The development and psychometric testing of the Satisfaction with Simulation Experience Scale.

AIM This paper reports the development and psychometric testing of the Satisfaction with Simulation Experience Scale, an instrument designed to measure and compare differences in satisfaction levels between nursing students exposed to medium and high fidelity human patient simulation manikins. BACKGROUND Student satisfaction is important to engaged and meaningful learning and it facilitates active and purposeful participation in simulation experiences. There are suggestions that student satisfaction may have some correlation with performance. Few studies have explored in a rigorous way the impact of manikin fidelity on nursing students' satisfaction with simulation experiences. METHOD The items for the Satisfaction with Simulation Experience Scale were identified following a critical review of the literature. Content validly was established by use of an expert panel. During 2009 and 2010 the instrument was tested with second year (n=268) and third year nursing students (n=76) from one Australian university. Exploratory factor analysis with varimax rotation was used to determine construct validity and Cronbach's coefficient alpha determined the scale's internal consistency reliability. Differences in satisfaction levels between groups were analysed using an independent t test. Responses to an open ended question were categorised using thematic content analysis. RESULTS The scale demonstrated satisfactory internal consistency (alpha 0.77). Exploratory factor analysis yielded a three-component structure termed Debriefing and Reflection, Clinical Reasoning, and Clinical Learning; each subscale demonstrated high internal consistency: 0.94; 0.86; 0.85 respectively. Mean satisfaction scores were high for each group. However, statistically significant differences were not apparent between second or third year students exposed to medium and high fidelity manikins. Content analysis identified 13 main categories including supplementing versus replacing clinical placements and the need for increased exposure to simulation sessions. CONCLUSION The results of this study indicate that simulation is highly valued by students, irrespective of the level of fidelity. This raises questions about the value of investing in expensive simulation modalities. The Satisfaction with Simulation Experience Scale was reliable and valid for this cohort. Further research in different contexts would be valuable in extending upon this work.

[1]  Barbara G. Covington,et al.  Innovations in clinical simulation: Application of Benner's theory in an interactive patient care simulation. , 2006, Nursing education perspectives.

[2]  J. McCallum,et al.  The debate in favour of using simulation education in pre-registration adult nursing. , 2007, Nurse education today.

[3]  D. Gaba The future vision of simulation in health care , 2004, Quality and Safety in Health Care.

[4]  K. Adamson,et al.  A Review of Currently Published Evaluation Instruments for Human Patient Simulation , 2010 .

[5]  Susan Prion,et al.  A Practical Framework for Evaluating the Impact of Clinical Simulation Experiences in Prelicensure Nursing Education , 2008 .

[6]  Jennifer Dempsey,et al.  The 'five rights' of clinical reasoning: an educational model to enhance nursing students' ability to identify and manage clinically 'at risk' patients. , 2010, Nurse education today.

[7]  S. Comer PATIENT CARE SIMULATIONS: Role Playing to Enhance Clinical Understanding , 2005, Nursing education perspectives.

[8]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[9]  John W. Creswell,et al.  Research Design: Qualitative, Quantitative, and Mixed Methods Approaches , 2010 .

[10]  Colleen H. Meakim,et al.  Clinical simulation in nursing education. , 2009, Imprint.

[11]  A. Kable,et al.  Human Patient Simulation Manikins and Information Communication Technology Use in Australian Schools of Nursing: A Cross-Sectional Survey , 2011 .

[12]  M Sandelowski,et al.  Combining qualitative and quantitative sampling, data collection, and analysis techniques in mixed-method studies. , 2000, Research in nursing & health.

[13]  S. Erdley,et al.  A COLLABORATIVE EXERCISE: Between Graduate and Undergraduate Nursing Students Using a COMPUTER‐ASSISTED SIMULATOR in a Mock Cardiac Arrest , 2009, Nursing education perspectives.

[14]  W. Nehring,et al.  Human Patient Simulators in Nursing Education: An Overview , 2001 .

[15]  V. Minichiello,et al.  Research Methods for Nursing and Health Science , 2004 .

[16]  Daiyo Sawada,et al.  Dissipative Structures: New Metaphors for Becoming in Education , 1985 .

[17]  Mark S. Litwin,et al.  How to Measure Survey Reliability and Validity , 1995 .

[18]  Barbara Sinclair,et al.  Integrating Simulated Teaching/Learning Strategies in Undergraduate Nursing Education , 2009, International journal of nursing education scholarship.

[19]  Hentinen Ml Nursing education research , 1989 .

[20]  S. Kardong-Edgren,et al.  The Integration of Simulation into a Clinical Foundations of Nursing Course: Student and Faculty Perspectives , 2008, International journal of nursing education scholarship.

[21]  Robert F. DeVellis,et al.  Scale Development: Theory and Applications. , 1992 .

[22]  P. Ravert,et al.  Student Satisfaction with Simulation Experiences , 2006 .

[23]  Jane Marie Cioffi Clinical simulations: development and validation. , 2001, Nurse education today.

[24]  R. Devellis Classical Test Theory , 2006, Medical care.

[25]  Michael A Kallen,et al.  Computerized patient model and simulated clinical experiences: evaluation with baccalaureate nursing students. , 2004, The Journal of nursing education.

[26]  G. Pike The effects of background, coursework, and involvement on students' grades and satisfaction , 1991 .

[27]  L. Aiken,et al.  Educational levels of hospital nurses and surgical patient mortality. , 2003, JAMA.

[28]  Cleo H. Cherryholmes Notes on Pragmatism and Scientific Realism , 1992 .

[29]  Bob Bendel,et al.  VitalSim vs. SimMan: Comparing BSN Student Learning and Satisfaction Outcomes , 2008 .

[30]  Jonathan B VanGeest,et al.  The Use of Human Patient Simulators: Best Practices With Novice Nursing Students , 2006, Nurse educator.

[31]  Barbara J. Sittner,et al.  Simulated Clinical Experience: Nursing Students' Perceptions and the Educators' Role , 2006, Nurse educator.

[32]  Theresa A. Hoadley Learning Advanced Cardiac Life Support: A Comparison Study of the Effects of Low‐ and High‐Fidelity Simulation , 2009, Nursing education perspectives.