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The Effect of Preparation on Anxiety and Performance in Summative Simulations

Published:September 14, 2011DOI:https://doi.org/10.1016/j.ecns.2011.07.004

      Abstract

      Background

      Historically, studies that looked at how anxiety affects simulation performance have not included information about how students were prepared for those experiences. There is little research into best practices for preparing nursing students for evaluative simulation experiences. The purpose of this study was to examine how preparation for simulation affects anxiety and how anxiety affects simulation performance.

      Method

      Thirty-nine student nurses were alternately assigned to experimental and control groups. Both groups received the Spielberger State-Trait Anxiety Inventory before and after evaluative simulations. The experimental group received an additional supervised simulation practice with focused debriefing. The groups were compared to determine differences.

      Results

      No significant differences were found between experimental and control groups' trait anxiety scores at the time of enrollment, nor were there differences found between groups on state anxiety scores either at enrollment or during the period around the summative evaluations.

      Conclusions

      This study provides evidence about what is helpful and necessary to ensure that students are adequately prepared for evaluative scenarios.

      KeyWords

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      References

        • Arwood E.
        • Kaakinen J.
        Simulation based on language and learning (SIMBaLL): The model.
        International Journal of Nursing Scholarship. 2009; 6 (Article 9. doi:)
        • Arwood E.
        • Kaakinen J.
        • Wynne A.
        Nurse educators: Using visual language: “learning to see.”.
        Apricot, Tigard, OR2002
        • Benner P.
        From novice to expert: Excellence and power in clinical nursing practice.
        Addison-Wesley, Menlo Park, CA1984
        • Benner P.
        • Tanner C.
        • Chesla S.
        From beginner to expert: Gaining a differentiated clinical world in critical care nursing.
        Advances in Nursing Science. 1992; 14: 13-28
        • Beyea S.C.
        • Von Reyn L.
        • Slattery M.J.
        A nurse residency program for competency development using human patient simulation.
        Journal for Nurses in Staff Development. 2007; 23: 77-82https://doi.org/10.1097/01.NND.0000266613.16434.05
        • Bloom B.S.
        • Englehart M.D.
        • Furst E.J.
        • Hill W.H.
        • Krathwohl D.R.
        Taxonomy of educational objectives: The classification of educational goals. Handbook I: The cognitive domain.
        Longman, New York, NY1956
        • Bong C.L.
        • Lightdale J.R.
        • Fredette M.E.
        • Weinstock P.
        Effects of simulation versus traditional tutorial-based training on physiologic stress levels among clinicians: A pilot study.
        Simulation in Healthcare. 2010; 5: 272-278https://doi.org/10.1097/SIH.0b013e3181e98b29
        • Boulet J.R.
        • Murray D.J.
        Simulation-based assessment in anesthesiology.
        Anesthesiology. 2010; 112: 1041-1052https://doi.org/10.1097/ALN.0b013e3181cea265
        • Boulet J.R.
        • Smee S.M.
        • Dillon G.F.
        • Gimpel J.R.
        The use of standardized patient assessments for certification and licensure decisions.
        Simulation in Healthcare. 2009; 4: 35-42https://doi.org/10.1097/SIH.0b013e318182fc6c
        • Boulet J.R.
        • Swanson D.B.
        Psychometric challenges of using simulation for high-stakes assessment.
        in: Dunn W.F. Simulators in critical care and beyond. Society for Critical Care Medicine, Mount Prospect, IL2004
        • Bryson E.O.
        • Levine A.I.
        The simulation theater: A theoretical discussion of concepts and constructs that enhance learning.
        Journal of Critical Care. 2008; 23: 185-187https://doi.org/10.1016/j.jcrc.2007.12.003
        • Clark M.
        Evaluating an obstetrical trauma scenario [Electronic version].
        Clinical Simulation in Nursing Education. 2006; 2: e75-e77
        • Dobson J.L.
        The use of formative online quizzes to enhance class preparation and scores on summative exams.
        Advances in Physiology Education. 2008; 32: 297-302https://doi.org/10.1152/advan.90162.2008
        • Ericsson K.A.
        Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains.
        Academic Medicine. 2004; 79: S70-S81
        • Eysenck M.
        • Derakshan N.
        • Santos R.
        • Calvo M.
        Anxiety and cognitive performance: Attentional control theory.
        Emotion. 2007; 7: 336-353https://doi.org/10.1037/1528-3542.7.2.336
        • Gaba D.
        The future vision of simulation in healthcare.
        Quality and Safety in Healthcare. 2004; 13: i2-i10https://doi.org/10.1136/qshc.2004.009878
        • Hargreaves L.
        • Nichols A.
        • Shanks S.
        • Halamak L.P.
        A handoff report card for general nursing orientation.
        Journal of Nursing Administration. 2010; 40: 424-431https://doi.org/10.1097/NNA.0b013e3181f2eb74
        • Hoffman R.I.
        • O'Donnell J.M.
        • Kim Y.
        The effects of human patient simulators on basic knowledge in critical care nursing with undergraduate senior baccalaureate nursing students.
        Simulation in Healthcare. 2007; 2: 110-114https://doi.org/10.1097/SIH.0b013e318033abb5
        • Hotchkiss M.A.
        • Biddle C.
        • Fallacaro M.
        Assessing the authenticity of the human simulation experience in anesthesiology.
        American Association of Nurse Anesthetists Journal. 2002; 70: 110-115
        • Kardong-Edgren S.
        • Hanberg A.D.
        • Keenan C.
        • Ackerman A.
        • Chambers K.
        A discussion of high-stakes testing: An extension of a 2009 INACSL roundtable.
        Clinical Simulation in Nursing. 2011; 7: e19-e24https://doi.org/10.1016/j.ecns.2010.02.002
        • Keeley J.
        • Zayac R.
        • Correia C.
        Curvilnear relationships between statistics anxiety and performance among undergraduate students: Evidence for optimal anxiety.
        Statistics Education Research Journal. 2008; 7: 4-15
        • Landry M.
        • Oberleitner M.G.
        • Landry H.
        • Borazjani J.G.
        Education and practice collaboration using simulation and virtual reality technology to assess continuing nurse competency in the long-term acute care setting.
        Journal for Nurses in Staff Development. 2006; 22: 163-169
        • Lasater K.
        High-fidelity simulation and the development of clinical judgment: Student experiences.
        Journal of Nursing Education. 2007; 46: 269-275
        • Leigh G.T.
        High-fidelity patient simulation and nursing students' self-efficacy: A review of the literature.
        International Journal of Nursing Scholarship. 2008; 5 (Article 37. doi:)
        • McDowell I.
        Measuring health: A guide to rating scales and questionnaires.
        3rd ed. Oxford University Press US, New York, NY2006
        • Newmark C.S.
        Stability of state and trait anxiety.
        Psychological Reports. 1972; 30: 196-198
        • Price J.W.
        • Price J.R.
        • Pratt D.D.
        • Collins J.B.
        • McDonald J.
        High-fidelity simulation in anesthesiology training: A survey of Canadian residents' simulator experience.
        Canadian Journal of Anesthesiology. 2010; 57: 134-142https://doi.org/10.1007/s12630-009-9224-5
        • Rhodes M.L.
        • Curran C.
        Use of the human patient simulator to teach clinical judgment skills in a baccalaureate nursing program.
        CIN: Computers, Informatics, Nursing. 2005; 23: 256-264
        • Schartel S.A.
        Evaluation: Measuring performance, ensuring competence, achieving long-term excellence (editorial).
        Anesthesiology. 2010; 112: 519-520https://doi.org/10.1097/ALN.0b013e3181c92262
        • Simon R.
        • Rudolph J.W.
        • Raemer D.B.
        Debriefing assessment for simulation in healthcare—Rater version.
        Center for Medical Simulation, Cambridge, MA2009
        • Spielberger C.D.
        Manual for the state-trait anxiety inventory (Form Y).
        Consulting Psychologists Press, Palo Alto, CA1983
        • Stevens D.D.
        • Levi A.J.
        Introduction to rubrics.
        Stylus, Sterling, VA2005
      1. Szarek, J. L. (2010). Students experience positive emotions more frequently than negative emotions during simulations: Contributions to learning. Poster presented at the International Meeting on Simulation in Healthcare, Phoenix, AZ.