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Record W2126620175 · doi:10.1016/j.drugpo.2014.12.010

Peer helpers’ struggles to care for “others” who inject drugs

2015· article· en· W2126620175 on OpenAlexaffabout
Margaret Dechman

Bibliographic record

VenueInternational Journal of Drug Policy · 2015
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsCape Breton University
Fundersnot available
KeywordsMedical prescriptionFocus groupPublic relationsMedicineNursingPsychologyBusinessPolitical scienceMarketing

Abstract

fetched live from OpenAlex

BACKGROUND: Users who access needle exchanges are sometimes recruited to act as secondary distributors in an effort to reach a broader range of individuals who inject drugs. Although evaluations have demonstrated the efficiency of such approaches, more recent research has begun to uncover particular challenges associated with assuming these intermediary roles. METHODS: This article provides insights drawn from four focus-group sessions with 17 volunteers, termed natural helpers, who have between 1 and 14 years experience acting as secondary distributors for an Atlantic Canadian needle exchange. RESULTS: From the perspective of the natural helpers involved in this research, medical professionals consider those who inject drugs to be undeserving of the care accorded to more "responsible" patients. As a consequence of such disenfranchisement, natural helpers find themselves drawn into many forms of informal "doctoring" that extend far beyond their official roles as secondary distribution agents. In addition to providing syringes, training new users in safe injection procedures and promoting the use of sterile equipment, natural helpers try to dissuade people from starting to inject, act as first responders for overdoses, test drug potency, administer first aid, share prescription drugs such as antibiotics, offer temporary housing, counsel on emotional/psychological issues, and support those who are striving to reduce their drug consumption. CONCLUSION: The practices that have arisen in response to the distancing from professional health care experienced by those who inject drugs pose serious dilemmas and risks for not only users and natural helpers but also the general public.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.258
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.408
Teacher spread0.359 · 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

Labeled directly by 2 models reading the full record.

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

Citations49
Published2015
Admission routes2
Has abstractyes

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