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Neonatal Nurses Experience Unintended Consequences and Risks to Patient Safety With Electronic Health Records

Dudding, Katherine, M., BSN, RNC-NIC; Gephart, Sheila, M., PhD, RN; Carrington, Jane, M., PhD, RN

CIN: Computers, Informatics, Nursing: April 2018 - Volume 36 - Issue 4 - p 167–176
doi: 10.1097/CIN.0000000000000406
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In this article, we examine the unintended consequences of nurses' use of electronic health records. We define these as unforeseen events, change in workflow, or an unanticipated result of implementation and use of electronic health records. Unintended consequences experienced by nurses while using electronic health records have been well researched. However, few studies have focused on neonatal nurses, and it is unclear to what extent unintended consequences threaten patient safety. A new instrument called the Carrington-Gephart Unintended Consequences of Electronic Health Record Questionnaire has been validated, and secondary analysis using the tool explored the phenomena among neonatal nurses (N = 40). The purposes of this study were to describe unintended consequences of use of electronic health records for neonatal nurses and to explore relationships between the phenomena and characteristics of the nurse and the electronic health record. The most frequent unintended consequences of electronic health record use were due to interruptions, followed by a heavier workload due to the electronic health record, changes to the workflow, and altered communication patterns. Neonatal nurses used workarounds most often with motivation to better assist patients. Teamwork was moderately related to higher unintended consequences including patient safety risks (r = 0.427, P = .007), system design (r = 0.419, P = .009), and technology barriers (r = 0.431, P = .007). Communication about patients was reduced when patient safety risks were high (r = −0.437, P = .003). By determining the frequency with which neonatal nurses experience unintended consequences of electronic health record use, future research can be targeted to improve electronic health record design through customization, integration, and refinement to support patient safety and better outcomes.

Author Affiliations: College of Nursing, The University of Arizona.

This project was funded by the Lawrence B. Emmons Foundation from The University of Arizona. S.M.G. acknowledges research support from the Robert Wood Johnson Foundation Nurse Faculty Scholars Program and the Agency for Healthcare Research and Quality (K08HS022908). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality or the Robert Wood Johnson Foundation.

The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article.

Corresponding Author: Katherine M. Dudding, BSN, RNC-NIC, College of Nursing, The University of Arizona, PO Box 210203, Tucson, AZ 85721 (kdudding@email.arizona.edu).

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