Evidence map›Paper›PMID 36037201›Full record

ArticlePloS one2022

Evaluation of accuracy and performance of self-reported HIV and antiretroviral therapy status in the Nigeria AIDS Indicator and Impact Survey (2018).

Ibrahim Jahun, Akipu Ehoche, Moyosola Bamidele, Aminu Yakubu, Megan Bronson, Ibrahim Dalhatu, Stacie Greby, Chinedu Agbakwuru, Ibrahim Baffa, Emem Iwara and 14 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
1.0field-weighted citation impact, top 23% 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, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

24 authors at 4 institutions in 2 countries.

Ibrahim JahunCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.ORCID 0000-0003-4190-1289
Akipu EhocheMaryland Global Initiatives, Abuja, Federal Capital Territory, Nigeria.
Moyosola BamideleCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Aminu YakubuCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Megan BronsonCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health Atlanta, GA, United States of America.
Ibrahim DalhatuCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Stacie GrebyCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Chinedu AgbakwuruMaryland Global Initiatives, Abuja, Federal Capital Territory, Nigeria.
Ibrahim BaffaMaryland Global Initiatives, Abuja, Federal Capital Territory, Nigeria.
Emem IwaraMaryland Global Initiatives, Abuja, Federal Capital Territory, Nigeria.
Matthias AlagiCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Olugbenga AsaoluCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Ahmed MukhtarCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Akudo IkpeazuFederal Ministry of Health, Abuja, Federal Capital Territory, Nigeria.
Charles NzeluFederal Ministry of Health, Abuja, Federal Capital Territory, Nigeria.
Jelpe TapdiyelCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Orji BasseyCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.
Alash'le AbimikuMaryland Global Initiatives, Abuja, Federal Capital Territory, Nigeria.
Hetal PatelCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health Atlanta, GA, United States of America.
Bharat ParekhCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health Atlanta, GA, United States of America.
Sani AliyuNational Agency for the Control of AIDS, Abuja, Federal Capital Territory, Nigeria.
Gambo AliyuMaryland Global Initiatives, Abuja, Federal Capital Territory, Nigeria.
Manhattan CharuratMaryland Global Initiatives, Abuja, Federal Capital Territory, Nigeria.
Mahesh SwaminathanCenters for Disease Control and Prevention, Division of Global HIV and TB, Center for Global Health-Nigeria, Abuja, Federal Capital Territory, Nigeria.ORCID 0000-0001-5827-3245
Nigeria Centre for Disease Control · NGCenters for Disease Control and Prevention · USFederal Ministry of Health · NGNational Agency for the Control of AIDS · NG

Funding

PEPFAR
6 · The paper itself

Abstract

backgroundData on awareness of HIV status among people living with HIV (PLHIV) are critical to estimating progress toward epidemic control. To ascertain the accuracy of self-reported HIV status and antiretroviral drug (ARV) use in the Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS), we compared self-reported HIV status with HIV rapid diagnostic test (RDT) results and self-reported ARV use with detectable blood ARV levels.

methodsOn the basis of responses and test results, participants were categorized by HIV status and ARV use. Self-reported HIV status and ARV use performance characteristics were determined by estimating sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Proportions and other analyses were weighted to account for complex survey design.

resultsDuring NAIIS, 186,405 participants consented for interview out of which 58,646 reported knowing their HIV status. Of the 959 (weighted, 1.5%) who self-reported being HIV-positive, 849 (92.1%) tested HIV positive and 64 (7.9%) tested HIV negative via RDT and polymerase chain reaction test for discordant positive results. Of the 849 who tested HIV positive, 743 (89.8%) reported using ARV and 72 (10.2%) reported not using ARV. Of 57,687 who self-reported being HIV negative, 686 (1.2%) tested HIV positive via RDT, with ARV biomarkers detected among 195 (25.1%). ARV was detected among 94.5% of those who self-reported using ARV and among 42.0% of those who self-reported not using ARV. Overall, self-reported HIV status had sensitivity of 52.7% (95% confidence interval [CI]: 49.4%-56.0%) with specificity of 99.9% (95% CI: 99.8%-99.9%). Self-reported ARV use had sensitivity of 95.2% (95% CI: 93.6%-96.7%) and specificity of 54.5% (95% CI: 48.8%-70.7%).

conclusionsSelf-reported HIV status and ARV use screening tests were found to be low-validity measures during NAIIS. Laboratory tests to confirm self-reported information may be necessary to determine accurate HIV and clinical status for HIV studies in Nigeria.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsAnti-Retroviral AgentsHumansNigeriaSelf ReportAnti-Retroviral Agents

Identifiers

PMID36037201
PMCPMC9423665
OpenAlexW4293493027

What OpenQuestion holds

Textmetadata
LicenceCC0
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.