Effect of integrating traditional care with modern healthcare to improve tuberculosis control programs in Ethiopia: a protocol for a cluster-randomized controlled trial

Background Tuberculosis (TB) remains a major cause of morbidity and mortality in the world, despite being a preventable and curable disease. The World Health Organization (WHO) End-TB Strategy, aligned with the Sustainable Development Goals (SDGs), sets a target of reducing the TB mortality rate by 95%, TB incidence rate by 90%, and catastrophic costs due to TB by 2035, compared with a 2015 level. To achieve these ambitious targets, several interventions have been implemented in the last few years, resulting in major progress toward reducing the burden of TB. However, over one-third of the global TB cases remained undetected and never received treatment. Most of those undetected cases were found in low- and middle-income countries such as Ethiopia. Though several interventions were implemented to increase TB case detection and mitigate catastrophic costs associated with TB, sustaining these interventions in resource-constrained settings remains challenging. Consequently, an alternative method is needed to increase TB case detection while decreasing diagnosis delays and catastrophic costs. Therefore, this study aimed to integrate traditional TB care into modern TB care to improve TB control programs, including early TB case detection, and reduce catastrophic costs in high TB burden settings such as Ethiopia. Methods A cluster randomized controlled trial will be conducted in northwest Ethiopia to determine the effectiveness of integrating traditional care with modern TB care. The intervention will be conducted in randomly selected districts in the South Gondar Zone. The control group will be an equal number of districts with usual care. The intervention comprised three key components, which include referral linkage from traditional to modern health care; training of health professionals and traditional care providers in three different rounds to increase their knowledge, attitude, and skills toward the referral systems; and TB screening at traditional health care sites. The primary outcomes of interest will be an increase in case detection rate, and the secondary outcomes of interest will be decreased diagnosis delays and catastrophic costs for TB patients. Data will be collected in both the intervention and control groups on the main outcome of interest and a wide range of independent variables. Generalized linear mixed models will be used to compare the outcome of interest between the trial arms, with adjustment for baseline differences. Discussion This cl