Data extraction sheet.

Antimicrobial resistance (AMR) is a silent pandemic that has claimed millions of lives, and resulted in long-term disabilities, limited treatment options, and high economic costs associated with the healthcare burden. Given the rising prevalence of AMR, which is expected to pose a challenge to current empirical antibiotic treatment strategies, we sought to summarize the available data on knowledge, attitudes, and practices regarding AMR in Ethiopia. Articles were searched in international electronic databases. Microsoft Excel spreadsheet and STATA software version 16 were used for data extraction and analysis, respectively. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis 2020 checklist was followed. The methodological quality of the studies included was assessed by the Joana Briggs Institute critical appraisal checklists. The random-effect meta-analysis model was used to estimate Der Simonian-Laird’s pooled effect. Statistical heterogeneity of the meta-analysis was checked through Higgins and Thompson’s I2 statistics and Cochran’s Q test. Publication bias was investigated by funnel plots, and the regression-based test of Egger for small study effects with a P value 2 = 99.0%, P 2 = 99.6, P 2 = 93.1, P