Multidimensional Poverty and Implementation Reach of Household Contact Tracing for Tuberculosis in South Africa: Analysis of a Randomized Trial

Clicks: 1
ID: 317653
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #497 of 530 articles by views in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 530 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
BACKGROUND: Household contact tracing (HHCT) is a widely recommended intervention for tuberculosis (TB) but is poorly implemented. Multidimensional poverty, encompassing deprivations in health, education, and living standards, may hinder implementation success. METHODS: Using a cluster-randomized trial in South Africa, we examined the relationship between household multidimensional poverty as a composite deprivation score and HHCT reach as (1) initiation (at least one household contact screened); (2) continuous proportion of eligible household contacts screened; and (3) completion (all eligible household contacts screened once initiated). We performed multilevel mixed-effects modeling with modified Poisson and ordered beta regression. RESULTS: Despite near-universal comfort with HHCT (97%) among 3392 households, only 43% initiated HHCT and 19% completed screening. Greater multidimensional poverty was significantly associated with lower HHCT initiation in urban households (adjusted prevalence ratio [aPR]: 0.903, 95% confidence interval [CI]: 0.831, 0.984, per 10% higher deprivation; P = .021), but not in rural households (aPR: 1.06, 95% CI: 0.99, 1.13; P = .083). Across all households, we observed a modest but statistically significant association between greater poverty and lower predicted proportion of household contacts screened (adjusted average marginal effect [aAME]: -1.22% [-2.20%, -0.236%], per 10% higher deprivation; P = .015). Among households that initiated HHCT, multidimensional poverty was not significantly associated with screening completion (aPR: 0.945, 95% CI: 0.865, 1.03; P = .207). CONCLUSIONS: Stated comfort with HHCT may not directly translate into implementation success. Multidimensional poverty was a significant structural barrier for HHCT initiation in an urban, South African township. Once initiated, getting all household contacts screened may require targeting additional operational and health system barriers.
Reference Key
openalex_W7165010665 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Giridhar Mohan, Colleen F. Hanrahan, Pablo Martínez-Amezcua, Christopher J. Hoffmann, Patrick Biché, Neil Martinson, David W Dowdy
Journal Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Year 2026
DOI
10.1093/cid/ciag321
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.