Subsequent pregnancy after stillbirth: a qualitative narrative analysis of Canadian families’ experiences
Bibliographic record
Abstract
BACKGROUND: In Canada, nearly nine pregnancies end in stillbirth daily. Most of these families will go on to have subsequent pregnancies, but research into how best to care for these parents is lacking. This study explores the lived experiences and the most important aspects of person-centred care for Canadian families experiencing a pregnancy after a stillbirth. METHODS: This qualitative descriptive design used secondary data collected from an online, international survey for bereaved parents who reported having experienced a pregnancy subsequent to a stillbirth. Only parents who identified as Canadian were included in this study. Three open text questions were asked about parents' experiences in their subsequent pregnancy. An inductive thematic analysis approach was used with open coding and a constant comparative method. RESULTS: Families' responses fell into six main themes that identified what they would have preferred for high quality, excellent care. These included: (1) recognizing anxiety throughout the subsequent pregnancy, (2) wanting one's voices and concerns to be heard and taken seriously, (3) needing additional and specific clinical care for reassurance, (4) desiring kindness and empathy from caregivers and others, (5) seeking support from others who had also experienced pregnancy after stillbirth; and (6) addressing mixed emotions including guilt, continuity of care and carer, positive thoughts versus more realistic ones, and poignant feelings of self-blame. CONCLUSIONS: Participants' responses identified that pregnancy after stillbirth is an extremely stressful time requiring patient-oriented care and support, both physically and psychologically. Families were able to articulate specific areas that would have improved the experience of their subsequent pregnancy. Parents asked for high-quality clinical and psychosocial prenatal care that was specific to them having experienced a prior stillbirth. They also requested connections to others experiencing this similar scenario. Further research is needed to delineate what supports and resources would be needed to ensure this care would be available to all families experiencing pregnancy after stillbirth across Canada and their caregivers.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.027 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".