Patient-led decision making: Measuring autonomy and respect in Canadian maternity care
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
OBJECTIVE: The Changing Childbirth in British Columbia study explored women's preferences and experiences of maternity care, including women's role in decision-making. METHODS: Following content validation by community members, we administered a cross-sectional online survey exploring novel topics, including drivers for interventions, and experiences of autonomy, respect, or mistreatment during maternity care. Using the Mothers Autonomy in Decision-Making (MADM) scale as an outcome measure in a mixed-effects analysis, we examined differential experiences by socio-demographic and prenatal risk profile, type of care provider, interventions received, and nature of communication with care providers. RESULTS: A geographically representative sample of Canadian women (n = 2051) reported on 3400 pregnancies. Most women (95.2%) preferred to be the lead decision-maker during care. Patients of physicians had significantly lower autonomy (MADM) scores than midwifery clients as did women who felt pressured to accept interventions. Women who had a difference in opinion with their provider, and those who felt their provider seemed rushed reported the lowest MADM scores. CONCLUSION: Women's autonomy is significantly altered by model of maternity care, the nature of interactions with care providers, and women's ability for self-determination. PRACTICE IMPLICATIONS: If health professionals acquire skills in person-centred decision-making experience of autonomy among pregnant women may improve.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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