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Record W2055879250 · doi:10.1016/j.jmwh.2009.03.017

The Collaboration for Maternal and Newborn Health: Interprofessional Maternity Care Education for Medical, Midwifery, and Nursing Students

2009· review· en· W2055879250 on OpenAlexaffabout
Lee Saxell, Susan J. Harris, Lehe Elarar

Bibliographic record

VenueJournal of Midwifery & Women s Health · 2009
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsVancouver Coastal HealthCollege of Family Physicians of CanadaB.C. Women's Hospital & Health CentreSt. Paul's Hospital
Fundersnot available
KeywordsCasualMultidisciplinary approachMaternity careInterprofessional educationNursingMedicineHealth careMedical educationObstetricsFamily medicinePsychologySociologyPolitical science

Abstract

fetched live from OpenAlex

The Collaboration for Maternal and Newborn Health, a multidisciplinary group of maternity care providers from the University of British Columbia (UBC), received funding from Health Canada to develop interprofessional education programs for health care students. Medical, midwifery, and nursing students from UBC were invited to participate in the three programs described in this article. The Interprofessional Student Doula Support Program, a year-long program for 15 students, combines classroom learning about marginalized women with on-call doula support to attend births. The Interprofessional Normal Labour and Birth Workshop is a 5-hour event, comprised of lectures and hands-on stations about normal labour, birth, and the immediate postpartum period. The Maternity Care Club Hands-on Night occurs twice a year, and students gather to practice at maternity care stations in a casual setting. A total of 467 participants over 3 years completed evaluations of their experiences. Students rate these programs very highly in terms of benefits of multidisciplinary collaboration. Providing students with opportunities to engage with other health care disciplines enhances interest in the professions of maternity care and the benefits of collaboration.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.542
Teacher spread0.501 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations35
Published2009
Admission routes2
Has abstractyes

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