Evidence map›Paper›PMID 25616562›Full record

ArticleAIDS care2015

One size does not fit all: HIV testing preferences differ among high-risk groups in Northern Tanzania.

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

Registry-linked trialAbstract read
In one paragraph

Article in AIDS care, 2015. 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 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Unraveling acceptance of healthcare innovations in neurorehabilitation: results from a discrete choice experiment.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  16. The Shinyanga Patient: A Patient's Journey through HIV Treatment Cascade in Rural Tanzania.International journal of environmental research and public health · 2021
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  20. Heterogeneous Patient Preferences for Modern Antiretroviral Therapy: Results of a Discrete Choice Experiment.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
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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

6 authors.

Jan Ostermanna Duke Global Health Institute, Duke University , Durham , NC , USA.
Bernard Njau
Tara Mtuy
Derek S Brown
Axel Mühlbacher
Nathan Thielman

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 P30 AI064518NIMH NIH HHS R21 MH096631
6 · The paper itself

Abstract

In order to maximize the effectiveness of "Seek, Test, and Treat" strategies for curbing the HIV epidemic, new approaches are needed to increase the uptake of HIV testing services, particularly among high-risk groups. Low HIV testing rates among such groups suggest that current testing services may not align well with the testing preferences of these populations. Female bar workers and male mountain porters have been identified as two important high-risk groups in the Kilimanjaro Region of Tanzania. We used conventional survey methods and a discrete choice experiment (DCE), a preference elicitation method increasingly applied by economists and policy-makers to inform health policy and services, to analyze trade-offs made by individuals and quantify preferences for HIV testing services. Bivariate descriptive statistics were used to analyze differences in survey responses across groups. Compared to 486 randomly selected community members, 162 female bar workers and 194 male Kilimanjaro porters reported 2-3 times as many lifetime sexual partners (p < 0.001), but similar numbers of lifetime HIV tests (median 1-2 across all groups). For the DCE, participants' stated choices across 12,978 hypothetical HIV testing scenarios (422 female and 299 male participants × 9 choice tasks × 2 alternatives) were analyzed using gender-specific mixed logit models. Direct assessments and the DCE data demonstrated that barworkers were less likely to prefer home testing and were more concerned about disclosure issues compared with their community counterparts. Male porters preferred testing in venues where antiretroviral therapy was readily available. Both high-risk groups were less averse to traveling longer distances to test compared to their community counterparts. These results expose systematic differences in HIV testing preferences across high-risk populations compared to their community peers. Tailoring testing options to the preferences of high-risk populations should be evaluated as a means of improving uptake of testing in these populations.

Indexed as

Patient PreferenceAdolescentAdultChoice BehaviorConfidentialityCounselingFemaleFocus GroupsHealth Services AccessibilityHIV InfectionsHumansMaleMass ScreeningMiddle AgedPatient Acceptance of Health CareQualitative Researchdiscrete choice experimentHIV diagnosisHIV testingpreferencesTanzania

Identifiers

PMID25616562
PMCPMC4336601

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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.