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Record W2762916880 · doi:10.1093/pch/19.6.e35-149

152: Impact of Video-Debriefing Following Simulated Neonatal Resuscitation in Inter-Professional Teams

2014· article· en· W2762916880 on OpenAlexaff
DM Campbell, Emer Finan

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsDebriefingNeonatal resuscitationMedicineResuscitationSession (web analytics)Intervention (counseling)Medical educationNursingPsychologyEmergency medicine

Abstract

fetched live from OpenAlex

Simulation and debriefing are increasingly used for both technical and non-technical skills training. Recent national and international guidelines recommend the use of simulation and video-debriefing for neonatal resuscitation training. The use of simulation and video-debriefing create significant challenges for educators in the delivery of standardized programs such as the neonatal resuscitation program (NRP). The effectiveness of this educational strategy remains unclear. To examine the effectiveness of video- debriefing on the performance and beliefs of inter-professional teams following simulated neonatal training sessions. This REB-approved prospective study examined the role of video-debriefing in improving neonatal resuscitation performance amongst neonatal teams in both technical and non-technical skills. Teams included one of: respiratory therapists (RT), neonatal nurse and senior paediatric residents. Two standardized simulated neonatal resuscitation scenarios were offered using a high-fidelity simulation environment. Neonatal teams were randomly allocated to receive video-debriefing or no debriefing after the initial simulated neonatal resuscitation and invited for a subsequent session four to eight weeks later. Participants were assessed for NRP team performance by reviewers blinded to the intervention. Attitudes and beliefs of participants were collected regarding the use of debriefing for resuscitation and team behavioural skills. A total of 25 study teams were recruited comprising 75 participants. Seventeen groups have returned to complete the study. The majority of participants (53%) had attended less than five simulations in the past. Of those who had previously attended, the vast majority had never been exposed to video-debriefing as part of their education. There were no significant differences in NRP performance (time to intubation and NRP score) between groups. In general, adherence to NRP guidelines was poor. Virtually all participants agreed that both the simulation and debriefing components resulted in improved learning in both technical and team behavioural skills. A greater number of participants strongly agreed that the simulation session assisted their acquisition of team behavioural skills (P=0.006). In this study, the use of video-debriefing Inter-professional teams of simulated neonatal resuscitations did not result in significant improvement in subsequent simulated NRP performance. Team members believed the use of both simulation and debriefing resulted in enhanced acquisition of team behavioural skills in particular. The role of inter-professional team training using video-debriefing in this setting requires further study.

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)0.004
metaresearch head score (Gemma)0.024
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.024
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 science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.015
GPT teacher head0.364
Teacher spread0.348 · 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".

Quick stats

Citations4
Published2014
Admission routes1
Has abstractyes

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