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Record W2417786611 · doi:10.1097/ceh.0000000000000065

Building and Participating in a Simulation: Exploring a Continuing Education Intervention Designed to Foster Reflective Practice Among Experienced Clinicians

2016· article· en· W2417786611 on OpenAlexaff
Mohammad Zubairi, Sally Lindsay, Kathryn Parker, Anne Kawamura

Bibliographic record

VenueJournal of Continuing Education in the Health Professions · 2016
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsHolland Bloorview Kids Rehabilitation Hospital
Fundersnot available
KeywordsFacilitatorThematic analysisIntervention (counseling)Medical educationFocus groupQualitative researchAction researchPsychologyNursingMedicineReflective practicePedagogy

Abstract

fetched live from OpenAlex

INTRODUCTION: Engaging health professionals in the processes of first building and then participating in simulations has not yet been explored. This qualitative study explored the experience of building and participating in a simulation as an educational intervention with experienced clinicians. METHODS: Pediatric rehabilitation clinicians, along with a patient facilitator and standardized patients, created simulations and subsequently participated in a live simulation. The educational content of the simulation was culturally sensitive communication. We collected participants' perspectives about the process from individual journal entries and focus groups. A thematic analysis of these data sources was conducted. RESULTS: Participants described a process of building and participating in a simulation that provided: 1) a unique opportunity for clinicians to reflect on their current practice; 2) a venue to identify different perspectives through discussion and action in a group; and 3) a safe environment for learning. DISCUSSION: The combined process of building and participating in a simulation stimulated reflection about the clinicians' own abilities in culturally sensitive communication through discussion, practice, and feedback. It provided a safe environment for participants to share their multiple perspectives and to develop new ways of communicating. This type of educational intervention may contribute to the continuing education of experienced clinicians in both academic and community settings.

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)0.005
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.139
GPT teacher head0.529
Teacher spread0.389 · 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 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

Citations21
Published2016
Admission routes1
Has abstractyes

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