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Record W2980759048 · doi:10.36076/ppj.2018.3.219

Patterns, Changes, and Trends in PrescriptionOpioid Dispensing in Canada, 2005–2016

2018· article· en· W2980759048 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePain Physician · 2018
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsSimon Fraser UniversityCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsMedicinePsychological interventionMedical prescriptionDemographyPopulationPharmacyEnvironmental healthFamily medicinePharmacologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Levels of prescription opioid (PO) dispensing have been rising in Canada - also in global comparison - since the mid-2000s, and are co-occurring with extensive PO-related morbidity and mortality. Previous analyses have demonstrated correlations between PO dispensing and related harm levels, yet also distinct heterogeneous interprovincial PO-dispensing patterns, in regards to quantities and individual PO formulations. Several system-level interventions have been implemented recently (since 2012) to address high PO-use levels and related harms in Canada; the effects of these interventions on PO-dispensing levels remain largely unexamined. OBJECTIVES: Our aim was to examine over-time patterns and trends of levels of PO dispensing quantitatively (in defined daily doses [DDDs]) for 'strong' and 'weak' opioids and qualitatively (by individual PO formulations) by province and Canada total, for the period of 2005-2016. METHODS: We examined annual PO-dispensing levels, by 'weak' and 'strong' POs (individual PO formulations, but excluding methadone), by province and for Canada total, from 2005-2016. Raw dispensing information for POs were obtained from IMSQuintiles CompuScript [new name: IQVIA], based on monthly retail dispensing data from a representative sample of community pharmacies covering about 80% of all dispensing episodes in Canada. These data were converted into annual dispensing values in DDDs (DDD/1,000 population/day), based on standard methodology, for the PO formulation groups of interest. Patterns and trends of 'strong' and 'weak' POs and individual PO formulations were examined descriptively, aided by segmented regression analyses to identify significant break-points in over-time trends. In addition, changes in 'strong'/'weak' PO dispensing ratios between 2005 and 2016 were examined. RESULTS: 'Weak' PO use remained largely stable across Canada over the study period. For 'strong' PO dispensing, half of the provinces featured consistent increases, while remaining provinces presented initial increases with subsequently reverting downward trends at divergent levels. Dispensing of individual 'strong' PO formulations varied interprovincially; specifically, substantial decreases for oxycodone co-occurred with increases in other 'strong' PO formulations. The dispensing ratios for 'strong'/'weak' POs increased significantly across jurisdictions between 2005 and 2016 (P < .05). LIMITATIONS: Retail pharmacy-based data do not cover the total - but the large majority - of PO dispensing in Canada. There are limitations to DDD/1,000 population/day as a comparative measurement unit for PO dispensing. The causal contribution of interventions associated with changes in PO dispensing observed cannot be verified with the data available. CONCLUSIONS: Heterogeneous trends for PO dispensing, driven mostly by variations in 'strong' PO use, continue to be observed provincially across Canada. Recent changes in PO dispensing are likely influenced by recent intervention efforts (e.g., PO de-scheduling, monitoring, guidelines) aiming to reduce PO-related harms, which, however, have shown limited impact on PO-dispensing levels to date. KEY WORDS: Opioids, prescribing, dispensing, interventions, policy, population, monitoring, Canada.

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.

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)0.000
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 score0.471
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.239
Teacher spread0.227 · 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