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Record W2007666088 · doi:10.2202/1548-923x.1741

Integrating Patient Decision Support in an Undergraduate Nursing Curriculum: An Implementation Project

2009· article· en· W2007666088 on OpenAlexaff
Dawn Stacey, Kathryn A. Smith Higuchi, Prudence Menard, Barbara Davies, Ian D. Graham, Annette M. O’Connor

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2009
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsOttawa HospitalCanadian Institutes of Health ResearchUniversity of Ottawa
Fundersnot available
KeywordsBlueprintCurriculumContext (archaeology)Medical educationCurriculum developmentDecision support systemMedicineNursingComputer scienceKnowledge managementPsychologyPedagogyEngineering

Abstract

fetched live from OpenAlex

A 4-year curriculum project (2004-2008) to integrate patient decision support into an existing curriculum was guided by the Knowledge-to-Action process model. The purpose of this project was to integrate a patient decision support theoretical framework and associated evidence-based resources throughout a four-year baccalaureate nursing curriculum. Interventions designed to adapt knowledge to local context and overcome barriers to knowledge use included faculty workshop to increase awareness, instructional resources designed for courses and core content, curricular blueprint of key threads to be included within courses, shared resources on the school of nursing internal website, and development of decision support resources in French. Curricular change and sustained use of knowledge was evidenced by repeated use of guest lecturers, assignments, and problem-based scenarios in courses, and students' evaluations on the tutorial and assignments.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.259
GPT teacher head0.584
Teacher spread0.325 · 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 designOther design
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

Citations39
Published2009
Admission routes1
Has abstractyes

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