Patient Delay in Initiating Tuberculosis Treatment and Associated Factors in Oromia Special Zone, Amhara Region.

backgroundTuberculosis (TB) is a major global public health problem. The disease is a leading cause of morbidity and mortality in Ethiopia. Early identification of cases and commencement of effective chemotherapy is an effective method to control the spread of tuberculosis. Delay in diagnosis and starting tuberculosis treatment increases severity, risk of mortality, and transmission of the disease in the community.

objectiveThe purpose of this study is to assess the magnitude of patient delay in initiating tuberculosis treatment and its associated factors among tuberculosis patients in health facilities of Oromia Special Zone, Ethiopia.

methodsA facility-based cross-sectional study was conducted in Oromia Special Zone. Data were collected using pretested questionnaires from patients with tuberculosis who are on treatment during the study period. The simple random sampling method was used to select health facilities and study participants. Data were entered using Epi Info version 7.2 and analyzed by SPSS version 23. Bivariate and multivariate logistic regression analyses were used to see the significance of association between the outcome and independent variables. A

resultsThree hundred and eighty-seven tuberculosis patients aged 18 years and above enrolled in the study. Among these, 223 (57.6%) were males, 194 (50.1%) were married, and 206 (53.2%) lived in rural areas. The mean age of respondents was 35 years. The median patient delay was 35 (IQR = 30) days, and 54.4% of patients seek their first consultation after 21 days. Patients who have a basic schooling level (AOR = 0.45, 95% CI: 0.23, 0.89) compared with the college/university level, long distance greater than 10 km (AOR = 3.23, 95% CI: 1.97, 5.42), seeking treatment from informal source and private drug stores (AOR = 3.01, 95% CI: 1.52, 5.95), extrapulmonary tuberculosis (AOR = 2.30, 95% CI: 1.26, 4.23), and poor knowledge about tuberculosis (AOR = 1.58, 95% CI: 1.01, 2.49) were associated factors that predict patient delay.