International Journal of Medical Informatics
Volume 81, Issue 4 , Pages 232-243, April 2012

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

  • Alissa L. Russ

      Affiliations

    • 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, United States
    • Regenstrief Institute, Inc., Indianapolis, IN, United States
    • Department of Pharmacy Practice, Purdue University College of Pharmacy, West Lafayette, IN, United States
    • Indiana University (IU) Center for Health Services & Outcomes Research, Indianapolis, IN, United States
    • Corresponding Author InformationCorresponding author at: VA HSR&D Center of Excellence on Implementing Evidenced-Based Practice (CIEBP), Richard L. Roudebush VA Medical Center (11-H), 1481 West 10th Street, Indianapolis, IN 46202, United States. Tel.: +1 317 988 3132; fax: +1 317 988 3222.
  • ,
  • Alan J. Zillich

      Affiliations

    • 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, United States
    • Department of Pharmacy Practice, Purdue University College of Pharmacy, West Lafayette, IN, United States
    • Indiana University (IU) Center for Health Services & Outcomes Research, Indianapolis, IN, United States
  • ,
  • M. Sue McManus

      Affiliations

    • Department of Nephrology, Roudebush VAMC, Indianapolis, IN, United States
  • ,
  • Bradley N. Doebbeling

      Affiliations

    • 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, United States
    • Regenstrief Institute, Inc., Indianapolis, IN, United States
    • Indiana University (IU) Center for Health Services & Outcomes Research, Indianapolis, IN, United States
    • Department of Medicine, IU School of Medicine, Indianapolis, IN, United States
  • ,
  • Jason J. Saleem

      Affiliations

    • 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, United States
    • Regenstrief Institute, Inc., Indianapolis, IN, United States
    • Indiana University (IU) Center for Health Services & Outcomes Research, Indianapolis, IN, United States
    • Department of Electrical & Computer Engineering, Indiana University-Purdue University at Indianapolis (IUPUI), Indianapolis, IN, United States

Received 12 July 2011; received in revised form 4 January 2012; accepted 5 January 2012. published online 01 February 2012.

Highlights

► A richer understanding of prescribers’ interactions with alerts during patient care. ► Actionable recommendations to improve alert design. ► A framework that describes prescribers’ interactions with alerts. ► Evidence that alert designs more closely match clinical pharmacist mental-models. ► Alert interface components that should be enhanced to support non-pharmacists.

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.

Keywords: Medication alert systems, Human factors engineering, CPOE, Electronic prescribing, Medication errors

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PII: S1386-5056(12)00013-5

doi:10.1016/j.ijmedinf.2012.01.002

International Journal of Medical Informatics
Volume 81, Issue 4 , Pages 232-243, April 2012