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Record W2845545950 · doi:10.1177/1527154418784237

An Exploratory Study of a Nurse-Led HIV Postexposure Prophylaxis Program

2018· article· en· W2845545950 on OpenAlexafffundabout
Patrick O’Byrne, Jean Daniel Jacob, Lauren Orser

Bibliographic record

VenuePolicy Politics & Nursing Practice · 2018
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsOttawa Public HealthUniversity of Ottawa
FundersOntario HIV Treatment Network
KeywordsThematic analysisHuman immunodeficiency virus (HIV)Post-exposure prophylaxisMedicineQualitative researchNursingFamily medicinePsychology

Abstract

fetched live from OpenAlex

The provision of HIV medications to HIV-negative persons after exposure to HIV is known as postexposure prophylaxis (PEP). Because this prevention strategy is primarily only available in emergency rooms, we piloted a nurse-led community-based PEP program in Ottawa from September 2013 through August 2015. As part of evaluating this program, we conducted qualitative interviews with persons who initiated PEP. Twelve men who had engaged in condomless anal sex with other males participated. Thematic analysis of the interview transcripts highlighted that PEP was considered unmentionable because the participants' saw it as proof of past behavior that was perceived negatively. Our results thus revealed that PEP was stigmatized, which made our participants reluctant to answer health care professionals' "questions" about why they needed PEP. To do so was to be exposed to stigma. The use of PEP for our participants was a balance between wanting to minimize the risks of HIV acquisition against the risks of disclosing the unmentionable. We take these findings to mean that clinicians and health service policy workers should move PEP into community clinics (decentralizing it from hospitals, and increase the involvement of nurses); aim to provide all required PEP services in community settings (consolidate PEP provision in these clinics); and ensure PEP services are streamlined to remove extraneous data collection (meaning history and exam tools should be standardized to minimize needless questions that may impede PEP access). Together, these recommendations may increase patients' access to PEP, and maximize its HIV prevention effects.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.453
Teacher spread0.413 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations0
Published2018
Admission routes3
Has abstractyes

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