Evaluation of inpatient services of tertiary comprehensive hospitals based on DRG payment

Qun-Jun Yu; Ya-Lin Li; Qin Yin; Ye Lu; Lu-Yan Li; Dan-Ni Xu; Mei He; Sha Ma; Wu Yan

doi:10.3389/fpubh.2024.1300765

Evaluation of inpatient services of tertiary comprehensive hospitals based on DRG payment

Front Public Health. 2024 Jan 24:12:1300765. doi: 10.3389/fpubh.2024.1300765. eCollection 2024.

Authors

Qun-Jun Yu^#¹, Ya-Lin Li^#¹, Qin Yin^#¹, Ye Lu^#¹, Lu-Yan Li¹, Dan-Ni Xu¹, Mei He¹, Sha Ma², Wu Yan³

Affiliations

¹ School of Humanities and Management, Kunming Medical University, Kunming, Yunnan, China.
² Department of Pharmacy, Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
³ Clinical Research Center, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

^# Contributed equally.

Abstract

Objective: This study aims to evaluate inpatient services in 49 tertiary comprehensive hospitals using indicators from the diagnosis related groups (DRG) payment system.

Method: DRG data from 49 tertiary comprehensive hospitals were obtained from the quality monitoring platform for provincial hospitals, and relevant indicators were identified. The analytic hierarchy process (AHP) was used to compute the weight of each indicator. The rank sum ratio method was used to calculate the weight rank sum ratio (WRSR) value and the corresponding probit value of each hospital. The hospitals were divided into four grades based on the threshold value: excellent, good, fair, and poor.

Results: Eight indicators of the 49 hospitals were scored, and the hospital rankings of indicators varied. The No. 1 hospital ranked first in the indicators of "total number of DRG", "number of groups", and "proportion of relative weights (RW) ≥ 2". The WRSR value of the No.1 hospital was the largest (0.574), and the WRSR value of the No. 44 hospital was the smallest (0.139). The linear regression equation was established: WRSR_predicted =-0.141+0.088*Probit, and the regression model was well-fitted (F = 2066.672, p < 0.001). The cut-off values of the three WRSRs_predicted by the four levels were 0.167, 0.299, and 0.431, respectively. The 49 hospitals were divided into four groups: excellent (4), good (21), average (21), and poor (3). There were significant differences in the average WRSR values of four categories of hospitals (p < 0.05).

Conclusion: There were notable variances in the levels of inpatient services among 49 tertiary comprehensive hospitals, and hospitals of the same category also showed different service levels. The evaluation results contribute to the health administrative department and the hospital to optimize the allocation of resources, improve the DRG payment system, and enhance the quality and efficiency of inpatient services.

Keywords: DRG; evaluation; inpatient medical service; rank sum ratio; tertiary comprehensive hospital.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Diagnosis-Related Groups*
Hospitals
Humans
Inpatients*

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the “cultivation discipline of 14th five-year plan- social security” (J1301843) of Kunming Medical University, and the Reform and Innovation Team of the Social Security System of Kunming Medical University (K1322116).