Evidence map›Paper›PMID 30400898›Full record

Trial reportBMC public health2018

Stated and revealed preferences for HIV testing: can oral self-testing help to increase uptake amongst truck drivers in Kenya?

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

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 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

9 authors at 3 institutions in 2 countries.

Michael StraussHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, 4th Floor J-Block, University of KwaZulu-Natal Westville Campus, University Drive, Durban, 4041, South Africa. straussm@ukzn.ac.za.ORCID http://orcid.org/0000-0001-7849-8812
Gavin GeorgeHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, 4th Floor J-Block, University of KwaZulu-Natal Westville Campus, University Drive, Durban, 4041, South Africa.
Joanne E MantellDivision of Gender, Sexuality and Health, Department of Psychiatry, HIV Center for Clinical and Behavioral Studies, New York State Psychiatric Institute & Columbia University, 1051 Riverside Drive, New York, NY, 10032, USA.
Matthew L RomoDepartment of Epidemiology and Biostatistics, CUNY Graduate School of Public Health and Health Policy and Institute for Implementation Science in Population Health, City University of New York, 55 West 125th Street, New York, NY, 10027, USA.
Eva MwaiNorth Star Alliance, PO Box 165, Nairobi, 00202, Kenya.
Eston N NyagaNorth Star Alliance, PO Box 165, Nairobi, 00202, Kenya.
Jacob O OdhiamboNorth Star Alliance, PO Box 165, Nairobi, 00202, Kenya.
Kaymarlin GovenderHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, 4th Floor J-Block, University of KwaZulu-Natal Westville Campus, University Drive, Durban, 4041, South Africa.
Elizabeth A KelvinDepartment of Epidemiology and Biostatistics, CUNY Graduate School of Public Health and Health Policy and Institute for Implementation Science in Population Health, City University of New York, 55 West 125th Street, New York, NY, 10027, USA.
University of KwaZulu-Natal · ZAThe Graduate Center, CUNY · USNew York Psychoanalytic Society and Institute · 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

backgroundLong-distance truck drivers in Africa are particularly at risk of HIV acquisition and offering self-testing could help increase testing coverage in this hard-to-reach population. The aims of this study are twofold: (1) to examine the preference structures of truck drivers in Kenya regarding HIV testing service delivery models and what they mean for the roll-out of HIV self-testing, and (2) to compare the preference data collected from a hypothetical discrete choice experiment with the actual choices made by participants in the intervention arm of a randomised controlled trial (RCT) who were offered HIV testing choices.

methodsUsing data from 150 truck drivers, this paper examines whether the stated preferences regarding HIV testing in a discrete choice experiment predict the actual test selected when offered HIV testing choices. Conditional logit models were used for main effects analysis and stratified models were run by HIV testing choices made in the trial to assess if the attributes preferred differed by test chosen.

resultsThe strongest driver of stated preference among all participants was cost. However, two preferences diverged between those who actually chose self-testing in the RCT and those who chose a provider administered test: the type of test (p < 0.001) and the type of counselling (p = 0.003). Self-testers preferred oral-testing to finger-prick testing (OR 1.26 p = 0.005), while non-self-testers preferred finger-prick testing (OR 0.56 p < 0.001). Non-self-testers preferred in-person counselling to telephonic counselling (OR 0.64 p < 0.001), while self-testers were indifferent to type of counselling. Preferences in both groups regarding who administered the test were not significant.

conclusionsWe found stated preference structures helped explain the actual choices participants made regarding the type of HIV testing they accepted. Offering oral testing may be an effective strategy for increasing willingness to test among certain groups of truck drivers. However, the importance of in-person counselling and support, and concern that an oral test cannot detect HIV infection may mean that continuing to offer finger-prick testing at roadside wellness centres will best align with the preferences of those already attending these facilities. More research is needed to explore whether who administers the HIV test (provider versus self) makes any difference.

trial registrationThis trial is registered with the Registry for International Development Impact Evaluations ( RIDE ID#55847d64a454f ).

Indexed as

Choice BehaviorAdultAutomobile DrivingHIV InfectionsHumansKenyaMaleMass ScreeningMotor VehiclesMouthSelf CareDiscrete choice experimentHIVHIV testingKenyaTruck drivers

Identifiers

PMID30400898
PMCPMC6219162
OpenAlexW2899930183

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.