Postpartum Women’s Perspectives on the Donation of Placentas for Scientific Research in Campinas, Brazil
Bibliographic record
Abstract
Little is known about public perspectives of scientific and therapeutic uses of placentas. Gaps in knowledge potentiate ethical and clinical problems regarding collection and applications. As such, this study sought to assess the perspectives of placenta donation of a sample of women. Postpartum women's perspectives on placental donation were assessed at the State University of Campinas in the Centro de Atençäo Integral a Saúde da Mulher (CAISM) maternity hospital using a cross-sectional survey (n = 384) and semi-structured interviews (n = 12). Surveys were analyzed quantitatively and interviews were analyzed qualitatively using grounded coding; results were compared. The average age of respondents was 27. Fifty-six percent had more than one child, 45% were Caucasian, 38% were mixed-race, 74% identified with a Christian faith, 52% had high school education or higher, 13% regarded the placenta as spiritually important, 72% felt that knowing what happens to the placenta after birth was somewhat or very important, 78% supported the use of the placenta in research and medicine, 59% reported that consent to collect the placenta was very or somewhat important, 78% preferred their doctor to invite donation, and only 7% preferred the researcher to invite donation. Interviews suggested women appreciate being part of research and that receiving information about studies was important to them. Informed by these results, we argue that women support scientific and therapeutic uses of placentas, want to be included in decision making, and desire information about the placenta. Placentas should not be viewed as "throwaway" organs that are poised for collection without the involvement and permission of women. Women want to be meaningfully included in research processes.
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 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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".