DID YOU KNOW? DTIC has over 3.5 million final reports on DoD funded research, development, test, and evaluation activities available to our registered users. Click
HERE to register or log in.
Accession Number:
AD1043741
Title:
Targeted On-Demand Team Performance App Development
Descriptive Note:
Technical Report,30 Sep 2015,29 Sep 2016
Corporate Author:
University of Central Florida Orlando United States
Report Date:
2016-10-01
Pagination or Media Count:
13.0
Abstract:
Study Aims What are the separate and collective effects of 1 Individual team member factors predictor variables on the clinical accuracy of team performance, team cohesiveness, and team morale in the management of an emergency medicine patient 2 Team factors predictor variables on the clinical accuracy of team performance, team cohesiveness, and team morale in the management of an emergency medicine patient 3 To what extent does the clinical accuracy of team performance in the management of an emergency medicine patient correlate with team cohesiveness and team morale 4 Which of these individual and team predictor variables best inform the development of targeted App based team training Summary of Approach Empirical data from 60 emergency medicine teams will be collected and analyzed using multiple regression to evaluate the relative importance of nine 9 individual predictors and seven 7 team predictors on three criterion dimensions of team performance. These data will inform the design and development of a team training App that targets these most impactful performance factors. Accomplishments 1 IRB documentation contracts complete from six sites 2 CareAssess system developed 3 Standardized patients hired and trained 4 Simulator development completed, tested and verified for data collection 5 Data collected from three sites 6 Preliminary analysis indicates larger than estimate effect size and study is sufficiently powered for generalizable outcomes. Data collection ongoing, to be completed Q2 2017.
Distribution Statement:
APPROVED FOR PUBLIC RELEASE