Evidence map›Paper›PMID 33882190›Full record

ArticleJournal of the International AIDS Society2021

Comprehensive investigation of sources of misclassification errors in routine HIV testing in Zimbabwe.

Simon Gregson, Louisa Moorhouse, Tawanda Dadirai, Haynes Sheppard, Justin Mayini, Nadine Beckmann, Morten Skovdal, Janet Dzangare, Brian Moyo, Rufurwokuda Maswera and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Nucleic acid amplification testing using dried blood spots to confirm the diagnosis of HIV-1 in adults.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2024
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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

15 authors at 8 institutions in 4 countries.

Simon GregsonDepartment of Infectious Disease Epidemiology, Imperial College London School of Public Health, London, UK.ORCID 0000-0003-2707-0714
Louisa MoorhouseDepartment of Infectious Disease Epidemiology, Imperial College London School of Public Health, London, UK.ORCID 0000-0002-9674-0462
Tawanda DadiraiBiomedical Research and Training Institute, Harare, Zimbabwe.
Haynes SheppardGlobal Solutions for Infectious Diseases, San Francisco, CA, USA.
Justin MayiniBiomedical Research and Training Institute, Harare, Zimbabwe.
Nadine BeckmannUniversity of Roehampton, London, UK.
Morten SkovdalUniversity of Copenhagen, Copenhagen, Denmark.
Janet DzangareZimbabwe Ministry of Health and Child Care, Harare, Zimbabwe.
Brian MoyoZimbabwe Ministry of Health and Child Care, Harare, Zimbabwe.
Rufurwokuda MasweraBiomedical Research and Training Institute, Harare, Zimbabwe.
Benjamin A PinskyStanford University, Stanford, CA, USA.
Sungano MharakurwaAfrica University, Mutare, Zimbabwe.
Ian FrancisGlobal Solutions for Infectious Diseases, San Francisco, CA, USA.
Owen MugurungiZimbabwe Ministry of Health and Child Care, Harare, Zimbabwe.
Constance NyamukapaDepartment of Infectious Disease Epidemiology, Imperial College London School of Public Health, London, UK.
Biomedical Research and Training Institute · ZWMinistry of Health and Child Welfare · ZWPublic Health England · GBGlobal Solutions for Infectious Diseases · USAfrica University · ZWStanford University · USUniversity of Copenhagen · DKUniversity of Roehampton · GB

Funding

Epidemiology of Malaria Invasion in Mutare City and Targets for Elimination, ZimbabweK43TW011414 · FIC · AFRICA UNIVERSITY · PI MHARAKURWA, SUNGANO · 2021 to 2025
$506k
FIC NIH HHS K43 TW011414Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

introductionMisclassification errors have been reported in rapid diagnostic HIV tests (RDTs) in sub-Saharan African countries. These errors can lead to missed opportunities for prevention-of-mother-to-child-transmission (PMTCT), early infant diagnosis and adult HIV-prevention, unnecessary lifelong antiretroviral treatment (ART) and wasted resources. Few national estimates or systematic quantifications of sources of errors have been produced. We conducted a comprehensive assessment of possible sources of misclassification errors in routine HIV testing in Zimbabwe.

methodsRDT-based HIV test results were extracted from routine PMTCT programme records at 62 sites during national antenatal HIV surveillance in 2017. Positive- (PPA) and negative-percent agreement (NPA) for HIV RDT results and the false-HIV-positivity rate for people with previous HIV-positive results ("known-positives") were calculated using results from external quality assurance testing done for HIV surveillance purposes. Data on indicators of quality management systems, RDT kit performance under local climatic conditions and user/clerical errors were collected using HIV surveillance forms, data-loggers and a Smartphone camera application (7 sites). Proportions of cases with errors were compared for tests done in the presence/absence of potential sources of errors.

resultsNPA was 99.9% for both pregnant women (N = 17224) and male partners (N = 2173). PPA was 90.0% (N = 1187) and 93.4% (N = 136) for women and men respectively. 3.5% (N = 1921) of known-positive individuals on ART were HIV negative. Humidity and temperature exceeding manufacturers' recommendations, particularly in storerooms (88.6% and 97.3% respectively), and premature readings of RDT output (56.0%) were common. False-HIV-negative cases, including interpretation errors, occurred despite staff training and good algorithm compliance, and were not reduced by existing external or internal quality assurance procedures. PPA was lower when testing room humidity exceeded 60% (88.0% vs. 93.3%; p = 0.007).

conclusionsFalse-HIV-negative results were still common in Zimbabwe in 2017 and could be reduced with HIV testing algorithms that use RDTs with higher sensitivity under real-world conditions and greater practicality under busy clinic conditions, and by strengthening proficiency testing procedures in external quality assurance systems. New false-HIV-positive RDT results were infrequent but earlier errors in testing may have resulted in large numbers of uninfected individuals being on ART.

Indexed as

AdultDiagnostic Tests, RoutineFemaleHIV InfectionsHIV TestingHumansInfectious Disease Transmission, VerticalMaleMass ScreeningPregnancyPregnancy Complications, InfectiousReproducibility of ResultsSensitivity and SpecificityZimbabwefalse-HIV-negative resultsfalse-HIV-positive resultsHIV testingmisclassification errorsrapid diagnostic testsZimbabwe

Identifiers

PMID33882190
PMCPMC8059712
OpenAlexW3156931460

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.