Journal article
Analysis of Task Attributes Associated with Crisis Checklist Compliance in Pediatric Trauma Resuscitation
AMIA ... Annual Symposium proceedings, v 2023, pp 504-513
2023
PMID: 38222377
Abstract
Although checklists can improve overall team performance during medical crises, non-compliant checklist use poses risks to patient safety. We examined how task attributes affected checklist compliance by studying the use of a digital checklist during trauma resuscitation. We first determined task attributes and checklist compliance behaviors for 3,131 resuscitation tasks. Using statistical analyses and qualitative video review, we then identified barriers to accurately tracking task status, finding that certain task attributes were associated with non-compliant checklist behaviors. For example, tasks with multiple steps were more likely to be incorrectly recorded as completed when the task was not performed to completion. We discuss challenges in capturing and tracking the status of tasks with attributes that contribute to non-compliant checklist use. We also contribute a framework for understanding how tasks with certain attributes can be designed on checklists to improve compliance.
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Details
- Title
- Analysis of Task Attributes Associated with Crisis Checklist Compliance in Pediatric Trauma Resuscitation
- Creators
- Angela Mastrianni - Drexel UniversityLeah Hamlin - College of Computing and Informatics, Drexel University, Philadelphia, PA, USAEmily C Alberto - Division of Trauma and Burn Surgery, Children's National Hospital, Washington, DC, USATravis M Sullivan - Division of Trauma and Burn Surgery, Children's National Hospital, Washington, DC, USAAdesh Ranganna - Division of Trauma and Burn Surgery, Children's National Hospital, Washington, DC, USAIvan Marsic - Rutgers, The State University of New JerseyRandall S Burd - Division of Trauma and Burn Surgery, Children's National Hospital, Washington, DC, USAAleksandra Sarcevic - Drexel University
- Publication Details
- AMIA ... Annual Symposium proceedings, v 2023, pp 504-513
- Conference
- AMIA Annual Symposium
- Number of pages
- 1
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Scopus ID
- 2-s2.0-85182542608
- Other Identifier
- 991021822967804721