RESUMO
BACKGROUND: Tuberculosis (TB)-diabetes comorbid cases have increased in India with Karnataka among the states with the highest numbers. The comorbidity adversely affects the prognosis of individual diseases. Diabetes management is crucial to the management of TB. AIM: This study aims to understand the factors influencing diabetes management, and the barriers and challenges affecting the management of diabetes in TB-Diabetes comorbid patients in Udupi district. MATERIALS AND METHODS: For this mixed-method, cross-sectional study, TB-Diabetes comorbid patients, registered under the NIKSHAY in 2018 and 2019, and government Medical Officers were included in the study. Data were analyzed using SPSS. For the qualitative study, thematic analysis was done. RESULTS: A total of 154 participants were included in the study. The disease the participant developed first, the place of diabetes diagnosis, person initiating diabetes treatment, and counseling (P < 0.05), were some of the factors affecting diabetes management. In addition, alcoholism, migrant status, and old age were some of the barriers in the management of diabetes among comorbid patients. CONCLUSION: Diabetes management of alcoholics, migrants, elderly patients, and patients without a family needs special consideration for the successful management of TB-Diabetes comorbidity.
RESUMO
Active case finding (ACF) for tuberculosis (TB) was implemented in 60 selected high TB burden wards of Kolkata, India. Community volunteers called TOUCH (Targeted Outreach for Upliftment of Community Health) agents (TAs) identified and referred presumptive TB patients (PTBPs) to health facilities for TB diagnosis and treatment. We aimed to describe the "care cascade" of PTBPs that were identified during July to December 2018 and to explore the reasons for attrition as perceived by TAs and PTBPs. An explanatory mixed-methods study with a quantitative phase of cohort study using routinely collected data followed by descriptive qualitative study with in-depth interviews was conducted. Of the 3,86242 individuals that were enumerated, 1132 (0.3%) PTBPs were identified. Only 713 (63.0%) PTBPs visited a referred facility for TB diagnosis. TB was diagnosed in 177 (24.8%). The number needed to screen for one TB patient was 2183 individuals. The potential reasons for low yield were stigma and apprehension about TB, distrust about TA, wage losses for attending health facilities, and substance abuse among PTBPs. The yield of ACF was suboptimal with low PTBP identification rate and a high attrition rate. Interviewing each individual for symptoms of TB and supporting PTBPs for diagnosis through sputum collection and transport can be adopted to improve the yield.