Unknown

Dataset Information

0

E-ASSESS: Creating an EPA Assessment Tool for Structured Simulated Emergency Scenarios.


ABSTRACT:

Background

The entrustable professional activity (EPA) assessment framework allows supervisors to assign entrustment levels to physician trainees for specific activities. Limited opportunity for direct observation of trainees hampers entrustment decisions, in particular for infrequently performed activities. Simulation allows for direct observation, so tools to assess performance of EPAs in simulation could potentially provide additional data to complement clinical assessments.

Objective

We developed and collected validity evidence for a simulation-based tool grounded in the EPA framework.

Methods

We developed E-ASSESS (EPA Assessment for Structured Simulated Emergency ScenarioS) to assess performance in 2 EPAs among pediatric residents participating in simulation-based team training in 2017-2018. We collected validity data, applying Messick's unitary view. Three raters used E-ASSESS to assign entrustment levels based on performance in simulation. We compared those ratings to entrustment levels assigned by clinical supervisors (different from the study raters) for the same residents on a separate tool designed for clinical practice. We calculated intraclass correlation (ICC) for each tool and Pearson correlation coefficients to compare ratings between tools.

Results

Twenty-eight residents participated in the study. The ICC between the 3 raters for entrustment ratings on E-ASSESS ranged from 0.65 to 0.77, while ICC among raters of the clinical tool were 0.59 and 0.57. We found no significant correlations between E-ASSESS ratings and clinical practice ratings for either EPA (r = -0.35 and 0.38, P > .05).

Conclusions

Assessment following an EPA framework in the simulation context may be useful to provide data points to inform entrustment decisions as part of resident assessment.

SUBMITTER: Andler C 

PROVIDER: S-EPMC7161329 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC7586756 | biostudies-literature
| S-EPMC3199910 | biostudies-literature
| S-EPMC9334375 | biostudies-literature
| S-EPMC10953757 | biostudies-literature
| S-EPMC7425968 | biostudies-literature
| S-EPMC7229522 | biostudies-literature
| S-EPMC6060416 | biostudies-literature
| S-EPMC8019228 | biostudies-literature
2024-03-05 | GSE260875 | GEO
| S-EPMC8207878 | biostudies-literature