Trends in Prescribing Menopausal Hormone Therapy and Bisphosphonates in Australia and Manitoba, Canada and Adherence to Recommendations
Bibliographic record
Abstract
Background: Recommendations for using menopausal hormone therapy (MHT) and bisphosphonates for postmenopausal osteoporosis management have changed over time. After the release of the Women's Health Initiative (WHI) trial results in 2002, new evidence on risks and benefits of MHT became available, and newer guidelines generally specify that MHT should not be prescribed for prevention of chronic disease, including osteoporosis. This raises the question of whether bisphosphonate prescribing changed over time to compensate for the decrease in MHT use. Materials and Methods: We examined trends in dispensed prescriptions in Australia (national) and Canada (province of Manitoba) in relation to prescribing recommendations. Administrative data were used to describe dispensing patterns and changes for persons of all ages from 1996 to 2008, and for women aged 50 to ≥80 years from 2003 to 2008 in Australia and 1996 to 2008 in Canada. Results: In both geographic settings, MHT dispensing increased 1996–2001, peaked in 2001, and declined substantially thereafter (67% reduction in MHT prescriptions for Australia; 64% reduction for Manitoba, Canada to 2008). From 2003 to 2008, the number of MHT prescriptions declined among all age groups in both settings, with the highest declines among women in their 50s. Concurrently, bisphosphonate dispensing increased until 2005 (2001–2005: 260% increase in the number of prescriptions in Australia; 125% increase in Manitoba) and stabilized thereafter, in both settings. Annual bisphosphonate dispensing rates increased 4.1–10.9% for women in their 70s and 80s in Australia and Manitoba during the period studied. Conclusions: Based on dispensed prescriptions data, more recent guidelines for MHT and bisphosphonates use for postmenopausal osteoporosis, which were updated during the study period (and are still consistent with the current guidelines), appear to have been broadly adhered to in both settings.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| 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".