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Record W2299509180 · doi:10.1586/14737167.2016.1167600

Variations in costs and use of provincially-funded testosterone replacement therapy across Canada: a population-based study

2016· article· en· W2299509180 on OpenAlexafffundabout
Mina Tadrous, Diana Martins, Kathy Lee, Simon R. Knowles, Muhammad Mamdani, David N. Juurlink, Tara Gomes

Bibliographic record

VenueExpert Review of Pharmacoeconomics & Outcomes Research · 2016
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsCanadian Institute for Health InformationSunnybrook HospitalUniversity of TorontoInstitute for Clinical Evaluative SciencesSt. Michael's Hospital
FundersOntario Ministry of Health and Long-Term CareInstitute for Clinical Evaluative Sciences
KeywordsReimbursementTestosterone replacementDemographyListing (finance)MedicinePopulationEnvironmental healthGeographyHealth careBusinessEconomic growthEconomicsFinance

Abstract

fetched live from OpenAlex

INTRODUCTION: Provincial drug-program policies for the reimbursement of testosterone replacement therapy (TRT) vary across Canada, which may result in marked regional variability in use. METHODS: We conducted a population-based cross-sectional analysis of provincially funded TRT spending and utilization in eight provinces across Canada in 2012. We reported the annual cost per user, total cost, and rate of use of TRT overall and by formulation. RESULTS: We identified 23,544 provincially-funded recipients of TRT in 2012 in the eight provinces studied. Average annual cost per person varied by 3-fold, ranging from $173 (Prince Edward Island) to $485 (Ontario). Ontario also had the highest rate of use (1,105 users per 100,000 eligible) and the most liberal listing. Provinces with more restricted access (Alberta, British Columbia, and PEI) had lower annual costs per user ($293, $206, $173, respectively). CONCLUSIONS: Differing reimbursement policies for TRT products across Canada are likely contributing to variation in the rate of use and cost per recipient.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.027
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.008
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.078
GPT teacher head0.506
Teacher spread0.428 · 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

Citations0
Published2016
Admission routes3
Has abstractyes

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