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Record W2112827949 · doi:10.1080/13561820802013115

Interprofessional continuing health education for diabetic patients in an urban underserved community

2008· article· en· W2112827949 on OpenAlexaffabout
Penny Davis, Jody Clackson, Carol J. Henry, Joan P. Bobyn, Linda G. Suveges

Bibliographic record

VenueJournal of Interprofessional Care · 2008
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsInterprofessional educationMedicineMedical educationNursingFamily medicineHealth careGerontologyPolitical science

Abstract

fetched live from OpenAlex

The CPD(iQ) Saskatchewan Project (ICEC(4)) is directed by the Inter-Professional Continuing Education for Collaborative Client Centered Care Committee, representing the disciplines of medicine, nursing, physical therapy, pharmacy, kinesiology and dentistry at the University of Saskatchewan. It was designed to serve two target audiences: the urban underserved community that would access services at the West Winds Primary Care Centre; and health professionals at the West Winds who would deliver educational modules to those in need. The main objectives were to identify the learning needs of health professionals related to working collaboratively in urban underserved community settings; identify and develop relevant educational modules to address needs identified, implement the program, and evaluate participants' experience with the educational modules. Evaluation consisted of debriefing after each educational session and the completion of a self administered questionnaire. Findings from this pilot study. The results of the study suggest the modules as a useful approach to addressing some of the barriers to effective inter-professional collaborative care. Common themes from the evaluation included satisfaction with learning other professionals' contributions to patient care. The module format may serve useful in an inter-professional case-based clinical educational setting.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.356
GPT teacher head0.616
Teacher spread0.261 · 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

Citations9
Published2008
Admission routes2
Has abstractyes

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