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Record W2148553478 · doi:10.1016/s0009-9236(03)00227-3

Clinical and economic consequences of reference pricing for dihydropyridine calcium channel blockers

2003· article· en· W2148553478 on OpenAlexaffabout
Sebastian Schneeweiß

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2003
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsUniversity of Victoria
FundersAgency for Healthcare Research and Quality
KeywordsDihydropyridineMedicineOdds ratioConfidence intervalDrug classDrugDemographyInternal medicineCalciumPharmacology

Abstract

fetched live from OpenAlex

OBJECTIVE: Reference pricing is a medication cost-sharing policy that fully covers medications which are less expensive than a standard reference price and requires patients to pay the extra cost of higher-priced drugs in a class of therapeutically substitutable drugs. Little information exists on the clinical and economic consequences. We analyzed changes in drug utilization, physician visits, hospitalizations, long-term care admissions, and expenditures after the introduction of reference pricing for dihydropyridine calcium channel blockers (CCBs) among patients aged 65 years or older in British Columbia, Canada. METHODS: This quasiexperimental longitudinal study was performed in the setting of Pharmacare, the state-funded drug benefits plan of all elderly persons in British Columbia. Study patients comprised all elderly residents of British Columbia who were enrolled in the provincial health insurance program and received dihydropyridine CCBs at the time of the policy change (35,886) and a subgroup of high-priced dihydropyridine CCB users (23,116). We studied the implementation of reference drug pricing on Jan 1, 1997, affecting all elderly Pharmacare beneficiaries. The main outcome measures were drug utilization, drug expenditures, physician visits, hospitalizations, long-term care, and net savings. RESULTS: The start of reference pricing was followed by a significant reduction in high-priced dihydropyridine CCBs (-150 monthly doses per 10,000 elderly persons), with a corresponding increase in fully covered dihydropyridine CCBs (+116). Overall, antihypertensive use did not decline (P =.46). Low-income status was a risk factor for discontinuing treatment (odds ratio, 1.64; 95% confidence interval [CI], 1.36 to 1.99); however, this was already observed to a similar magnitude 12 months before reference pricing (odds ratio, 1.46). In the overall study cohort, there was no increase in rates of physician visits, hospitalizations, and long-term care admissions. However, the 9% of patients who actually switched medications showed an 18% increase (95% CI, 8% to 28%) in physician visits and an increase of Canadian $13 (95% CI, Canadian $3 to Canadian $24) in costs of physician visits per patient as compared with nonswitchers during the transition but not afterward. This temporary increase may have been a result of additional prescribing and monitoring in switchers. Changes in drug expenditures and physician services resulted in net savings of Canadian $1.6 million in the first 12 months of policy implementation. CONCLUSIONS: Reference pricing as implemented in British Columbia may be a model for successful pharmaceutical cost-containment without adversely affecting patients or cost-shifting.

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)0.004
metaresearch head score (Gemma)0.021
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 score0.122
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.287
GPT teacher head0.500
Teacher spread0.213 · 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

Citations62
Published2003
Admission routes2
Has abstractyes

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