Academic Journal
Network meta-analysis of the effect of different nursing management models on the intra-hospital transport of critically ill patients in the emergency department.
| Τίτλος: | Network meta-analysis of the effect of different nursing management models on the intra-hospital transport of critically ill patients in the emergency department. |
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| Συγγραφείς: | Jiang Y; Department of Emergency Nursing, West China Second University Hospital,Sichuan University, Chengdu, Sichuan 610000, PR China; Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University), Ministry of Education, Chengdu, Sichuan 610000, PR China. Electronic address: 1246595284@qq.com., Hu J; Department of Emergency Nursing, West China Second University Hospital,Sichuan University, Chengdu, Sichuan 610000, PR China; Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University), Ministry of Education, Chengdu, Sichuan 610000, PR China. Electronic address: hujuan5@163.com., Zhao J; Department of Emergency Nursing, West China Second University Hospital,Sichuan University, Chengdu, Sichuan 610000, PR China; Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University), Ministry of Education, Chengdu, Sichuan 610000, PR China. Electronic address: 105363426@qq.com., Wang L; Department of Emergency Nursing, West China Second University Hospital,Sichuan University, Chengdu, Sichuan 610000, PR China; Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University), Ministry of Education, Chengdu, Sichuan 610000, PR China. Electronic address: 925357651@qq.com., Gao J; Department of Emergency Nursing, West China Second University Hospital,Sichuan University, Chengdu, Sichuan 610000, PR China; Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University), Ministry of Education, Chengdu, Sichuan 610000, PR China. Electronic address: 1026922909@qq.com., Yang M; Department of Emergency Nursing, West China Second University Hospital,Sichuan University, Chengdu, Sichuan 610000, PR China; Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University), Ministry of Education, Chengdu, Sichuan 610000, PR China. Electronic address: 1138134546@qq.com., Zhao Y; Department of Emergency Nursing, West China Second University Hospital,Sichuan University, Chengdu, Sichuan 610000, PR China; Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University), Ministry of Education, Chengdu, Sichuan 610000, PR China. Electronic address: 274173859@qq.com. |
| Πηγή: | International emergency nursing [Int Emerg Nurs] 2026 Aug; Vol. 87, pp. 101836. Date of Electronic Publication: 2026 May 15. |
| Τύπος έκδοσης: | Journal Article; Network Meta-Analysis |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Country of Publication: England NLM ID: 101472191 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-013X (Electronic) Linking ISSN: 1878013X NLM ISO Abbreviation: Int Emerg Nurs Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Oxford : Elsevier, 2008- |
| Ιατρικοί όροι (MeSH): | Critical Illness*/nursing , Patient Transfer*/methods , Patient Transfer*/standards , Transportation of Patients*/methods , Transportation of Patients*/standards , Models, Nursing*, Emergency Service, Hospital/organization & administration ; Emergency Service, Hospital/statistics & numerical data ; Humans |
| Περίληψη: | Objective: To evaluate the effects of seven nursing management modes on the intra-hospital transport effect of critically ill patients in the emergency department through a network meta-analysis. Methods: PubMed, Web of Science, EMbase, Cochrane Library, CNKI, VIP, Wanfang, and China Biomedical Literature Database were searched for randomized and non-randomized controlled trials on the effect of different nursing management models on the intra-hospital transport effect of critically ill patients in the emergency department, the search period was from January 2014 to October 2024, and Revman 5.4 was used for traditional meta-analysis and ADDIS in data analysis software 1.16.6 Perform a network meta-analysis. Results: A total of 43 studies involving 8009 patients and 7 modes of care management were included. The results showed that in terms of adverse event indicators, safety management (P < 0.00001), risk management (P < 0.00001), PDCA cycle management (P < 0.00001), seamless management (P = 0.003), and risk management combined with PDCA cycle management (P = 0.001) were better than those of conventional care transport. In terms of transfer time, only safety management (P < 0.00001), risk management (P < 0.00001) and seamless management (P < 0.00001) were better than those of conventional nursing transport mode. In terms of patient satisfaction, safety management (P < 0.00001), risk management (P < 0.00001), risk management combined with PDCA cycle management (P = 0.007), and seamless management (P < 0.00001) were better than those of conventional nursing transport mode. Conclusion: Among the seven nursing management models, risk management combined with PDCA cycle management may be the optimal management mode to reduce the number of adverse events in hospital transport and improve patient satisfaction, and the safety management model can reduce the time of hospital transport to a certain extent. This study has certain limitations due to factors such as sample size and research methodology, and further verification is needed in the future. (Copyright © 2026 Elsevier Ltd. All rights reserved.) |
| Competing Interests: | Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Intra-hospital transfer; Meta-analysis; Nursing management |
| Entry Date(s): | Date Created: 20260515 Date Completed: 20260708 Latest Revision: 20260727 |
| Update Code: | 20260727 |
| DOI: | 10.1016/j.ienj.2026.101836 |
| PMID: | 42139854 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1878-013X |
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| DOI: | 10.1016/j.ienj.2026.101836 |