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Record W2513221909 · doi:10.1108/ijph-12-2015-0041

HIV outcomes at a Canadian remand centre

2016· article· en· W2513221909 on OpenAlexaffabout
Yazhini Subramanian, Muhammad Naeem Khan, Sara Berger, Michelle Foisy, Ameeta E. Singh, Dan Woods, Diane Pyne, Rabia Ahmed

Bibliographic record

VenueInternational Journal of Prisoner Health · 2016
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsAlberta Health ServicesAlberta HealthUniversity of Alberta
Fundersnot available
KeywordsMedicineRemand (court procedure)Human immunodeficiency virus (HIV)Viral loadContext (archaeology)Retrospective cohort studyMedical prescriptionInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to assess the impact of short-term incarceration on antiretroviral therapy (ART) adherence, virologic suppression, and engagement and retention in community care post-release. Design/methodology/approach A retrospective chart review of patients who attended the human immunodeficiency virus (HIV) Outreach Clinic at a Canadian remand center between September 2007 and December 2011 was carried out. Data extraction included CD4 lymphocyte count, HIV viral load, ART prescription refills, and community engagement and retention during and one-year pre- and post-incarceration. Findings Outpatient engagement increased by 23 percent ( p=0.01), as did ART adherence (55.2-70.7 percent, p=0.01), following incarceration. Retention into community care did not significantly improve following incarceration (22.4 percent pre-incarceration to 25.9 percent post-release, p=0.8). There was a trend toward improved virologic suppression (less than 40 copies/ml; 50-77.8 percent ( p=0.08)) during incarceration and 70. 4 percent sustained this one-year post-incarceration ( p=0.70). Originality/value The impact of short-term incarceration in a Canadian context of universal health coverage has not been previously reported and could have significant implications in optimizing HIV patient outcomes given the large number of HIV-positive patients cycling through short-term remand centers.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.709
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.374
Teacher spread0.349 · 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.

Study designNot applicable
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

Citations14
Published2016
Admission routes2
Has abstractyes

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