Literature DB >> 26361268

Use of Simulation to Study Nurses' Acceptance and Nonacceptance of Clinical Decision Support Suggestions.

Vanessa E C Sousa1, Karen Dunn Lopez, Alessandro Febretti, Janet Stifter, Yingwei Yao, Andrew Johnson, Diana J Wilkie, Gail M Keenan.   

Abstract

Our long-term goal was to ensure nurse clinical decision support works as intended before full deployment in clinical practice. As part of a broader effort, this pilot project explored factors influencing acceptance/nonacceptance of eight clinical decision support suggestions displayed in an electronic health record-based nursing plan of care software prototype. A diverse sample of 21 nurses participated in this high-fidelity clinical simulation experience and completed a questionnaire to assess reasons for accepting/not accepting the clinical decision support suggestions. Of 168 total suggestions displayed during the experiment (eight for each of the 21 nurses), 123 (73.2%) were accepted, and 45 (26.8%) were not accepted. The mode number of acceptances by nurses was seven of eight, with only two of 21 nurses accepting all. The main reason for clinical decision support acceptance was the nurse's belief that the suggestions were good for the patient (100%), with other features providing secondary reinforcement. Reasons for nonacceptance were less clear, with fewer than half of the subjects indicating low confidence in the evidence. This study provides preliminary evidence that high-quality simulation and targeted questionnaires about specific clinical decision support selections offer a cost-effective means for testing before full deployment in clinical practice.

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Year:  2015        PMID: 26361268      PMCID: PMC4607642          DOI: 10.1097/CIN.0000000000000185

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  20 in total

1.  Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality.

Authors:  David W Bates; Gilad J Kuperman; Samuel Wang; Tejal Gandhi; Anne Kittler; Lynn Volk; Cynthia Spurr; Ramin Khorasani; Milenko Tanasijevic; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

2.  A roadmap for national action on clinical decision support.

Authors:  Jerome A Osheroff; Jonathan M Teich; Blackford Middleton; Elaine B Steen; Adam Wright; Don E Detmer
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

3.  Factors influencing nurses' attitudes towards the use of computerized health information systems in Kuwaiti hospitals.

Authors:  Habib Alquraini; Abdul Majeed Alhashem; Makhdoom A Shah; Rafiqul I Chowdhury
Journal:  J Adv Nurs       Date:  2007-02       Impact factor: 3.187

4.  What nurses want: diffusion of an innovation.

Authors:  Tammie Di Pietro; Geraldine Coburn; Narissa Dharamshi; Diane Doran; John Mylopoulos; Andre Kushniruk; Lynn Nagle; Souraya Sidani; Ann Tourangeau; Brenda Laurie-Shaw; Nancy Lefebre; Cheryl Reid-Haughian; Jennifer Carryer; Greg McArthur
Journal:  J Nurs Care Qual       Date:  2008 Apr-Jun       Impact factor: 1.597

5.  Telenurses' experiences of working with computerized decision support: supporting, inhibiting and quality improving.

Authors:  Annica Ernesäter; Inger Holmström; Maria Engström
Journal:  J Adv Nurs       Date:  2009-05       Impact factor: 3.187

6.  Reasons for declining computerized insulin protocol recommendations: application of a framework.

Authors:  K Sward; J Orme; D Sorenson; L Baumann; A H Morris
Journal:  J Biomed Inform       Date:  2008-04-11       Impact factor: 6.317

7.  Exploring barriers and facilitators to the use of computerized clinical reminders.

Authors:  Jason J Saleem; Emily S Patterson; Laura Militello; Marta L Render; Greg Orshansky; Steven M Asch
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

8.  Nurses' use of computerised clinical decision support systems: a case site analysis.

Authors:  Dawn Dowding; Natasha Mitchell; Rebecca Randell; Rebecca Foster; Valerie Lattimer; Carl Thompson
Journal:  J Clin Nurs       Date:  2009-04       Impact factor: 3.036

9.  Unintended consequences of information technologies in health care--an interactive sociotechnical analysis.

Authors:  Michael I Harrison; Ross Koppel; Shirly Bar-Lev
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

10.  A survey of factors affecting clinician acceptance of clinical decision support.

Authors:  Dean F Sittig; Michael A Krall; Richard H Dykstra; Allen Russell; Homer L Chin
Journal:  BMC Med Inform Decis Mak       Date:  2006-02-01       Impact factor: 2.796

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  8 in total

1.  A Shovel-Ready Solution to Fill the Nursing Data Gap in the Interdisciplinary Clinical Picture.

Authors:  Gail M Keenan; Karen Dunn Lopez; Vanessa E C Sousa; Janet Stifter; Tamara G R Macieira; Andrew D Boyd; Yingwei Yao; T Heather Herdman; Sue Moorhead; Anna McDaniel; Diana J Wilkie
Journal:  Int J Nurs Knowl       Date:  2017-01-16       Impact factor: 1.222

Review 2.  Towards Usable E-Health. A Systematic Review of Usability Questionnaires.

Authors:  Vanessa E C Sousa; Karen Dunn Lopez
Journal:  Appl Clin Inform       Date:  2017-05-10       Impact factor: 2.342

3.  Framework for Mining and Analysis of Standardized Nursing Care Plan Data.

Authors:  Ashfaq Khokhar; Muhammad Kamran Lodhi; Yingwei Yao; Rashid Ansari; Gail Keenan; Diana J Wilkie
Journal:  West J Nurs Res       Date:  2016-10-22       Impact factor: 1.967

4.  Toward Meaningful Care Plan Clinical Decision Support: Feasibility and Effects of a Simulated Pilot Study.

Authors:  Gail M Keenan; Karen Dunn Lopez; Yingwei Yao; Vanessa E C Sousa; Janet Stifter; Alessandro Febretti; Andrew Johnson; Diana J Wilkie
Journal:  Nurs Res       Date:  2017 Sep/Oct       Impact factor: 2.381

Review 5.  Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.

Authors:  Saif Khairat; David Marc; William Crosby; Ali Al Sanousi
Journal:  JMIR Med Inform       Date:  2018-04-18

Review 6.  Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine.

Authors:  Vida Abedi; Seyed-Mostafa Razavi; Ayesha Khan; Venkatesh Avula; Aparna Tompe; Asma Poursoroush; Alireza Vafaei Sadr; Jiang Li; Ramin Zand
Journal:  J Clin Med       Date:  2021-12-06       Impact factor: 4.241

7.  Participatory design of probability-based decision support tools for in-hospital nurses.

Authors:  Alvin D Jeffery; Laurie L Novak; Betsy Kennedy; Mary S Dietrich; Lorraine C Mion
Journal:  J Am Med Inform Assoc       Date:  2017-11-01       Impact factor: 4.497

Review 8.  Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence-Enabled Clinical Decision Support Systems: Literature Review.

Authors:  Michael Knop; Sebastian Weber; Marius Mueller; Bjoern Niehaves
Journal:  JMIR Hum Factors       Date:  2022-03-24
  8 in total

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