Journal article
Checklist Design Reconsidered: Understanding Checklist Compliance and Timing of Interactions
Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, v 2020, pp 1-13
Apr 2020
PMID: 32685940
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We examine the association between user interactions with a checklist and task performance in a time-critical medical setting. By comparing 98 logs from a digital checklist for trauma resuscitation with activity logs generated by video review, we identified three non-compliant checklist use behaviors: failure to check items for completed tasks, falsely checking items when tasks were not performed, and inaccurately checking items for incomplete tasks. Using video review, we found that user perceptions of task completion were often misaligned with clinical practices that guided activity coding, thereby contributing to non-compliant check-offs. Our analysis of associations between different contexts and the timing of check-offs showed longer delays when (1) checklist users were absent during patient arrival, (2) patients had penetrating injuries, and (3) resuscitations were assigned to the highest acuity. We discuss opportunities for reconsidering checklist designs to reduce non-compliant checklist use.
Metrics
Details
- Title
- Checklist Design Reconsidered: Understanding Checklist Compliance and Timing of Interactions
- Creators
- Leah Kulp - Drexel University, Philadelphia, PA, USAAleksandra Sarcevic - Drexel University, Philadelphia, PA, USAYinan Zheng - Children’s National Medical Center, Washington DC, USAMegan Cheng - Children’s National Medical Center, Washington DC, USAEmily Alberto - Children’s National Medical Center, Washington DC, USARandall Burd - Children’s National Medical Center, Washington DC, USA
- Publication Details
- Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, v 2020, pp 1-13
- Publisher
- Association for Computing Machinery
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000696110400142
- Scopus ID
- 2-s2.0-85091266746
- Other Identifier
- 991014976893604721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods