Summary of the best evidence for nursing of post-stroke insomnia nursing
10.3760/cma.j.cn211501-20220810-02543
- VernacularTitle:脑卒中后失眠护理的最佳证据总结
- Author:
Xinqi WANG
1
;
Xuemei LI
;
Mengyi CAI
;
Weiying ZHANG
Author Information
1. 同济大学医学院，上海 200092
- Keywords:
Stroke;
Insomnia;
Evidence-based nursing;
Evidence summarization
- From:
Chinese Journal of Practical Nursing
2023;39(30):2374-2381
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To summarize the best evidence of post-stroke insomnia nursing and provide basis for clinical practice.Methods:According to the "6S" pyramid model, the system searched UpToDate, Scottish Interhospital Guidelines Network, US National Guidelines Network, JBI Evidence Based Health Care Center Database, BMJ Best Clinical Practice, NICE Guidelines Network, China Medical Pulse Communication Guidelines Network, Ontario Registered Nurses Network, The Cochrane Library, PubMed, Web of Science, Medline, Embase, CINAHL, CNKI, Wanfang, VIP and Chinese Biomedical Literature Database and related association websites. Evidence on the post-stroke insomnia nursing, including guidelines, systematic evaluations, expert consensus, etc. The retrieval period was from the database construction to February 19, 2022. The quality of the literature was evaluated by the corresponding articles evaluation criteria.Results:A total of 24 articles were selected, including 6 guidelines, 16 systematic reviews and 2 expert consensus. Totally 26 pieces of the best evidence on 5 aspects including the evaluation of sleep quality, the diagnosis of post-stroke insomnia, the development of individual plan, non-pharmaceutical intervention, and traditional Chinese medicine nursing intervention were finally summarized.Conclusions:The summarized evidence of post-stroke insomnia nursing, for can be used to provides scientific and effective evidence-based basis for nursing staff to carry out clinical practice. It is suggested that the specific evidence should be selected according to the specific situation of patients in clinical application.
