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Needle exchange as a safe haven in an unsafe world

2010· article· en· W1948820421 on OpenAlexaff
Joan MacNeil, Bernie Pauly

Bibliographic record

VenueDrug and Alcohol Review · 2010
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsOutreachHarm reductionStigma (botany)Qualitative researchFocus groupSafe havenPovertyMedicineHarmHuman immunodeficiency virus (HIV)NursingPsychologyBusinessPsychiatryFamily medicinePolitical scienceSocial psychologySociologyMarketing

Abstract

fetched live from OpenAlex

INTRODUCTION AND AIMS: The purpose of this paper is to describe the meaning of needle exchange programs from the perspectives of users who access such programs. DESIGN AND METHODS: We conducted observations, 33 semistructured interviews and two focus groups with users at four needle exchange sites. Qualitative description was used to analyse the data. RESULTS: Participants described experiences of trauma, abuse, violence and physical injuries that had damaged their lives and led to the use of drugs to numb the pain. Respect for persons and the development of trust with outreach staff for clients who use injecting drugs supported clients to feel safe in what for many was an unsafe world. Participants described the important role that needle exchange services play in reducing and countering negative stigma, as well as in providing access to clean supplies and to other services. DISCUSSION AND CONCLUSIONS: The findings attest to the benefits of having trusted, safe needle exchange services that not only reduce risk behaviours that prevent infections, such as HIV and hepatitis C, but also open the door to other services. This finding is particularly important given that the majority of those interviewed were homeless and living in poverty. The need for both fixed sites and the integration of harm reduction services as part of a broader network of primary health-care services was reinforced.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.063
GPT teacher head0.391
Teacher spread0.328 · 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

Citations94
Published2010
Admission routes1
Has abstractyes

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