Impact of a Limited Fluoroquinolone Reimbursement Policy on Antimicrobial Prescription Claims
Bibliographic record
Abstract
OBJECTIVE: To examine the influence on administrative pharmacy claims of a policy that limited the reimbursement of the fluoroquinolones and other antimicrobials in the senior population within Nova Scotia, Canada. METHODS: The administrative claims database of the Nova Scotia Seniors' Pharmacare Program was used to identify all prescription claims for orally administered antibiotics and urinary antiinfectives. The number of beneficiaries receiving antimicrobials and the number, duration, and cost of prescriptions for antimicrobials were measured monthly. Descriptive time-series plots were used to compare antimicrobial use for two 12-month periods before the institution of the policy (December 1, 1994-November 30, 1995, and December 1, 1995-November 30, 1996) and the 12 months after the policy took effect (January 1, 1997-December 31, 1997). RESULTS: Following the implementation of the fluoroquinolone reimbursement policy, the number of patients using antimicrobials decreased by 2.2% and the number of prescriptions for antimicrobials decreased by 3.4%. Fluoroquinolone prescriptions decreased by 80.2%; prescriptions for sulfonamides and trimethoprim increased by 34.9%, cephalosporins by 17.0%, and macrolides and lincosamides by 16.5%. The only prescription duration to change was the fluoroquinolones, which increased by 25%. The average cost per antimicrobial user/year decreased from $35.24 during prepolicy period 2 to $27.51 during the postpolicy period. CONCLUSIONS: Prescription claims for fluoroquinolones in seniors decreased following the introduction of the policy. Total antimicrobial use also decreased, although this may be related to other factors. The effect of this policy change on patient outcomes requires further study.
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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 | 0.005 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".