Evidence map›Paper›PMID 31333454›Full record

ArticleFrontiers in pharmacology2019

Comparing Self-Report Pre-Exposure Prophylaxis Adherence Questions to Pharmacologic Measures of Recent and Cumulative Pre-Exposure Prophylaxis Exposure.

Jill Blumenthal, Elizabeth C Pasipanodya, Sonia Jain, Shelly Sun, Eric Ellorin, Sheldon Morris, David J Moore

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06005298 (Alcohol Misuse, Gut Microbial Dysbiosis and PrEP Care Continuum), which is not on this map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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.

NCT06005298 narecruitingnot on this mapstarted 2023, after this paper: background citation

Alcohol Misuse, Gut Microbial Dysbiosis and PrEP Care Continuum: Application and Efficacy of SBIRT Intervention (SEAL)

TypeinterventionalSponsorShirish S BarveRan2023 to 2027Enrolled120ConditionsAlcohol Use Disorder, Risk Behavior, Health, Dysbiosis, HIV InfectionsArmsScreening, Brief Intervention, Referral to Treatment (SBIRT)
3 · Its place in the literature

Who cites it

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

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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

7 authors.

Jill BlumenthalDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.
Elizabeth C PasipanodyaDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States.
Sonia JainFamily Medicine and Public Health, University of California San Diego, La Jolla, CA, United States.
Shelly SunFamily Medicine and Public Health, University of California San Diego, La Jolla, CA, United States.
Eric EllorinDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.
Sheldon MorrisDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.
David J MooreDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States.

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
NIAID NIH HHS P30 AI036214
6 · The paper itself

Abstract

As pre-exposure prophylaxis (PrEP) effectiveness is strongly linked to adherence, we sought to determine if certain self-report measures could be used to inform objective PrEP adherence. We studied participants from the TAPIR study (a multicenter randomized study of daily text messages to support adherence to PrEP In At-Risk), a 48-week randomized controlled trial of HIV-uninfected men who have sex with men (MSM) randomized to receive text message to support adherence versus standard of care. Self-reported medication adherence was assessed using several validated measures modified for PrEP. Objective PrEP adherence was determined through dried blood spot (DBS) measurement of intracellular tenofovir diphosphate (TFV-DP) and emtricitabine triphosphate (FTC-TP). A summary of adherence was estimated using responses to the seven adherence items at weeks 12 and 48 using confirmatory factor analysis. Correlations between self-report questions and drug concentrations were estimated with Pearson's correlations for continuous outcomes and point-biserial correlations for dichotomous outcomes. Receiver operating characteristic (ROC) analyses were conducted to assess the performance of self-report measures in predicting protective or perfect TFV-DP concentrations. Of the 369 participants who completed week 12 or 48 visits, the mean age was 35 (standard deviation 9 years), with 79% White, 12% Black, and 29% Hispanic. Correlations between self-report measures of adherence (both individual items and the adherence factor) and quantifiable FTC-TP and continuous TFV-DP concentrations showed that all self-report measures were significantly associated with these objective measures. Compared to a summary measure of self-reported adherence, the 4-week percent taken question medication recall was the only self-report item similarly or more strongly associated with recent adherence and long-term protective and perfect adherence at weeks 12 and 48. ROC analysis also showed that 4-week percent taken question had a reasonable AUC (0.798 at week 12 and 0.758 at week 48) in predicting protective TFV-DP concentrations. All single-item self-report questions assessing PrEP adherence were significantly associated with biomarker quantification, with the 4-week percent taken question performing best. Therefore, in the absence of drug concentration measurements, a 4-week self-report percent taken question may be a good single-item measure of PrEP adherence.

Indexed as

adherencemen who have sex with men (MSM)pharmacologic measurespre-exposure (PrEP) prophylaxisself-report

Identifiers

PMID31333454
PMCPMC6624646

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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.