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Record W4393398280

Opioid Doctor Shopping: A Rare Phenomenon Among Patients with Chronic Non-Cancer Pain Followed in Tertiary Care Settings

2021· article· en· W4393398280 on OpenAlexaboutno aff
Kaboré JL, Lise Dassieu, Pagé MG

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsOpioidPhenomenonChronic painMedicineCancerTertiary careFamily medicinePhysical therapyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Jean-Luc Kaboré,1,2 Manon Choinière,2,3 Lise Dassieu,2 Anaïs Lacasse,4 M Gabrielle Pagé2,3,5 1Department of Pharmacology and Physiology, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada; 2Research Centre of the Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, Quebec, Canada; 3Department of Anesthesiology and Pain Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada; 4Department of Health Sciences, Université du Québec en Abitibi-Témiscamingue (UQAT), Rouyn-Noranda, Quebec, Canada; 5Department of Psychology, Faculty of Arts and Science, Université de Montréal, Montreal, Quebec, CanadaCorrespondence: M Gabrielle PagéResearch Centre of the Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, CanadaTel +1 514-890-8000 ext. 31601Fax +1 514-412-7027Email gabrielle.page@umontreal.caBackground: Opioid doctor shopping has not yet been investigated in patients followed in tertiary care settings. This study aimed at assessing the prevalence of opioid doctor shopping among patients with chronic non-cancer pain (CNCP) (ie, pain lasting ≥ 3 months) attending multidisciplinary pain clinics in Quebec, Canada.Patients and Methods: This was a retrospective cohort study of patients with CNCP enrolled in the Quebec Pain Registry (QPR) between 2008 and 2014. QPR data were linked to the Quebec health insurance databases. The index date was the date of the first visit at the pain clinic. Prevalence of doctor shopping was assessed within the 12 months following the index date. Doctor shopping was defined as at least 1 day of overlapping opioid prescriptions from ≥ 2 prescribers and filled in ≥ 3 pharmacies.Results: A total of 2191 patients with CNCP with at least one opioid dispensation within the 12 months following the index date were included. The mean age was 58.6± 14.9 years and 41.3% were men. The median pain duration was 4 years, and 13.3% of patients were diagnosed with neuropathic pain. Regarding past year comorbidities, 15.0% presented anxiety, 16.8% depression and 6.4% substance use disorder. Among the included patients, 15 (0.7%) presented at least one episode of doctor shopping. Among these doctor-shoppers, 9 (60.0%) exhibited only 1 episode.Conclusion: Opioid doctor shopping is a rare phenomenon among patients with CNCP treated in tertiary care settings. Opioids should remain a drug option for patients without substance use disorder, and who have persistent pain despite optimized nonopioid therapy.Keywords: opioids, doctor shopping, chronic non-cancer pain, Quebec Pain Registry

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.057
GPT teacher head0.443
Teacher spread0.387 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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