A Novel Design for Drug-Drug Interaction Alerts Improves Prescribing Efficiency

Alissa L. Russ, Siying Chen, Brittany L. Melton, Elizabette G. Johnson, Jeffrey R. Spina, Michael Weiner, Alan J. Zillich

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

BACKGROUND: Drug-drug interactions (DDIs) are common in clinical care and pose serious risks for patients. Electronic health records display DDI alerts that can influence prescribers, but the interface design of DDI alerts has largely been unstudied. In this study, the objective was to apply human factors engineering principles to alert design. It was hypothesized that redesigned DDI alerts would significantly improve prescribers' efficiency and reduce prescribing errors.

METHODS: In a counterbalanced, crossover study with prescribers, two DDI alert designs were evaluated. Department of Veterans Affairs (VA) prescribers were video recorded as they completed fictitious patient scenarios, which included DDI alerts of varying severity. Efficiency was measured from time-stamped recordings. Prescribing errors were evaluated against predefined criteria. Efficiency and prescribing errors were analyzed with the Wilcoxon signed-rank test. Other usability data were collected on the adequacy of alert content, prescribers' use of the DDI monograph, and alert navigation.

RESULTS: Twenty prescribers completed patient scenarios for both designs. Prescribers resolved redesigned alerts in about half the time (redesign: 52 seconds versus original design: 97 seconds; p

CONCLUSION: Applying human factors principles to DDI alerts improved overall efficiency. Aspects of DDI alert design that could be further enhanced prior to implementation were also identified.

Original languageEnglish (US)
Pages (from-to)396-405
Number of pages10
JournalJoint Commission Journal on Quality and Patient Safety
Volume41
Issue number9
StatePublished - Sep 1 2015

Fingerprint

Drug Design
Drug Interactions
Efficiency
Pharmaceutical Preparations
Human Engineering
Electronic Health Records
Veterans
Nonparametric Statistics
Cross-Over Studies

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Russ, A. L., Chen, S., Melton, B. L., Johnson, E. G., Spina, J. R., Weiner, M., & Zillich, A. J. (2015). A Novel Design for Drug-Drug Interaction Alerts Improves Prescribing Efficiency. Joint Commission Journal on Quality and Patient Safety, 41(9), 396-405.

A Novel Design for Drug-Drug Interaction Alerts Improves Prescribing Efficiency. / Russ, Alissa L.; Chen, Siying; Melton, Brittany L.; Johnson, Elizabette G.; Spina, Jeffrey R.; Weiner, Michael; Zillich, Alan J.

In: Joint Commission Journal on Quality and Patient Safety, Vol. 41, No. 9, 01.09.2015, p. 396-405.

Research output: Contribution to journalArticle

Russ, AL, Chen, S, Melton, BL, Johnson, EG, Spina, JR, Weiner, M & Zillich, AJ 2015, 'A Novel Design for Drug-Drug Interaction Alerts Improves Prescribing Efficiency', Joint Commission Journal on Quality and Patient Safety, vol. 41, no. 9, pp. 396-405.
Russ, Alissa L. ; Chen, Siying ; Melton, Brittany L. ; Johnson, Elizabette G. ; Spina, Jeffrey R. ; Weiner, Michael ; Zillich, Alan J. / A Novel Design for Drug-Drug Interaction Alerts Improves Prescribing Efficiency. In: Joint Commission Journal on Quality and Patient Safety. 2015 ; Vol. 41, No. 9. pp. 396-405.
@article{b741f297a70f4885b5520c3f1e995660,
title = "A Novel Design for Drug-Drug Interaction Alerts Improves Prescribing Efficiency",
abstract = "BACKGROUND: Drug-drug interactions (DDIs) are common in clinical care and pose serious risks for patients. Electronic health records display DDI alerts that can influence prescribers, but the interface design of DDI alerts has largely been unstudied. In this study, the objective was to apply human factors engineering principles to alert design. It was hypothesized that redesigned DDI alerts would significantly improve prescribers' efficiency and reduce prescribing errors.METHODS: In a counterbalanced, crossover study with prescribers, two DDI alert designs were evaluated. Department of Veterans Affairs (VA) prescribers were video recorded as they completed fictitious patient scenarios, which included DDI alerts of varying severity. Efficiency was measured from time-stamped recordings. Prescribing errors were evaluated against predefined criteria. Efficiency and prescribing errors were analyzed with the Wilcoxon signed-rank test. Other usability data were collected on the adequacy of alert content, prescribers' use of the DDI monograph, and alert navigation.RESULTS: Twenty prescribers completed patient scenarios for both designs. Prescribers resolved redesigned alerts in about half the time (redesign: 52 seconds versus original design: 97 seconds; pCONCLUSION: Applying human factors principles to DDI alerts improved overall efficiency. Aspects of DDI alert design that could be further enhanced prior to implementation were also identified.",
author = "Russ, {Alissa L.} and Siying Chen and Melton, {Brittany L.} and Johnson, {Elizabette G.} and Spina, {Jeffrey R.} and Michael Weiner and Zillich, {Alan J.}",
year = "2015",
month = "9",
day = "1",
language = "English (US)",
volume = "41",
pages = "396--405",
journal = "Joint Commission Journal on Quality and Patient Safety",
issn = "1553-7250",
publisher = "Joint Commission Resources, Inc.",
number = "9",

}

TY - JOUR

T1 - A Novel Design for Drug-Drug Interaction Alerts Improves Prescribing Efficiency

AU - Russ, Alissa L.

AU - Chen, Siying

AU - Melton, Brittany L.

AU - Johnson, Elizabette G.

AU - Spina, Jeffrey R.

AU - Weiner, Michael

AU - Zillich, Alan J.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - BACKGROUND: Drug-drug interactions (DDIs) are common in clinical care and pose serious risks for patients. Electronic health records display DDI alerts that can influence prescribers, but the interface design of DDI alerts has largely been unstudied. In this study, the objective was to apply human factors engineering principles to alert design. It was hypothesized that redesigned DDI alerts would significantly improve prescribers' efficiency and reduce prescribing errors.METHODS: In a counterbalanced, crossover study with prescribers, two DDI alert designs were evaluated. Department of Veterans Affairs (VA) prescribers were video recorded as they completed fictitious patient scenarios, which included DDI alerts of varying severity. Efficiency was measured from time-stamped recordings. Prescribing errors were evaluated against predefined criteria. Efficiency and prescribing errors were analyzed with the Wilcoxon signed-rank test. Other usability data were collected on the adequacy of alert content, prescribers' use of the DDI monograph, and alert navigation.RESULTS: Twenty prescribers completed patient scenarios for both designs. Prescribers resolved redesigned alerts in about half the time (redesign: 52 seconds versus original design: 97 seconds; pCONCLUSION: Applying human factors principles to DDI alerts improved overall efficiency. Aspects of DDI alert design that could be further enhanced prior to implementation were also identified.

AB - BACKGROUND: Drug-drug interactions (DDIs) are common in clinical care and pose serious risks for patients. Electronic health records display DDI alerts that can influence prescribers, but the interface design of DDI alerts has largely been unstudied. In this study, the objective was to apply human factors engineering principles to alert design. It was hypothesized that redesigned DDI alerts would significantly improve prescribers' efficiency and reduce prescribing errors.METHODS: In a counterbalanced, crossover study with prescribers, two DDI alert designs were evaluated. Department of Veterans Affairs (VA) prescribers were video recorded as they completed fictitious patient scenarios, which included DDI alerts of varying severity. Efficiency was measured from time-stamped recordings. Prescribing errors were evaluated against predefined criteria. Efficiency and prescribing errors were analyzed with the Wilcoxon signed-rank test. Other usability data were collected on the adequacy of alert content, prescribers' use of the DDI monograph, and alert navigation.RESULTS: Twenty prescribers completed patient scenarios for both designs. Prescribers resolved redesigned alerts in about half the time (redesign: 52 seconds versus original design: 97 seconds; pCONCLUSION: Applying human factors principles to DDI alerts improved overall efficiency. Aspects of DDI alert design that could be further enhanced prior to implementation were also identified.

UR - http://www.scopus.com/inward/record.url?scp=84946735622&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946735622&partnerID=8YFLogxK

M3 - Article

C2 - 26289234

AN - SCOPUS:84946735622

VL - 41

SP - 396

EP - 405

JO - Joint Commission Journal on Quality and Patient Safety

JF - Joint Commission Journal on Quality and Patient Safety

SN - 1553-7250

IS - 9

ER -