13489474

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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.