Literature DB >> 22296761

Prescribers' interactions with medication alerts at the point of prescribing: A multi-method, in situ investigation of the human-computer interaction.

Alissa L Russ1, Alan J Zillich, M Sue McManus, Bradley N Doebbeling, Jason J Saleem.   

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.

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Year:  2012        PMID: 22296761     DOI: 10.1016/j.ijmedinf.2012.01.002

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  21 in total

Review 1.  Usability Flaws in Medication Alerting Systems: Impact on Usage and Work System.

Authors:  R Marcilly; E Ammenwerth; E Roehrer; S Pelayo; F Vasseur; M-C Beuscart-Zéphir
Journal:  Yearb Med Inform       Date:  2015-06-30

2.  Building Usability Knowledge for Health Information Technology: A Usability-Oriented Analysis of Incident Reports.

Authors:  Romaric Marcilly; Jessica Schiro; Marie Catherine Beuscart-Zéphir; Farah Magrabi
Journal:  Appl Clin Inform       Date:  2019-06-12       Impact factor: 2.342

3.  When 'technically preventable' alerts occur, the design--not the prescriber--has failed.

Authors:  Alissa L Russ; Michael Weiner; Jason J Saleem; Robert L Wears
Journal:  J Am Med Inform Assoc       Date:  2012-07-30       Impact factor: 4.497

Review 4.  Clinical decision support alert appropriateness: a review and proposal for improvement.

Authors:  Allison B McCoy; Eric J Thomas; Marie Krousel-Wood; Dean F Sittig
Journal:  Ochsner J       Date:  2014

5.  Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation.

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

Review 6.  Impacts of Operational Failures on Primary Care Physicians' Work: A Critical Interpretive Synthesis of the Literature.

Authors:  Carol Sinnott; Alexandros Georgiadis; John Park; Mary Dixon-Woods
Journal:  Ann Fam Med       Date:  2020-03       Impact factor: 5.166

Review 7.  Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.

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

8.  Patterns of response to patient-centered decision support through a personal health record.

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

9.  Experience with decision support system and comfort with topic predict clinicians' responses to alerts and reminders.

Authors:  Nerissa S Bauer; Aaron E Carroll; Chandan Saha; Stephen M Downs
Journal:  J Am Med Inform Assoc       Date:  2015-11-13       Impact factor: 4.497

10.  Comparison of Clinical Importance of Drug Interactions Identified by Hospital Pharmacists and a Local Clinical Decision Support System.

Authors:  Louise Lau; Harkaryn Bagri; Michael Legal; Karen Dahri
Journal:  Can J Hosp Pharm       Date:  2021-07-01
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