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Unit-based Simulation for the Bedside Registered Nurse Jocelyn Disher, BSN, MSN, RN Anisha Desai, BSN, RN Angela Burgum, RN Cynthia Fallon, BSN, RN, ONC Patricia Hart, PhD, RN Kathie Aduddell, EdD, RN Lanell Bellury, PhD, RN, AOCNS


  1. Unit-based Simulation for the Bedside Registered Nurse Jocelyn Disher, BSN, MSN, RN Anisha Desai, BSN, RN Angela Burgum, RN Cynthia Fallon, BSN, RN, ONC Patricia Hart, PhD, RN Kathie Aduddell, EdD, RN Lanell Bellury, PhD, RN, AOCNS

  2. BACKGROUND & LITERATURE REVIEW  SJHA RRT data  Literature review showed HFS was mainly used in:  Academic setting  Lab setting  Military setting  Aviation industry  Space program  HFS was rarely reported in a healthcare setting at the unit based level

  3. PROBLEM STATEMENT Early identification of the deteriorating patient is a significant nursing function. Rapid Response Team data identified cardiovascular step- down units as having the largest number of transfers to a higher level of care (ICU). Are nursing staff appropriately identifying the early stages of patient deterioration?

  4. PURPOSE & OBJECTIVES  The purpose of this study was to examine the effect of using unit-based High Fidelity Simulation (HFS) to improve bedside registered nurses’ identification of deteriorating patients on step-down cardiovascular units by assessing their knowledge and self-confidence levels.  Objectives:  To review the feasibility and benefit of using high fidelity simulation in an acute care nursing unit environment.  To describe the effect of high fidelity simulation on knowledge and self-confidence scores.

  5. RESEARCH QUESTIONS 1. What is the effect of using unit-based HFS as an educational tool on professional RNs’ knowledge levels in acute respiratory deteriorating patients on step-down cardiovascular units in a community hospital? 2. What is the effect of using unit-based HFS as an educational tool on professional RNs’ self -confidence levels in handling acute deteriorating patients on step-down cardiovascular units in a community hospital?

  6. METHOD  A pilot study using a quasi-experimental design with an interventional pre-post method  Convenience sample of nurses working on 2 step-down cardiovascular units  HFS was conducted on an empty nursing unit  The intervention consisted of a HFS scenario depicting a chronic Obstructive Pulmonary Disease (COPD) patient in respiratory distress  Approved by Saint Joseph’s Institutional Review Board

  7. INTERVENTION  Intervention packet provided to participants  Scripted orientation to the simulation experience  Participants given the simulation patient information card  Simulation scenario  Scripted debriefing  Post-assessment instruments  $10 gift card for participation

  8. DATA COLLECTION  Instruments:  Demographic questionnaire  Knowledge instrument  Self-confidence scale (Dr. Hicks)

  9. RESULTS: SAMPLE (n = 23) Demographic Characteristic Mean (range) Number (%) Nursing experience in years 11.88(1-34) Baccalaureate prepared RNs 14 (60.9) Certified RNs 12 (52.2) Professional organization members 13 (56.5)

  10. RESULTS: SCORES ON KNOWLEDGE TEST AND SELF-CONFIDENCE TOOL p< .01 p< .01

  11. LIMITATIONS  Limited sample size  Findings may not represent the general population of acute care nurses  Possibility of discussion between the participants about the scenarios and test questions  Hawthorn Effect  Knowledge and self-confidence levels being measured immediately after the HFS intervention

  12. IMPLICATIONS FOR STAFF DEVELOPMENT  Studying a larger pool of RN’s  Although the unit based HFS seemed to be a favorable means, further comparative studies needed  HFS could be tailored to:  Unit specific educational needs  Competencies for RN’s  Increase knowledge and self-confidence levels post- intervention could have a positive impact on preventing further patient deterioration

  13. CONCLUSION  HFS could be beneficial in clinical training  Use of HFS with RN’s in the acute care environment is:  Feasible  Effective way of increasing knowledge and self- confidence in acute patient deterioration events

  14. Acknowledgment A special thanks to: Dr. Lanell Bellury-Research Coordinator at SJHA Dr. Kathy Aduddell Dr. Patricia Hart John Somerville-(Sim-man Expert at Mercer University) Dr. Hicks- (for letting us use the self-confidence scale) Risa Benoit-Critical care CNS for helping us develop knowledge questionnaires Our participants-CV- Stepdown RN’s Susan Beard -Education Coordinator CNS (Sim-man Expert at SJHA) Study Investigators’ managers - for allowing us 12 hours/month to work on our research project SJHA RRT team SJHA Nurse Research scholar program

  15. Questions

  16. References  Baker, A. M. C., & Tyler, A. L. C. (2011). Taking code blue to the units. Nursing, 41 (9), 14-17.  Benner, P. E. (1984). From novice to expert: Excellence and power in clinical nursing practice . Menlo Park, CA: Addison-Wesley.  Bradley, P. (2006). The history of simulation in medical education and possible future directions. Medical Education, 40 , 254-262.  Cannon-Dielh, M. R. (2009) Simulation in healthcare and nursing state of the science. Critical Care Nurse Q, 32 (2), 128-136.  Cant R. P. & Cooper, S. J . (2010) Simulation-based learning in nurse education: systematic review. Journal of Advanced Nursing, 66 (1), 3 – 15. doi: 10.1111/j.1365-2648.2009.05240.x  Cooper, S., Kinsman, L., Buykx, P., McConnell-Henry, T., Endacott, R., & Scholes, J. (2010). Managing the deteriorating patient in a simulated environment: nursing students’ knowledge, skill and situation awareness. Journal of Clinical Nursing , 19 (15-16), 2309-2318.  Hicks, F. D. (2006). Clinical decision-making self-confidence scale. In National Council of State Boards of Nursing. (2009). The effect of high- fidelity simulation on nursing students’ knowledge and performance: A pilot study . Retrieved May 7, 2012 from https://www.ncsbn.org/09_SimulationStudy_Vol40_web_with_cover.pdf  Gaba, D. M. (2007). The future vision of simulation in healthcare. Society for Simulation in Healthcare, 2 (2), 126-131.  Gore, T., Hunt, C. W., & Raines, K. H. (2008). Mock hospital unit simulation: A teaching strategy to promote safe patient care. Clinical Simulation in Nursing, 4 (3), doi:10.1016/j.ecns.2008.08.006  Harder, B. N. (2010). Use of simulation in teaching and learning in health sciences: A systematic review. Journal of Nursing Education, 49 (1), 23-28.

  17. References  Jeffries, P. (2007). Simulation in nursing education: From conceptualization to evaluation . National League for Nursing: New York.  LaVelle, B., & McLaughlin, J. J. (2008). Simulation-based education improves patient safety in ambulatory care. In Henriksen, K., Battles, J. B., Keyes, M. A. et al. (Eds). Advances in patient safety: New directions and alternative approaches (Vol. 3: Performance and Tools). Rockville (MD): Agency for Healthcare Research and Quality.  Liaw, S., Rethans, J., Scherpbier, A., & Piyanee, K. (2011). Rescuing a patient in deteriorating situations (RADIDS): a simulation-based educational program on recognizing, responding and reporting of physiological signs of deterioration. Resuscitation , 82 (11), 1224-1230.  Lim, P. (2009) Recognition and management of the deteriorating patient. Queensland, Australia: Queensland Health.  Keys, V. A., Malone, P., Brim, C., Schoonover, H., Nordstrom, C., & Selzler, M. (2009). Code carnivals: Resuscitating code blue training with accelerated learning. Journal of Continuing Education in Nursing, 40 (12): 560-564.  Kilday, D., Spiva, L., Barnett, J., Parker, C., & Hart, P. (2012). The effectiveness of combined  training modalities on neonatal rapid response teams. Clinical Simulation in Nursing , (in press). doi:10.1016/j.ecns.2012.02.004.

  18. References  Okuda, Y., Bryson, E. O.,DeMaria, S., Jacobson,L., Quinones, J., Shen, B., & Levine, A. (2009). The utility of simulation in medical education: What is the evidence? Mount Sinai Journal of Medicine, 76 (4), 330-343.  Siassakos, D., Hasafa, Z., Sibanda, T., Fox, R., Donald, F., & Winter, C. (2009). Retrospective cohort study of diagnosis-delivery interval with umbilical cord prolapse: The effect of team training. BJOG: An International Journal of Obstetrics & Gynaecology, 116 (8), 1089-1096. doi:10.1111/j.1471-0528.2009.02179.x.  Shapiro, M., Morey, J. C., Small, S., Langford, V., Kaylor, C., & Jagminas, L. (2004). Simulation-based teamwork training for emergency department staff: Does it improve clinical team performance when added to an existing didactic teamwork curriculum? Quality and Safety Health Care, 13 (6), 417-421. doi:10.1136/qshc.2003.005447.  Shuttleworth, M. (2009). Hawthorne effect . Retrieved on December 11, 2011 from Experiment Resources: http://www.experiment-resources.com/hawthorne-effect.html  Tait, D., (2010) Nursing recognition and response to signs of clinical deterioration. Nursing Management , 17(6), 31-55.  Wallin, C., Meurling, L., Hedman, L., Hedegard, J., & Fellander-Tsai, L. (2007). Target- focused medical emergency team training using a human patient simulator: Effects on behaviour and attitude. Medical Education, 41 (2), 173-180. doi:10.1111/j.1365- 2929.2006.02670.x.

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