Evidence map›Paper›PMID 30618463›Full record

ArticleBulletin of the World Health Organization2019

HIV prevalence in young people and children living on the streets, Kenya.

Paula Braitstein, David Ayuku, Allison DeLong, Dominic Makori, Edwin Sang, Carren Tarus, Allan Kamanda, Pooja Shah, Edith Apondi, Juddy Wachira

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Bulletin of the World Health Organization, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Paula BraitsteinDalla Lana School of Public Health, Division of Epidemiology, University of Toronto, 155 College Street, 5th floor, Toronto, Ontario M5T 3M7, Canada.
David AyukuSchool of Medicine, Moi University College of Health Sciences, Eldoret, Kenya.
Allison DeLongSchool of Public Health, Brown University, Providence, United States of America.
Dominic MakoriAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Edwin SangAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Carren TarusAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Allan KamandaMoi Teaching and Referral Hospital, Eldoret, Kenya.
Pooja ShahAcademic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Edith ApondiMoi Teaching and Referral Hospital, Eldoret, Kenya.
Juddy WachiraSchool of Medicine, Moi University College of Health Sciences, Eldoret, Kenya.
AMPATH · KEMoi University · KEBrown University · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
Orphaned & Separated Children's Assessment Related to their Health & Well-BeingR01HD060478 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI BRAITSTEIN, PAULA KARINA ALICE, SIDLE, JOHN E · 2009 to 2019
$5.4M
NIAID NIH HHS P30 AI042853NICHD NIH HHS R01 HD060478
6 · The paper itself

Abstract

objectiveTo obtain an estimate of the size of, and human immunodeficiency (HIV) prevalence among, young people and children living on the streets of Eldoret, Kenya.

methodsWe counted young people and children using a point-in-time approach, ensuring we reached our target population by engaging relevant community leaders during the planning of the study. We acquired point-in-time count data over a period of 1 week between the hours of 08:00 and 23:00, from both a stationary site and by mobile teams. Participants provided demographic data and a fingerprint (to avoid double-counting) and were encouraged to speak with an HIV counsellor and undergo HIV testing. We used a logistic regression model to test for an association between age or sex and uptake of HIV testing and seropositivity.

findingsOf the 1419 eligible participants counted, 1049 (73.9%) were male with a median age of 18 years. Of the 1029 who spoke with a counsellor, 1004 individuals accepted HIV counselling and 947 agreed to undergo an HIV test. Combining those who were already aware of their HIV-positive status with those who were tested during our study resulted in an overall HIV seroprevalence of 4.1%. The seroprevalence was 2.7% (19/698) for males and 8.9% (23/259) for females. We observed an increase in seroprevalence with increasing age for both sexes, but of much greater magnitude for females.

conclusionBy counting young people and children living on the streets and offering them HIV counselling and testing, we could obtain population-based estimates of HIV prevalence.

Indexed as

AdolescentAdultAge DistributionChildChild, PreschoolCounselingCross-Sectional StudiesDermatoglyphicsFemaleHIV InfectionsHumansKenyaLogistic ModelsMaleMass ScreeningPatient Acceptance of Health Care

Identifiers

PMID30618463
PMCPMC6307507
OpenAlexW2905735825

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.