Evidence map›Paper›PMID 33009011›Full record

ArticleAIDS (London, England)2020

A taxonomy of pragmatic measures of HIV preexposure prophylaxis use.

Maria Pyra, Laura Rusie, Michael Castro, Kristin Keglovitz Baker, Moira McNulty, Nick Bohm, Andrei Prokurat, John Schneider

Abstract read
In one paragraph

Article in AIDS (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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.

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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
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  6. Authors' response: Addressing the blind spot of self-reported adherence in the era of long-acting PrEP.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  7. Article
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  10. PrEP Persistence Support and Monitoring in Areas of High HIV Burden in the Midwestern United States.AIDS education and prevention : official publication of the International Society for AIDS Education · 2023
    Article
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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

8 authors.

Maria PyraHoward Brown Health.
Laura RusieHoward Brown Health.
Michael CastroHoward Brown Health.
Kristin Keglovitz BakerHoward Brown Health.
Moira McNultyChicago Center for HIV Elimination, University of Chicago, Chicago, Illinois, USA.
Nick BohmHoward Brown Health.
Andrei ProkuratHoward Brown Health.
John SchneiderHoward Brown Health.

Funding

Virology and Immunology Technology CoreP30AI117943 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Michael E Newcomb · 2015 to 2026
$38.4M
Accelerating PrEP Diffusion through Network Change AgentsR01AI120700 · NIAID · UNIVERSITY OF CHICAGO · PI SCHNEIDER, JOHN · 2015 to 2019
$2.2M
Implementation Science to Strengthen the Integrated Care Continuum in Getting to Zero ContextsK23MH118969 · NIMH · UNIVERSITY OF CHICAGO · PI MCNULTY, MOIRA · 2019 to 2022
$682k
NIAID NIH HHS P30 AI117943NIAID NIH HHS R01 AI120700NIMH NIH HHS K23 MH118969
6 · The paper itself

Abstract

objectivesAs delivery of preexposure prophylaxis (PrEP) becomes an HIV prevention priority in the United States, standard, pragmatic measures of PrEP use are needed to compare and evaluate prevention implementation programs. By using readily available electronic health record data, we describe and compare measures of persistence and retention.

designRetrospective cohort.

methodsUsing electronic health record prescription data for patients at a large urban Federally Qualified Health Center from 2015 to 2019, we calculated measures of persistence and retention and compared them to pharmacy claims data, PrEP biomarkers, and HIV outcomes.

resultsTotal PrEP time was 19.8 months on average. During this period, average adherence by medication prescription ratio (MRxR) was 89%; 77% of patients had an MRxR at least 85% and 90% have an MRxR at least 57%. Over the first 6 months, average proportion of days covered (PDC) at least 85% was 53% and PDC at least 57% was 57%. Prescription fill rates, based on claims data from a pharmacy partner, ranged from 45 to 60%. Using tenofovir-diphosphate as the gold standard, PDC had high sensitivity (97%) but low specificity (≤13%). As a measure of retention, over the first 6 months, 59% of patients had quarterly HIV tests.

conclusionTotal PrEP time is useful measure of overall persistence, while PDC can assess persistence and adherence at a specific time point. Adherence by PDC is more conservative compared with MRxR; both will overestimate true adherence. Retention in care can be measured by quarterly HIV tests. Using consistent terminology and reporting timepoints and adherence thresholds will help reporting and comparing PrEP delivery programs.

Indexed as

Drug MonitoringPre-Exposure ProphylaxisAnti-HIV AgentsDrug PrescriptionsElectronic Health RecordsHIV InfectionsHumansMaleRetrospective StudiesUnited StatesAnti-HIV Agents

Identifiers

PMID33009011
PMCPMC7856306

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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.