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Record W2038048459 · doi:10.1080/10826080802241193

A Primary Care/Multidisciplinary Harm Reduction Clinic Including Opiate Bridging

2008· article· en· W2038048459 on OpenAlexaffabout
David Ross, Freda Lo, Robert McKim, G. Michael Allan

Bibliographic record

VenueSubstance Use & Misuse · 2008
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsInstitute of Health EconomicsUniversity of Alberta
Fundersnot available
KeywordsMultidisciplinary approachHarm reductionOpiateBridging (networking)Primary careMedicineHarmPsychiatryPsychologyNursingFamily medicinePublic healthSocial psychologySociologyComputer security

Abstract

fetched live from OpenAlex

Wait times for methadone maintenance programs are associated with significant dropout rates. This puts the substance user at risk of continued illegal and high-risk behavior. We describe a unique model of daily dispensing opiates other than methadone to "bridge" clients awaiting methadone management. The Health and Harm Reduction Clinic is a community-based, primary care health clinic in Edmonton, Alberta, Canada, an urban city of 1 million. The team is comprised of a family physician, nurse practitioner, social/mental health worker and addictions counsellor. Descriptive data utilizing chart reviews from 2001 to 2005 are presented: one hundred four noninjection drug users and 86 injection drug users, with 43 of the latter being "bridged." This team model, which includes opiate bridging to a methadone program, appears to provide a reasonable approach for community-based practices to offer quality care for substance-abusing patients. Further clarification of the impact on health outcomes and health service utilization is suggested.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.069
GPT teacher head0.332
Teacher spread0.262 · 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 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

Citations4
Published2008
Admission routes2
Has abstractyes

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