The effect of multiple exposures in scenario-based simulation-A mixed study systematic review

被引:26
|
作者
Svellingen, Alette H. [1 ,2 ]
Sovik, Margrethe B. [2 ]
Roykenes, Kari [2 ]
Brattebo, Guttorm [3 ,4 ]
机构
[1] VID Specialized Univ, Ctr Diaconia & Profess Practice, Oslo, Norway
[2] VID Specialized Univ, Fac Hlth Studies, Bergen, Norway
[3] Haukeland Hosp, Dept Anaesthesia & Intens Care, Bergen, Norway
[4] Univ Bergen, Dept Clin Med, Bergen, Norway
来源
NURSING OPEN | 2021年 / 8卷 / 01期
关键词
clinical competence; education; learning; mixed study systematic review; multiple simulation; nursing students; scenario-based simulation; NURSING-STUDENTS; CLINICAL COMPETENCE; PATIENT SIMULATION; SELF-CONFIDENCE; EXPERIENCES; EDUCATION; PERFORMANCE; KNOWLEDGE; SEQUENCE; IMPACT;
D O I
10.1002/nop2.639
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Aims To examine the use and effects of multiple simulations in nursing education. Design A mixed study systematic review. Databases (CINAHL, Medline, PubMed, EMBASE, ERIC, Education source and Science Direct) were searched for studies published until April 2020. Method Researchers analysed the articles. Bias risk was evaluated using the Critical Appraisal Skills Programme and Cochrane Risk of Bias tool. Results In total, 27 studies were included and four themes identified. Students participated in multiple simulation sessions, over weeks to years, which included 1-4 scenarios in various nursing contexts. Simulations were used to prepare for, or partly replace, students' clinical practice. Learning was described in terms of knowledge, competence and confidence. Conclusion Multiple scenario-based simulation is a positive intervention that can be implemented in various courses during every academic year to promote nursing students' learning. Further longitudinal research is required, including randomized studies, with transparency regarding study design and instruments.
引用
收藏
页码:380 / 394
页数:15
相关论文
共 50 条
  • [21] Quantitative scenario-based simulation of global business models for manufacturers
    Komoto, Hitoshi
    Masui, Keijiro
    Tomiyama, Tetsuo
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2013, 62 (01) : 163 - 166
  • [22] Presence with Scenario-Based High Fidelity Human Patient Simulation
    Dunnington, Renee M.
    NURSING SCIENCE QUARTERLY, 2014, 27 (02) : 157 - 164
  • [23] A Scenario-based Approach; Assuring Effect of Software Product
    Kakimoto, Kazuki
    Umeda, Hiroki
    Sogawa, Kazuhiro
    Ueda, Yasushi
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES-2018), 2018, 126 : 646 - 655
  • [24] The effect of scenario-based interactive videos on English learning
    Taslibeyaz, Elif
    INTERACTIVE LEARNING ENVIRONMENTS, 2020, 28 (07) : 808 - 820
  • [25] Scenario-based simulation training as a method to increase nursing students' competence in demanding situations in dementia care. A mixed method study
    Haugland, V. L.
    Reime, M. H.
    NURSE EDUCATION IN PRACTICE, 2018, 33 : 164 - 171
  • [26] Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance
    Sun, Jian
    Zhang, He
    Zhou, Huajun
    Yu, Rongjie
    Tian, Ye
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) : 14088 - 14103
  • [27] Scenario-Based Accelerated Testing for SOTIF in Autonomous Driving: A Review
    Tang, Lei
    Wang, Ruijie
    Liu, Zhanwen
    Liang, Yunji
    Niu, Yuanyuan
    Zhu, Wei
    Duan, Zongtao
    IEEE INTERNET OF THINGS JOURNAL, 2025, 12 (02): : 1453 - 1470
  • [28] Review of Scenario-based Virtual Validation Methods for Automated Vehicles
    Zhu B.
    Zhang P.-X.
    Zhao J.
    Chen H.
    Xu Z.-G.
    Zhao X.-M.
    Deng W.-W.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2019, 32 (06): : 1 - 19
  • [29] A scenario-based review of IPv6 transition tools
    Mackay, M
    Edwards, C
    Dunmore, M
    Chown, T
    Carvalho, G
    IEEE INTERNET COMPUTING, 2003, 7 (03) : 27 - 35
  • [30] Using the Wizard of Oz technique to prototype a scenario-based simulation tutor
    Kemp, RH
    ARTIFICIAL INTELLIGENCE IN EDUCATION: KNOWLEDGE AND MEDIA IN LEARNING SYSTEMS, 1997, 39 : 458 - 465