Navigating the Perils of Pregnancy and Childbirth Among Youth in La Pointe, Haiti: Insights Captured Through Community Photovoice Research
Bibliographic record
Abstract
In Haiti, surviving pregnancy and childbirth is especially tenuous for young women, who are already marginalized. One of the four leading causes of death for women 20-24 years old is pregnancy- or childbirth-related. An important gap remains regarding youth perspectives of maternal health and well-being within their communities. We conducted a community-based participatory research study using Photovoice to understand the lived experiences of 17 young women from La Pointe, Haiti, and its surrounding rural communities, who survived a maternal near-miss, a grave obstetric event that one narrowly escapes. Youth participants took photographs and participated in individual interviews and focus groups to represent and share their pregnancy and birthing experiences. Visual and narrative data were analyzed by participants and our community research team using reflexive thematic analysis. The five main themes represent a perilous maternal journey. The themes included (a) the social context youth are embedded within, (b) structural, systemic and political forces youth face, (c) pain and suffering throughout youth maternal experiences, (d) search for support during the maternal trajectory, and (e) youth-generated solutions for improved maternal health and well-being. Our findings amplify youth voices on the pressing need to address multiple, intersecting issues that shape maternal health and well-being for all women with particular attention to the needs of young women. Understanding the experiences of Haitian youth survivors of maternal near-misses can inform research, practice, and policy to curb maternal deaths and maternal near-misses among young women within low-resource settings.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".