Table 4:
Perceived barriers to implementation within centers using and not using simulation-based training for trauma resuscitation.
Centers that do NOT Use Simulation (N=20) | Centers that Use Simulation (N=63) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Not a Barrier | Minor Barrier | Major Barrier | Makes Simulation Impossible | Weighted Ordinal Rank | Not a Barrier | Minor Barrier | Major Barrier | Makes Simulation Impossible | Weighted Ordinal Rank | 1p-value | 2Association with Sim Use, r | |
Funding to Buy Simulators | 12 (60%) | 2 (10%) | 3 (15%) | 3 (15%) | 1 | 48 (76%) | 5 (8%) | 9 (14%) | 1 (2%) | 4 | 0.11 | −0.36 |
Funding for Faculty/Staff Time to Participate | 13 (65%) | 0 (0%) | 5 (25%) | 2 (10%) | 2 | 43 (68%) | 5 (8%) | 13 (21%) | 2 (3%) | 1 | 0.55 | −0.34 |
Funding to Run Sessions | 11 (55%) | 3 (15%) | 5 (25%) | 1 (5%) | 2 | 39 (62%) | 15 (24%) | 8 (13%) | 1 (2%) | 2 | 0.35 | −0.36 |
Technical Expertise to Run Simulations | 11 (55%) | 4 (20%) | 5 (25%) | 0 (0%) | 4 | 55 (87%) | 6 (10%) | 2 (3%) | 0 (0%) | 8 | 0.01 | −0.27 |
Physician Buy-In | 12 (60%) | 5 (25%) | 3 (15%) | 0 (0%) | 5 | 43 (68%) | 7 (11%) | 13 (21%) | 0 (0%) | 3 | 0.70 | NS |
Leadership | 14 (70%) | 3 (15%) | 3 (15%) | 0 (0%) | 6 | 45 (62%) | 12 (19%) | 6 (10%) | 0 (0%) | 5 | 0.81 | −0.27 |
Data to Support Simulation Use | 14 (70%) | 4 (20%) | 2 (10%) | 0 (0%) | 7 | 56 (89%) | 7 (11%) | 0 (0%) | 0 (0%) | 10 | 0.03 | −0.24 |
Nursing Buy-In | 15 (75%) | 3 (15%) | 2 (10%) | 0 (0%) | 8 | 50 (79%) | 11 (18%) | 2 (3%) | 0 (0%) | 7 | 0.60 | −0.24 |
Lack of Scenarios to Run | 16 (80 %) | 2 (10%) | 2 (10%) | 0 (0%) | 9 | 55 (87%) | 7 (11%) | 1 (1%) | 0 (0%) | 9 | 0.36 | NS |
Ancillary Staff Buy-In | 16 (80%) | 3 (15%) | 1 (5 %) | 0 (0%) | 10 | 47 (75%) | 12 (19%) | 3 (5%) | 1 (2%) | 6 | 0.62 | NS |
Mann-Whitney U comparing median ordinal barrier scores for each barrier category between centers using and not using simulation-based training for trauma resuscitation.
Spearman’s Rho comparing barrier score for each scale within each center to number of pediatric simulations implemented in 2016 (all significant correlations have p<0.05).