Purpose: Electronic health records (EHRs) with clinical decision support hold promise for improving quality of care, but their impact on management of chronic conditions has been mixed. This study examined the impact of EHR-based clinical decision support on adherence to guidelines for reducing gastrointestinal complications in primary care patients on nonsteroidal anti-inflammatory drugs (NSAIDs).

Methods: This randomized controlled trial was conducted in a national network of primary care offices using an EHR and focused on patients taking traditional NSAIDs who had factors associated with a high risk for gastrointestinal complications (a history of peptic ulcer disease; concomitant use of anticoagulants, anti-platelet medications [including aspirin], or corticosteroids; or an age of 75 years or older). The offices were randomized to receive EHR-based guidelines and alerts for high-risk patients on NSAIDs, or usual care. The primary outcome was the proportion of patients who received guideline-concordant care during the 1-year study period (June 2007-June 2008), defined as having their traditional NSAID discontinued (including a switch to a lower-risk medication), having a gastroprotective medication coprescribed, or both.

Results: Participants included 27 offices with 119 clinicians and 5,234 high-risk patients. Intervention patients were more likely than usual care patients to receive guideline-concordant care (25.4% vs 22.4%, adjusted odds ratio = 1.19; 95% confidence interval, 1.01-1.42). For individual high-risk groups, patients on low-dose aspirin were more likely to receive guideline-concordant care with the intervention vs usual care (25.0% vs 20.8%, adjusted odds ratio = 1.30; 95% confidence interval, 1.04-1.62), but there was no significant difference for patients in other high-risk groups.

Conclusions: This study showed only a small impact of EHR-based clinical decision support for high-risk patients on NSAIDs in primary care offices. These results add to the growing literature about the complexity of EHR-based clinical decision support for improving quality of care.