Evidence map›Paper›PMID 33956881›Full record

ArticlePloS one2021

Balancing HIV testing efficiency with HIV case-identification among children and adolescents (2-19 years) using an HIV risk screening approach in Tanzania.

Gretchen Antelman, Michelle M Gill, Ola Jahanpour, Roland van de Ven, Catherine Kahabuka, Asheri Barankana, Sharon Lwezaura, Naftali Ngondi, Alison Koler, Peris Urasa and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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.

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 3 institutions in 2 countries.

Gretchen AntelmanElizabeth Glaser Pediatric AIDS Foundation, Dar es Salaam, Tanzania.ORCID 0000-0001-7906-9964
Michelle M GillElizabeth Glaser Pediatric AIDS Foundation, Washington, DC, United States of America.
Ola JahanpourElizabeth Glaser Pediatric AIDS Foundation, Dar es Salaam, Tanzania.
Roland van de VenElizabeth Glaser Pediatric AIDS Foundation, Dar es Salaam, Tanzania.
Catherine KahabukaCSK Research Solutions, Dar es Salaam, Tanzania.
Asheri BarankanaPact, Dar es Salaam, Tanzania.
Sharon LwezauraNational AIDS Control Program, Ministry of Health, Community Development, Gender, Elderly and Children, Dodoma, Tanzania.
Naftali NgondiDepartment of Social Welfare, Ministry of Health, Community Development, Gender, Elderly and Children, Dodoma, Tanzania.
Alison KolerPact, Washington DC, United States of America.
Peris UrasaNational AIDS Control Program, Ministry of Health, Community Development, Gender, Elderly and Children, Dodoma, Tanzania.
Rhoderick MachekanoElizabeth Glaser Pediatric AIDS Foundation, Washington, DC, United States of America.
Elizabeth Glaser Pediatric AIDS Foundation · TZMinistry of Health, Community Development, Gender, Elderly and Children · TZElizabeth Glaser Pediatric AIDS Foundation · US

Funding

PEPFAR
6 · The paper itself

Abstract

To optimize HIV testing resources, programs are moving away from universal testing strategies toward a risk-based screening approach to testing children/adolescents, but there is little consensus around what defines an optimal risk screening tool. This study aimed to validate a 12-item risk screening tool among children and adolescents and provide suggested fewer-item tool options for screening both facility out-patient and community populations by age strata (<10 and ≥10 years). Children/adolescents (2-19 years) with unknown HIV status were recruited from a community-based vulnerable children program and health facilities in 5 regions of Tanzania in 2019. Lay workers administered the screening questions to caregivers/adolescents; nurses enrolled those eligible for the study and tested all participants for HIV. For each screening item, we estimated sensitivity, specificity, positive predictive value and negative predictive value and associated 95% confidence intervals (CI). We generated a score based on the count of items with a positive risk response and fit a receiver operating characteristic curve to determine a cut-off score. Sensitivity, specificity, positive predictive value (PPV; yield) and number needed to test to detect an HIV-positive child (NNT) were estimated for various tool options by age group. We enrolled 21,008 children and adolescents. The proportion of undiagnosed HIV-positive children was low (n = 76; 0.36%; CI:0.29,0.45%). A screening algorithm based on reporting at least one or more items on the 10 to 12-item tool had sensitivity 89.2% (CI:79.1,95.6), specificity 37.5% (CI:36.8,38.2), positive predictive value 0.5% (CI:0.4,0.6) and NNT = 211. An algorithm based on at least two or more items resulted in lower sensitivity (64.6%), improved specificity (69.1%), PPV (0.7%) and NNT = 145. A shorter tool derived from the 10 to 12-item screening tool with a score of "1" or more on the following items: relative died, ever hospitalized, cough, family member with HIV, and sexually active if 10-19 years performed optimally with 85.3% (CI:74.6,92.7) sensitivity, 44.2% (CI:43.5,44.9) specificity, 0.5% (CI:0.4,0.7) PPV and NNT = 193. We propose that different short-tool options (3-5 items) can achieve an optimal balance between reduced HIV testing costs (lower NNT) with acceptable sensitivity. In low prevalence settings, changes in yield may be negligible and NNT may remain high even for an effective tool.

Indexed as

AdolescentAge FactorsAlgorithmsChildChild, PreschoolEfficiency, OrganizationalFemaleHIV InfectionsHIV TestingHumansMaleMass ScreeningRisk FactorsSensitivity and SpecificitySurveys and QuestionnairesTanzania

Identifiers

PMID33956881
PMCPMC8101905
OpenAlexW3157617914

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.