Estimating the epidemiological and economic impact of providing nutritional care for tuberculosis-affected households across India: a modelling study.

IF 19.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Lancet Global Health Pub Date : 2025-01-14 DOI:10.1016/s2214-109x(24)00505-9
Christopher Finn McQuaid,Rebecca A Clark,Richard G White,Roel Bakker,Peter Alexander,Roslyn Henry,Banurekha Velayutham,Malaisamy Muniyandi,Pranay Sinha,Madhavi Bhargava,Anurag Bhargava,Rein M G J Houben
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Abstract

BACKGROUND Approximately 20% of global tuberculosis incidence is attributable to undernutrition, increasing to more than a third in India. Targeting nutritional interventions to tuberculosis-affected households is a policy priority, but understanding of epidemiological and economic impacts is limited. We aimed to estimate the population-level epidemiological and economic effect of such an intervention. METHODS We used a previously published, age-stratified, compartmental transmission model of tuberculosis in India, and incorporated explicit BMI strata linked to disease progression and treatment outcomes. We used results from a recent trial of an intervention in which nutritional support in the form of food baskets was provided to people initiating tuberculosis treatment and to their household contacts (1200 kcal for patients and 750 kcal for contacts) to inform estimates of the impact and costs of nutritional support. We estimated the numbers of cases of tuberculosis disease and deaths due to tuberculosis disease that could be averted from 2023 to 2035 under the intervention scenario. FINDINGS Compared with a baseline with no nutritional intervention, at 50% coverage of adults on tuberculosis treatment and their households (around 23% of households affected by incident tuberculosis in India), providing the nutritional support intervention could prevent 361 200 (95% uncertainty interval 318 000-437 700) tuberculosis deaths and 880 700 (802 700-974 900) disease episodes from 2023 to 2035. This would be equivalent to averting approximately 4·6% (4·2-5·5) tuberculosis deaths and 2·2% (2·1-2·4) tuberculosis episodes. The additional health system cost would be US$1349 million (1221-1492), with an incremental cost-effectiveness ratio of $167 (147-187) per disability-adjusted life-year averted. The median number of households needed to treat to prevent one tuberculosis death was 24·4 and to prevent one tuberculosis case was 10·0. INTERPRETATION A nutritional intervention for tuberculosis-affected households could avert a substantial amount of tuberculosis disease and death in India, and would be highly likely to be cost-effective on the basis of the tuberculosis-specific benefits alone. FUNDING None. TRANSLATIONS For the Bangla and Hindi translations of the abstract see Supplementary Materials section.
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Lancet Global Health
Lancet Global Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
44.10
自引率
1.20%
发文量
763
审稿时长
10 weeks
期刊介绍: The Lancet Global Health is an online publication that releases monthly open access (subscription-free) issues.Each issue includes original research, commentary, and correspondence.In addition to this, the publication also provides regular blog posts. The main focus of The Lancet Global Health is on disadvantaged populations, which can include both entire economic regions and marginalized groups within prosperous nations.The publication prefers to cover topics related to reproductive, maternal, neonatal, child, and adolescent health; infectious diseases (including neglected tropical diseases); non-communicable diseases; mental health; the global health workforce; health systems; surgery; and health policy.
期刊最新文献
Rethinking pandemic metrics: are composite indices enough? Strengthening nutritional care to end tuberculosis in India. Estimating the epidemiological and economic impact of providing nutritional care for tuberculosis-affected households across India: a modelling study. Improving access to liposomal amphotericin B worldwide - Authors' reply. Improving access to liposomal amphotericin B worldwide.
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