Are we heeding the warning signs? Examining providers' overrides of computerized drug-drug interaction alerts in primary care

72Citations
Citations of this article
158Readers
Mendeley users who have this article in their library.

Abstract

Background: Health IT can play a major role in improving patient safety. Computerized physician order entry with decision support can alert providers to potential prescribing errors. However, too many alerts can result in providers ignoring and overriding clinically important ones. Objective: To evaluate the appropriateness of providers' drug-drug interaction (DDI) alert overrides, the reasons why they chose to override these alerts, and what actions they took as a consequence of the alert. Design: A cross-sectional, observational study of DDI alerts generated over a three-year period between January 1st, 2009, and December 31st, 2011. Setting: Primary care practices affiliated with two Harvard teaching hospitals. The DDI alerts were screened to minimize the number of clinically unimportant warnings. Participants: A total of 24,849 DDI alerts were generated in the study period, with 40% accepted. The top 62 providers with the highest override rate were identified and eight overrides randomly selected for each (a total of 496 alert overrides for 438 patients, 3.3% of the sample). Results: Overall, 68.2% (338/496) of the DDI alert overrides were considered appropriate. Among inappropriate overrides, the therapeutic combinations put patients at increased risk of several specific conditions including: serotonin syndrome (21.5%, n=34), cardiotoxicity (16.5%, n=26), or sharp falls in blood pressure or significant hypotension (28.5%, n=45). A small number of drugs and DDIs accounted for a disproportionate share of alert overrides. Of the 121 appropriate alert overrides where the provider indicated they would "monitor as recommended", a detailed chart review revealed that only 35.5% (n=43) actually did. Providers sometimes reported that patients had already taken interacting medications together (15.7%, n=78), despite no evidence to confirm this. Conclusions and Relevance: We found that providers continue to override important and useful alerts that are likely to cause serious patient injuries, even when relatively few false positive alerts are displayed. © 2013 Slight et al.

Figures

  • Figure 1. Screenshot of a Level 2 alert.
  • Table 1. Criteria for assessment of intended actions.
  • Table 3. Top 10 drug class-class interactions that were overridden.
  • Table 2. Time period within which the test should be ordered after alert override.
  • Table 4. Coded reasons given by providers for overriding DDI alerts.
  • Table 5. Providers’ attributes associated with alert overrides.

References Powered by Scopus

Effect of computerized physician order entry and a team intervention on prevention of serious medication errors

1716Citations
N/AReaders
Get full text

Improving safety with information technology

1151Citations
N/AReaders
Get full text

Effects of computerized physician order entry and clinical decision support systems on medication safety: A systematic review

1145Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Potential drug-drug interactions in infant, child, and adolescent patients in Children's Hospitals

83Citations
N/AReaders
Get full text

Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: A systematic review

70Citations
N/AReaders
Get full text

Improving medication-related clinical decision support

68Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Slight, S. P., Seger, D. L., Nanji, K. C., Cho, I., Maniam, N., Dykes, P. C., & Bates, D. W. (2013). Are we heeding the warning signs? Examining providers’ overrides of computerized drug-drug interaction alerts in primary care. PLoS ONE, 8(12). https://doi.org/10.1371/journal.pone.0085071

Readers over time

‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2509182736

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 66

62%

Researcher 29

27%

Professor / Associate Prof. 6

6%

Lecturer / Post doc 5

5%

Readers' Discipline

Tooltip

Medicine and Dentistry 51

55%

Pharmacology, Toxicology and Pharmaceut... 17

18%

Computer Science 14

15%

Nursing and Health Professions 10

11%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0