Healthcare professionals’ experience of teenage pregnancy and motherhood in Haiti
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to explore healthcare professionals' experience of pregnant and motherhood in adolescence in Haiti. METHODS: The methodology for collecting and analyzing qualitative data was based on John Dewey's social survey. The study was conducted in nine health institutions in the North and North-East departments of Haiti from October 2020 to January 2021. Data were collected through individual semi-structured interviews with 15 healthcare professionals. All interviews were audio-recorded. The recordings were listened to carefully and transcribed in verbatim form. After checking and validation, the verbatims in Word format were exported to QDA Miner software version 6.0.5 for coding. The data were analyzed using Paillé and Mucchielli thematic analyses. RESULTS: Health professionals such as gynecologists, nurses, midwives, nursing assistants, matrons and health workers took part in the study. These study participants indicate that teenage pregnancy and motherhood are social and public health problems whose negative consequences affect teenage girls, children, healthcare professionals, the healthcare system, and Haitian society in general. The services offered to adolescent girls are medical, educational, psychological, economic, and social in nature. When caring for pregnant adolescents during the transition to motherhood, healthcare professionals face many challenges that are linked to the socio-economic status and physiological reality of adolescents, as well as the healthcare system. CONCLUSIONS: Programs involving home care visits should also be set up to offer ongoing support to pregnant or parenting teenagers. The distribution of food aid or materials such as clothing, hygiene products and baby kits should also be considered.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".