MétaCan
Menu
Back to cohort
Record W4400615708 · doi:10.22374/cjmrp.v17i1.58

Midwife as Counsellor: Midwives' Experiences Counselling Women Through Pregnancy, Birth and the Early Postpartum

2024· article· en· W4400615708 on OpenAlexaboutno aff
Rachelle Fulford, Jude Kornelsen

Bibliographic record

VenueCanadian Journal of Midwifery Research and Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPregnancyObstetricsMedicineNursingPsychologyFamily medicine

Abstract

fetched live from OpenAlex

Introduction: Pregnancy and childbirth are transformative life experiences that can create or exacerbate significant emotional, physical, social, and relational challenges. Midwives help women to feel confident and knowledgeable, to cope with anxiety and fear, and to prepare for considerable shifts of identity, responsibility, and family life. Research shows that counselling has the potential to positively impact women’s birth experiences and outcomes; however, less is known about how midwives understand and experience their role in counselling women. Methods: In the current study, nine practicing midwives in British Columbia, Canada, participated in a semi-structured interview. Interview transcripts were coded for themes. Results: Five themes emerged from the qualitative analysis of the interview responses, including: counselling as “part of the job”, the importance of “meeting people where they are at”, feeling that “sometimes we’re out of our depths”, “learning by doing”, and the importance of “taking care of the midwife.” Discussion: Findings from this study suggest that counselling is a prevalent part of midwifery care in British Columbia. Future studies should focus on exploring the impact of midwives’ accessibility to their clients when specialized counselling services are not available, collaborative ways for midwives to participate with mental health professionals in the broader community, and tailoring professional development for midwives in both health and mental health counselling. This article has been peer-reviewed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.098
GPT teacher head0.420
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Midwifery Research and PracticeSame topicMaternal and Perinatal Health InterventionsFrench-language works237,207