Evidence map›Paper›PMID 37580575›Full record

ArticleAIDS and behavior2024

Psychological and Behavioural Within-participant Predictors of Adherence to Oral HIV Pre-Exposure Prophylaxis (PrEP).

Alison Taylor, Rosalie Hayes, Nneka Nwokolo, Gary Whitlock, Olamide Dosekun, Sheena McCormack, Mitzy Gafos, Michael Evangeli

Abstract read
In one paragraph

Article in AIDS and behavior, 2024. 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. Review
  2. Article
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

8 authors.

Alison TaylorDepartment of Psychology, Royal Holloway University of London, London, UK.
Rosalie HayesWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Nneka NwokoloChelsea and Westminster Hospital, London, UK.
Gary WhitlockChelsea and Westminster Hospital, London, UK.
Olamide DosekunImperial College Healthcare NHS Trust, London, UK.
Sheena McCormackMedical Research Council Clinical Trials Unit, University College London, London, UK.
Mitzy GafosDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK.
Michael EvangeliDepartment of Psychology, Royal Holloway University of London, London, UK. michael.evangeli@rhul.ac.uk.ORCID http://orcid.org/0000-0002-9783-2625

Funding

Medical Research Council MC_UU_00004/03
6 · The paper itself

Abstract

Oral PrEP's effectiveness relies on adequate adherence during periods of substantial HIV risk. Since most PrEP users will miss doses, understanding predictors within participants can help to explain adherence. We used a cross-sectional, within-participant design with 67 gay, bisexual, and other men who have sex with men taking PrEP daily. Using a questionnaire, informed by the Information Motivation Behavioral Skills Model, participants were asked about an adherent and a non-adherent episode. PrEP non-adherence was associated with non-normality of the day (p < .001), being out of the home (p < .001), weekend days (p = .01), having company (p = .02), using substances (p = 0.02), not using reminders (p = .03), lower PrEP information (p = .04), lower behavioural skills (p < .001) and less positive affect (p = .002). PrEP adherence assessment could focus on situational variations, supporting the construction of alternative strategies to facilitate adherence in these situations.

Indexed as

HIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesCross-Sectional StudiesHomosexuality, MaleHumansMaleMedication AdherenceadherenceIMB modelPre-exposure Prophylaxis (PrEP)within-participant design

Identifiers

PMID37580575
PMCPMC10803569

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Registered trials

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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.