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A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions
Tuberculosis screening programs commonly target areas with high case notification rates. However, this may exacerbate disparities by excluding areas that already face barriers to accessing diagnostic services. We compared historic case notification rates, demographic, and socioeconomic indicators as...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764089/ https://www.ncbi.nlm.nih.gov/pubmed/35039612 http://dx.doi.org/10.1038/s41598-022-04834-7 |
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author | Brooks, Meredith B. Jenkins, Helen E. Puma, Daniela Tzelios, Christine Millones, Ana Karina Jimenez, Judith Galea, Jerome T. Lecca, Leonid Becerra, Mercedes C. Keshavjee, Salmaan Yuen, Courtney M. |
author_facet | Brooks, Meredith B. Jenkins, Helen E. Puma, Daniela Tzelios, Christine Millones, Ana Karina Jimenez, Judith Galea, Jerome T. Lecca, Leonid Becerra, Mercedes C. Keshavjee, Salmaan Yuen, Courtney M. |
author_sort | Brooks, Meredith B. |
collection | PubMed |
description | Tuberculosis screening programs commonly target areas with high case notification rates. However, this may exacerbate disparities by excluding areas that already face barriers to accessing diagnostic services. We compared historic case notification rates, demographic, and socioeconomic indicators as predictors of neighborhood-level tuberculosis screening yield during a mobile screening program in 74 neighborhoods in Lima, Peru. We used logistic regression and Classification and Regression Tree (CART) analysis to identify predictors of screening yield. During February 7, 2019–February 6, 2020, the program screened 29,619 people and diagnosed 147 tuberculosis cases. Historic case notification rate was not associated with screening yield in any analysis. In regression analysis, screening yield decreased as the percent of vehicle ownership increased (odds ratio [OR]: 0.76 per 10% increase in vehicle ownership; 95% confidence interval [CI]: 0.58–0.99). CART analysis identified the percent of blender ownership (≤ 83.1% vs > 83.1%; OR: 1.7; 95% CI: 1.2–2.6) and the percent of TB patients with a prior tuberculosis episode (> 10.6% vs ≤ 10.6%; OR: 3.6; 95% CI: 1.0–12.7) as optimal predictors of screening yield. Overall, socioeconomic indicators were better predictors of tuberculosis screening yield than historic case notification rates. Considering community-level socioeconomic characteristics could help identify high-yield locations for screening interventions. |
format | Online Article Text |
id | pubmed-8764089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87640892022-01-18 A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions Brooks, Meredith B. Jenkins, Helen E. Puma, Daniela Tzelios, Christine Millones, Ana Karina Jimenez, Judith Galea, Jerome T. Lecca, Leonid Becerra, Mercedes C. Keshavjee, Salmaan Yuen, Courtney M. Sci Rep Article Tuberculosis screening programs commonly target areas with high case notification rates. However, this may exacerbate disparities by excluding areas that already face barriers to accessing diagnostic services. We compared historic case notification rates, demographic, and socioeconomic indicators as predictors of neighborhood-level tuberculosis screening yield during a mobile screening program in 74 neighborhoods in Lima, Peru. We used logistic regression and Classification and Regression Tree (CART) analysis to identify predictors of screening yield. During February 7, 2019–February 6, 2020, the program screened 29,619 people and diagnosed 147 tuberculosis cases. Historic case notification rate was not associated with screening yield in any analysis. In regression analysis, screening yield decreased as the percent of vehicle ownership increased (odds ratio [OR]: 0.76 per 10% increase in vehicle ownership; 95% confidence interval [CI]: 0.58–0.99). CART analysis identified the percent of blender ownership (≤ 83.1% vs > 83.1%; OR: 1.7; 95% CI: 1.2–2.6) and the percent of TB patients with a prior tuberculosis episode (> 10.6% vs ≤ 10.6%; OR: 3.6; 95% CI: 1.0–12.7) as optimal predictors of screening yield. Overall, socioeconomic indicators were better predictors of tuberculosis screening yield than historic case notification rates. Considering community-level socioeconomic characteristics could help identify high-yield locations for screening interventions. Nature Publishing Group UK 2022-01-17 /pmc/articles/PMC8764089/ /pubmed/35039612 http://dx.doi.org/10.1038/s41598-022-04834-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Brooks, Meredith B. Jenkins, Helen E. Puma, Daniela Tzelios, Christine Millones, Ana Karina Jimenez, Judith Galea, Jerome T. Lecca, Leonid Becerra, Mercedes C. Keshavjee, Salmaan Yuen, Courtney M. A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions |
title | A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions |
title_full | A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions |
title_fullStr | A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions |
title_full_unstemmed | A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions |
title_short | A role for community-level socioeconomic indicators in targeting tuberculosis screening interventions |
title_sort | role for community-level socioeconomic indicators in targeting tuberculosis screening interventions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764089/ https://www.ncbi.nlm.nih.gov/pubmed/35039612 http://dx.doi.org/10.1038/s41598-022-04834-7 |
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