The preferences of women in Australia for the features of long-acting reversible contraception: results of a discrete choice experiment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Long-acting reversible contraceptives (LARC), such as intrauterine devices (IUD) and implants, are highly effective. However, the uptake of LARC in Australia has been slow and the oral contraceptive pill (OC) remains the best known and most widely used contraceptive. Our aim was to investigate women's preferences for the features of LARC. METHODS: We used a discrete choice experiment (DCE) in which each respondent completed 12 choice tasks. We recruited a general population sample of 621 women in Australia aged 18-49 using an online survey panel. A mixed logit model was used to analyse DCE responses; a latent class model explored preference heterogeneity. RESULTS: Overall, 391 (63%) of women were currently using contraception; 49.3% were using an OC. About 22% of women were using a LARC. Women prefer products that are more effective in preventing pregnancy, have low levels of adverse events (including negative effects on mood), and which their general practitioner (GP) recommends or says is suitable for them. CONCLUSIONS: Women have strong preferences for contraceptive products that are effective, safe, and recommended by their GP. The results indicate which characteristics of LARCs need to be front and centre in information material and in discussions between women and healthcare professionals.
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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 | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it