Evidence map›Paper›PMID 36684866›Full record

ArticleFrontiers in public health2022

Evaluating effect modification by HIV testing history to understand the mechanisms behind the impact of announcing HIV self-testing availability in a clinic system in Kenya.

Elizabeth A Kelvin, Matthew L Romo, Gavin George, Joanne E Mantell, Eva Mwai, Samuel Kinyanjui, Eston N Nyaga, Jacob O Odhiambo, Kaymarlin Govender

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 3 institutions in 3 countries.

Elizabeth A KelvinDepartment of Epidemiology and Biostatistics, CUNY Graduate School of Public Health and Health Policy, City University of New York, New York, NY, United States.
Matthew L RomoDepartment of Epidemiology and Biostatistics, CUNY Graduate School of Public Health and Health Policy, City University of New York, New York, NY, United States.
Gavin GeorgeHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.
Joanne E MantellHIV Center for Clinical and Behavioral Studies, Gender, Sexuality and Health Area, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States.
Eva MwaiNorth Star Alliance, Nairobi, Kenya.
Samuel KinyanjuiNorth Star Alliance, Nairobi, Kenya.
Eston N NyagaNorth Star Alliance, Nairobi, Kenya.
Jacob O OdhiamboNorth Star Alliance, Nairobi, Kenya.
Kaymarlin GovenderHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.
City University of New York · USUniversity of KwaZulu-Natal · ZAColumbia University · US

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Claude Ann Mellins · 2003 to 2026
$48.2M
Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Kathryn M. Anastos · 2017 to 2026
$28.3M
NIAID NIH HHS P30 AI124414NIMH NIH HHS P30 MH043520
6 · The paper itself

Abstract

Background: In sub-Saharan Africa, truckers and female sex workers (FSWs) have high HIV risk and face challenges accessing HIV testing. Adding HIV self-testing (HIVST) to standard of care (SOC) programs increases testing rates. However, the underlying mechanisms are not fully understood. HIVST may decrease barriers (inconvenient clinic hours, confidentiality concerns) and thus we would expect a greater impact among those not accessing SOC testing (barriers prevented previous testing). As a new biomedical technology, HIVST may also be a cue to action (the novelty of a new product motivates people to try it), in which case we might expect the impact to be similar by testing history. Methods: We used data from two randomized controlled trials evaluating the announcement of HIVST availability Results: We found no evidence that 12m-tested modified the HIVST impact. Among truckers, those in the intervention were 3.1 times more likely to test than the SOC ( Conclusion: The impact of HIVST was not significantly modified by 12m-tested among truckers and FSWs on the multiplicative or additive scales. Announcing the availability of HIVST likely served primarily as a cue to action and testing clinics might maximize the HIVST benefits by holding periodic HIVST events to maintain the cue to action impact rather than making HIVST continually available.

Indexed as

HIV InfectionsSex WorkersFemaleHIVHIV TestingHumansKenyaMaleSelf-TestingHIVHIV self-testHIV testingimplementation scienceKenyarandomized controlled trialsex workerstruck drivers

Identifiers

PMID36684866
PMCPMC9853377
OpenAlexW4313644663

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.