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Record W6922096478 · doi:10.11575/prism/45124

Advanced neonatal procedural skills: a simulation-based workshop: impact and skill decay

2023· other· en· W6922096478 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary · 2023
Typeother
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsProcedural knowledgeDefibrillationCognitionClinical PracticeDreyfus model of skill acquisitionCompetence (human resources)Cognitive skill

Abstract

fetched live from OpenAlex

Abstract Background Trainees aiming to specialize in Neonatal Perinatal Medicine (NPM), must be competent in a wide range of procedural skills as per the Royal College of Canada. While common neonatal procedures are frequent in daily clinical practice with opportunity to acquire competence, there are substantial gaps in the acquisition of advanced neonatal procedural skills. With the advent of competency by design into NPM training, simulation offers a unique opportunity to acquire, practice and teach potentially life-saving procedural skills. Little is known on the effect of simulation training on different areas of competence, and on skill decay. Methods We designed a unique simulation-based 4-h workshop covering 6 advanced procedures chosen because of their rarity yet life-saving effect: chest tube insertion, defibrillation, exchange transfusion, intra-osseus (IO) access, ultrasound-guided paracentesis and pericardiocentesis. Direct observation of procedural skills (DOPS), self-perceived competence, comfort level and cognitive knowledge were measured before (1), directly after (2), for the same participants after 9–12 months (skill decay, 3), and directly after a second workshop (4) in a group of NPM and senior general pediatric volunteers. Results The DOPS for all six procedures combined for 23 participants increased from 3.83 to 4.59. Steepest DOPS increase pre versus post first workshop were seen for Defibrillation and chest tube insertion. Skill decay was evident for all procedures with largest decrease for Exchange Transfusion, followed by Pericardiocentesis, Defibrillation and Chest Tube. Self-perceived competence, comfort and cognitive knowledge increased for all six procedures over the four time points. Exchange Transfusion stood out without DOPS increase, largest skill decay and minimal impact on self-assessed competence and comfort. All skills were judged as better by the preceptor, compared to self-assessments. Conclusions The simulation-based intervention advanced procedural skills day increased preceptor-assessed directly observed procedural skills for all skills examined, except exchange transfusion. Skill decay affected these skills after 9–12 months. Chest tube insertions and Defibrillations may benefit from reminder sessions, Pericardiocentesis may suffice by teaching once. Trainees’ observed skills were better than their own assessment. The effect of a booster session was less than the first intervention, but the final scores were higher than pre-intervention. Trial Registration Not applicable, not a health care intervention.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.211
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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