Evidence map›Paper›PMID 32767155›Full record

Observational studyAIDS and behavior2021

Biometric Registration to an HIV Research Study may Deter Participation.

Matthew P Abrams, Felix E Torres, Susan J Little

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in AIDS and behavior, 2021. 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. Trial
  2. Review
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

3 authors.

Matthew P AbramsCollege of Medicine, University of Central Florida, Orlando, FL, USA. mattpabrams@knights.ucf.edu.ORCID http://orcid.org/0000-0001-6059-4857
Felix E Torres, New York City, NY, USA.
Susan J LittleDivision of Infectious Diseases and Global Public Health, University of California, San Diego, CA, USA. slittle@health.ucsd.edu.

Funding

Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Efficacy of ART to Interrupt HIV Transmission NetworksR01MH100974 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2014 to 2018
$3.2M
NIAID NIH HHS R24 AI106039NIH HHS AI106039NIH HHS MH100974NIMH NIH HHS R01 MH100974
6 · The paper itself

Abstract

Biometric registration may improve services associated with HIV research. A cross-sectional, observational survey was used to evaluate biometric fingerprint scanning for identification (ID) verification in the setting of an HIV prevention study. Survey outcomes were dichotomized (discouraged or not discouraged) by biometric scanning and statistical analyses were used to determine if participation decreased by greater than 10% overall and after stratifying by demographic variables and risk behaviors. 206 participants were recruited from a community-based HIV and sexual health research screening program. Participants completed a quantitative survey to assess their perceptions of biometric scanning for ID verification. The majority of participants (n = 160; 77.7%) indicated no deterrence from testing due to biometric scanning, yet a significant number (n = 45; 23.3%, P < .001) reported at least partial deterrence. Research using biometric scanning for ID verification may significantly limit access to HIV prevention services and may risk reducing meaningful participation among marginalized populations.

Indexed as

HIV InfectionsBiometryCross-Sectional StudiesHomosexuality, MaleHumansMaleMass ScreeningRisk-TakingBarriersBiometricsHIV screeningMen who have sex with menRisk factors

Identifiers

PMID32767155
PMCPMC7867657

What OpenQuestion holds

Textmetadata
LicenceTDM
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.