Evidence map›Paper›PMID 41555374›Full record

ArticleBMC health services research2026

Efficiency assessment of gynecological resource allocation in tertiary hospitals: a Data Envelopment Analysis approach.

Xi Cheng, Dongqin Xia, Jinhan Yao, Linjie Xu, Yuting Zhang, Yuquan Zhang

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Article in BMC health services research, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xi Cheng *Department of Gynecology and Obstetrics, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, Jiangsu Province, 226001, P. R. China.
Dongqin Xia *Department of Gynecology and Obstetrics, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, Jiangsu Province, 226001, P. R. China.
Jinhan YaoDepartment of Gynecology and Obstetrics, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, Jiangsu Province, 226001, P. R. China.
Linjie XuMedical School of Nantong University, No. 19, Qixiu Road, Nantong, Jiangsu Province, 226001, P. R. China.
Yuting ZhangJiangsu Provincial Medical Quality Control Center of Gynecology, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, Jiangsu Province, 226001, P. R. China.
Yuquan ZhangDepartment of Gynecology and Obstetrics, Affiliated Hospital of Nantong University, No. 20, Xisi Road, Nantong, Jiangsu Province, 226001, P. R. China. YuquanZhang623@yeah.net.

Funding

the 2023 Jiangsu Maternal and Child Health Research Fund: F202343
6 · The paper itself

Abstract

backgroundEfficient allocation of gynecological resources in tertiary hospitals is crucial to ensuring high-quality healthcare services. This study aims to evaluate the efficiency of gynecological resource allocation in tertiary hospitals across Jiangsu Province, China, using Data Envelopment Analysis (DEA).

methodsWe analyzed 126 tertiary hospitals using DEA with input indicators of medical staff numbers and available beds, and output indicators of outpatient visits, discharged patients, and bed utilization rates. The constant returns to scale (CRS, CCR) and variable returns to scale (VRS, BCC) models were employed to calculate technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE).

resultsOnly 3.17% of hospitals achieved fully technically efficient (TE = 1), while 92.86% exhibited decreasing returns to scale. Significant variations in efficiency scores were observed among hospitals and cities. Slack analysis provided targeted recommendations for inefficient hospitals, quantifying required improvements in outpatient visits, patient discharges, and bed utilization rates.

conclusionsMost tertiary hospitals’ gynecology departments face challenges in resource utilization and output optimization. This research offers valuable insights for healthcare administrators and policymakers to enhance resource allocation efficiency in gynecological services, potentially improving overall healthcare delivery in the region. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Efficiency, OrganizationalGynecologyHealth Care RationingResource AllocationTertiary Care CentersChinaFemaleHumansData Envelopment Analysis (DEA)EfficiencyGynecologyResource allocationTertiary hospitals

Identifiers

PMID41555374
PMCPMC12896078

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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.