Comparison of virtual patient simulation with mannequin-based simulation for improving clinical performances in assessing and managing clinical deterioration: randomized controlled trial

Sok Ying Liaw, Sally Wai-Chi Chan, Fun-Gee Chen, Shing Chuan Hooi, Chiang Siau, Sok Ying Liaw, Sally Wai-Chi Chan, Fun-Gee Chen, Shing Chuan Hooi, Chiang Siau

Abstract

Background: Virtual patient simulation has grown substantially in health care education. A virtual patient simulation was developed as a refresher training course to reinforce nursing clinical performance in assessing and managing deteriorating patients.

Objective: The objective of this study was to describe the development of the virtual patient simulation and evaluate its efficacy, by comparing with a conventional mannequin-based simulation, for improving the nursing students' performances in assessing and managing patients with clinical deterioration.

Methods: A randomized controlled study was conducted with 57 third-year nursing students who were recruited through email. After a baseline evaluation of all participants' clinical performance in a simulated environment, the experimental group received a 2-hour fully automated virtual patient simulation while the control group received 2-hour facilitator-led mannequin-based simulation training. All participants were then re-tested one day (first posttest) and 2.5 months (second posttest) after the intervention. The participants from the experimental group completed a survey to evaluate their learning experiences with the newly developed virtual patient simulation.

Results: Compared to their baseline scores, both experimental and control groups demonstrated significant improvements (P<.001) in first and second post-test scores. While the experimental group had significantly lower (P<.05) second post-test scores compared with the first post-test scores, no significant difference (P=.94) was found between these two scores for the control group. The scores between groups did not differ significantly over time (P=.17). The virtual patient simulation was rated positively.

Conclusions: A virtual patient simulation for a refreshing training course on assessing and managing clinical deterioration was developed. Although the randomized controlled study did not show that the virtual patient simulation was superior to mannequin-based simulation, both simulations have demonstrated to be effective refresher learning strategies for improving nursing students' clinical performance. Given the greater resource requirements of mannequin-based simulation, the virtual patient simulation provides a more promising alternative learning strategy to mitigate the decay of clinical performance over time.

Keywords: clinical performance; deterioration; education; patient safety; simulation; virtual patient.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Clinical history of the virtual patient.
Figure 2
Figure 2
User follows A to D to navigate each scenario: A, Click on the patient’s day of admission to enter a scenario; B, Receive patient information during hand-off report; C, Emulate the role of nurse to assess and manage deteriorating patient by clicking on the ABCDE options menus; D, Self-reflection through a list of questions.
Figure 3
Figure 3
Flow of data collection.
Figure 4
Figure 4
Performance mean scores and standard deviation at pretest, first posttest, and second posttest.

References

    1. Liaw SY, Scherpbier A, Klainin-Yobas P, Rethans JJ. A review of educational strategies to improve nurses' roles in recognizing and responding to deteriorating patients. Int Nurs Rev. 2011 Sep;58(3):296–303. doi: 10.1111/j.1466-7657.2011.00915.x.
    1. Liaw SY, Rethans JJ, Scherpbier A, Piyanee KY. Rescuing A Patient In Deteriorating Situations (RAPIDS): A simulation-based educational program on recognizing, responding and reporting of physiological signs of deterioration. Resuscitation. 2011 Sep;82(9):1224–30. doi: 10.1016/j.resuscitation.2011.04.014.
    1. Liaw SY, Chan SW, Scherpbier A, Rethans JJ, Pua GG. Recognizing, responding to and reporting patient deterioration: transferring simulation learning to patient care settings. Resuscitation. 2012 Mar;83(3):395–8. doi: 10.1016/j.resuscitation.2011.08.021.
    1. Youngblood P, Harter PM, Srivastava S, Moffett S, Heinrichs WL, Dev P. Design, development, and evaluation of an online virtual emergency department for training trauma teams. Simul Healthc. 2008;3(3):146–53. doi: 10.1097/SIH.0b013e31817bedf7.
    1. Wiecha J, Heyden R, Sternthal E, Merialdi M. Learning in a virtual world: experience with using second life for medical education. J Med Internet Res. 2010;12(1):e1. doi: 10.2196/jmir.1337.
    1. Triola M, Feldman H, Kalet AL, Zabar S, Kachur EK, Gillespie C, Anderson M, Griesser C, Lipkin M. A randomized trial of teaching clinical skills using virtual and live standardized patients. J Gen Intern Med. 2006 May;21(5):424–9. doi: 10.1111/j.1525-1497.2006.00421.x.
    1. Ellaway R, Poulton T, Fors U, McGee JB, Albright S. Building a virtual patient commons. Med Teach. 2008;30(2):170–4. doi: 10.1080/01421590701874074.
    1. Huang G, Reynolds R, Candler C. Virtual patient simulation at US and Canadian medical schools. Acad Med. 2007 May;82(5):446–51. doi: 10.1097/ACM.0b013e31803e8a0a.
    1. Papadopoulos L, Pentzou AE, Louloudiadis K, Tsiatsos TK. Design and evaluation of a simulation for pediatric dentistry in virtual worlds. J Med Internet Res. 2013;15(11):e240. doi: 10.2196/jmir.2651.
    1. Cook DA, Erwin PJ, Triola MM. Computerized virtual patients in health professions education: a systematic review and meta-analysis. Acad Med. 2010 Oct;85(10):1589–602. doi: 10.1097/ACM.0b013e3181edfe13.
    1. LeFlore JL, Anderson M, Zielke MA, Nelson KA, Thomas PE, Hardee G, John LD. Can a virtual patient trainer teach student nurses how to save lives--teaching nursing students about pediatric respiratory diseases. Simul Healthc. 2012 Feb;7(1):10–7. doi: 10.1097/SIH.0b013e31823652de.
    1. Liaw SY, Scherpbier A, Klainin-Yobas P, Rethans JJ. Rescuing A Patient In Deteriorating Situations (RAPIDS): an evaluation tool for assessing simulation performance on clinical deterioration. Resuscitation. 2011 Nov;82(11):1434–9. doi: 10.1016/j.resuscitation.2011.06.008.
    1. Wang YS, Wang HY, Shee DY. Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior. 2007 Jul;23(4):1792–1808. doi: 10.1016/j.chb.2005.10.006.
    1. Liaw SY, Scherpbier A, Rethans JJ, Klainin-Yobas P. Assessment for simulation learning outcomes: a comparison of knowledge and self-reported confidence with observed clinical performance. Nurse Educ Today. 2012 Aug;32(6):e35–9. doi: 10.1016/j.nedt.2011.10.006.
    1. Cook DA. If you teach them, they will learn: why medical education needs comparative effectiveness research. Adv Health Sci Educ Theory Pract. 2012 Aug;17(3):305–10. doi: 10.1007/s10459-012-9381-0.
    1. Perkins GD, Fullerton JN, Davis-Gomez N, Davies RP, Baldock C, Stevens H, Bullock I, Lockey AS. The effect of pre-course e-learning prior to advanced life support training: a randomised controlled trial. Resuscitation. 2010 Jul;81(7):877–81. doi: 10.1016/j.resuscitation.2010.03.019.
    1. Jensen ML, Mondrup F, Lippert F, Ringsted C. Using e-learning for maintenance of ALS competence. Resuscitation. 2009 Aug;80(8):903–8. doi: 10.1016/j.resuscitation.2009.06.005.
    1. Cook DA, Triola MM. Virtual patients: a critical literature review and proposed next steps. Med Educ. 2009 Apr;43(4):303–11. doi: 10.1111/j.1365-2923.2008.03286.x.
    1. Issenberg SB, McGaghie WC, Petrusa ER, Lee Gordon D, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Med Teach. 2005 Jan;27(1):10–28. doi: 10.1080/01421590500046924.
    1. Delasobera BE, Goodwin TL, Strehlow M, Gilbert G, D'Souza P, Alok A, Raje P, Mahadevan SV. Evaluating the efficacy of simulators and multimedia for refreshing ACLS skills in India. Resuscitation. 2010 Feb;81(2):217–23. doi: 10.1016/j.resuscitation.2009.10.013.
    1. Kreijns K, Kirschner PA, Jochems W. Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Computers in Human Behavior. 2003 May;19(3):335–353. doi: 10.1016/S0747-5632(02)00057-2.
    1. Edelbring S. Research into the use of virtual patients is moving forward by zooming out. Med Educ. 2013 Jun;47(6):544–6. doi: 10.1111/medu.12206.
    1. Isaranuwatchai W, Brydges R, Carnahan H, Backstein D, Dubrowski A. Comparing the cost-effectiveness of simulation modalities: a case study of peripheral intravenous catheterization training. Adv Health Sci Educ Theory Pract. 2014 May;19(2):219–32. doi: 10.1007/s10459-013-9464-6.
    1. Cook DA, Levinson AJ, Garside S. Time and learning efficiency in Internet-based learning: a systematic review and meta-analysis. Adv Health Sci Educ Theory Pract. 2010 Dec;15(5):755–70. doi: 10.1007/s10459-010-9231-x.
    1. Bonnetain E, Boucheix JM, Hamet M, Freysz M. Benefits of computer screen-based simulation in learning cardiac arrest procedures. Med Educ. 2010 Jul;44(7):716–22. doi: 10.1111/j.1365-2923.2010.03708.x.
    1. Ericsson KA. Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad Med. 2004 Oct;79(10 Suppl):S70–81.
    1. Cook DA. The research we still are not doing: an agenda for the study of computer-based learning. Acad Med. 2005 Jun;80(6):541–8.
    1. Eysenbach G, CONSORT-EHEALTH Group CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011;13(4):e126. doi: 10.2196/jmir.1923.

Source: PubMed

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