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Record W6941887463 · doi:10.14288/1.0215997

The perspectives of injection drug users regarding safer injecting education delivered through a supervised injecting facility

2015· article· en· W6941887463 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSAFERThematic analysisContext (archaeology)HarmHarm reductionQualitative researchParticipant observationDrugHealth care

Abstract

fetched live from OpenAlex

Background: Unsafe injection practices are prevalent among injection drug users (IDU) and have resulted in numerous forms of drug-related harm including HIV/HCV transmission and other bacterial and viral infections. North America's first supervised injection facility (SIF) was established in Vancouver in order to address injection-related harms among IDU. This study sought to examine injection drug users' experiences receiving safer injecting education in the context of a SIF. Methods Semi-structured qualitative interviews were conducted with 50 individuals recruited from a cohort of SIF users known as the Scientific Evaluation of Supervised Injection (SEOSI) cohort. Audio recorded interviews elicited IDU perspectives regarding the provision of safer injecting education within the context of a SIF. Interviews were transcribed verbatim and a thematic analysis was conducted. Results Participant narratives indicate that significant gaps in knowledge regarding safer injecting practices exist among local IDU, and that these knowledge deficits result in unsafe injecting practices and negative health outcomes. However, IDU perspectives reveal that the SIF allows clients to identify and address these gaps in knowledge through a number of mechanisms that are unique to this facility, including targeted educational messaging that occurs as a part of the drug use cycle and not outside of it, in situ demonstration of safer injecting techniques that takes place the moment a client is experiencing difficulties, and enhanced opportunities to seek help from 'expert' healthcare professionals. Importantly, study participants indicated that the overall environment of the SIF promotes the adoption of safer injecting practices over time, both within and outside of the facility. Conclusion We conclude that the SIF has been particularly effective in transmitting educational messages targeting unsafe and unhygienic injection practices to a population of active IDU. Consistent with previous work, results of this study indicate that SIFs represent a unique 'micro-environment' that can facilitate the reduction of numerous drug related harms.

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)0.005
metaresearch head score (Gemma)0.009
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 score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.265
Teacher spread0.232 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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