Evidence map›Paper›PMID 39730382›Full record

ArticleScientific reports2024

Evaluating the effectiveness of oral HIV self testing according to distribution models in Cameroon.

Yagai Bouba, Audrey Raissa Dzaddi Djomo, Fatima Nkain Mouliom, Adamou Souleymanou, Ebiama Lifanda, Yakouba Liman, Roger Onana, Annie Michele Salla, Lily Claire Ekobika, Gutenberg Tchikangni and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  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

19 authors.

Yagai BoubaUniCamillus - Saint Camillus International University of Health Sciences, Rome, Italy. romeobouba@yahoo.fr.
Audrey Raissa Dzaddi DjomoCentral Technical Group, National AIDS Control Committee, Ministry of Public Health, Yaoundé, Cameroon.
Fatima Nkain MouliomDivision of Health Operational Research, Ministry of Public Health, Yaoundé, Cameroon.
Adamou SouleymanouUniversity of Yaoundé 1, Yaoundé, Cameroon.
Ebiama LifandaCentral Technical Group, National AIDS Control Committee, Ministry of Public Health, Yaoundé, Cameroon.
Yakouba LimanCentral Technical Group, National AIDS Control Committee, Ministry of Public Health, Yaoundé, Cameroon.
Roger OnanaCentral Technical Group, National AIDS Control Committee, Ministry of Public Health, Yaoundé, Cameroon.
Annie Michele SallaAssociation Camerounaise pour le Marketing Social (ACMS), Yaoundé, Cameroon.
Lily Claire EkobikaAssociation Camerounaise pour le Marketing Social (ACMS), Yaoundé, Cameroon.
Gutenberg TchikangniAssociation Camerounaise pour le Marketing Social (ACMS), Yaoundé, Cameroon.
Edwige Guissana OmonaUniversity of Yaoundé 1, Yaoundé, Cameroon.
Ingrid Kenko Abo'o MyrthoUniversity of Yaoundé 1, Yaoundé, Cameroon.
Ernest Désiré Anaba MvilongoCentral Technical Group, National AIDS Control Committee, Ministry of Public Health, Yaoundé, Cameroon.
Antoine SocpaUniversity of Yaoundé 1, Yaoundé, Cameroon.
Rogers Awoh AjehCentral Technical Group, National AIDS Control Committee, Ministry of Public Health, Yaoundé, Cameroon.
Marie Jose EssiUniversity of Yaoundé 1, Yaoundé, Cameroon.
Serge Clotaire BillongUniversity of Yaoundé 1, Yaoundé, Cameroon.
Hadja Cherif HamsatouCentral Technical Group, National AIDS Control Committee, Ministry of Public Health, Yaoundé, Cameroon.
Anne Cecile Zoung-Kanyi BissekDivision of Health Operational Research, Ministry of Public Health, Yaoundé, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovative strategies such as HIV self-testing (HIVST) are useful for identifying hard-to-reach people living with HIV/AIDS (PLHIV), especially in developing settings where considerable gaps still exist in reaching the first 95% UNAIDS target. We evaluated the effectiveness of HIVST in Cameroon using several distribution models and investigated the predictors of HIV seropositivity among self-testers. The study was conducted from 2021 to 2022 in three regions in Cameroon. HIVST kits were distributed according to 5 distribution models: antenatal, postnatal, maternal and child clinics (ANC/PNC/MCH); partners of PLHIV; workplace; community and HIV-testing services (HTS). Overall, 42,687 people received oral HIVST kits, among whom 15.6% were HIV first-testers. Approximately 85% reported on the test outcome; 2.3% (n = 825) were reactive, and 75.8% came for test confirmation. After the confirmation test, a concordance of 85% was found with the national algorithm. Overall, the HIV seroprevalence was 1.5% [95% CI: 1.4-1.6]; ANC/PNC/MCHC: 1.9%, partners of PLHIV: 6.9%, workplace: 0.5%, community: 0.1% and HTS: 7.0%, p < 0.001. The positivity rate among first-testers was 1.2%. Youths < 25 years had a lower seroprevalence (0.4%) than older people (2.6% and 2.7% for those aged 25-39 and those aged ≥ 40 years, respectively), p < 0.001. Seropositivity was negatively associated with secondary distribution, workplace model, community model and age < 25 years. On the other hand, partners of PLHIV model, HTS model, female sex and first-time-testers were positively associated with seropositivity. In Cameroon, oral HIVST is an effective approach for identifying undiagnosed PLHIV, especially when using ANC/PNC/MCHC, partners of PLHIV and HTS distribution models. However, to ensure the successful scale-up of HIVST in Cameroon, guidelines should be revised to fine-tune the target populations for HIVST and optimize the use of resources.

Indexed as

HIV InfectionsSelf-TestingAdolescentAdultCameroonChildFemaleHIV SeroprevalenceHIV TestingHumansMaleMass ScreeningMiddle AgedYoung AdultCameroonDistribution modelsEffectivenessLinkage to ARTOral HIV-self testingSeropositivity

Identifiers

PMID39730382
PMCPMC11681156

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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.