Evidence map›Paper›PMID 32129651›Full record

ArticleAfrican journal of primary health care & family medicine2020

Interpreting Mamelodi Community-Oriented Primary Care data on tuberculosis loss to follow-up through the lens of intersectionality.

Blandine B Ilunga, Owen O Eales, Tessa S Marcus, Selma Smith, Jannie F Hugo

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Article in African journal of primary health care & family medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Infrastructural Inequality and Household COVID-19 Vulnerability in a South African Urban Settlement.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Blandine B IlungaDepartment of Family Medicine, School of Medicine, Faculty of Health Sciences, University of Pretoria, Tshwane. blandine.seb31@gmail.com.
Owen O Eales
Tessa S Marcus
Selma Smith
Jannie F Hugo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is a persistent major public health challenge in South Africa. This article examines the social determinants and demographic factors associated with TB loss to follow-up through the lens of intersectionality.

aimThe aim of this study was to describe and interpret the social determinants and demographic factors associated with TB patients lost to follow-up (LTFU).

settingMamelodi, an urban settlement in the South African District of Tshwane.

methodsAitaHealth™ is an Information and Communications Technology (ICT) mobile and web application that is used by community health workers. Data from patients with TB were extracted from the 64 319 households registered on AitaHealth™ over a 3-year period. Univariate and multivariate analyses were used to compare patients who were adherent to TB treatment and those LTFU.

resultsOf the 184 351 individuals screened for TB, 788 reported that they were diagnosed with TB (an incidence of 427 cases per 100 000). Of the 704 eligible for inclusion in this analysis, 540 (77%) were on treatment and 164 (23%) were LTFU. The factors associated with LTFU were aged over 60, not having a South African identification document, migration and death in the household, and higher mean household income.

conclusionThe results of this study serve as a reminder to clinicians of the importance of the three-stage assessment (biopsychosocial) in the approach to patients with TB. Understanding the intersection of social determinants and demographic factors helps clinicians and others identify and respond to the specificity of patient, health system and non-health policy issues at play in LTFU.

Indexed as

Lost to Follow-UpPrimary Health CareSocial Determinants of HealthAdultAgedCross-Sectional StudiesDemographyFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSouth AfricaTuberculosisUrban PopulationCommunity Health WorkersCommunity-Oriented Primary CareeHealthIntersectionalityLoss to Follow-UpSocial DeterminantsTuberculosis

Identifiers

PMID32129651
PMCPMC7061220

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.