{"title":"The Development, Implementation, and Evaluation of a Geriatric Disaster Nursing Simulation Intervention With Supportive Debriefing.","authors":"Joo-Young Jin, Yun-Jung Choi","doi":"10.1097/SIH.0000000000000780","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Geriatric disaster nursing simulation curriculum use scenarios with trauma-based topics that may contribute to lack of psychological safety in learners. This learning condition lowers students' self-efficacy, so supportive debriefing is needed to provide psychological safety for learners. The aims of this study are to develop and apply a geriatric disaster nursing simulation and to evaluate the effectiveness of a supportive debriefing model on psychological safety, learning self-efficacy, and counseling self-efficacy.</p><p><strong>Methods: </strong>A geriatric nursing simulation scenario, checklists, and a standardized patient were developed based on the Analysis-Design-Development-Implementation-Evaluation model. Nursing students were recruited as participants and randomly assigned to either the experimental group, conventional group, or control group. All 3 groups participated in the same geriatric disaster nursing simulation scenario, after which the experimental group used a supportive debriefing model-the SENSE (share-explore-notice-support-extend) model. The conventional group used a common debriefing model, the GAS (gathering-analyzing-summarizing) model, and the control group received simple comments with no debriefing model. The effects of the debriefing models on psychological safety, learning self-efficacy, and counseling self-efficacy were measured by self-report questionnaires. The aggregate scores of the measures were 222 for counseling self-efficacy, 70 for learning self-efficacy, and 50 for psychological safety. Higher scores within these measures corresponded to heightened capabilities.</p><p><strong>Results: </strong>The mean score of counseling self-efficacy in the SENSE model group was significantly increased after the simulation with the supportive debriefing from 142.80 ± 11.43 to 164.53 ± 15.48 ( Z = -3.411, P = 0.001). In addition, the SENSE model group and the GAS model group had significantly higher scores in counseling self-efficacy, learning self-efficacy, and psychological safety than those of the control group. However, the SENSE model group had a significantly higher score in psychological safety than that of the GAS model group.</p><p><strong>Conclusions: </strong>The SENSE debriefing model is recommended as a supportive debriefing model to foster students' psychological safety in disaster nursing simulations.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":"e84-e90"},"PeriodicalIF":1.7000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/SIH.0000000000000780","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/12 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Geriatric disaster nursing simulation curriculum use scenarios with trauma-based topics that may contribute to lack of psychological safety in learners. This learning condition lowers students' self-efficacy, so supportive debriefing is needed to provide psychological safety for learners. The aims of this study are to develop and apply a geriatric disaster nursing simulation and to evaluate the effectiveness of a supportive debriefing model on psychological safety, learning self-efficacy, and counseling self-efficacy.
Methods: A geriatric nursing simulation scenario, checklists, and a standardized patient were developed based on the Analysis-Design-Development-Implementation-Evaluation model. Nursing students were recruited as participants and randomly assigned to either the experimental group, conventional group, or control group. All 3 groups participated in the same geriatric disaster nursing simulation scenario, after which the experimental group used a supportive debriefing model-the SENSE (share-explore-notice-support-extend) model. The conventional group used a common debriefing model, the GAS (gathering-analyzing-summarizing) model, and the control group received simple comments with no debriefing model. The effects of the debriefing models on psychological safety, learning self-efficacy, and counseling self-efficacy were measured by self-report questionnaires. The aggregate scores of the measures were 222 for counseling self-efficacy, 70 for learning self-efficacy, and 50 for psychological safety. Higher scores within these measures corresponded to heightened capabilities.
Results: The mean score of counseling self-efficacy in the SENSE model group was significantly increased after the simulation with the supportive debriefing from 142.80 ± 11.43 to 164.53 ± 15.48 ( Z = -3.411, P = 0.001). In addition, the SENSE model group and the GAS model group had significantly higher scores in counseling self-efficacy, learning self-efficacy, and psychological safety than those of the control group. However, the SENSE model group had a significantly higher score in psychological safety than that of the GAS model group.
Conclusions: The SENSE debriefing model is recommended as a supportive debriefing model to foster students' psychological safety in disaster nursing simulations.
期刊介绍:
Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare is a multidisciplinary publication encompassing all areas of applications and research in healthcare simulation technology. The journal is relevant to a broad range of clinical and biomedical specialties, and publishes original basic, clinical, and translational research on these topics and more: Safety and quality-oriented training programs; Development of educational and competency assessment standards; Reports of experience in the use of simulation technology; Virtual reality; Epidemiologic modeling; Molecular, pharmacologic, and disease modeling.