Evidence map›Paper›PMID 25875851›Full record

ArticlePloS one2015

Participation dynamics in population-based longitudinal HIV surveillance in rural South Africa.

Joseph Larmarange, Joël Mossong, Till Bärnighausen, Marie Louise Newell

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Joseph LarmarangeCentre Population & Développement (UMR 196 Paris Descartes Ined IRD), Institut de Recherche pour le Développement, Paris, France; Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa.
Joël MossongAfrica Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa; Surveillance & Epidemiology of Infectious Diseases, Laboratoire National de Santé, Luxembourg, Luxembourg.
Till BärnighausenAfrica Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa; Department of Global Health and Population, Harvard School of Public Health, Harvard University, Boston, Massachusetts, United States of America.
Marie Louise NewellAfrica Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa; Faculty of Medicine, Faculty of Social and Human Sciences, University of Southampton, Southampton, United Kingdom.

Funding

Causal Pathways to population health impact of HIV antiretroviral treatmentR01HD084233 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2015 to 2021
$2.3M
Understanding causal pathways of HIV acquisition and transmission: a multi-level,R01HD058482 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2008 to 2012
$1.2M
NICHD NIH HHS 1R01-HD058482-01NICHD NIH HHS R01 HD058482NICHD NIH HHS R01 HD084233Wellcome Trust 065377/2/01/BWellcome Trust 082384/Z/07/ZWellcome Trust 097410
6 · The paper itself

Abstract

Population-based HIV surveillance is crucial to inform understanding of the HIV pandemic and evaluate HIV interventions, but little is known about longitudinal participation patterns in such settings. We investigated the dynamics of longitudinal participation patterns in a high HIV prevalence surveillance setting in rural South Africa between 2003 and 2012, taking into account demographic dynamics. At any given survey round, 22,708 to 30,495 persons were eligible. Although the yearly participation rates were relatively modest (26% to 46%), cumulative rates increased substantially with multiple recruitment opportunities: 68% of eligible persons participated at least once, 48% at least twice and 31% at least three times after five survey rounds. We identified two types of study fatigue: at the individual level, contact and consent rates decreased with multiple recruitment opportunities and, at the population level, these rates also decreased over calendar time, independently of multiple recruitment opportunities. Using sequence analysis and hierarchical clustering, we identified three broad individual participation profiles: consenters (20%), switchers (43%) and refusers (37%). Men were over represented among refusers, women among consenters, and temporary non-residents among switchers. The specific subgroup of persons who were systemically not contacted or refusers constitutes a challenge for population-based surveillance and interventions.

Indexed as

Population SurveillanceRural PopulationDatabases, FactualFemaleHIV InfectionsHumansMalePopulation DynamicsPrevalenceSouth Africa

Identifiers

PMID25875851
PMCPMC4395370

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.