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Record W2095051131 · doi:10.1186/1756-0500-6-251

Simulation-based learning combined with debriefing: trainers satisfaction with a new approach to training the trainers to teach neonatal resuscitation

2013· article· en· W2095051131 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMC Research Notes · 2013
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsRoyal Alexandra HospitalAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsDebriefingNeonatal resuscitationResuscitationTraining (meteorology)Simulation trainingMedicineMedical educationMedical emergencyEmergency medicineComputer scienceSimulation

Abstract

fetched live from OpenAlex

BACKGROUND: Prompt initiation of appropriate neonatal resuscitation skills is critical for the neonate experiencing difficulty transitioning to extra-uterine life. The use of simulation training is considered to be an indispensable tool to address these challenges. Research has yet to examine the effectiveness of simulation and debriefing for preparation of trainers to train others on the use of simulation and debriefing for neonatal resuscitation. This study determines the degree to which experienced NRP instructors or instructor trainers perceived simulation in combination with debriefing to be effective in preparing them to teach simulation to other health care professionals. METHODS: Participants' perceptions of knowledge, skills, and confidence gained following a neonatal resuscitation workshop (lectures; scenario development and enactment; video recording and playback; and debriefing) were determined using a pre-post test questionnaire design. Questionnaire scores were subjected to factor and reliability analyses as well as pre- and post-test comparisons. RESULTS: A total of 17 participants completed 2 questionnaires. Principal component extraction of 18 items on the pre-test questionnaire resulted in 5 factors: teamwork, ability to run a simulation, skills for simulation, recognizing cues for simulation and ability to debrief. Both questionnaire scores showed good reliability (α: 0.83 - 0.97) and factorial validity. Pre- and post-test comparisons showed significant improvements in participants' perceptions of their ability to: conduct (as an instructor) a simulation (p < .05, η² .47); participate in a simulation (p < .05, η² .45); recognize cues (p < .05, η² .35); and debrief (p < .05, η² .41). CONCLUSIONS: Simulation training increased participants' perceptions of their knowledge, skills, and confidence to train others in neonatal resuscitation.

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.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.212
GPT teacher head0.425
Teacher spread0.213 · 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