Evidence map›Paper›PMID 39413053›Full record

ArticlePloS one2024

Development of a pharmacy-based HIV PrEP service delivery intervention for Washington, District of Columbia (DC): A study protocol.

Waimar Tun, Mamaswatsi Kopeka, Donaldson F Conserve, Jennifer Gomez-Berrospi, Samuel Janson, Courtney Johnson, Adedotun Ogunbajo, Ngozi Joy Idika, Jenesis Duran, Arianna Lendino and 8 more

Abstract read
In one paragraph

Article in PloS one, 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. Article
  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

18 authors.

Waimar TunPopulation Council, Washington, DC, United States of America.
Mamaswatsi KopekaMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.ORCID https://orcid.org/0009-0008-7961-1141
Donaldson F ConserveMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Jennifer Gomez-BerrospiMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Samuel JansonMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Courtney JohnsonUs Helping US, People Into Living, Inc., Washington, DC, United States of America.
Adedotun OgunbajoUs Helping US, People Into Living, Inc., Washington, DC, United States of America.
Ngozi Joy IdikaMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Jenesis DuranMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Arianna LendinoMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Bezawit BekeleMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.ORCID https://orcid.org/0000-0002-2926-235X
Maya Rezende TsaoMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Sumaiya NezamMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.ORCID https://orcid.org/0000-0001-6259-5167
Arona DiengMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.ORCID https://orcid.org/0009-0007-4572-4124
Naana Koranteng-YorkeMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Bridget MartinMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
BRIDGE Team
Demarc HicksonUs Helping US, People Into Living, Inc., Washington, DC, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacy-based PrEP service delivery models can help address many of the barriers that inhibit the uptake of PrEP. In an increasing number of states, legislation has been passed, or is under consideration, to allow pharmacists to initiate PrEP without a prescription from a physician or other prescriber. However, there is not yet legislation in Washington, DC to allow pharmacy-based PrEP despite its potential to curb new cases of HIV, which disproportionately affect the Black community in the area. The DC Ends HIV Plan has a goal of less than 130 new cases of HIV per year by 2030, which would require that over 13,000 high-risk residents use PrEP. However, in 2021 only 6,724 Washingtonians were taking PrEP. This study seeks to address the absence of critical formative research into the factors that would influence the implementation of pharmacy-based PrEP in Washington DC using the Implementation Mapping (IM) framework. A needs assessment will be conducted through in-depth interviews (IDIs) with pharmacists (n = 6), PrEP providers (n = 6), current PrEP users (n = 6), DC Department of Health officials (n = 2), DC Board of Pharmacy officials (n = 4) and pharmacy-based PrEP experts (n = 4) to provide input on the operational aspects of pharmacy-based PrEP model as a strategy to increase PrEP uptake. Information gathered through this needs assessment will be used to develop standard operating procedures for the introduction of pilot pharmacy-based PrEP into community-based retail pharmacies.

Indexed as

Anti-HIV AgentsHIV InfectionsPre-Exposure ProphylaxisCommunity Pharmacy ServicesDistrict of ColumbiaFemaleHumansMalePharmaciesPharmacistsAnti-HIV Agents

Identifiers

PMID39413053
PMCPMC11482685

What OpenQuestion holds

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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.