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Record W4361208074 · doi:10.29390/cjrt-2022-060

Effects of simulation-based cardiopulmonary and respiratory case training experiences on interprofessional teamwork: A systematic review

2023· review· en· W4361208074 on OpenAlexaffvenue
Brendan O'Brien, Keslyn Bevan, Carly Brockington, James Murphy, Robert Gilbert

Bibliographic record

VenueCanadian Journal of Respiratory Therapy · 2023
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsThe Audio Recording AcademyIsland HealthNova Scotia Health AuthorityDalhousie University
Fundersnot available
KeywordsTeamworkCINAHLBlindingObservational studyCritical appraisalInclusion (mineral)MedicineHealth careSystematic reviewMEDLINEMedical educationGuidelinePsychologyNursingPsychological interventionRandomized controlled trialAlternative medicineSurgerySocial psychology

Abstract

fetched live from OpenAlex

Objective: Simulation exercises are meant to provide an opportunity for health care workers to improve teamwork and develop clinical skills, among other goals. The objective of this systematic review was to determine whether simulated interdisciplinary activities in the health care or clinical setting improve interprofessional collaboration within health care teams that include respiratory therapists. Methods: A systematic literature search of PubMed, EMBASE and CINAHL was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline to find relevant articles using both MeSH terms and free text. Filters were applied to include English-language studies; studies published within the last 10 years (2011-2021), and studies involving human participants. Studies were excluded if they did not assess the effects of simulation on aspects of teamwork, if participants were students, if teams did not include respiratory therapists, or if the training did not involve a simulated experience in a clinical setting. The search identified 312 articles, 75 of which were advanced to full-text review. Of those 75 articles, 62 were eliminated for not measuring teamwork in their outcomes. Two articles were excluded for being published before 2011, and one was eliminated for poor methodological quality. A risk of bias assessment using standardized qualitative and quantitative appraisal checklists was conducted on each of the remaining 10 studies selected for inclusion. Results: A total of 10 studies met the inclusion criteria for this review (eight prospective, pre/post-test studies and two prospective observational studies). Randomization and participant/researcher blinding were not present in the majority of the studies and reporting bias was also found to be a concern throughout the literature. However, all of the studies noted increased teamwork scores post-intervention, though they differed in the tools used to evaluate this outcome. Discussion: Collectively, the studies included in this review demonstrate that interprofessional simulation experiences including respiratory therapists enhance teamwork. The various tools used to assess change in teamwork had evidence of validity; however, studies varied in their outcomes measured, making quantitative analysis inappropriate. There are challenges involved in creating and assessing these simulations, particularly when performed within a clinical environment, which make it difficult to fully remove bias from the study design. It is unclear if the teamwork improvement can strictly be attributed to the simulation intervention or in part due to the general development of team members' competencies throughout the research period. Additionally, the permanency of the effects cannot be evaluated based on the studies included and could be an area for future research. Conclusion: Despite the limited number and methodological precision of studies included in this review along with the differing outcome evaluation methods, the authors conclude that positive teamwork improvement results are generalizable and agree with the broader base of research of the effectiveness of simulation on teambuilding.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.143
GPT teacher head0.478
Teacher spread0.335 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations12
Published2023
Admission routes2
Has abstractyes

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