Effect of traditional Chinese medicine emotional therapy on post-stroke depression: A protocol for systematic review and meta-analysis

BACKGROUND: Post-stroke depression has seriously affected the rehabilitation and quality of life of patients, and there is no reliable treatment plan at present. Nursing plays an important role in the recovery of patients, some studies have pointed out that traditional Chinese medicine emotional therapy has advantages in improving post-stroke depression and promoting rehabilitation, but it is lack of evidence-based basis. The purpose of this study is to systematically evaluate the effect of traditional Chinese medicine emotional therapy on the improvement of post-stroke depression. METHOD: We will search CNKI, Wanfang, VIP and CBM, PubMed, Embase, Web of Science and the Cochrane Library database, and search the randomized controlled trial on traditional Chinese medicine emotional therapy in patients with post-stroke depression from the establishment of the database to February 2021. The language is limited to English and Chinese. The quality of the included study is independently extracted and the literature quality is evaluated by 2 researchers. And meta-analysis is performed on the included literature using RevMan5.3 software. RESULT: In this study, the effect of traditional Chinese medicine emotional therapy on the improvement of post-stroke depression is evaluated by patient psychiatric scale score, compliance evaluation, quality of life evaluation and other indicators. CONCLUSION: This study will provide reliable evidence-based basis for establishing a reasonable and effective nursing scheme for patients with post-stroke depression. ETHICS AND DISSEMINATION: Private information from individuals will not be published. This systematic review also does not involve endangering participant rights. Ethical approval will not be required. The results may be published in a peer-reviewed journal or disseminated at relevant conferences. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/KA7G3