title: Use of Simulation to Study Nurses' Acceptance and Nonacceptance of Clinical Decision Support Suggestions.
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.
authors.affiliation: Author Affiliations: College of Nursing, Department of Health System Science (Drs Sousa, Lopez, and Stifter), and Department of Computer Science (Mr Febretti and Dr Johnson), University of Illinois at Chicago, IL; and College of Nursing (Drs Yao, Wilkie, and Keenan), University of Florida, Gainesville.
authors.forename: Vanessa E C
authors.initials: VE
authors.lastname: Sousa
authors.forename: Karen Dunn
authors.initials: KD
authors.lastname: Lopez
authors.forename: Alessandro
authors.initials: A
authors.lastname: Febretti
authors.forename: Janet
authors.initials: J
authors.lastname: Stifter
authors.forename: Yingwei
authors.initials: Y
authors.lastname: Yao
authors.forename: Andrew
authors.initials: A
authors.lastname: Johnson
authors.forename: Diana J
authors.initials: DJ
authors.lastname: Wilkie
authors.forename: Gail M
authors.initials: GM
authors.lastname: Keenan
mesh_terms: D000328:Adult; D000368:Aged; D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D002983:Clinical Competence; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data*; D057286:Electronic Health Records; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D048108:Nursing Informatics; D015404:Nursing Methodology Research; D009741:Nursing Staff, Hospital / Q000523:psychology*; D010865:Pilot Projects; D000066908:Simulation Training / Q000379:methods*; D011795:Surveys and Questionnaires