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Record W2161297036 · doi:10.3109/14659890903431603

Embarrassing, degrading, or beneficial: Patient and staff perspectives on urine drug testing in methadone maintenance treatment

2010· article· en· W2161297036 on OpenAlexafffund
Carol Strıke, Claire Rufo

Bibliographic record

VenueJournal of Substance Use · 2010
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsCentre for Addiction and Mental Health
FundersOntario Ministry of Health and Long-Term CareOntario HIV Treatment Network
KeywordsUrinalysisMethadone maintenanceMethadoneMedicineUrineDrugAmbivalenceIntensive care medicinePsychologyPsychiatryInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

Urine drug testing is a routine, but debated and contentious procedure in methadone maintenance treatment (MMT). Largely overlooked in the debate are the perspectives of patients and clinical staff about this procedure. Using semi-structured interviews (n = 64) with MMT patients and clinical staff at four programmes, we explore their attitudes and perceived implications for treatment. We documented varied urinalysis practices by site and with considerable disagreement regarding its emotional impact and therapeutic value. Among patients, comments about urine drug testing varied from degrading to ambivalence to acceptance as a necessary component of treatment. Staff members who supported urinalysis and described it as beneficial stated that it provided a point of entry into patients' lives and helped to identify possible barriers to recovery. Others believed urinalysis impeded the development and maintenance of an effective therapeutic alliance. Lack of strong empirical evidence demonstrating improved patient outcome related to urine drug testing suggests that this procedure should be determined based on individual patient goals.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.062
GPT teacher head0.327
Teacher spread0.265 · 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

Citations43
Published2010
Admission routes2
Has abstractyes

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