The pertinent data were extracted and further cleaned using a standard data extraction format, prepared in Microsoft Excel sheet, and data were exported into STATA version 11.0 (Stata Corporation, College Station, Texas) for further analysis. The data were analyzed using Der Simonian and Laird's random effect meta-analysis model at 95% CI. Heterogeneity between the included studies was assessed using Cochrane Q statistics and I2 percentage with its corresponding p-values [31, 32]. In this study, the statistical value showed that there was high heterogeneity detected across the included studies (I2 = 97.4%, p ≤ 0.001). Therefore, a random-effects meta-analysis model was used to estimate the pooled level of hypertensive self-care practice in Ethiopia. Subgroup analysis was computed based on regions of the study, sample size, and year of publication to assess the possible source of heterogeneity detected in the pooled level of hypertensive self-care practice. Finally, the presence of publication bias was assessed using Egger's test [33] and presented graphically with funnel plots. A statistical test with a p-value <0.05 was considered statistically significant.

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