已发表论文

运用鱼骨图和帕累托图对中国一家三级医院非计划再入院的质量分析

 

Authors Hu W, Ma L, Xiong S, Li S, Wang X, Liu M, Chen Z

Received 30 May 2025

Accepted for publication 31 August 2025

Published 10 September 2025 Volume 2025:18 Pages 5295—5302

DOI https://doi.org/10.2147/IJGM.S540011

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Satish Nair

Wen Hu,1 Li Ma,1 Shan Xiong,1 Sifeng Li,1 Xiaocheng Wang,2,3 Min Liu,1,4,* Zhenni Chen1,4,* 

1Department of Medical Affairs, West China Tianfu Hospital, Sichuan University, Chengdu, People’s Republic of China; 2Day Surgery Center, West China Tianfu Hospital, Sichuan University, Chengdu, People’s Republic of China; 3Day Surgery Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 4Department of Medical Affairs, West China Hospital, Sichuan University, Chengdu, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Min Liu, Email 751241615@qq.com Zhenni Chen, Email 376672684@qq.com

Purpose: Existing research on unplanned readmissions has primarily focused on department- or disease-specific analyses, yet it lacks a systematic hospital management perspective. This study employs quality improvement tools to analyze causes of unplanned readmissions, identify key drivers, and lay the groundwork for interventions that reduce readmission rates, alleviate patient burdens, and optimize healthcare resource utilization.
Patients and Methods: This retrospective study included 341 patients who were readmitted within 31 days due to the same or related diseases. These patients were identified at a public tertiary Grade A general hospital in Chengdu between January 1, 2023, and December 31, 2024. Fishbone diagram was used to analyze the root causes of unplanned readmissions, while Pareto chart was employed to determine the distribution of the primary causes. Data were sourced from the hospital’s information management system.
Results: The overall unplanned readmission rate was 0.38%. In surgical patients, unplanned readmissions were predominantly attributed to surgical complications (75.79%), which primarily included surgical site infections, respiratory infections, postoperative hemorrhage or hematoma, thromboembolic events, and impaired wound healing. Preventing the above-mentioned surgical complications is a key measure to reduce readmissions among surgical patients. For non-surgical patients, disease exacerbation constituted the primary cause of unplanned readmissions (72.19%), with pancreatitis, chronic obstructive pulmonary disease, cardiac arrhythmia, and fungal pneumonia identified as high-risk diseases leading to readmissions. Strengthening the management of these high-risk diseases is crucial for preventing readmissions among non-surgical patients.
Conclusion: Employing integrated fishbone diagram and Pareto chart analyses, this study systematically deciphered the root causes and dominant contributors to unplanned readmissions. These findings enabled the formulation of targeted evidence-based management strategies. This study provides novel insights and methodologies for hospital management practices, serving as a valuable reference for other healthcare institutions seeking to reduce unplanned readmission rates and enhance operational efficiency.

Keywords: hospital readmission, quality improvement tools, health policy, management strategies