A novel in situ simulation framework for introduction of a new technology: the 3-Act-3-Debrief model

被引：6
作者：
Barker L.T. [1 ,2 ]
Bond W.F. [1 ,2 ]
Vincent A.L. [2 ]
Cooley K.L. [1 ]
McGarvey J.S. [1 ]
Vozenilek J.A. [1 ,2 ]
Powell E.S. [3 ]
机构：
[1] Jump Simulation (an OSF Healthcare and University of Illinois College of Medicine at Peoria Collaboration), OSF HealthCare and University of Illinois College of Medicine, 1306 N. Berkeley Avenue, Peoria, IL
[2] Department of Emergency Medicine, OSF HealthCare, University of Illinois College of Medicine, Peoria
[3] Department of Emergency Medicine, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago
来源：
Advances in Simulation | / 5卷 / 1期
基金：
美国医疗保健研究与质量局;
关键词：
Healthcare simulation; Telehealth; Debriefing; Sepsis; Interprofessional simulations; Health information technology; Implementation research;
D O I：
10.1186/s41077-020-00145-x
中图分类号：
学科分类号：
摘要：
Background: New technologies for clinical staff are typically introduced via an “in-service” that focuses on knowledge and technical skill. Successful adoption of new healthcare technologies is influenced by multiple other factors as described by the Consolidated Framework in Implementation Research (CFIR). A simulation-based introduction to new technologies provides opportunity to intentionally address specific factors that influence adoption. Methods: The new technology proposed for adoption was a telehealth cart that provided direct video communication with electronic intensive care unit (eICU) staff for a rural Emergency Department (ED). A novel 3-Act-3-Debrief in situ simulation structure was created to target predictive constructs from the CFIR and connect debriefing to specific workflows. The structure and content of the simulation in relation to the framework is described. Participants completed surveys pre-simulation/post-simulation to measure change in their readiness to adopt the new technology. Results: The scenario was designed and pilot tested before implementation at two rural EDs. There were 60 interprofessional participants across the 2 sites, with 58 pre-simulation and 59 post-simulation surveys completed. The post-simulation mean ratings for each readiness measure (feasibility, quality, resource availability, role clarity, staff receptiveness, and tech usability) increased significantly as a result of the simulation experience. Conclusions: A novel 3-stage simulation-debriefing structure positively targets factors influencing the adoption of new healthcare technologies. © 2020, The Author(s).
引用
收藏
相关论文
共 33 条
  • [1] Blike G.T., Christoffersen K., Cravero J.P., Andeweg S.K., Jensen J., A method for measuring system safety and latent errors associated with pediatric procedural sedation, Anesth Analg, 101, 1, pp. 48-58, (2005)
  • [2] Geis G.L., Pio B., Pendergrass T.L., Moyer M.R., Patterson M.D., Simulation to Assess the Safety of New Healthcare Teams and New Facilities, Simul Healthc, 6, 3, pp. 125-133, (2011)
  • [3] Kobayashi L., Shapiro M.J., Sucov A., Woolard R., Boss R.M., Dunbar J., Et al., Portable advanced medical simulation for new emergency department testing and orientation, Acad Emerg Med, 13, 6, pp. 691-695, (2006)
  • [4] Ziv Stephen D., Small Paul Root Wo A. Patient safety and simulation-based medical education, Med Teach, 22, 5, pp. 489-495, (2000)
  • [5] Hunt E.A., Hohenhaus S.M., Luo X., Frush K.S., Simulation of pediatric trauma stabilization in 35 North Carolina Emergency Departments: identification of targets for performance improvement, Pediatr Am Acad Pediatr, 117, 3, pp. 641-648, (2006)
  • [6] Weaver S.J., Salas E., Lyons R., Lazzara E.H., Rosen M.A., DiazGranados D., Et al., Simulation-based team training at the sharp end: A qualitative study of simulation-based team training design, implementation, and evaluation in healthcare, J Emerg Trauma Shock, 3, 4, pp. 369-377, (2010)
  • [7] Capella J., Smith S., Philp A., Putnam T., Gilbert C., Fry W., Et al., Teamwork training improves the clinical care of trauma patients, J Surg Educ, 67, 6, pp. 439-443, (2010)
  • [8] Wayne D.B., Barsuk J.H., O'Leary K.J., Fudala M.J., McGaghie W.C., Mastery learning of thoracentesis skills by internal medicine residents using simulation technology and deliberate practice, J Hosp Med, 3, 1, pp. 48-54, (2008)
  • [9] Wayne D.B., Butter J., Siddall V.J., Fudala M.J., Wade L.D., Feinglass J., Et al., Mastery learning of advanced cardiac life support skills by internal medicine residents using simulation technology and deliberate practice, J Gen Intern Med, 21, 3, pp. 251-256, (2006)
  • [10] Kushniruk A., Nohr C., Jensen S., Borycki E.M., From usability testing to clinical simulations: bringing context into the design and evaluation of usable and safe health information technologies. Contribution of the IMIA Human Factors Engineering for Healthcare Informatics Working Group, Yearb Med Inform, 8, pp. 78-85, (2013)
1234