Evidence map›Paper›PMID 24643047›Full record

ArticlePloS one2014

Heterogeneous HIV testing preferences in an urban setting in Tanzania: results from a discrete choice experiment.

Jan Ostermann, Bernard Njau, Derek S Brown, Axel Mühlbacher, Nathan Thielman

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02714140 (Does Preference-based HIV Testing Increase Uptake in High Risk Populations?), which is not on this map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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.

NCT02714140 nacompletednot on this mapstarted 2018, after this paper: background citation

Does Preference-based HIV Testing Increase Uptake in High Risk Populations?

TypeinterventionalSponsorUniversity of South CarolinaRan2018 to 2020Enrolled1,194ConditionsHIV TestingArmsPB-HCT +, PB-HCT -, Economic incentive, PB-HCT ++, SMS Reminder
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Preferences for oral-World journal of methodology · 2023
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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

5 authors.

Jan OstermannDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America; Center for Health Policy and Inequalities Research, Duke University, Durham, North Carolina, United States of America.
Bernard NjauCommunity Health Department, Kilimanjaro Christian Medical College, Moshi, Tanzania.
Derek S BrownCenter for Health Policy and Inequalities Research, Duke University, Durham, North Carolina, United States of America; Brown School, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Axel MühlbacherCenter for Health Policy and Inequalities Research, Duke University, Durham, North Carolina, United States of America; Stiftungsinstitut Gesundheitsökonomie und Medizinmanagement, Hochschule Neubrandenburg, Neubrandenburg, Germany.
Nathan ThielmanDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America; School of Medicine, Duke University, Durham, North Carolina, United States of America.

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI Nwora Lance Okeke · 2005 to 2026
$50.5M
Using Discrete Choice Experiments to Identify HIV Testing Preferences in TanzaniaR21MH096631 · NIMH · DUKE UNIVERSITY · PI OSTERMANN, JAN, THIELMAN, NATHAN M · 2012 to 2013
$387k
NIAID NIH HHS 5P30 AI064518NIAID NIH HHS P30 AI064518NIMH NIH HHS R21 MH096631
6 · The paper itself

Abstract

backgroundEfforts to reduce Human Immunodeficiency Virus (HIV) transmission through treatment rely on HIV testing programs that are acceptable to broad populations. Yet, testing preferences among diverse at-risk populations in Sub-Saharan Africa are poorly understood. We fielded a population-based discrete choice experiment (DCE) to evaluate factors that influence HIV-testing preferences in a low-resource setting.

methodsUsing formative work, a pilot study, and pretesting, we developed a DCE survey with five attributes: distance to testing, confidentiality, testing days (weekday vs. weekend), method for obtaining the sample for testing (blood from finger or arm, oral swab), and availability of HIV medications at the testing site. Cluster-randomization and Expanded Programme on Immunization (EPI) sampling methodology were used to enroll 486 community members, ages 18-49, in an urban setting in Northern Tanzania. Interviewer-assisted DCEs, presented to participants on iPads, were administered between September 2012 and February 2013.

resultsNearly three of five males (58%) and 85% of females had previously tested for HIV; 20% of males and 37% of females had tested within the past year. In gender-specific mixed logit analyses, distance to testing was the most important attribute to respondents, followed by confidentiality and the method for obtaining the sample for the HIV test. Both unconditional assessments of preferences for each attribute and mixed logit analyses of DCE choice patterns suggest significant preference heterogeneity among participants. Preferences differed between males and females, between those who had previously tested for HIV and those who had never tested, and between those who tested in the past year and those who tested more than a year ago.

conclusionThe findings suggest potentially significant benefits from tailoring HIV testing interventions to match the preferences of specific populations, including males and females and those who have never tested for HIV.

Indexed as

AdolescentAdultAnonymous TestingChoice BehaviorData CollectionFemaleHIV InfectionsHumansMaleMass ScreeningMiddle AgedPatient Acceptance of Health CarePilot ProjectsPrivacyTanzaniaUrban Population

Identifiers

PMID24643047
PMCPMC3958474

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.