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Record W2770060262 · doi:10.9778/cmajo.20170065

Comparison of Canadian public medication insurance plans and the impact on out-of-pocket costs

2017· article· en· W2770060262 on OpenAlexvenueaboutno aff
David J.T. Campbell, Braden Manns, Lesley Soril, Fiona Clement

Bibliographic record

VenueCMAJ Open · 2017
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsnot available
Fundersnot available
KeywordsCost sharingDeductibleBusinessPaymentGovernment (linguistics)ResidenceMedicare Part DWork (physics)Actuarial scienceMedical prescriptionEnvironmental healthMedicineFinancePrescription drugDemographic economicsEconomics

Abstract

fetched live from OpenAlex

BACKGROUND: Research from 2006 documented substantial variation in medication coverage for residents across Canada. Since then, some provinces have implemented major medication plan reforms. We aimed to update the information on publicly funded medication insurance plans available across Canada and to compare out-of-pocket costs across the country. METHODS: We compared provincial medication insurance plans using data from public websites and other public source documents. Using 2 hypothetical clinical examples, we determined the amount and type of a patient's out-of-pocket costs for 5 different patient subtypes that varied based on medication burden, age and income. RESULTS: Each province offers a plan to all residents. Cost-sharing is employed across all provinces. Some residents must pay a premium to receive insurance or must pay 100% of their medication costs until they reach a deductible amount, above which government funding covers a portion of medication costs. With the scenario of low medication burden (medication cost about $500), out-of-pocket costs ranged from $250 to $2100 for higher-income residents and from $0 to $700 for lower-income residents. With the scenario of high medication burden (medication cost about $1800), the corresponding ranges were $250-$2500 and $0-$1100. The variation was due to province of residence, age and income. INTERPRETATION: Variations in out-of-pocket payments continue to exist across the provinces, with some groups facing high expenses. Further work is required to understand the impact of different cost-sharing mechanisms, develop policies to limit out-of-pocket expenses and improve provincial drug plans.

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)0.000
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 score0.149
Threshold uncertainty score0.990

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 science0.0010.000
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 head0.176
GPT teacher head0.434
Teacher spread0.259 · 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

Citations33
Published2017
Admission routes2
Has abstractyes

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