Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-24T15:55:50.396Z Has data issue: false hasContentIssue false

Case-based Learning Outperformed Simulation Exercises in Disaster Preparedness Education Among Nursing Trainees in India: A Randomized Controlled Trial

Published online by Cambridge University Press:  05 August 2016

Adam R. Aluisio*
Affiliation:
Department of Emergency Medicine, Warren Alpert School of Medicine, Brown University, Providence, Rhode IslandUSA Department of Emergency Medicine, SUNY Downstate Medical Center, Brooklyn, New YorkUSA
Pia Daniel
Affiliation:
Department of Emergency Medicine, SUNY Downstate Medical Center, Brooklyn, New YorkUSA
Andrew Grock
Affiliation:
Department of Emergency Medicine, University of California, Los Angeles, Los Angeles, CaliforniaUSA
Joseph Freedman
Affiliation:
Department of Emergency Medicine, SUNY Downstate Medical Center, Brooklyn, New YorkUSA
Ajai Singh
Affiliation:
King George Medical University, Lucknow, India
Dimitrios Papanagnou
Affiliation:
Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PennsylvaniaUSA
Bonnie Arquilla
Affiliation:
Department of Emergency Medicine, SUNY Downstate Medical Center, Brooklyn, New YorkUSA
*
Correspondence: Adam R. Aluisio, MD, MSc Brown University Department of Emergency Medicine 593 Eddy St., Claverick 100 Providence, Rhode Island 02903 USA E-mail: [email protected]

Abstract

Objective

In resource-constrained environments, appropriately employing triage in disaster situations is crucial. Although both case-based learning (CBL) and simulation exercises (SEs) commonly are utilized in teaching disaster preparedness to adult learners, there is no substantial evidence supporting one as a more efficacious methodology. This randomized controlled trial (RCT) evaluated the effectiveness of CBL versus SEs in addition to standard didactic instruction in knowledge attainment pertaining to disaster triage preparedness.

Methods

This RCT was performed during a one-day disaster preparedness course in Lucknow, India during October 2014. Following provision of informed consent, nursing trainees were randomized to knowledge assessment after didactic teaching (control group); didactic plus CBL (Intervention Group 1); or didactic plus SE (Intervention Group 2). The educational curriculum used the topical focus of triage processes during disaster situations. Cases for the educational intervention sessions were scripted, identical between modalities, and employed structured debriefing. Trained live actors were used for SEs. After primary assessment, the groups underwent crossover to take part in the alternative educational modality and were re-assessed. Two standardized multiple-choice question batteries, encompassing key core content, were used for assessments. A sample size of 48 participants was calculated to detect a ≥20% change in mean knowledge score (α=0.05; power=80%). Robustness of randomization was evaluated using X2, anova, and t-tests. Mean knowledge attainment scores were compared using one- and two-sample t-tests for intergroup and intragroup analyses, respectively.

Results

Among 60 enrolled participants, 88.3% completed follow-up. No significant differences in participant characteristics existed between randomization arms. Mean baseline knowledge score in the control group was 43.8% (standard deviation=11.0%). Case-based learning training resulted in a significant increase in relative knowledge scores at 20.8% (P=0.003) and 10.3% (P=.033) in intergroup and intragroup analyses, respectively. As compared to control, SEs did not significantly alter knowledge attainment scores with an average score increase of 6.6% (P=.396). In crossover intra-arm analysis, SEs were found to result in a 26.0% decrement in mean assessment score (P < .001).

Conclusions

Among nursing trainees assessed in this RCT, the CBL modality was superior to SEs in short-term disaster preparedness educational translation. Simulation exercises resulted in no detectable improvement in knowledge attainment in this population, suggesting that CBL may be utilized preferentially for adult learners in similar disaster training settings.

AluisioAR, DanielP, GrockA, FreedmanJ, SinghA, PapanagnouD, ArquillaB. Case-based Learning Outperformed Simulation Exercises in Disaster Preparedness Education Among Nursing Trainees in India: A Randomized Controlled Trial. Prehosp Disaster Med. 2016;31(5):516–523.

Type
Original Research
Copyright
© World Association for Disaster and Emergency Medicine 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Kearns, RD, Cairns, BA, Cairns, CB. Surge capacity and capability. A review of the history and where the science is today regarding surge capacity during a mass-casualty disaster. Front Public Health. 2014;2:29.CrossRefGoogle ScholarPubMed
2. Tintinalli, JE, Stapczynski, JS, Ma, OJ, Cline, DM, Cydulka, RK, Meckler, GD, (eds). Chapter 6. “Disaster Preparedness and Response.” In: Tintinalli’s Emergency Medicine. 7th ed. New York, New York USA: McGraw-Hill; 2011.Google Scholar
3. Noji, EK. The Public Health Consequences of Disasters. New York, New York USA: Oxford University Press; 1997.Google Scholar
4. Leaning, J, Guha-Sapir, D. Natural disasters, armed conflict, and public health. N Engl J Med. 2013;369(19):1836-1842.CrossRefGoogle ScholarPubMed
5. Guha-Sapir, D, Vos, T. “Earthquakes, an Epidemiological Perspective on Patterns and Trends.” In: Human Casualties in Earthquakes: Progress in Modelling and Mitigation. New York, New York USA: Springer; 2011: 13-24.CrossRefGoogle Scholar
6. Centre for Research on the Epidemiology of Disasters. The Human cost of Natural Disasters 2015, A Global Perspective. http://reliefweb.int/sites/reliefweb.int/files/ resources/PAND_report.pdf. Accessed October 25, 2015.Google Scholar
7. Centre for Research on the Epidemiology of Disasters. Annual Disaster Statistical Review 2014. The numbers and trends. http://cred.be/sites/default/files/ADSR_2014.pdf. Accessed October 25, 2015.Google Scholar
8. The World Bank. How we classify countries. http://data.worldbank.org/about/country-classifications Accessed October 25, 2015.Google Scholar
9. Savoia, E, Lin, L, Viswanath, K. Communications in public health emergency preparedness: a systematic review of the literature. Biosecur Bioterror. 2013;11(3):170-184.CrossRefGoogle ScholarPubMed
10. Frykberg, ER. Medical management of disasters and mass casualties from terrorist bombings: how can we cope? J Trauma. 2002;53(2):201-212.CrossRefGoogle ScholarPubMed
11. Jenkins, JL, McCarthy, ML, Sauer, LM, et al. Mass-casualty triage: time for an evidence-based approach. Prehosp Disaster Med. 2008;23(1):3-8.CrossRefGoogle ScholarPubMed
12. Hick, JL, Hanfling, D, Cantrill, SV. Allocating scarce resources in disasters: emergency department principles. Ann Emerg Med. 2012;59(3):177-187.CrossRefGoogle ScholarPubMed
14. Gebbie, KM, Qureshi, K. Emergency and disaster preparedness: core competencies for nurses. Am J Nurs. 2002;102(1):46-51.CrossRefGoogle ScholarPubMed
15. O’Brien, K. The role of nurses in disaster planning and management. School of Nursing, La Trobe University; Bendig, Australia. 1997. http://redgum.bendigo.latrobe.edu.au/~obrien/nursdisast.pdf. Accessed October 25, 2015.Google Scholar
16. Association of Women’s Health, Obstetric, Neonatal, Nursing. The role of the nurse in emergency preparedness. Nurs Womens Health. 2012;16(2):170-172.CrossRefGoogle Scholar
17. Talati, S, Bhatia, P, Kumar, A, Gupta, AK, Ojha, CD. Strategic planning and designing of a hospital disaster manual in a tertiary care, teaching, research and referral institute in India. World J Emerg Med. 2014;5(1):35-41.CrossRefGoogle Scholar
18. Carabine, E. Revitalizing Evidence-based Policy for the Sendai Framework for Disaster Risk Reduction 2015-2030: Lessons from Existing International Science Partnerships. PLoS currents. 2015;7.Google Scholar
19. Kaufman, DM. Applying educational theory in practice. BMJ. 2003;326(7382):213-216.CrossRefGoogle ScholarPubMed
20. Zigmont, JJ, Kappus, LJ, Sudikoff, SN. Theoretical foundations of learning through simulation. Semin Perinatol. 2011;35(2):47-51.CrossRefGoogle ScholarPubMed
21. Ingrassia, PL, Ragazzoni, L, Tengattini, M, Carenzo, L, Della Corte, F. Nationwide program of education for undergraduates in the field of disaster medicine: development of a core curriculum centered on blended learning and simulation tools. Prehosp Disaster Med. 2014;29(5):508-515.CrossRefGoogle ScholarPubMed
22. Vincent, DS, Berg, BW, Ikegami, K. Mass-casualty triage training for international healthcare workers in the Asia-Pacific region using manikin-based simulations. Prehosp Disaster Med. 2009;24(3):206-213.CrossRefGoogle ScholarPubMed
23. Liaw, SY, Chen, FG, Klainin, P, Brammer, J, O’Brien, A, Samarasekera, DD. Developing clinical competency in crisis event management: an integrated simulation problem-based learning activity. Adv Health Sci Educ Theory Pract. 2010;15(3):403-413.CrossRefGoogle ScholarPubMed
24. Kuntz, SW, Frable, P, Qureshi, K, Strong, LL. Association of Community Health Nursing Educators: disaster preparedness white paper for community/public health nursing educators. Public Health Nurs. 2008;25(4):362-369.CrossRefGoogle ScholarPubMed
25. Shannon, CC. Using a simulated mass casualty incident to teach response readiness: a case study. J Nurs Educ. 2015;54(4):215-219.CrossRefGoogle ScholarPubMed
26. Donner, RS, Bickley, H. Problem-based learning in American medical education: an overview. Bull Med Libr Assoc. 1993;81(3):294-298.Google ScholarPubMed
27. Holaday, SD, Buckley, KM. Addressing challenges in nursing education through a clinical instruction model based on a hybrid, inquiry-based learning framework. Nurs Educ Perspect. 2008;29(6):353-358.Google ScholarPubMed
28. Schmidt, HG. Problem-based learning: rationale and description. Med Educ. 1983;17(1):11-16.CrossRefGoogle ScholarPubMed
29. Albanese, MA, Mitchell, S. Problem-based learning: a review of literature on its outcomes and implementation issues. Acad Med. 1993;68(1):52-81.CrossRefGoogle ScholarPubMed
30. Jin, J, Bridges, SM. Educational technologies in problem-based learning in health sciences education: a systematic review. J Med Internet Res. 2014;16(12):e251.CrossRefGoogle ScholarPubMed
31. Cannon-Diehl, MR. Simulation in healthcare and nursing: state of the science. Crit Care Nurs. 2009;32(2):128-136.Google ScholarPubMed
32. Huang, G, Reynolds, R, Candler, C. Virtual patient simulation at US and Canadian medical schools. Acad Med. 2007;82(5):446-451.CrossRefGoogle ScholarPubMed
33. Bond, WF, Deitrick, LM, Arnold, DC, et al. Using simulation to instruct emergency medicine residents in cognitive forcing strategies. Acad Med. 2004;79(5):438-446.CrossRefGoogle ScholarPubMed
34. Fiedor, ML. Pediatric simulation: a valuable tool for pediatric medical education. Crit Care Med. 2004;32(2 Suppl):S72-S74.CrossRefGoogle ScholarPubMed
35. Grenvik, A, Schaefer, J. From Resusci-Anne to Sim-Man: the evolution of simulators in medicine. Crit Care Med. 2004;32(2 Suppl):S56-S57.CrossRefGoogle ScholarPubMed
36. Ardalan, A, Balikuddembe, JK, Ingrassia, PL, et al. Virtual disaster simulation: lesson learned from an international collaboration that can be leveraged for disaster education in Iran. PLoS Curr. 2015;7.Google ScholarPubMed
37. 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;27(1):10-28.CrossRefGoogle ScholarPubMed
38. McCoy, CE, Menchine, M, Anderson, C, Kollen, R, Langdorf, MI, Lotfipour, S. Prospective randomized crossover study of simulation vs. didactics for teaching medical students the assessment and management of critically ill patients. J Emerg Med. 2011;40(4):448-455.CrossRefGoogle ScholarPubMed
39. Steadman, RH, Coates, WC, Huang, YM, et al. Simulation-based training is superior to problem-based learning for the acquisition of critical assessment and management skills. Crit Care Med. 2006;34(1):151-157.CrossRefGoogle ScholarPubMed
40. 10th Annual INDO-US Emergency Medicine Summit. KG Medical University UP, Lucknow, India. 2014. http://www.indusem.com/training_2014.html. Accessed October 25, 2015.Google Scholar
41. American Board of Emergency Medicine. 2013 Model of the Clinical Practice of Emergency Medicine. http://www.abem.org/public/docs/default-source/publication-documents/2013-em-model---website-document-pdf.pdf?sfvrsn=8. Accessed October 25, 2015.Google Scholar
42. Centers for Disease Control and Prevention. All-Hazards Preparedness Guide. http://www.cdc.gov/phpr/documents/ahpg_final_march_2013.pdf. Accessed October 25, 2015.Google Scholar
43. Centers for Disease Control and Prevention. Explosions and Blast Injuries. http://www.cdc.gov/masstrauma/preparedness/primer.pdf. Accessed October 25, 2015.Google Scholar
44. Deshpande, AA, Mehta, S, Kshirsagar, NA. Hospital management of Mumbai train blast victims. Lancet. 2007;369(9562):639-640.CrossRefGoogle ScholarPubMed
45. Sharma, DC. Bhopal: 20 years on. Lancet. 2005;365(9454):111-112.Google Scholar
46. Sharma, RK. Disaster Management Education at UG level in the Indian University System. J Adv Pharm Technol Res. 2013;4(2):76-77.CrossRefGoogle ScholarPubMed
47. Gillett, B, Peckler, B, Sinert, R, et al. Simulation in a disaster drill: comparison of high-fidelity simulators versus trained actors. Acad Emerg Med. 2008;15(11):1144-1151.CrossRefGoogle Scholar
48. Simon, R, Raemer, DB, Rudolph, JW. Debriefing Assessment for Simulation in Healthcare (DASH) Rater’s Handbook. Boston, Massachusetts USA; Center for Medical Simulation: 2010. https://harvardmedsim.org/_media/DASH.handbook.2010.Final.Rev.2.pdf. English, French, German, Japanese.CrossRefGoogle Scholar
49. Lachin, JM. Introduction to sample size determination and power analysis for clinical trials. Control Clin Trials. 1981;2(2):93-113.CrossRefGoogle ScholarPubMed
50. Streiner, DL. Best (but oft-forgotten) practices: the multiple problems of multiplicity-whether and how to correct for many statistical tests. Am J Clin Nutr. 2015;102(4):721-728.CrossRefGoogle ScholarPubMed
51. Cicero, MX, Auerbach, MA, Zigmont, J, Riera, A, Ching, K, Baum, CR. Simulation training with structured debriefing improves residents’ pediatric disaster triage performance. Prehosp Disaster Med. 2012;27(3):239-244.CrossRefGoogle ScholarPubMed
52. Fergusson, D, Aaron, SD, Guyatt, G, Hebert, P. Post-randomization exclusions: the intention to treat principle and excluding patients from analysis. BMJ. 2002;325(7365):652-654.CrossRefGoogle Scholar
53. McLaughlin, SA, Doezema, D, Sklar, DP. Human simulation in emergency medicine training: a model curriculum. Acad Emerg Med. 2002;9(11):1310-1318.CrossRefGoogle Scholar
54. Sica, GT, Barron, DM, Blum, R, Frenna, TH, Raemer, DB. Computerized realistic simulation: a teaching module for crisis management in radiology. AJR. 1999;172(2):301-304.CrossRefGoogle ScholarPubMed
55. Harlow, KC, Sportsman, S. An economic analysis of patient simulators clinical training in nursing education. Nurs Econ. 2007;25(1):24-29, 23.Google ScholarPubMed
56. Avila-Guerra, M. Simulation in developing countries. Neurosurgery. 2014;74(3):E343.CrossRefGoogle ScholarPubMed
57. Limbrick, DD Jr., Dacey, RG Jr. Simulation in neurosurgery: possibilities and practicalities: foreword. Neurosurgery. 2013;73(Suppl 1):1-3.CrossRefGoogle ScholarPubMed
58. Hrobjartsson, A, Boutron, I. Blinding in randomized clinical trials: imposed impartiality. Clin Pharmacol Ther. 2011;90(5):732-736.CrossRefGoogle ScholarPubMed
59. Hambleton, KR, Patsula, L. Adapting tests for use in multiple languages and cultures. Social Indicators Research. 1998;45(1):153-171.CrossRefGoogle Scholar
60. Sullivan, GM. A primer on the validity of assessment instruments. J Grad Med Educ. 2011;3(2):119-120.CrossRefGoogle ScholarPubMed
61. Frykberg, ER. Principles of mass casualty management following terrorist disasters. Ann Surg. 2004;239(3):319-321.CrossRefGoogle ScholarPubMed
62. Schulz, CM, Skrzypczak, M, Raith, S, et al. High-fidelity human patient simulators compared with human actors in an unannounced mass-casualty exercise. Prehosp Disaster Med. 2014;29(2):176-182.CrossRefGoogle Scholar
63. Claudius, I, Kaji, A, Santillanes, G, et al. Comparison of computerized patients versus live moulaged actors for a mass-casualty drill. Prehosp Disaster Med. 2015;30(5):438-442.CrossRefGoogle ScholarPubMed