%0 Meta-Analysis
%T Relationship Between Mental Health Disorders and Readmissions Following Total Joint Arthroplasty: A Systematic Review and Meta-Analysis.
%A Sumbal R
%A Murtaza M
%A Sumbal A
%A Farooq A
%A Ali Baig MM
%A Qadar LT
%J J Arthroplasty
%V 38
%N 1
%D Jan 2023
%M 35987494
%F 4.435
%R 10.1016/j.arth.2022.08.017
%X BACKGROUND: There is limited evidence exploring the relationship between mental health disorders and the readmissions following total joint arthroplasty (TJA). Therefore, we conducted a meta-analysis to evaluate the relationship between mental health disorders and the risk of readmission following TJA.
METHODS: We searched PubMed, Cochrane, and Google Scholar from their inception till April 19, 2022. Studies exploring the association of mental health disorders and readmission risk following TJA were selected. The outcomes were divided into 30-day readmission, 90-day readmission, and readmission after 90 days. We also performed subgroup analyses based on the type of arthroplasty: total hip arthroplasty (THA) and total knee arthroplasty (TKA). A total of 12 studies were selected, of which 11 were included in quantitative analysis. A total of 1,345,893 patients were evaluated, of which 73,953 patients suffered from mental health disorders.
RESULTS: The risk of 30-day readmission (odds ratio = 1.43, 95% CI 1.14-1.80, P = .002, I2 = 87%) and 90-day readmission (OR = 1.35, 95% CI 1.22-1.49, P < .00001, I2 = 89%) was significantly associated with mental health disorders. On subgroup analyses, 30-day readmission was significantly associated with THA (OR = 1.29, 95% CI 1.04-1.60, P = .02), but not with TKA (OR = 1.44, 95% CI 0.51-4.06, P = .50). Similarly, 90-day readmission was significantly associated with both THA (OR = 1.21, 95% CI 1.14-1.29, P < .00001) and TKA (OR = 1.33, 95% CI 1.17-1.51, P < .0001).
CONCLUSIONS: Mental health disorders are significantly associated with increased 30-day and 90-day readmissions. Increasing awareness regarding mental health disorders and readmission in arthroplasty will help in efficient preoperative risk stratification and better postoperative management in these patients.