Comparing response time, errors, and satisfaction between text-based and graphical user interfaces during nursing order tasks

Citation
N. Staggers et D. Kobus, Comparing response time, errors, and satisfaction between text-based and graphical user interfaces during nursing order tasks, J AM MED IN, 7(2), 2000, pp. 164-176
Citations number
36
Categorie Soggetti
Library & Information Science","General & Internal Medicine
Journal title
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
ISSN journal
10675027 → ACNP
Volume
7
Issue
2
Year of publication
2000
Pages
164 - 176
Database
ISI
SICI code
1067-5027(200003/04)7:2<164:CRTEAS>2.0.ZU;2-3
Abstract
Despite the general adoption of graphical users interfaces (GUIs) in health care, few empirical data document the impact of this move on system users. This study compares two distinctly different user interfaces, a legacy tex t-based interface and a prototype graphical interface, for differences in n urses' response time (RT), errors, and satisfaction when the interfaces are used in the performance of computerized nursing order tasks. In a medical center on the East Coast of the United States, 98 randomly selected male an d female nurses completed 40 tasks using each interface. Nurses completed f our different types of order tasks (create, activate, modify, and discontin ue). Using a repeated-measures and Latin square design, the study was count erbalanced for tasks, interface types, and blocks of trials. Overall, nurse s had significantly faster response times (P < 0.0001) and fewer errors (P < 0.0001) using the prototype GUI than the text-based interface. The GUI wa s also rated significantly higher for satisfaction than the text system, an d the GUI was faster to learn (P < 0.0001). Therefore, the results indicate d that the use of a prototype GUI for nursing orders significantly enhances user performance and satisfaction. Consideration should be given to redesi gning older user interfaces to create more modern ones by using human facto rs principles and input from user-centered focus groups. Future work should examine prospective nursing interfaces for highly complex interactions in computer-based patient records, detail the severity of errors made on line, and explore designs to optimize interactions in life-critical systems.