A qualitative descriptive study of the group prenatal care experience: perceptions of women with low-risk pregnancies and their midwives
Bibliographic record
Abstract
BACKGROUND: Group prenatal care (GPC) originated in 1994 as an innovative model of prenatal care delivery. In GPC, eight to twelve pregnant women of similar gestational age meet with a health care provider to receive their prenatal check-up and education in a group setting. GPC offers significant health benefits in comparison to traditional, one-on-one prenatal care. Women in GPC actively engage in their healthcare and experience a supportive network with one another. The purpose of this study was to better understand the GPC experience of women and care providers in a lower risk group of women than often has been previously studied. METHODS: This qualitative descriptive study collected data through three focus group interviews--two with women who had completed GPC at a midwifery clinic in Ontario, Canada and one with the midwives at the clinic. Data was analyzed through open coding to identify themes. RESULTS: Nine women and five midwives participated in the focus groups, from which eight categories as well as further subcategories were identified: The women and midwives noted reasons for participating (connections, education, efficiency). Participants suggested both benefits (learning from the group, normalizing the pregnancy experience, preparedness for labour and delivery, and improved relationships as all contributing to positive health outcomes) and concerns with GPC (e.g. sufficient time with the midwife) which generally diminished with experience. Suggestions for change focused on content, environment, partners, and access to the midwives. Challenges to providing GPC included scheduling and systems-level issues such as funding and regulation. Flexibility and commitment to the model facilitated it. Comparison with other models of care identified less of a relationship with the midwife, but more information received. In promoting GPC, women would emphasize the philosophy of care to other women and the midwives would promote the reduction in workload and women's independence to colleagues. CONCLUSIONS: Overall, women and midwives expressed a high level of satisfaction with their GPC experience. This study gained insight into previously unexplored areas of the GPC experience, perceptions of processes that contribute to positive health outcomes, strategies to promote GPC and elements that enhance the feasibility of GPC.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 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".