Literature DB >> 28926204

Acceptability of Clinical Decision Support Interface Prototypes for a Nursing Electronic Health Record to Facilitate Supportive Care Outcomes.

Janet Stifter1, Vanessa E C Sousa1, Alessandro Febretti2, Karen Dunn Lopez3, Andrew Johnson4, Yingwei Yao5, Gail M Keenan6, Diana J Wilkie7.   

Abstract

PURPOSE: To determine the acceptability, usefulness, and ease of use for four nursing clinical decision support interface prototypes.
METHODS: In a simulated hospital environment, 60 registered nurses (48 female; mean age = 33.7 ± 10.8; mean years of experience = 8.1 ± 9.7) participated in a randomized study with four study groups. Measures included acceptability, usefulness, and ease of use scales.
FINDINGS: Mean scores were high for acceptability, usefulness, and the ease of use for all four groups. Inexperienced participants (<1 year) reported higher perceived ease of use (p = .05) and perceived usefulness (p = .01) than those with experience of 1 year or more.
CONCLUSIONS: Participants completed the protocol and reported that all four interfaces, including the control (HANDS), were acceptable, easy to use, and useful. IMPLICATIONS FOR NURSING KNOWLEDGE: Further study is warranted before clinical implementation within the electronic health record.
© 2017 NANDA International, Inc.

Entities:  

Keywords:  Clinical decision support; electronic health record; end-of-life care; interface usability; practice-based evidence; simulation

Mesh:

Year:  2017        PMID: 28926204      PMCID: PMC5858953          DOI: 10.1111/2047-3095.12178

Source DB:  PubMed          Journal:  Int J Nurs Knowl        ISSN: 2047-3087            Impact factor:   1.222


  39 in total

1.  Importance of testing for usability when selecting and implementing an electronic health or medical record system.

Authors:  Natalie J Corrao; Alan G Robinson; Michael A Swiernik; Arash Naeim
Journal:  J Oncol Pract       Date:  2010-05       Impact factor: 3.840

2.  Emotional aspects of computer-based provider order entry: a qualitative study.

Authors:  Dean F Sittig; Michael Krall; Joann Kaalaas-Sittig; Joan S Ash
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

3.  Barriers and facilitators to the use of computer-based intensive insulin therapy.

Authors:  Thomas R Campion; Lemuel R Waitman; Nancy M Lorenzi; Addison K May; Cynthia S Gadd
Journal:  Int J Med Inform       Date:  2011-10-21       Impact factor: 4.046

4.  Two-stage evaluation of the impact of a nursing information system in Taiwan.

Authors:  Ting-Ting Lee; Mary Etta Mills; Barker Bausell; Ming-Hui Lu
Journal:  Int J Med Inform       Date:  2008-05-05       Impact factor: 4.046

5.  Improving the care of children with advanced cancer by using an electronic patient-reported feedback intervention: results from the PediQUEST randomized controlled trial.

Authors:  Joanne Wolfe; Liliana Orellana; E Francis Cook; Christina Ullrich; Tammy Kang; Jeffrey Russell Geyer; Chris Feudtner; Jane C Weeks; Veronica Dussel
Journal:  J Clin Oncol       Date:  2014-03-10       Impact factor: 44.544

6.  A prospective cohort study examining the preferred learning styles of acute care registered nurses.

Authors:  Judy McCrow; Andrea Yevchak; Peter Lewis
Journal:  Nurse Educ Pract       Date:  2013-09-06       Impact factor: 2.281

7.  Current state of pain care for hospitalized patients at end of life.

Authors:  Yingwei Yao; Gail Keenan; Fadi Al-Masalha; Karen Dunn Lopez; Ashfaq Khokar; Andrew Johnson; Rashid Ansari; Diana J Wilkie
Journal:  Am J Hosp Palliat Care       Date:  2012-05-02       Impact factor: 2.500

8.  Extending computer technology to hospice research: interactive pentablet measurement of symptoms by hospice cancer patients in their homes.

Authors:  Diana J Wilkie; Young Ok Kim; Marie L Suarez; Colleen M Dauw; Stephen J Stapleton; Geraldine Gorman; Judith Storfjell; Zhongsheng Zhao
Journal:  J Palliat Med       Date:  2009-07       Impact factor: 2.947

9.  Usability testing of an online self-management program for adolescents with juvenile idiopathic arthritis.

Authors:  Jennifer Stinson; Patrick McGrath; Ellen Hodnett; Brian Feldman; Ciaran Duffy; Adam Huber; Lori Tucker; Ross Hetherington; Shirley Tse; Lynn Spiegel; Sarah Campillo; Navreet Gill; Meghan White
Journal:  J Med Internet Res       Date:  2010-07-29       Impact factor: 5.428

10.  Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care--systematic decision aid development and study protocol.

Authors:  Catherine H Yu; Dawn Stacey; Joanna Sale; Susan Hall; David M Kaplan; Noah Ivers; Jeremy Rezmovitz; Fok-Han Leung; Baiju R Shah; Sharon E Straus
Journal:  Implement Sci       Date:  2014-01-22       Impact factor: 7.327

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  2 in total

1.  Patients and Caregivers Rate the PAINReportIt Wireless Internet-Enabled Tablet as a Method for Reporting Pain During End-of-Life Cancer Care.

Authors:  Tasha M Schoppee; Brenda W Dyal; Lisa Scarton; Miriam O Ezenwa; Prashant Singh; Yingwei Yao; Marie L Suarez; Zaijie J Wang; Robert E Molokie; Diana J Wilkie
Journal:  Cancer Nurs       Date:  2020 Sep/Oct       Impact factor: 2.592

2.  Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation.

Authors:  Hwayoung Cho; Gail Keenan; Olatunde O Madandola; Fabiana Cristina Dos Santos; Tamara G R Macieira; Ragnhildur I Bjarnadottir; Karen J B Priola; Karen Dunn Lopez
Journal:  JMIR Hum Factors       Date:  2022-05-10
  2 in total

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