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Transforming the delivery of care from “I” to “We” by developing the crisis resource management skills in pediatric interprofessional teams to handle common emergencies through simulation

2024· other· en· W6958754809 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsTeamworkCrisis managementHealth careIntervention (counseling)Crisis interventionPatient satisfactionScale (ratio)PerceptionTriage

Abstract

fetched live from OpenAlex

Abstract Background The healthcare system is highly complex, and adverse events often result from a combination of human factors and system failures, especially in crisis situations. Crisis resource management skills are crucial to optimize team performance and patient outcomes in such situations. Simulation-based training offers a promising approach to developing such skills in a controlled and realistic environment. Methods This study employed a mixed-methods (quantitative-qualitative) design and aimed to assess the effectiveness of a simulation-based training workshop in developing crisis resource management skills in pediatric interprofessional teams at a tertiary care hospital. The effectiveness of the intervention was evaluated using Kirkpatrick’s Model, focusing on reaction and learning levels, employing the Collaboration and Satisfaction about Care Decisions scale, Clinical Teamwork Scale, and Ottawa Global Rating Scale for pre- and post-intervention assessments. Focused group discussions were conducted with the participants to explore their experiences and perceptions of the training. Results Thirty-nine participants, including medical students, nurses, and residents, participated in the study. Compared to the participants’ pre-workshop performance, significant improvements were observed across all measured teamwork and performance components after the workshop, including improvement in scores in team communication (3.16 ± 1.20 to 7.61 ± 1.0, p < 0.001), decision-making (3.50 ± 1.54 to 7.16 ± 1.42, p < 0.001), leadership skills (2.50 ± 1.04 to 5.44 ± 0.6, p < 0.001), and situation awareness (2.61 ± 1.13 to 5.22 ± 0.80, p < 0.001). No significant variations were observed post-intervention among the different teams. Additionally, participants reported high levels of satisfaction, perceived the training to be highly valuable in improving their crisis resource management skills, and emphasized the importance of role allocation and debriefing. Conclusions The study underscores the effectiveness of simulation-based training in developing crisis resource management skills in pediatric interprofessional teams. The findings suggest that such training can impact learning transfer to the workplace and ultimately improve patient outcomes. The insights from our study offer additional valuable considerations for the ongoing refinement of simulation-based training programs. There is a need to develop more comprehensive clinical skills evaluation methods to better assess the transferability of these skills in real-world settings. The potential challenges unveiled in our study, such as physical exhaustion during training, must be considered when refining and designing such interventions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.718
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0770.002

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 head0.011
GPT teacher head0.277
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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