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Record W2082837490 · doi:10.3109/13561820.2014.984018

The development and implementation of an inter-professional simulation based pediatric acute care curriculum for ward health care providers

2014· article· en· W2082837490 on OpenAlexaff
Afrothite Kotsakis, Karen Mercer, Hadi Mohseni-Bod, Rose Gaiteiro, Rachel Agbeko

Bibliographic record

VenueJournal of Interprofessional Care · 2014
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsSickKids Foundation
Fundersnot available
KeywordsLikert scaleTeamworkCurriculumNursingHealth careAcute careMedical educationMedicineScale (ratio)Communication skillsPsychologyPedagogy

Abstract

fetched live from OpenAlex

An interprofessional, simulation based, acute care course for ward health care providers was developed and implemented with the objectives of teaching identification of deteriorating patients, practicing crisis resource management and basic life support skills, and using the SBAR (Situation Background Assessment Recommendation) communication tool. Thirty-eight physicians and 51 nurses attended the four separate courses. Nine questions on a 5-point Likert scale and two open-ended questions revealed that over 95% of respondents strongly agreed/agreed that facilitators encouraged active participation, lectures were presented in an interesting manner, and that simulations were useful for practical skills and for practicing communication. Open-ended questions revealed that participants felt more confident, understood the importance of communication, roles, teamwork and valued the day. Based on this evaluation, the program was regarded as feasible and acceptable to all health care providers.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.462
Teacher spread0.446 · 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 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

Citations15
Published2014
Admission routes1
Has abstractyes

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