Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome.

OBJECTIVE: Clinical decision support (CDS) alerts built into the electronic health record (EHR) have the potential to reduce the risk of drug-induced long QT syndrome (diLQTS) in susceptible patients. However, the degree to which providers incorporate this information into prescription behavior and the impact on patient outcomes is often unknown. METHODS: We examined provider response data over a period from October 8, 2016 until November 8, 2018 for a CDS alert deployed within the EHR from a 13-hospital integrated health care system that fires when a patient with a QTc ≥ 500 ms within the past 14 days is prescribed a known QT-prolonging medication. We used multivariate generalized estimating equations to analyze the impact of therapeutic alternatives, relative risk of diLQTS for specific medications, and patient characteristics on provider response to the CDS and overall patient mortality. RESULTS: The CDS alert fired 15,002 times for 7,510 patients for which the most common response (51.0%) was to override the alert and order the culprit medication. In multivariate models, we found that patient age, relative risk of diLQTS, and presence of alternative agents were significant predictors of adherence to the CDS alerts and that nonadherence itself was a predictor of mortality. Risk of diLQTS and presence of an alternative agent are major factors in provider adherence to a CDS to prevent diLQTS; however, provider nonadherence was associated with a decreased risk of mortality. CONCLUSION: Surrogate endpoints, such as provider adherence, can be useful measures of CDS value but attention to hard outcomes, such as mortality, is likely needed.

Leveraging a Redesigned Morbidity and Mortality Conference That Incorporates the Clinical and Educational Missions of Improving Quality and Patient Safety.

PROBLEM: The morbidity and mortality (M&M) conference is a vital event that can affect medical education, quality improvement, and peer review in academic departments. Historically, M&M conferences have emphasized cases that highlight diagnostic uncertainty or complex management conundrums. In this report, the authors describe the development, pilot, and refinement of a systems-based M&M conference model that combines the educational and clinical missions of improving quality and patient safety in the University of Colorado Department of Medicine. APPROACH: In 2011, a focused taskforce completed a literature review that informed the development of a framework for the redesigned systems-based M&M conference. The new model included a restructured monthly conference, longitudinal curriculum for residents, and formal channels for interaction with clinical effectiveness departments. Each conference features an in-depth discussion of an adverse event using specific quality improvement tools. Areas for improvement and suggested action items are identified during the conference and delegated to the relevant clinical departments. OUTCOMES: The new process has enabled the review of 27 adverse events over two years. Sixty-three action items were identified, and 33 were pursued. An average of 50 to 60 individuals participate in each conference, including interprofessional and interdisciplinary colleagues. Resident and faculty feedback regarding the new format has been positive, and other departments are starting to adopt this model. NEXT STEPS: A more robust process for identifying and selecting cases to discuss is needed, as is a stable, sufficient mechanism to manage the improvement initiatives that come out of each conference.