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Record W4405550643 · doi:10.1186/s13722-024-00520-3

Centering autonomy and choice to support oral PrEP utilization among people who inject drugs: qualitative lessons from HPTN 094 INTEGRA

2024· article· en· W4405550643 on OpenAlexafffund
Amaya Perez‐Brumer, Rose A. Schmidt, Rebecca Kennedy, Jordan E. Lake, Yolanda R. Villarreal, Irene Kuo, Omar Nieto, Julie Franks, Cécile Denis, Nabila El–Bassel, Steven Shoptaw, Peter J. Davidson, Laramie R. Smith

Bibliographic record

VenueAddiction Science & Clinical Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsCentre for Addiction and Mental HealthPublic Health OntarioUniversity of Toronto
FundersNational Institute on Drug AbuseNational Institute of Mental HealthNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health ResearchFoundation for the National Institutes of Health
KeywordsPre-exposure prophylaxisHealth psychologyThematic analysisQualitative researchMedicinePopulationFamily medicineHuman immunodeficiency virus (HIV)Psychological interventionPsychologyMen who have sex with menPublic healthEnvironmental healthNursingSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Oral Pre-exposure prophylaxis (PrEP) is effective in preventing HIV transmission. However, despite high rates of HIV risk behaviors among people who inject drugs (PWID), this population remains underserved by current HIV prevention efforts in the United States. To address this challenge, we conducted an in-depth exploration of perspectives on using oral PrEP among PWID engaged in the HIV Prevention Trials Network (HPTN) 094 INTEGRA Study. METHODS: Guided by the Practical, Robust, Implementation, and Sustainability Model (PRISM), our qualitative study drew on semi-structured interviews conducted as part of the embedded implementation science evaluation of HPTN 094 INTEGRA. Seventy-seven PWID participants from five sites across New York City, Houston, Los Angeles, Philadelphia, and Washington DC were interviewed to assess intervention delivery, care access, and engagement sustainability. Audio files were transcribed verbatim and analyzed via an inductive and deductive thematic approach. RESULTS: Most participants (n = 46, 59.7%) discussed oral PrEP during their interview, though not directly prompted. Participants discussing PrEP had a mean age of 41.6 years and were predominantly white (54.3%) and cisgender men (60.9%). Among these, 15 participants described using PrEP. All participants had facilitated access to oral PrEP. Yet, the choice to use PrEP was influenced by personal risk perceptions, (mis)information about PrEP, and external factors (i.e. housing, financial security), which, for some, limited the autonomy to use PrEP. Two key themes emerged among participants using PrEP: ease of access and perceptions of high HIV risk. Those not using PrEP described two themes: low risk perception and prioritizing more urgent needs. Among participants not using PrEP a subgroup commonly described ambivalent interest, PrEP knowledge gaps, and PrEP readiness (i.e., contemplation). CONCLUSIONS: Qualitative findings highlight that facilitated PrEP access was insufficient to motivate use for many participants. Rather, PrEP decision-making process (i.e., choice) was linked to risk perception and individuals' capability to leverage PrEP as a resource based on their circumstances (i.e., autonomy). Participants' descriptions of the centrality of choice and autonomy for PrEP use underscore that ease of access is a necessary pre-condition, but person-centered interventions should also address housing, financial stability, and urgent medical conditions to promote PrEP utilization among PWID. CLINICAL TRIAL REGISTRATION: NCT04804027.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.013
Scholarly communication0.0040.005
Open science0.0030.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.215
GPT teacher head0.558
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes2
Has abstractyes

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