{"title":"A19 Identification of clinical reasoning models commonly used in simulation-based education","authors":"Emad Almomani, Jacqueline Sullivan, Natalie Pattison, Guillaume Alinier","doi":"10.54531/hbed6197","DOIUrl":null,"url":null,"abstract":"Simulation can immerse learners in scenarios that mimic clinical situations, simultaneously mitigating safety risks and increasing standardization in healthcare education [1]. Through simulation, learners can get the chance to develop clinical reasoning with focused learning opportunities [2]. Clinical reasoning is multidimensional in nature, and underdeveloped clinical reasoning skills and the risk of cognitive overload can potentially threaten patient safety and delay care, so it is important to systematize, optimize and structure clinical reasoning for simulation-based education [3]. That can be achieved through using valid clinical reasoning models but with careful consideration to the contributing and influencing factors of case complexity, staff seniority, competence, scope of practice, specialty and subspecialty. A scoping review was undertaken to answer the questions: what are the best available valid and reliable clinical reasoning models for simulation-based education? We searched Medline, Scopus, Education Research Complete and Google Scholar to identify relevant recent primary research conducted on this topic from 2000 onwards. The search included MeSH topics of ‘Clinical reasoning’, ‘Simulation-based education’ and ‘Clinical Reasoning models’. The inclusion criteria were primary studies describing the clinical reasoning models developed for simulation-based courses. Two independent researchers agreed on the inclusion of the identified articles for full-text review. This review followed the review guidelines of Joanne Briggs Institute. Five valid and reliable models to structure the clinical reasoning process while attending simulation-based training were identified and are reported in Identified clinical reasoning models based on the scoping review There is an adequate number of clinical reasoning models to be used while taking part in simulation-based training; however, there is a significant basis to test the reliability and validity of these models against different competence and seniority levels, and applicability to other healthcare professions. The authors are presently working on the development of a new model using an innovative and rigorous approach. Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable.","PeriodicalId":93766,"journal":{"name":"International journal of healthcare simulation : advances in theory and practice","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of healthcare simulation : advances in theory and practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54531/hbed6197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Simulation can immerse learners in scenarios that mimic clinical situations, simultaneously mitigating safety risks and increasing standardization in healthcare education [1]. Through simulation, learners can get the chance to develop clinical reasoning with focused learning opportunities [2]. Clinical reasoning is multidimensional in nature, and underdeveloped clinical reasoning skills and the risk of cognitive overload can potentially threaten patient safety and delay care, so it is important to systematize, optimize and structure clinical reasoning for simulation-based education [3]. That can be achieved through using valid clinical reasoning models but with careful consideration to the contributing and influencing factors of case complexity, staff seniority, competence, scope of practice, specialty and subspecialty. A scoping review was undertaken to answer the questions: what are the best available valid and reliable clinical reasoning models for simulation-based education? We searched Medline, Scopus, Education Research Complete and Google Scholar to identify relevant recent primary research conducted on this topic from 2000 onwards. The search included MeSH topics of ‘Clinical reasoning’, ‘Simulation-based education’ and ‘Clinical Reasoning models’. The inclusion criteria were primary studies describing the clinical reasoning models developed for simulation-based courses. Two independent researchers agreed on the inclusion of the identified articles for full-text review. This review followed the review guidelines of Joanne Briggs Institute. Five valid and reliable models to structure the clinical reasoning process while attending simulation-based training were identified and are reported in Identified clinical reasoning models based on the scoping review There is an adequate number of clinical reasoning models to be used while taking part in simulation-based training; however, there is a significant basis to test the reliability and validity of these models against different competence and seniority levels, and applicability to other healthcare professions. The authors are presently working on the development of a new model using an innovative and rigorous approach. Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable.