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. 2012 Jun;19(e1):e145-8.
doi: 10.1136/amiajnl-2011-000743. Epub 2012 Apr 25.

Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study

Affiliations

Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study

Peter J Embi et al. J Am Med Inform Assoc. 2012 Jun.

Abstract

Objective: Inadequate participant recruitment is a major problem facing clinical research. Recent studies have demonstrated that electronic health record (EHR)-based, point-of-care, clinical trial alerts (CTA) can improve participant recruitment to certain clinical research studies. Despite their promise, much remains to be learned about the use of CTAs. Our objective was to study whether repeated exposure to such alerts leads to declining user responsiveness and to characterize its extent if present to better inform future CTA deployments.

Methods: During a 36-week study period, we systematically documented the response patterns of 178 physician users randomized to receive CTAs for an ongoing clinical trial. Data were collected on: (1) response rates to the CTA; and (2) referral rates per physician, per time unit. Variables of interest were offset by the log of the total number of alerts received by that physician during that time period, in a Poisson regression.

Results: Response rates demonstrated a significant downward trend across time, with response rates decreasing by 2.7% for each advancing time period, significantly different from zero (flat) (p<0.0001). Even after 36 weeks, response rates remained in the 30%-40% range. Subgroup analyses revealed differences between community-based versus university-based physicians (p=0.0489).

Discussion: CTA responsiveness declined gradually over prolonged exposure, although it remained reasonably high even after 36 weeks of exposure. There were also notable differences between community-based versus university-based users.

Conclusions: These findings add to the limited literature on this form of EHR-based alert fatigue and should help inform future tailoring, deployment, and further study of CTAs.

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Conflict of interest statement

Competing interests: None.

Figures

Figure 1
Figure 1
Screen shot of the clinical trial alert used in the randomized controlled trial that was the basis for the current study.
Figure 2
Figure 2
Physician response rates to clinical trial alerts (CTAs) are plotted at 2-week intervals over the 36-week study. The solid line tracks response rates at each time point. The dashed line represents the linear regression line through each time point. Response rates declined at a rate of 2.7% per 2-week time period (p<0.0001).
Figure 3
Figure 3
Physician-generated referral rates using clinical trial alerts (CTAs) are plotted at 2-week intervals over the 36-week study. The solid line tracks referrals rates at each time point. The dashed line represents the linear regression line through each time point. Referral rates declined at a rate of 4.9% per 2-week time period (p=0.0294).

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