Meta analysis of factors influencing falls in maintenance hemodialysis patients
Objective This research is taking the systematically evaluate the influencing factors of falls in maintenance hemodialysis patients by using the Metaanalysis method,so as to provide a reference for medical staffto identify high-risk easy fall patients at early stage and reduce the incidence of falls in maintenance hemodialysis patients.Methods PubMed,Embase,CINAHL,Web of Science,China National Knowledge Infrastructure,Wanfang Medical Network,Weipu,and China Biomedical Database were systematically searched for relevant articles on factors affecting falls in maintenance hemodialysis patients.The search time was set to be from the establishment of the database to August 2022.Two researchers independently screened,extracted and evaluated the literature according to the standards.The literature quality evaluation used the JBI literature quality evaluation tool,used Stata 17 software to conduct a Meta analysis of the study results,used the Q test and the I2 statistic to test the heterogeneity between the studies,and used Begg's analysis to evaluate the publication bias of the original literature.Results A total of 19 studies were included in this Meta analysis,including 14 cohort studies and 5 cross-sectional studies,including 5,599 patients.The results of the Metaanalysis showed that older age,diabetes,hypertension,hypoglobin,dialysis hypotension,and debilitation were the independent factors(P<0.05)that influenced the occurrence of falls in maintenance hemodialysis patients,of which older age,diabetes mellitus,hypertension,low hemoglobin index,dialysis hypotension,and debilitation were more easily to fall.Conclusion Patients with advanced age,diabetes,hypertension,low hemoglobin inemia,dialysis and hypotension,and weakness more likely to fall,and targeted preventive measures should be taken to reduce the incidence according to those factors of the patients.It is recommended that in the course of clinical practice,medical staffshould take corresponding preventive measures for patients in accordance with the principle of personalization in light of the actual clinical situation.
万方数据
维普
