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Record W2028686978 · doi:10.3109/13561820.2011.645089

An interprofessional education pilot program in maternity care: Findings from an exploratory case study of undergraduate students

2012· article· en· W2028686978 on OpenAlexaffabout
Filomena Meffe, Catherine Moravac, Sherry Espin

Bibliographic record

VenueJournal of Interprofessional Care · 2012
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsToronto Metropolitan UniversitySt. Michael's Hospital
Fundersnot available
KeywordsInterprofessional educationMaternity careNursingMedical educationExploratory researchQualitative researchPsychologyProgram evaluationMedicineHealth careSociology

Abstract

fetched live from OpenAlex

An interprofessional team of maternity care providers and academics developed a pilot interprofessional education (IPE) program in maternity care for undergraduate students in nursing, midwifery and medicine. There are few published studies examining IPE programs in maternity care, particularly at the undergraduate level, that examine long-term outcomes. This paper outlines findings from a case study that explored how participation in an IPE program in maternity care may enhance student knowledge, skills/attitudes, and may promote their collaborative behavior in the practice setting. The program was launched at a Canadian urban teaching hospital and consisted of six workshops and two clinical shadowing experiences. Twenty-five semi-structured, in-depth interviews were completed with nine participants at various time points up to 20 months post-program. Qualitative analysis of transcripts revealed the emergence of four themes: relationship-building, confident communication, willingness to collaborate and woman/family-centered care. Participant statements about their intentions to continue practicing interprofessional collaboration more than a year post-program lend support to its sustained effectiveness. The provision of a safe learning environment, the use of small group learning techniques with mixed teaching strategies, augmented by exposure to an interprofessional faculty, contributed to the program's perceived success.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.002
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 head0.045
GPT teacher head0.499
Teacher spread0.455 · 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 designObservational
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

Citations51
Published2012
Admission routes2
Has abstractyes

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