Literature DB >> 26911828

Effects of an e-Prescribing interface redesign on rates of generic drug prescribing: exploiting default options.

Sameer Malhotra1, Adam D Cheriff2, J Travis Gossey3, Curtis L Cole2, Rainu Kaushal4, Jessica S Ancker5.   

Abstract

OBJECTIVE: Increasing the use of generic medications could help control medical costs. However, educational interventions have limited impact on prescriber behavior, and e-prescribing alerts are associated with high override rates and alert fatigue. Our objective was to evaluate the effect of a less intrusive intervention, a redesign of an e-prescribing interface that provides default options intended to "nudge" prescribers towards prescribing generic drugs.
METHODS: This retrospective cohort study in an academic ambulatory multispecialty practice assessed the effects of customizing an e-prescribing interface to substitute generic equivalents for brand-name medications during order entry and allow a one-click override to order the brand-name medication.
RESULTS: Among drugs with generic equivalents, the proportion of generic drugs prescribed more than doubled after the interface redesign, rising abruptly from 39.7% to 95.9% (a 56.2% increase; 95% confidence interval, 56.0-56.4%; P < .001). Before the redesign, generic drug prescribing rates varied by therapeutic class, with rates as low as 8.6% for genitourinary products and 15.7% for neuromuscular drugs. After the redesign, generic drug prescribing rates for all but four therapeutic classes were above 90%: endocrine drugs, neuromuscular drugs, nutritional products, and miscellaneous products. DISCUSSION: Changing the default option in an e-prescribing interface in an ambulatory care setting was followed by large and sustained increases in the proportion of generic drugs prescribed at the practice.
CONCLUSIONS: Default options in health information technology exert a powerful effect on user behavior, an effect that can be leveraged to optimize decision making.
© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  Drug substitution; electronic health records; electronic prescribing; generic drugs; human-computer interaction; order entry systems

Mesh:

Substances:

Year:  2016        PMID: 26911828     DOI: 10.1093/jamia/ocv192

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


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