Distribution characteristics and influencing factors of ultra-long hospitalization in patients with malig-nant tumors
10.3969/j.issn.1671-332X.2025.08.021
- VernacularTitle:恶性肿瘤超长住院患者分布特征及影响因素分析
- Author:
Xiaoyu YANG
1
;
Weiping WANG
1
;
Hongtao WANG
1
;
Yi LIU
1
;
Jiameng ZHOU
1
;
Zehua MA
1
;
Xibei ZHOU
1
;
Bo ZHANG
1
;
Jinpo ZHENG
1
Author Information
1. 天津医科大学肿瘤医院//国家恶性肿瘤临床医学研究中心//天津市恶性肿瘤临床医学研究中心//天津市肿瘤防治重点实验室 天津 300060
- Publication Type:Journal Article
- Keywords:
Medical quality;
Average length of stay;
Extended length of stay;
Logistic stepwise regression analysis
- From:
Modern Hospital
2025;25(8):1223-1226
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the distribution characteristics and influencing factors of ultra-long hospitalization in malignant tumor patients and to explore strategies to reduce the average length of stay and enhance the efficiency of medical re-source utilization.Methods Ultra-long hospitalization was defined as the 99th percentile of hospital stay duration(P99=31 days).Data from patients discharged with malignant tumors in a specialized cancer hospital in 2024 were collected.The distribu-tion characteristics and influencing factors were analyzed using chi-square tests and logistic stepwise regression.Results Among the 36 097 patients with malignant tumors,the average length of stay was 4.95 days,with 375 cases classified as ultra-long hospi-talizations,accounting for 1.04％.These patients were predominantly over 55 years old,with a higher proportion of males.Pa-tients with stage Ⅲ malignant tumors,primary tumors classified as T2～T3,and primary sites in the esophagus,pancreas,and maxillofacial regions had a higher incidence of ultra-long hospitalizations.Significant factors influencing ultra-long hospitalization included treatment modality,complications(OR=20.319),number of discharge diagnoses(OR=6.915),ICU transfers(OR=4.714),unplanned reoperations(OR=4.416),tumor type,extent,and stage.Conclusion Medical institutions are advised to address the influencing factors of ultra-long hospitalizations by optimizing diagnostic and treatment processes,enhan-cing quality control systems,establishing early warning mechanisms,and strengthening information systems.These measures aim to improve the standardization of malignant tumor diagnosis and treatment,ensuring patient safety.
