Improving the non-technical skills of hospital medical emergency teams: The Team Emergency Assessment Measure (TEAM™)

Autor: Robyn P, Cant, Joanne E, Porter, Simon J, Cooper, Kate, Roberts, Ian, Wilson, Christopher, Gartside
Rok vydání: 2015
Předmět:
Zdroj: Emergency medicine Australasia : EMA. 28(6)
ISSN: 1742-6723
Popis: This prospective descriptive study aimed to test the validity and feasibility of the Team Emergency Assessment Measure (TEAM™) for assessing real-world medical emergency teams' non-technical skills. Second, the present study aimed to explore the instrument's contribution to practice regarding teamwork and learning outcomes.Registered nurses (RNs) and medical staff (n = 104) in two hospital EDs in rural Victoria, Australia, participated. Over a 10 month period, the (TEAM™) instrument was completed by multiple clinicians at medical emergency episodes.In 80 real-world medical emergency team resuscitation episodes (283 clinician assessments), non-technical skills ratings averaged 89% per episode (39 of a possible 44 points). Twenty-one episodes were rated in the lowest quartile (i.e. ≤37 points out of 44). Ratings differed by discipline, with significantly higher scores given by medical raters (mean: 41.1 ± 4.4) than RNs (38.7 ± 5.4) (P = 0.001). This difference occurred in the Leadership domain. The tool was reliable with Cronbach's alpha 0.78, high uni-dimensional validity and mean inter-item correlation of 0.45. Concurrent validity was confirmed by strong correlation between TEAM™ score and the awarded Global Rating (P 0.001), with 38.4% of shared variance. RNs praised the instrument as it initiated staff reflection and debriefing discussions around performance improvement.Non-technical skills of medical emergency teams are known to often be suboptimal; however, average ratings of 89% were achieved in this real-world study. TEAM™ is a valid, reliable and easy to use tool, for both training and clinical settings, with benefits for team performance when used as an assessment and/or debriefing tool.
Databáze: OpenAIRE