Evidence map›Paper›PMID 41938923›Full record

ArticleFrontiers in public health2026

The moderating role of the case-mix index in the relationship between medical staff allocation and average cost per inpatient visit.

Change Xiong, Ying Xia, Shandan Xu, Jing Xiao

Abstract read
In one paragraph

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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Change XiongSchool of Public Health, Wuhan University of Science and Technology, Wuhan, China.
Ying XiaSchool of Public Health, Wuhan University of Science and Technology, Wuhan, China.
Shandan XuSchool of Public Health, Wuhan University of Science and Technology, Wuhan, China.
Jing XiaoDepartment of Human Resources and Science Education, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Greater medical staff allocation and higher Case-Mix Index (CMI) values are both associated with increased patient medical expenditures. However, it remains unclear whether CMI moderates the relationship between medical staff allocation and medical expenditures. The present study focus on whether medical staff allocation predicts the cost per inpatient visit, whether this association is enhanced under conditions of high CMI. Aim: To explore the mechanism underlying the role of the CMI in the relationship between medical staff allocation and the average cost per inpatient visit. Methods: Data were collected from 207 general hospitals in Hubei Province in 2019 using the cluster sampling method. Pearson's correlations were used to examine the associations between medical staff allocation, the CMI and the cost per inpatient visit. The moderating role of the CMI between medical staff allocation and the average cost per inpatient visit was analyzed using Model 1 of the PROCESS macro. Results: The number of patients per doctor ( Conclusion: CMI value can enhance the negative effects of the number of beds per doctor or nurse on average cost per inpatient visit, revealing that rational CMI benchmark for the hospital or prioritizing disease categories with clinically appropriate treatment complexity can mitigate the extent to which healthcare workforce allocation influences rising medical expenditures. Reasonable medical staff allocation and the CMI serve as important factors in controlling the average cost per inpatient visit.

Indexed as

Diagnosis-Related GroupsHealth ExpendituresHospital CostsMedical Staff, HospitalPersonnel Staffing and SchedulingChinaHospitals, GeneralHumanscase-mix indexhealth resourcemedical costmedical staff allocationmoderate effect

Identifiers

PMID41938923
PMCPMC13043402

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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.