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Record W2992591594 · doi:10.1108/ijph-09-2019-0053

PrEP in Prisons: HIV prevention in incarcerated populations

2019· article· en· W2992591594 on OpenAlexaff
Jordan A. Parsons, Chelsea Cox

Bibliographic record

VenueInternational Journal of Prisoner Health · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPrisonHarm reductionPsychological interventionHarmCriminologyPre-exposure prophylaxisContext (archaeology)Human immunodeficiency virus (HIV)Intervention (counseling)Men who have sex with menPopulationMedicinePsychologyPsychiatryFamily medicineSocial psychologyEnvironmental healthSyphilis

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this paper is to discuss the possibility of using pre-exposure prophylaxis (PrEP) as an HIV harm reduction intervention in prisons. PrEP is primarily discussed in relation to men who have sex with men (MSM), meaning other high-risk populations, such as prisoners, are often side-lined. The authors wanted to consider how it could prove beneficial beyond the MSM community. DESIGN/METHODOLOGY/APPROACH: First, the authors discuss whether the common objections to existing HIV harm reduction interventions in prisons, such as needle exchanges, are applicable to PrEP. The authors then apply common objections to the provision of PrEP in the general population to the provision of PrEP in a prison context in order to assess their strength. Finally, the authors discuss what the authors anticipate to be a key objection to PrEP in prisons: post-incarceration access. FINDINGS: The authors argue that both sets of common objections considered are easily refuted in the case of PrEP in prisons. The unique setting and nature of the intervention are such that it is without immediately apparent flaws. In addressing post-incarceration access, the authors suggest that a longitudinal consideration of a prisoner's HIV risk undermines the objection. ORIGINALITY/VALUE: This discussion is of importance due to the significantly heightened risk of HIV infection prisoners are subject to. Not only do effective HIV prevention interventions in prisons contribute to fair access to health for incarcerated individuals, but also to the wider fight against HIV. The authors demonstrate that PrEP has potential as a new approach and call for further research in this area.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.434
Teacher spread0.383 · 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 designObservational
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

Citations9
Published2019
Admission routes1
Has abstractyes

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