Dramatic change in prescribing of hormone replacement therapy in the Netherlands after publication of the Million Women Study: a follow‐up study
Bibliographic record
Abstract
AIMS: To estimate the diffusion of new safety information concerning postmenopausal hormonal replacement therapy (HRT) into prescribing practice in The Netherlands and to assess the impact of revised guidelines on the long-term treatment of HRT. DESIGN: Cross-sectional study. SETTING: Community pharmacy dispensing data from a population of approximately 450,000 patients in the northern and eastern part of The Netherlands. POPULATION: Women aged 45-69 years to whom at least one HRT prescription was dispensed between 1 January 2000 and 1 January 2004. MAIN OUTCOME MEASURES: Annual and quarter prevalences of HRT and the proportion of new HRT users, switchers and continuous HRT users per quarter. RESULTS: The prevalence of HRT prescribing decreased significantly from 107/1000 [95% confidence interval (CI) 104, 110] in 2000 to 87/1000 (95% CI 84, 89) in 2003. The decreasing prevalence was especially evident among the younger age groups and was most pronounced among users of oestrogen/progestagen combinations. The publication of the Women Health Initiative Study (WHI) was followed by a modest decrease in prescribing of HRT, whereas prescribing of HRT declined dramatically after publication of the Million Women Study (MWS) in August 2003. Among the continuous HRT users in the 4th quarter of 2002, 55% used HRT longer than 3 years. This percentage was 53 in the 4th quarter of 2003. CONCLUSIONS: In contrast to the release of the WHI study results, publication of the MWS was followed by a dramatic fall in prescribing of HRT in The Netherlands. Despite the new recommendation that long-term HRT use should be discouraged, the proportion of long-term users did not change after the publication of the MWS.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".