ABSTRACT
Background: India has the highest burden of tuberculosis in the world. It is experiencing an increasing burden of noncommunicable diseases, thereby facing a dual disease burden. Recent evidence shows an association between TB and noncommunicable diseases like diabetes, CVD and chronic respiratory infections. Aims and Objectives: To assess the feasibility of screening for NCDs and risk factors for NCDs among patients with TB in DOTS centers of a medical college in Delhi and ascertain challenges for the same among providers and patients. Methodology: It was a mixed-methods study with a quantitative component (cross-sectional study using questionnaires, anthropometric measurements and records review) and a qualitative component (descriptive study using interview data). Results: Among the 139 patients screened, ten new cases of hypertension and six new patients were diagnosed with DM. Outof- pocket expenditure for tests was a concern of the patients. Health care providers found the screening tool easy to use but were apprehensive about increased workload Conclusion: The study provide useful visions for incorporating NCDs into routine TB care through DOTS centers under RNTCP/NTEP.
ABSTRACT
Background: Delay in diagnosis and treatment enhances tuberculosis (TB) transmission and mortality. Understanding causes for delay can help in TB elimination by 2025, the stated goal of India. Objectives: Estimate diagnostic and treatment delay in Ernakulam district of Kerala, identify associated factors, and determine health-seeking behavior and knowledge regarding TB among new pulmonary TB patients. Materials and Methods: Community-based cross-sectional study among the new pulmonary TB patients registered under Revised National TB Control Program. Patients interviewed in-person and data collected using pretested semi-structured questionnaire. Descriptive statistics expressed as frequency, percent, interquartile range, median, and mean. The Chi?square test was used to assess statistical significance (P < 0.05) of association. Backward conditional method logistic regression done using variables with P < 0.2 in univariate analysis and adjusting for possible confounders. Results: Two hundred and twenty-nine patients interviewed and the median patient, health-care system, and treatment delay were 25 days, 22 days, and 1 day, respectively. While the patient delay (>30 days) and treatment delay (>2 days) were seen in 47.6% and 41% of patients, respectively, health?care system delay was seen in 79.9% of the patients. Choosing pharmacy for initial treatment (adjusted odds ratio [aOR] = 5.217), unskilled occupation (aOR = 3.717), female gender (aOR = 3.467), previously not heard about TB (aOR = 3.410), and lower education level (aOR = 2.774) were the independent predictors of the patient delay. Visiting two or more doctors (aOR = 5.855) and initially visiting a doctor of undergraduate qualification (aOR = 3.650) were the independent predictors of health?care system delay. The diagnosis in private sector (aOR = 8.989), not being admitted (aOR = 3.441), and age above 60 years (aOR = 0.394) was the independent predictors of treatment delay. Conclusion: Initial treatment from pharmacy, consulting multiple physicians, and diagnosis by private sector cause significant delay in diagnosis and treatment of pulmonary TB.
ABSTRACT
Background: By the year 2030, no family with a patient of tuberculosis (TB) is supposed to incur cata-strophic costs. In India, a significant number of people suffer from TB, and many faces catastrophic costs. Our objective was to determine the predictors of catastrophic costs due to TB among co-prevalent TB-HIV and TB-diabetes patients. Methods: We conducted a cross-sectional study among 234 patients co-affected with TB-HIV and 304 patients with TB-diabetes co-prevalence in the Bhavnagar region (western part of India). TB costs was estimated using a validated questionnaire. Multivariable logistic regression was used to determine the significant predictors of catastrophic costs of TB. Results: Four percent of patients in each group incurred catastrophic costs due to TB. Female gender [aOR 6 (1.2-33)], being single [aOR 9 (1.5-52)], low socioeconomic status [aOR 7 (1.2-30)], private con-sultation for TB [aOR 9 (1.5-53)], and hospitalization in first HIV visit [aOR 19 (3-137)] were significant-ly predicted catastrophic costs of TB among patients co-affected with TB-HIV. Among patients with TB-diabetes co-prevalence, hospitalization in first TB visit [aOR 7 (2-29)], and private consultation for TB [aOR 7 (1.6-30)] were the significant predictors. Conclusions: Despite a lower percentage of TB-HIV/ TB-diabetes patients facing catastrophic costs, hospitalization and private care-seeking are the “modifiable” determinants of TB catastrophic costs in our study setting.