Factors affecting diabetes management among tuberculosis-diabetes comorbid patients in Udupi District

Abstract

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.

Predictors for Concurrent Diabetes in Tuberculosis Patients. Perspectives from Two Mining Districts of Eastern Tribal State Jharkhand, in India

“…We noted a strong association between diabetics and site of disease; in our case, in pulmonary tuberculosis, such associations can be found in other study as well. [ 23 24 ] As we noted in our study that most of cases are categorized as pulmonary or extrapulmonary. Studies done on Nikshay portal data set have given the similar percentage distribution regarding the diagnosis and outcomes.…”

“…Issues regarding poor quality of data being entered and Nikshay being hard to understand, etc., are there, such issues have been highlighted by other studies as well. [ 22 23 ] Our data gaps are, thus, self-explanatory and need more serious handling.…”