In situ simulation and its different applications in healthcare: an integrative review
Bibliographic record
Abstract
Abstract Introduction: The in situ simulation (ISS) consists of a training technique that takes place in the real workplace as a relevant method to promote environmental fidelity in the simulated scenario. Objective: To verify the use of the ISS in the world, to understand its applicability in healthcare. Method: This is an integrative review, which used the following guiding question: How has in situ simulation been used by health professionals? Searches were carried out in the PubMed, SciELO, LILACS and Web of Science databases, with different combinations of the following descriptors: in situ simulation, health and medicine (in Portuguese, English and Spanish) and the Boolean operators AND and OR using a temporal filter from 2012 to 2021. A total of 358 articles were found and the inclusion and exclusion criteria were applied, following the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), and also with an independent peer review, using Rayyan, leaving 190 articles for this review. Results: The results showed that the United States has the absolute majority of productions (97/51%), followed by Canada, but with a large numerical difference (18/9.5%). Most of the works are written in English (184/96.8%), are quasi-experimental studies (97/51%), and have multidisciplinary teams as the target audience (155/81.6%). The articles have 11,315 participants and 2,268 simulation interventions. The main ISS scenarios were the urgent and emergency sectors (114/60%), followed by the ICU (17/9%), delivery room (16/8.42%) and surgical center (13/6.84%). The most frequently studied topics were CPR (27/14.21%), COVID-19 (21/11%), childbirth complications (13/6.8%) and trauma (11/5.8%). Discussion: The pointed-out advantages include the opportunity for professional updating with the acquisition of knowledge, skills and competencies, in an environment close to the real thing and at low cost, as it does not depend on expensive simulation centers. Conclusion: In situ simulation has been used by health professionals worldwide, as a health education strategy, with good results for learning and training at different moments of professional training, with improved care and low cost. There is still much to expand in relation to the use of ISS, especially in Brazil, in the publication of studies and experience reports on this approach.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".