Factors obstetricians, family physicians and midwives consider when counselling women about a trial of labour after caesarean and planned repeat caesarean: a qualitative descriptive study
Bibliographic record
Abstract
BACKGROUND: Repeat caesarean sections (CSs) are major contributors to the high rate of CS in Canada and globally. Women's decisions to have a planned repeat CS (PRCS) or a trial of labour after CS (TOLAC) are influenced by their maternity care providers. This study explored factors maternity care providers consider when counselling pregnant women with a previous CS, eligible for a TOLAC, about delivery method. METHODS: A qualitative descriptive design was implemented. Semi-structured, one-to-one in-depth telephone interviews were conducted with 39 maternity care providers in Ontario, Canada. Participants were recruited at 2 maternity care conferences and with the use of snowball sampling. Interviews were audio recorded and transcribed verbatim. Data were uploaded into the data management software, NVIVO 10.0 and analyzed using qualitative content analysis. RESULTS: Participants consisted of 12 obstetricians, 13 family physicians and 14 midwives. Emergent themes, reflecting the factors maternity care providers considered when counselling on mode of delivery, were organized under the categories clinical/patient factors, health system factors and provider preferences. Maternity care providers considered clinical/patient factors, including women's choice … with conditions, their assessment of women's chances of a successful TOLAC, their perception of women's risk tolerance, women's preferred delivery method, and their perception of women's beliefs and attitudes about childbirth. Additionally, providers considered health system factors which included colleague support for TOLAC and time needed to mount an emergency CS. Finally, provider factors emerged as considerations when counselling. They included provider preference for PRCS or TOLAC, provider scope of practice, financial incentives and convenience related to PRCS, past experiences with TOLAC and PRCS and providers' perspectives on risk of TOLAC. CONCLUSION: The findings highlight the multiplicity of factors maternity care providers consider when counselling women. Effectively addressing clinical, health care system and personal factors that influence counselling may help decrease non-medically indicated PRCS.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| 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".