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Record W2118444433 · doi:10.12927/hcpol.2013.21643

Cost Shifting and Timeliness of Drug Formulary Decisions in Atlantic Canada

2010· article· en· W2118444433 on OpenAlexafffundvenueabout
Andrea C. Scobie, Neil J. MacKinnon

Bibliographic record

VenueHealthcare policy · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsDalhousie University
FundersMitacs
KeywordsFormularyListing (finance)MandateBusinessDrugFamily medicineMedicineFinancePharmacologyPolitical science

Abstract

fetched live from OpenAlex

CONTEXT: Our objectives were to investigate the timeliness of formulary decision-making in Atlantic Canada, including the Common Drug Review (CDR) process and the adoption of positive CDR recommendations by Atlantic Canadian provincial public drug plans, and to determine the degree of cost shifting to private payers. METHODS: Dates of formulary listing decisions from Atlantic Canadian provincial drug plan formularies and utilization analyses from Medavie Blue Cross were used to calculate the timeliness of decisions and cost shifting from public payers to a private payer. RESULTS: The median time period between the issuance of a positive CDR recommendation and the addition of a drug to an Atlantic Canadian provincial drug plan was 26.7 weeks (σ=19.1). Cost shifting to employer-sponsored health plans provided by Medavie Blue Cross was minimal. DISCUSSION: There is significant variation in the timing of provincial drug formulary listings among the four Atlantic Canadian provinces and the uptake of CDR recommendations. CONCLUSION: Atlantic Canadian provincial governments should support the mandate of the CDR by aiming for a more timely consideration of recommendations.

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)0.010
metaresearch head score (Gemma)0.069
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 score0.096
Threshold uncertainty score0.697

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.069
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.279
GPT teacher head0.453
Teacher spread0.175 · 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

Citations2
Published2010
Admission routes4
Has abstractyes

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