A Canadian survey of patients’ attitudes toward donation of products of conception for research at the time of their aspiration abortion
Bibliographic record
Abstract
OBJECTIVE: We explored patients' attitudes toward donating products of conception for research at the time of their aspiration abortion. STUDY DESIGN: We surveyed patients presenting for first or second trimester aspiration abortion to the abortion service at British Columbia Women's Hospital over a 6-month period in 2018. Questions explored demographics, attitudes toward tissue donation, willingness to donate products of conception for research, and how the option of donating tissue influenced patients' perception of their abortion. We analyzed quantitative data using descriptive statistics and answers to open-ended questions using content analysis. RESULTS: The partially tracked response rate to our survey was n = 35 of 46 (76%). Of 98 respondents included for analysis 77 (79%) were willing to donate their products of conception to research. Most respondents (n = 85, 93%), 49 (54%) of whom had ever been offered to actually donate tissue, reported that tissue donation would either positively change (n = 33, 36%) or not change (n = 52, 57%) how they felt at the time of their abortion. The majority of respondents (n = 25, 60%) who were not invited to donate their products of conception would have liked the opportunity to do so. Content analysis of open-ended responses from those willing to donate identified the categories of helping others, contributing to research and providing meaning beyond the respondents' individual experience. CONCLUSION: Patients' willingness to donate products of conception to research and their associated positive attitudes provide important support for researchers and clinicians who are involved in research that uses products of conception. IMPLICATIONS: Our data may inform research programs and abortion clinics involved in research using products of conception by better understanding the patient experience of being involved in this type of research.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".