Alissa L Russ1, Alan J Zillich, M Sue McManus, Bradley N Doebbeling, Jason J Saleem. 1. Department of Veterans Affairs, Health Services Research and Development Center of Excellence on Implementing Evidence-Based Practice, Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, IN, USA.
Abstract
PURPOSE: Few studies have examined prescribers' interactions with medication alerts at the point of prescribing. We conducted an in situ, human factors investigation of outpatient prescribing to uncover factors that influence the prescriber-alert interaction and identify strategies to improve alert design. METHODS: Field observations and interviews were conducted with outpatient prescribers at a major Veterans Affairs Medical Center. Physicians, clinical pharmacists, and nurse practitioners were recruited across five primary care clinics and eight specialty clinics. Prescribers were observed in situ as they ordered medications for patients and resolved alerts. Researchers collected 351 pages of typed notes across 102 hours of observations and interviews. An interdisciplinary team identified emergent themes via inductive qualitative analysis. RESULTS: Altogether, 320 alerts were observed among 30 prescribers and their interactions with 146 patients. Qualitative analysis uncovered 44 emergent themes and 9 overarching factors, which were organized into a framework that describes the prescriber-alert interaction. Prescribers' ability to act on alerts was impeded by the alert interface, which did not adequately support all prescriber types. CONCLUSIONS: This empiric study produced a novel framework for understanding the prescriber-alert interaction. Results revealed key components of the alert interface that influence prescribers and indicate a need for more universal design. Actionable design recommendations are presented and may be used to enhance alert design and patient safety. Published by Elsevier Ireland Ltd.
PURPOSE: Few studies have examined prescribers' interactions with medication alerts at the point of prescribing. We conducted an in situ, human factors investigation of outpatient prescribing to uncover factors that influence the prescriber-alert interaction and identify strategies to improve alert design. METHODS: Field observations and interviews were conducted with outpatient prescribers at a major Veterans Affairs Medical Center. Physicians, clinical pharmacists, and nurse practitioners were recruited across five primary care clinics and eight specialty clinics. Prescribers were observed in situ as they ordered medications for patients and resolved alerts. Researchers collected 351 pages of typed notes across 102 hours of observations and interviews. An interdisciplinary team identified emergent themes via inductive qualitative analysis. RESULTS: Altogether, 320 alerts were observed among 30 prescribers and their interactions with 146 patients. Qualitative analysis uncovered 44 emergent themes and 9 overarching factors, which were organized into a framework that describes the prescriber-alert interaction. Prescribers' ability to act on alerts was impeded by the alert interface, which did not adequately support all prescriber types. CONCLUSIONS: This empiric study produced a novel framework for understanding the prescriber-alert interaction. Results revealed key components of the alert interface that influence prescribers and indicate a need for more universal design. Actionable design recommendations are presented and may be used to enhance alert design and patient safety. Published by Elsevier Ireland Ltd.
Authors: Alissa L Russ; Alan J Zillich; Brittany L Melton; Scott A Russell; Siying Chen; Jeffrey R Spina; Michael Weiner; Elizabette G Johnson; Joanne K Daggy; M Sue McManus; Jason M Hawsey; Anthony G Puleo; Bradley N Doebbeling; Jason J Saleem Journal: J Am Med Inform Assoc Date: 2014-03-25 Impact factor: 4.497
Authors: Kristen Miller; Danielle Mosby; Muge Capan; Rebecca Kowalski; Raj Ratwani; Yaman Noaiseh; Rachel Kraft; Sanford Schwartz; William S Weintraub; Ryan Arnold Journal: J Am Med Inform Assoc Date: 2018-05-01 Impact factor: 4.497
Authors: Rachel Hess; Gary S Fischer; Sarah M Sullivan; XinXin Dong; Melissa Weimer; Caroline Zeith; Sunday Clark; Mark S Roberts Journal: Telemed J E Health Date: 2014-09-22 Impact factor: 3.536