Literature DB >> 10730600

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

N Staggers1, D Kobus.   

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 text-based interface and a prototype graphical interface, for differences in nurses' 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 and female nurses completed 40 tasks using each interface. Nurses completed four different types of order tasks (create, activate, modify, and discontinue). Using a repeated-measures and Latin square design, the study was counterbalanced for tasks, interface types, and blocks of trials. Overall, nurses 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 was also rated significantly higher for satisfaction than the text system, and the GUI was faster to leam (P < 0.0001). Therefore, the results indicated that the use of a prototype GUI for nursing orders significantly enhances user performance and satisfaction. Consideration should be given to redesigning older user interfaces to create more modern ones by using human factors 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.

Entities:  

Mesh:

Year:  2000        PMID: 10730600      PMCID: PMC61470          DOI: 10.1136/jamia.2000.0070164

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  9 in total

1.  Collaboration between unlikely disciplines in the creation of a conceptual framework for nurse-computer interactions.

Authors:  N Staggers; P L Parks
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

2.  Human factors. The missing element in computer technology.

Authors:  N Staggers
Journal:  Comput Nurs       Date:  1991 Mar-Apr

Review 3.  Interface design for health care environments: the role of cognitive science.

Authors:  V L Patel; A W Kushniruk
Journal:  Proc AMIA Symp       Date:  1998

4.  A graphical user interaction model for integrating complex clinical applications: a pilot study.

Authors:  D F Sittig; J A Yungton; G J Kuperman; J M Teich
Journal:  Proc AMIA Symp       Date:  1998

5.  Medical data, information, and knowledge.

Authors:  J H van Bemmel
Journal:  Methods Inf Med       Date:  1988-07       Impact factor: 2.176

6.  Assaying and isolating individual differences in searching a hierarchical file system.

Authors:  K J Vicente; B C Hayes; R C Williges
Journal:  Hum Factors       Date:  1987-06       Impact factor: 2.888

7.  Description and initial applications of the Staggers & Parks Nurse-Computer Interaction Framework.

Authors:  N Staggers; P L Parks
Journal:  Comput Nurs       Date:  1993 Nov-Dec

8.  Methods for dealing with reaction time outliers.

Authors:  R Ratcliff
Journal:  Psychol Bull       Date:  1993-11       Impact factor: 17.737

9.  The Staggers Nursing Computer Experience Questionnaire.

Authors:  N Staggers
Journal:  Appl Nurs Res       Date:  1994-05       Impact factor: 2.257

  9 in total
  15 in total

1.  Evaluation of a command-line parser-based order entry pathway for the Department of Veterans Affairs electronic patient record.

Authors:  C Lovis; M K Chapko; D P Martin; T H Payne; R H Baud; P J Hoey; S D Fihn
Journal:  J Am Med Inform Assoc       Date:  2001 Sep-Oct       Impact factor: 4.497

2.  The era of patient safety: implications for nursing informatics curricula.

Authors:  Judith A Effken; Barbara Carty
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

Review 3.  The use and interpretation of quasi-experimental studies in medical informatics.

Authors:  Anthony D Harris; Jessina C McGregor; Eli N Perencevich; Jon P Furuno; Jingkun Zhu; Dan E Peterson; Joseph Finkelstein
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

4.  Effect of CPOE user interface design on user-initiated access to educational and patient information during clinical care.

Authors:  S Trent Rosenbloom; Antoine J Geissbuhler; William D Dupont; Dario A Giuse; Douglas A Talbert; William M Tierney; W Dale Plummer; William W Stead; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

5.  A web-based breastfeeding education program.

Authors:  Wei-Chen Phoebe Cheng; Cheryl B Thompson; Jackie A Smith; Leigh Pugh; Claire Stanley
Journal:  J Perinat Educ       Date:  2003

6.  Comparing Text-based and Graphic User Interfaces for novice and expert users.

Authors:  Jung-Wei Chen; Jiajie Zhang
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

7.  Debunking health IT usability myths.

Authors:  N Staggers; Y Xiao; L Chapman
Journal:  Appl Clin Inform       Date:  2013-05-28       Impact factor: 2.342

8.  An electronic documentation system increases diagnostic code capture for very low birth weight infants.

Authors:  P J Porcelli
Journal:  Proc AMIA Symp       Date:  2001

9.  Nurses' Numeracy and Graphical Literacy: Informing Studies of Clinical Decision Support Interfaces.

Authors:  Karen Dunn Lopez; Diana J Wilkie; Yingwei Yao; Vanessa Sousa; Alessandro Febretti; Janet Stifter; Andrew Johnson; Gail M Keenan
Journal:  J Nurs Care Qual       Date:  2016 Apr-Jun       Impact factor: 1.597

Review 10.  A systematic review of the designs of clinical technology: findings and recommendations for future research.

Authors:  Greg Alexander; Nancy Staggers
Journal:  ANS Adv Nurs Sci       Date:  2009 Jul-Sep       Impact factor: 1.824

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