Economic Evaluation of Implementing a Rapid Point-of-Care Screening Test for the Identification of Hepatitis C Virus under National Viral Hepatitis Control Programme in Tamil Nadu, South India.

INTRODUCTION: Viral hepatitis is a crucial public health problem in India. Hepatitis C virus (HCV) elimination is a national priority and a key strategy has been adopted to strengthen the HCV diagnostics services to ensure early and accurate diagnosis. METHODS: To conduct an economic evaluation of implementing a rapid point-of-care screening test for the identification of HCV among the selected key population under the National Viral Hepatitis Control Programme in Tamil Nadu, South India. Economic evaluation of a point-of-care screening test for HCV diagnosis among the key population attending the primary health care centers. A combination of decision tree and Markov model was developed to estimate cost-effectiveness of point-of-care screening test for HCV diagnosis at the primary health care centers. Total costs, quality-adjusted life years (QALYs) of the intervention and comparator, and incremental cost-effectiveness ratio (ICER) were calculated. The model parameter uncertainties which would influence the cost-effectiveness outcome has been evaluated by one-way sensitivity analysis and probabilistic sensitivity analysis. RESULTS: When compared to the tertiary level diagnostic strategy for HCV, the point-of-care screening for selected key population at primary health care level results in a gain of 57 undiscounted QALYs and 38 discounted QALYs, four undiscounted life years and two discounted life years. The negative ICER of the new strategy indicates that it is less expensive and more effective compared with the current HCV diagnosis strategy. CONCLUSIONS: The proposed strategy for HCV diagnosis in the selected key population in Tamil Nadu is dominant and cost-saving compared to the current strategy.

Association of Tuberculosis With Household Catastrophic Expenditure in South India.

Importance: The high household costs associated with tuberculosis (TB) diagnosis and treatment can create barriers to access and adherence, highlighting the urgency of achieving the World Health Organization's End TB Strategy target that no TB-affected households should face catastrophic costs by 2020. Objective: To estimate the occurrence of catastrophic costs associated with TB diagnosis and treatment and to identify socioeconomic indicators associated with catastrophic costs in a setting where TB control strategies have been implemented effectively. Design, Setting, and Participants: In this cross-sectional study, 455 patients with TB in the Chennai metropolitan area of South India who were treated under the TB control program between February 2017 and March 2018 were interviewed. Patients were interviewed by trained field investigators at 3 time points: at the initiation of treatment, at the end of the intensive phase of treatment, and at the end of the continuation phase of treatment. A precoded interview schedule was used to collect information on demographic, socioeconomic, and clinical characteristics and direct medical, direct nonmedical, and indirect costs. Data analysis was performed from August 2018 to November 2019. Main Outcomes and Measures: Direct, indirect, and total costs to patients with TB. Catastrophic costs associated with TB were defined as costs exceeding 20% of the household's annual income. A binary response model was used to determine the factors that were significantly associated with catastrophic costs. Results: Of 455 patients with TB interviewed, 205 (53%) were aged 19 to 45 years (mean [SD] age, 38.4 [16.0] years), 128 (33%) were female, 72 (19%) were illiterate, 126 (33%) were employed, and 186 (48%) had a single earning member in the family (percentages are based on the 384 patients who were interviewed through the end of the continuation phase of treatment). Sixty-one percent of patients (234 patients) had pulmonary smear positive TB. The proportion of patients with catastrophic costs was 31%. Indirect costs contributed more toward catastrophic cost than did direct costs. Multivariate logistic regression analysis found that unemployment (adjusted odds ratio, 0.2; 95% CI, 0.1-0.5; P < .001) and higher annual household income (Rs 1-200 000, adjusted odds ratio, 0.4; 95% CI, 0.2-0.7; P = .004; Rs >200 000, adjusted odds ratio, 0.2; 95% CI, 0.1-0.5; P < .001) were associated with a decreased likelihood of experiencing catastrophic costs. Conclusions and Relevance: Despite the implementation of free diagnostic and treatment services under a national TB control program, TB-affected households had a high risk of catastrophic costs and further impoverishment. There is an urgent demand to provide additional financial protection for patients with TB.

Catastrophic costs due to tuberculosis in South India: comparison between active and passive case finding.

BACKGROUND: To measure and compare economic burden at the household level for tuberculosis (TB) patients who were detected through active case finding (ACF) and passive case finding (PCF) in rural areas. METHODS: This study was conducted in the Thiruvallur district from October 2016 to March 2018. TB patients diagnosed through ACF were included in this study. For the comparison, patients diagnosed through ACF were recruited in the ratio of 1:2 from the same study area during the same period. Costs between the groups were compared and a multiple regression model was used to identify factors associated with catastrophic costs due to TB. RESULTS: Of the 336 individuals, 110 were diagnosed through ACF and 226 through PCF. A total of 29% of patients diagnosed through PCF and 9% of patients diagnosed through ACF experienced catastrophic costs due to TB. The multiple logistic model shows that catastrophic costs due to TB had a significant association with higher income status (adjusted odds ratio [aOR] 4.91 [confidence interval {CI} 2.39 to 10.08]; p<0.001), alcohol use (aOR 2.78 [CI 1.33 to 5.81]; p=0.007), private as a first point of care (aOR 3.91 [CI 2.01 to 7.60]; p<0.001) and PCF (aOR 3.68 [CI 1.62 to 8.33]; p=0.002). CONCLUSIONS: Findings highlight that ACF significantly averted catastrophic costs due to TB among patients. ACF as a strategy could ensure financial protection of TB patients and limit their risk of poverty.