MétaCan
Menu
Back to cohort
Record W2113011883 · doi:10.3109/0142159x.2010.530703

Student perspectives on patient educators as facilitators of interprofessional education

2011· article· en· W2113011883 on OpenAlexaff
Patricia Solomon

Bibliographic record

VenueMedical Teacher · 2011
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsInterprofessional educationMedical educationMedicinePsychologyMEDLINENursingHealth carePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: There has been increasing interest in the active involvement of patients in the education of health professionals. Few have examined the potential role of patient educators in the facilitation of interprofessional education (IPE). AIM: This qualitative program evaluation examined students' perceptions of their learning in a patient-facilitated IPE event. METHODS: One hundred and forty two students from physiotherapy, occupational therapy, medicine, and nursing participated in a 2.5-h session in which they interviewed patient educators living with a variety of chronic illnesses about their experiences. Patient educators participated in a 3-h training session prior to the event. RESULTS: Content analyses of six focus group transcripts (n = 27) and critical incident questionnaires (n = 138) revealed that students felt this was a positive experience, recognized the importance of advocating for their professional role, and valued the interprofessional learning. Students also valued participation from a variety of health professions and felt that IPE should be mandatory for all. CONCLUSION: Results suggest that trained patient educators can effectively facilitate interprofessional interactions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0630.001

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 head0.031
GPT teacher head0.454
Teacher spread0.423 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations41
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueMedical TeacherSame topicInterprofessional Education and CollaborationFrench-language works237,207