Evidence map›Paper›PMID 39477274›Full record

ArticleBMJ open2024

Resource allocation efficiency in 68 county-level traditional Chinese medicine hospitals in China: a data envelopment analysis.

Xiaoyue Xiao, Keyi Shen, Xinyue Zheng, Dan Wu, Tong Pei, Xin-Hao Lin, Xuehui Meng

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

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

7 authors.

Xiaoyue XiaoSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0009-0000-9148-0406
Keyi ShenSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xinyue ZhengSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Dan WuSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Tong PeiSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xin-Hao LinSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xuehui MengSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China mengxuehui@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAnalysing and evaluating how efficiently health resources are allocated to county-level Traditional Chinese Medicine (TCM) hospitals in Zhejiang Province, this study aims to provide empirical evidence for improving operational efficiency and optimising resource allocation in these hospitals. DESIGN AND

settingThe study employed a three-stage Data Envelopment Analysis (DEA) model to assess efficiency, using data from 68 county-level TCM hospitals. Four input and five output variables related to TCM services were selected for the analysis.

resultsThe first-stage DEA results indicated that in 2022, the technical efficiency (TE) of TCM hospitals in Zhejiang Province was 0.788, the pure technical efficiency (PTE) was 0.876 and the scale efficiency (SE) was 0.903. The classification of hospitals into four groups based on the bed size showed statistically significant differences in returns to scale (p<0.001). The Stochastic Frontier Analysis regression results were significant at the 1% level across four regressions, showing that environmental variables such as per capita GDP, population density and the number of hospitals impacted efficiency. In the third stage DEA, after adjusting the input variables, the TE, PTE and SE improved to 0.809, 0.833 and 0.917, respectively. The adjusted mean TE rankings by region were West (0.860) > East (0.844) > South (0.805) > North (0.796) > Central (0.731).

conclusionThere is an imbalance between the inputs and outputs of county-level TCM hospitals. Each region must consider factors such as the local economy, population and medical service levels, along with the specific development characteristics of hospitals, to reasonably determine the scale of county-level TCM hospital construction. Emphasis should be placed on improving hospital management and technical capabilities, coordinating regional development, promoting the rational allocation and efficient use of TCM resources and enhancing the efficiency of resource allocation in county-level TCM hospitals.

Indexed as

Efficiency, OrganizationalMedicine, Chinese TraditionalResource AllocationChinaHealth Care RationingHospital Bed CapacityHospitals, CountyHumansHealthHEALTH ECONOMICSHEALTH SERVICES ADMINISTRATION & MANAGEMENT

Identifiers

PMID39477274
PMCPMC11529701

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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.