Unit-based Simulation for the Bedside Registered Nurse · Unit-based Simulation for the Bedside...
Transcript of Unit-based Simulation for the Bedside Registered Nurse · Unit-based Simulation for the Bedside...
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
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
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?
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.
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?
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
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
DATA COLLECTION Instruments:
Demographic questionnaire
Knowledge instrument
Self-confidence scale (Dr. Hicks)
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)
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
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
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
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
Acknowledgment
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.
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.
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.