Evidence map›Paper›PMID 37725628›Full record

ArticlePloS one2023

EquiPrEP: An implementation science protocol for promoting equitable access and uptake of long-acting injectable HIV pre-exposure prophylaxis (LAI-PrEP).

Christina M Kaul, Brandi E Moore, Emma Kaplan-Lewis, Eunice Casey, Robert A Pitts, Patricia Pagan Pirallo, Sahnah Lim, Farzana Kapadia, Gabriel M Cohen, Maria Khan and 1 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Fostering citizen-engaged HIV implementation science.Journal of the International AIDS Society · 2024
    Article
  6. 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

11 authors.

Christina M KaulOffice of Ambulatory Care and Population Health, HIV Services, NYC Health + Hospitals, New York, New York, United States of America.ORCID 0000-0002-1310-8737
Brandi E MooreDepartment of Epidemiology, New York University School of Global Public Health, New York, New York, United States of America.ORCID 0000-0001-8613-4170
Emma Kaplan-LewisOffice of Ambulatory Care and Population Health, HIV Services, NYC Health + Hospitals, New York, New York, United States of America.
Eunice CaseyOffice of Ambulatory Care and Population Health, HIV Services, NYC Health + Hospitals, New York, New York, United States of America.
Robert A PittsDivision of Infectious Diseases and Immunology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, United States of America.
Patricia Pagan PiralloDivision of Infectious Diseases and Immunology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, United States of America.
Sahnah LimDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
Farzana KapadiaDepartment of Epidemiology, New York University School of Global Public Health, New York, New York, United States of America.
Gabriel M CohenOffice of Ambulatory Care and Population Health, HIV Services, NYC Health + Hospitals, New York, New York, United States of America.ORCID 0000-0002-8653-4518
Maria KhanDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
Ofole MgbakoDivision of Infectious Diseases and Immunology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, United States of America.ORCID 0000-0002-8955-4303

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
NCATS NIH HHS UL1 TR001445
6 · The paper itself

Abstract

backgroundLong-acting injectable HIV pre-exposure prophylaxis (LAI-PrEP) was approved by the U.S. Food and Drug Administration in December 2021. This initial phase of implementation represents a prime opportunity to ensure equitable LAI-PrEP provision to communities often underrepresented in PrEP care before disparities in access and uptake emerge. Herein, we describe the EquiPrEP Project which utilizes an equity-oriented implementation science framework to optimize LAI-PrEP rollout in an urban safety-net clinic in New York City.

methodsThe primary objectives of this project are to: (1) increase LAI-PrEP initiation overall; (2) increase uptake among groups disproportionately impacted by the HIV epidemic; (3) preserve high PrEP retention while expanding use; and (4) identify barriers and facilitators to LAI-PrEP use. EquiPrEP will enroll 210 PrEP-eligible participants into LAI-PrEP care with planned follow-up for one year. We will recruit from the following priority populations: Black and/or Latine men who have sex with men, Black and/or Latine cisgender women, and transgender women and nonbinary individuals. To evaluate implementation of LAI-PrEP, we will utilize equity-focused iterations of the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework and the Consolidated Framework for Implementation Research (CFIR), in addition to longitudinal surveys and qualitative interviews. DISCUSSION: Novel LAI-PrEP formulations carry tremendous potential to revolutionize the field of HIV prevention. Implementation strategies rooted in equity are needed to ensure that marginalized populations have access to LAI-PrEP and to address the structural factors that hinder initiation and retention in care.

Indexed as

HIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesFemaleHIVHomosexuality, MaleHumansImplementation ScienceMaleUnited States

Identifiers

PMID37725628
PMCPMC10508596

What OpenQuestion holds

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LicenceCC BY
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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.