Conference proceeding
Characterization of Pediatric Resident Handover at Change of Shift to Inform Process Improvement
2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), pp 693-698
01 Jan 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Incomplete and/or unclear transfer of patient information can adversely affect the quality of patient care. This study investigated what/how information is exchanged between resident physicians at shift change. 15 sign-outs consisting of 209 patients were observed. Ten categories of patient information, four types of communication, and three sources of distraction were developed to characterize sign-out. The average sign-out lasted 34.4 minutes (standard deviation of 15.9) with 13.9 patients (standard deviation of 3.5) discussed. 23.2% of the time did not focus on patient care. When discussing patient care, 87.2% included one-way information transfer from the resident going off call. 32.2% of the information consisted of prior patient background. 12.1% was spent discussing what actions should/may occur overnight. Residents discussed the current physical condition for 35.4% of the patients, current medications for 62.7%, and contingency plans for 17.7% of patients. Potential improvements should focus on training residents on how to conduct handovers.
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2 citations in Scopus
Details
- Title
- Characterization of Pediatric Resident Handover at Change of Shift to Inform Process Improvement
- Creators
- Ellen J. Bass - Drexel UniversityLinda A. Waggoner-Fountain - University of VirginiaRichard Sledd - Univ Virginia, Dept Syst & Informat Engn, Charlottesville, VA 22903 USAJustin DeVoge - Univ Virginia, Dept Syst & Informat Engn, Charlottesville, VA 22903 USAStephen M. Borowitz - University of VirginiaIEEE
- Publication Details
- 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), pp 693-698
- Series
- IEEE International Conference on Systems Man and Cybernetics Conference Proceedings
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000332201900116
- Scopus ID
- 2-s2.0-84893609178
- Other Identifier
- 991019168708504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Information Systems
- Engineering, Electrical & Electronic