Evidence map›Paper›PMID 34166312›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2021

Improving Sampling Efficiency for Determining Pediatric HIV Prevalence in National Surveys: Evidence From 8 Sub-Saharan African Countries.

Giles Reid, Andrew C Voetsch, Paul Stupp, Stephen McCracken, Graham Kalton, Sindisiwe Dlamini, James McOllogi Juma, Thoko Kalua, Wilford Kirungi, Masebeo Koto and 5 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04117984 (Swaziland HIV Incidence Measurement Survey), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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.

NCT04117984 completednot on this map

Swaziland HIV Incidence Measurement Survey (SHIMS 2, 2016): a Population-based HIV Impact Assessment (PHIA)

TypeobservationalSponsorColumbia UniversityRan2016 to 2019Enrolled15,429ConditionsHIV/AIDS
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 12 institutions in 9 countries.

Giles ReidICAP at Columbia University, New York, NY.
Andrew C VoetschU.S. Centers for Disease Control and Prevention, Atlanta, GA.
Paul StuppU.S. Centers for Disease Control and Prevention, Atlanta, GA.
Stephen McCrackenU.S. Centers for Disease Control and Prevention, Atlanta, GA.
Graham KaltonWestat, Rockville, MD.
Sindisiwe DlaminiMinistry of Health, Eswatini, Mbabane, Eswatini.
James McOllogi JumaMinistry of Health, Community Development, Gender, Elderly and Children, Tanzania, Dodoma, Tanzania.
Thoko KaluaMinistry of Health and Population, Lilongwe, Malawi.
Wilford KirungiMinistry of Health, Republic of Uganda, Kampala, Uganda.
Masebeo KotoMinistry of Health, Lesotho, Maseru, Lesotho.
Owen MugurungiMinistry of Health and Child Care, Harare, Zimbabwe.
Lloyd MulengaMinistry of Health, Lusaka, Zambia; and.
Nicholus MutendaMinistry of Health and Social Services, Windhoek, Namibia.
Lawrence MarumU.S. Centers for Disease Control and Prevention, Atlanta, GA.
Suzue SaitoICAP at Columbia University, New York, NY.
Centers for Disease Control and Prevention · USColumbia University · USICAP Global HealthMinistry of Health · ZMMinistry of Health · UGMinistry of Health · SZMinistry of Health · MWMinistry of Health · LSMinistry of Health and Child Welfare · ZWMinistry of Health and Social Services · NAMinistry of Health, Community Development, Gender, Elderly and Children · TZWestat (United States) · US

Funding

CGH CDC HHS U2G GH000994CGH CDC HHS U2G GH001226PEPFAR
6 · The paper itself

Abstract

backgroundMeasurement of mother-to-child HIV transmission through population-based surveys requires large sample sizes because of low HIV prevalence among children. We estimate potential improvements in sampling efficiency resulting from a targeted sample design.

settingEight countries in sub-Saharan Africa with completed Population-based HIV Impact Assessment (PHIA) surveys as of 2017.

methodsThe PHIA surveys used a geographically stratified 2-stage sample design with households sampled from randomly selected census enumeration areas. Children (0-14 years of age) were eligible for HIV testing within a random subsample of households (usually 50%). Estimates of child HIV prevalence in each country were calculated using jackknife replicate weights. We compared sample sizes and precision achieved using this design with a 2-phase disproportionate sample design applied to strata defined by maternal HIV status and mortality.

resultsHIV prevalence among children ranged from 0.4% (95% confidence interval: 0.2 to 0.6) in Tanzania to 2.8% (95% confidence interval: 2.2 to 3.4) in Eswatini with achieved relative standard errors between 11% and 21%. The expected precision improved in the targeted design in all countries included in the analysis, with proportionate reductions in mean squared error ranging from 27% in Eswatini to 61% in Tanzania, assuming an equal sample size.

conclusionsPopulation-based surveys of adult HIV prevalence that also measure child HIV prevalence should consider targeted sampling of children to reduce required sample size, increase precision, and increase the number of positive children tested. The findings from the PHIA surveys can be used as baseline data for informing future sample designs.

Indexed as

Health SurveysHIV-1Infectious Disease Transmission, VerticalAdultAfrica South of the SaharaChildData CollectionEpidemiological MonitoringFemaleHIV InfectionsHumansPregnancyPrevalence

Identifiers

PMID34166312
PMCPMC8588417
OpenAlexW3174047207

What OpenQuestion holds

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Registered trials

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.