High-fidelity simulation and nurse clinical competence-An integrative review.
clinical competence
clinical deterioration
failure to rescue
high-fidelity simulation training
integrative review
nursing education
pedagogy
Journal
Journal of clinical nursing
ISSN: 1365-2702
Titre abrégé: J Clin Nurs
Pays: England
ID NLM: 9207302
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
revised:
13
08
2021
received:
21
04
2021
accepted:
16
08
2021
medline:
24
4
2023
pubmed:
29
8
2021
entrez:
28
8
2021
Statut:
ppublish
Résumé
The aim of this review was to synthesise current knowledge of high-fidelity simulation practices and its impact on nurse clinical competence in the acute care setting. There is no consensus or standardisation surrounding best practices for the delivery of high-fidelity simulation in the acute care setting. This is an understudied area. An integrative review using Johns Hopkins Nursing Evidence-Based Practice Model. Medical subject heading terms 'Clinical Competence', AND 'High Fidelity Simulation Training', AND 'Clinical Deterioration' were systematically searched in PubMed, CINAHL and Embase databases for peer-reviewed literature published through September 2020. The current study was evaluated using PRISMA checklist. Seven studies met the inclusion criteria. Three main concepts were identified: modes of delivery, approach to learner participation and outcome measurement. This review substantiated the use of high-fidelity simulation to improve acute care nurses' early identification and management of clinical deterioration. Global variations in course design and implementation highlight the need for future approaches to be standardised at the regional level (i.e., country-centric approach) where differing scopes of practice and sociocultural complexities are best contextualised. These findings add to the growing body of evidence of simulation science. Important considerations in course planning and design for nursing clinical educators were uncovered. This is especially relevant given the current COVID-19 pandemic and urgent need to train redeployed nurses safely and effectively from other units and specialties to acute care.
Sections du résumé
AIM
OBJECTIVE
The aim of this review was to synthesise current knowledge of high-fidelity simulation practices and its impact on nurse clinical competence in the acute care setting.
BACKGROUND
BACKGROUND
There is no consensus or standardisation surrounding best practices for the delivery of high-fidelity simulation in the acute care setting. This is an understudied area.
DESIGN
METHODS
An integrative review using Johns Hopkins Nursing Evidence-Based Practice Model.
METHODS
METHODS
Medical subject heading terms 'Clinical Competence', AND 'High Fidelity Simulation Training', AND 'Clinical Deterioration' were systematically searched in PubMed, CINAHL and Embase databases for peer-reviewed literature published through September 2020. The current study was evaluated using PRISMA checklist.
RESULTS
RESULTS
Seven studies met the inclusion criteria. Three main concepts were identified: modes of delivery, approach to learner participation and outcome measurement.
CONCLUSIONS
CONCLUSIONS
This review substantiated the use of high-fidelity simulation to improve acute care nurses' early identification and management of clinical deterioration. Global variations in course design and implementation highlight the need for future approaches to be standardised at the regional level (i.e., country-centric approach) where differing scopes of practice and sociocultural complexities are best contextualised.
RELEVANCE TO CLINICAL PRACTICE
CONCLUSIONS
These findings add to the growing body of evidence of simulation science. Important considerations in course planning and design for nursing clinical educators were uncovered. This is especially relevant given the current COVID-19 pandemic and urgent need to train redeployed nurses safely and effectively from other units and specialties to acute care.
Types de publication
Systematic Review
Journal Article
Review
Langues
eng
Pagination
1549-1555Informations de copyright
© 2021 John Wiley & Sons Ltd.
Références
Aebersold, M. (2018). Simulation-based learning: No longer a novelty in undergraduate education. The Online Journal of Issues in Nursing, 23(2). https://doi.org/10.3912/OJIN.Vol23No02PPT39
Agency for Healthcare Research and Quality (2019). Failure to rescue. https://psnet.ahrq.gov/primer/failure-rescue.pdf
Ahmad, T., Bouwman, R. A., Grigoras, I., Aldecoa, C., Hofer, C., Hoeft, A., Holt, P., Fleisher, L. A., Buhre, W., & Pearse, R. M. (2017). Use of failure-to-rescue to identify international variation in postoperative care in low-, middle- and high-income countries: A 7-day cohort study of elective surgery. British Journal of Anaesthesia, 119(2), 258-266. https://doi.org/10.1093/bja/aex185
Bliss, M., & Aitken, L. M. (2017). Does simulation enhance nurses’ ability to assess deteriorating patients? Nurse Education in Practice, 28(2018), 20-26. https://doi.org/10.1016/j.nepr.2017.09.009
Chung, C., Cooper, S. J., Cant, R. P., Connell, C., McKay, A., Kinsman, L., Gazula, S., Boyle, J., Cameron, A., Cash, P., Evans, L., Kim, J.-A., Masud, R., McInnes, D., Norman, L., Penz, E., Rotter, T., Tanti, E., & Breakspear, T. (2018). The educational impact of web-based and face-to-face patient deterioration simulation programs: An interventional trial. Nurse Education Today, 64, 93-98. https://doi.org/10.1016/j.nedt.2018.01.037
Cooper, S., Buykx, P., McConnell-Henry, T., Kinsman, L., & McDermott, S. (2011). Simulation: Can it eliminate failure to rescue? Nursing Times, 107(3), 18-20. https://www.nursingtimes.net/clinical-archive/critical-care/simulation-can-it-eliminate-failure-to-rescue-21-01-2011/
Cooper, S., Cant, R., Porter, J., Missen, K., Sparkes, L., McConnell-Henry, T., & Endacott, R. (2013). Managing patient deterioration: Assessing teamwork and individual performance. Emergency Medicine Journal, 30(5), 377-381. https://doi.org/10.1136/emermed-2012-201312
Covidence systematic review software. Veritas Health Innovation. Available at www.covidence.org
Crowe, S., Ewart, L., & Derman, S. (2018). The impact of simulation based education on nursing confidence, knowledge, and patient outcomes on general medicine units. Nurse Education in Practice, 29, 70-75. https://doi.org/10.1016/j.nepr.2017.11.017
Dang, D., & Dearholt, S. (2018). Johns Hopkins nursing evidence-based practice: Model and guidelines (3rd ed.). Sigma Theta Tau International.
Elder, L. (2017). Simulation: A tool to assist nursing professional development practitioners to help nurses to better recognize early signs of clinical deterioration of patients. Journal for Nurses in Professional Development, 33(3), 127-130. https://doi.org/10.1097/NND.0000000000000342
Endacott, R., Scholes, J., Cooper, S., McConnell-Henry, T., Porter, J. O., Missen, K., Kinsman, L., & Champion, R. (2012). Identifying patient deterioration: using simulation and reflective interviewing to examine decision making skills in a rural hospital. International Journal of Nursing Studies, 49(6), 710-717. https://doi.org/10.1016/j.ijnurstu.2011.11.018
Garvey, P. K. (2015). Failure to rescue: The nurse’s impact. MEDSURG Nursing, 24(3), 145-149. https://pdfs.semanticscholar.org/b89d/b007722a609e9caf71d2851a3664e2a9f3b0.pdf
Henk, J. L. (2014). Failure to rescue: An evidence based glimpse. New Hampshire Nursing News, 38(4), 18-20. https://d3ms3kxrsap50t.cloudfront.net/uploads/publication/pdf/1087/NH10_14.pdf
INACSL Standards Committee (2016). INACSL standards of best practice: SimulationSM Simulation design. Clinical Simulation in Nursing, 12(S), S5-S12. https://doi.org/10.1016/j.ecns.2016.09.005
Lee, C., Mowry, J. L., Maycock, S. E., Colaianne-Wolfer, M. E., Knight, S. W., & Wyse, D. M. (2019). The impact of hospital-based in situ simulation on nurses’ recognition and intervention of patient deterioration. Journal for Nurses in Professional Development, 35(1), 18-24. https://doi.org/10.1097/NND.0000000000000507
Orique, S. B., & Phillips, L. J. (2018). The effectiveness of simulation on recognizing and managing clinical deterioration: Meta-analyses. Western Journal of Nursing Research, 40(4), 582-609. https://doi.org/10.1177/0193945917697224
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. British Medical Journal, 372, 71, https://doi.org/10.1136/bmj.n71
Schubert, C. R. (2012). Effect of simulation on nursing knowledge and critical thinking in failure to rescue events. Journal of Continuing Education in Nursing, 43(10), 467-471. https://doi.org/10.3928/00220124-20120904-27.
Slawomirski, L., Auraaen, A., & Klazinga, N. (2017). The economy of patient safety: Strengthening a value-based approach to reducing patient harm at national level. OECD 2nd Global Ministerial Summit on Patient Safety in Bonn, March 2017. https://www.oecd.org/els/health-systems/The-economics-of-patient-safety-March-2017.pdf
Society for Simulation in Healthcare. (2021). Healthcare simulation dictionary (Second ed. 2.1). Retrieved June 25, 2021, from https://www.ssih.org/Dictionary
World Health Organization (2019). Patient safety key facts. https://www.who.int/news-room/fact-sheets/detail/patient-safety