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OBJECTIVE ASSESSMENT METRICS FOR CENTRAL LINE SIMULATORS: AN EXPLORATION OF CAUSAL FACTORS.
Gonzalez-Vargas, Jessica M; Brown, Dailen C; Moore, Jason Z; Han, David C; Sinz, Elizabeth H; Sonntag, Cheyenne C; Miller, Scarlett R.
Afiliação
  • Gonzalez-Vargas JM; Pennsylvania State University.
  • Brown DC; Pennsylvania State University.
  • Moore JZ; Pennsylvania State University.
  • Han DC; Penn State Health Milton S. Hershey Medical Center.
  • Sinz EH; Penn State Health Milton S. Hershey Medical Center.
  • Sonntag CC; Penn State Health Milton S. Hershey Medical Center.
  • Miller SR; Pennsylvania State University.
Proc Hum Factors Ergon Soc Annu Meet ; 64(1): 2008-2012, 2020 Dec 01.
Article em En | MEDLINE | ID: mdl-34168420
ABSTRACT
The Dynamic Haptic Robotic Trainer (DHRT) was developed to minimize the up to 39% of adverse effects experienced by patients during Central Venous Catheterization (CVC) by standardizing CVC training, and provide automated assessments of performance. Specifically, this system was developed to replace manikin trainers that only simulate one patient anatomy and require a trained preceptor to evaluate the trainees' performance. While the DHRT system provides automated feedback, the utility of this system with real-world scenarios and expertise has yet to be thoroughly investigated. Thus, the current study was developed to determine the validity of the current objective assessment metrics incorporated in the DHRT system through expert interviews. The main findings from this study are that experts do agree on perceptions of patient case difficulty, and that characterizations of patient case difficulty is based on anatomical characteristics, multiple needle insertions, and prior catheterization.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc Hum Factors Ergon Soc Annu Meet Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc Hum Factors Ergon Soc Annu Meet Ano de publicação: 2020 Tipo de documento: Article