Health Services Utilization With Reference Drug Pricing of Histamine2 Receptor Antagonists in British Columbia Elderly
Bibliographic record
Abstract
BACKGROUND: In October 1995, British Columbia introduced a reference pricing policy for five therapeutic classes of drugs, including histamine(2) receptor antagonists (H(2)RAs), for beneficiaries of its prescription drug program, Pharmacare. OBJECTIVES: To evaluate utilization trends in consumption of health services in a cohort of Pharmacare beneficiaries to determine if a worsening of health outcomes could be detected after implementation of the reference pricing policy. RESEARCH DESIGN: Two cohorts, "control" (21 months before the reference pricing policy) and "exposed" (at risk for policy effects), were followed for 21 months. Using a longitudinal generalized linear model (Poisson), and controlling for age, sex, and prescriptions in unique drug classes, trend lines in each of these time series were compared for 3 periods: 9 months before policy implementation (or corresponding index date in the control cohort), 6 months after policy implementation, and a subsequent 6-month period. SUBJECTS: Two cohorts, each of size 10,000, were constructed by randomly sampling the population of Pharmacare beneficiaries exposed to H(2)RAs and other antisecretory drugs for 1993 through 1996. MEASURES: Prescriptions, physician office visits and associated transactions (ie, laboratory tests), emergency room visits, hospitalizations, hospital length of stay, and vital statistics. RESULTS: Differences between periods and between cohorts for health services utilization were not significant or decreased after imposition of the reference pricing policy. CONCLUSION: For these measures, there has been no worsening of health outcomes associated with implementing the reference pricing policy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".