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Record W2915844912 · doi:10.1108/ijph-12-2017-0058

An evaluation of Take Home Naloxone program implementation in British Columbian correctional facilities

2019· article· en· W2915844912 on OpenAlexaffabout
Lindsay A Pearce, Lauren Mathany, D A Rothon, Margot Kuo, Jane A. Buxton

Bibliographic record

VenueInternational Journal of Prisoner Health · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsBC Centre for Disease ControlUniversity of British Columbia
Fundersnot available
KeywordsFocus groupProgram evaluationTrainerPopulationMedical educationHealth careMedicineNursingPsychologySociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

PURPOSE: To understand how the Take Home Naloxone (THN) program is implemented in two pilot correctional facilities in British Columbia (BC), Canada, in order to identify areas for program improvement and inform the expansion of the program to other Canadian correctional facilities The paper aims to discuss these issues. DESIGN/METHODOLOGY/APPROACH: Two focus groups and one interview were conducted with healthcare staff at two pilot correctional facilities. Sessions were audio recorded, transcribed verbatim and divergent and convergent experiences within and between the facilities were explored in an iterative process. Key themes and lessons learned were identified and later validated by focus group participants. FINDINGS: Key themes that emerged included: challenges and importance of the train-the-trainer program for healthcare staff conducting participant training sessions; potential for improved prison population engagement and awareness of the program; tailoring program resources to the unique needs of an incarcerated population; challenges connecting participants to community harm reduction resources following release; and clarifying and enhancing the role of correctional officers to support the program. RESEARCH LIMITATIONS/IMPLICATIONS: The correctional setting presents unique challenges and opportunities for the THN program that must be considered for program effectiveness. ORIGINALITY/VALUE: This evaluation was conducted to inform program expansion amidst a historic opioid overdose epidemic in BC, and adds to the limited yet growing body of literature on the implementation and evaluation of this program in correctional settings globally.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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)0.0010.000

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 head0.060
GPT teacher head0.450
Teacher spread0.389 · 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

Citations26
Published2019
Admission routes2
Has abstractyes

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