PP01 Cardiac arrest in a co-located GP surgery: using in situ simulation to assess human factor and system failures

Author(s):  
Andrew Greer ◽  
David Tibbits ◽  
Jane Acty
Author(s):  
Michael Creed ◽  
Bronwyn Reid-McDermott ◽  
Maria Costello ◽  
Senan Maher ◽  
Margaret O’Grady ◽  
...  

2018 ◽  
Vol 25 (12) ◽  
pp. 1396-1408 ◽  
Author(s):  
Marc Auerbach ◽  
Linda Brown ◽  
Travis Whitfill ◽  
Janette Baird ◽  
Kamal Abulebda ◽  
...  

2020 ◽  
Vol Volume 11 ◽  
pp. 271-285 ◽  
Author(s):  
Roshana Shrestha ◽  
Dinesh Badyal ◽  
Anmol Purna Shrestha ◽  
Abha Shrestha

2020 ◽  
Vol 49 ◽  
pp. 50-57
Author(s):  
Sarah Adcock ◽  
Michele L. Kuszajewski ◽  
Cristie Dangerfield ◽  
Virginia C. Muckler

2017 ◽  
Vol 2 (3) ◽  
pp. 116-119 ◽  
Author(s):  
Michael Czekajlo ◽  
Agata Dabrowska

2021 ◽  
Vol 23 (2) ◽  
pp. 54-61
Author(s):  
Bhargavi Gali ◽  
◽  
Grace Arteaga ◽  
Glen Au ◽  
Vitaly Herasevich

Background: Advanced life support interventions have been modified for patients who have recently undergone sternotomy for cardiac surgery and have new suture lines. We aimed to determine whether the use of in-situ simulation increased adherence to the cardiac surgery unit-advanced life support algorithm (CSU-ALS) for patients with cardiac arrest after cardiac surgery (CAACS). Methods: This was a retrospective chart review of cardiac arrest management of patients who sustained CAACS before and after implementation of in-situ simulation scenarios utilizing CSU-ACLS in place of traditional advanced cardiac life support. We utilized classroom education of CSU-ACLS followed by in-situ high-fidelity simulated scenarios of patients with CAACS.. Interprofessional learners (n = 210) participated in 18 in-situ simulations of CAACS. Two groups of patients with CAACS were retrospectively compared before and after in situ training (preimplementation, n=22 vs postimplementation, n=38). Outcomes included adherence to CSU-ALS for resuscitation, delay in initiation of chest compressions, use of defibrillation and pacing before external cardiac massage, and time to initial medication. Results: Chest compressions were used less often in the postimplementation vs the preimplementation period (11/22 [29%] vs 13/38 [59%], P = 0.02). Time to initial medication administration, use of defibrillation and pacing, return to the operating room, and survival were similar between periods. Conclusion: In this pilot, adherence to a key component of the CSU-ALS algorithm—delaying initiation of chest compressions—improved


2018 ◽  
Vol 23 (suppl_1) ◽  
pp. e16-e16
Author(s):  
Ahmed Moussa ◽  
Audrey Larone-Juneau ◽  
Laura Fazilleau ◽  
Marie-Eve Rochon ◽  
Justine Giroux ◽  
...  

Abstract BACKGROUND Transitions to new healthcare environments can negatively impact patient care and threaten patient safety. Immersive in situ simulation conducted in newly constructed single family room (SFR) Neonatal Intensive Care Units (NICUs) prior to occupancy, has been shown to be effective in testing new environments and identifying latent safety threats (LSTs). These simulations overlay human factors to identify LSTs as new and existing process and systems are implemented in the new environment OBJECTIVES We aimed to demonstrate that large-scale, immersive, in situ simulation prior to the transition to a new SFR NICU improves: 1) systems readiness, 2) staff preparedness, 3) patient safety, 4) staff comfort with simulation, and 5) staff attitude towards culture change. DESIGN/METHODS Multidisciplinary teams of neonatal healthcare providers (HCP) and parents of former NICU patients participated in large-scale, immersive in-situ simulations conducted in the new NICU prior to occupancy. One eighth of the NICU was outfitted with equipment and mannequins and staff performed in their native roles. Multidisciplinary debriefings, which included parents, were conducted immediately after simulations to identify LSTs. Through an iterative process issues were resolved and additional simulations conducted. Debriefings were documented and debriefing transcripts transcribed and LSTs classified using qualitative methods. To assess systems readiness and staff preparedness for transition into the new NICU, HCPs completed surveys prior to transition, post-simulation and post-transition. Systems readiness and staff preparedness were rated on a 5-point Likert scale. Average survey responses were analyzed using dependent samples t-tests and repeated measures ANOVAs. RESULTS One hundred eight HCPs and 24 parents participated in six half-day simulation sessions. A total of 75 LSTs were identified and were categorized into eight themes: 1) work organization, 2) orientation and parent wayfinding, 3) communication devices/systems, 4) nursing and resuscitation equipment, 5) ergonomics, 6) parent comfort; 7) work processes, and 8) interdepartmental interactions. Prior to the transition to the new NICU, 76% of the LSTs were resolved. Survey response rate was 31%, 16%, 7% for baseline, post-simulation and post-move surveys, respectively. System readiness at baseline was 1.3/5,. Post-simulation systems readiness was 3.5/5 (p = 0.0001) and post-transition was 3.9/5 (p = 0.02). Staff preparedness at baseline was 1.4/5. Staff preparedness post-simulation was 3.3/5 (p = 0.006) and post-transition was 3.9/5 (p = 0.03). CONCLUSION Large-scale, immersive in situ simulation is a feasible and effective methodology for identifying LSTs, improving systems readiness and staff preparedness in a new SFR NICU prior to occupancy. However, to optimize patient safety, identified LSTs must be mitigated prior to occupancy. Coordinating large-scale simulations is worth the time and cost investment necessary to optimize systems and ensure patient safety prior to transition to a new SFR NICU.


Sign in / Sign up

Export Citation Format

Share Document