Tuberculosis treatment delay and contributing factors within tuberculosis patients in Ethiopia: A systematic review and meta-analysis

Background

Tuberculosis (TB) is a significant public health disease and a major contributor to illness and death worldwide, including in Ethiopia. There are many information from first source which had inconclusive result in Ethiopia. Therefore, this review aimed to produce pooled evidence on the TB treatment delay and factors associated with it.

Methods

The absence of a similar study with a systematic review and meta-analysis was confirmed. Articles from online available and unpublished sources conducted within Ethiopia between 2002 and 2024, were thoroughly screened using electronic sources such as Medline, Embase, Hinari, PubMed, the Cochrane Library, the Web of Science, and Google Scholar. Data analysis was performed using STATA version 14. Heterogeneity was assessed using Inverse of Variance (I2) and Cochrane Q tests. The funnel plot was employed to rule existence of publications subjectively while bias was checked using Egger's statistical method to quantify the bias.

Result

Prevalence of TB treatment delay in Ethiopia was 50.42% at 95% (43.21, 57.64). Factors such as knowledge about TB, distance to health facilities less than 10 km, initial contact at a government service providing center for TB, having some educations, having pulmonary Tuberculosis, urban residency, were prtotective towards treatment delay. Female in gender, no chest pain symptom, disease severity with no restriction on daily activity, alcohol drinkers, and unmarried respondents were at higher risk to miss on time tuberculosis treatment.

Conclusion and recommendation

The tuberculosis treatment delay in Ethiopia was considerably unexpected and basic personal variables and facility related variables were statistically associated with treatment. Therefore, Ethiopian TB control programs have to recognize and tackle the problem, obstacles, and vulnerability across the continuum patient care taking down and connecting to treatment post-diagnosis. This can be achieved by capacitating both government and non-governmental service provision centers and minimizing unfilled difference across professional awareness and skill, which will contribute further to minimizing delay.