Development and pilot testing of the 2019 Canadian Abortion Provider Survey
Bibliographic record
Abstract
BACKGROUND: Substantial changes in abortion care regulations, available medications and national clinical practice guidelines have occurred since a 2012 national Canadian Abortion Provider Survey (CAPS). We developed and piloted the CAPS 2019 survey instrument to explore changes of the abortion provider workforce, their clinical care as well as experiences with stigma and harassment. METHODS: We undertook development and piloting in three phases: (1) development of the preliminary survey sections and questions based on the 2012 survey instrument, (2) content validation and feasibility of including certain content aspects via a modified Delphi Method with panels of clinical and research experts, and (3) pilot testing of the draft survey for face validity and clarity of language; assessing usability of the web-based Research Electronic Data Capture platform including the feasibility of complex skip pattern functionality. We performed content analysis of phase 2 results and used a general inductive approach to identify necessary survey modifications. RESULTS: In phase 1, we generated a survey draft that reflected the changes in Canadian abortion care regulations and guidelines and included questions for clinicians and administrators providing first and second trimester surgical and medical abortion. In phase 2, we held 6 expert panel meetings of 5-8 participants each representing clinicians, administrators and researchers to provide feedback on the initial survey draft. Due to the complexity of certain identified aspects, such as interdisciplinary collaboration and interprovincial care delivery differences, we revised the survey sections through an iterative process of meetings and revisions until we reached consensus on constructs and questions to include versus exclude for not being feasible. In phase 3, we made minor revisions based on pilot testing of the bilingual, web-based survey among additional experts chosen to be widely representative of the study population. Demonstrating its feasibility, we included complex branching and skip pattern logic so each respondent only viewed applicable questions based on their prior responses. CONCLUSIONS: We developed and piloted the CAPS 2019 survey instrument suitable to explore characteristics of a complex multidisciplinary workforce, their care and experience with stigma on a national level, and that can be adapted to other countries.
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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 | 0.001 | 0.002 |
| 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 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".