Computerized Advisory Decision Support for Cardiovascular Diseases in Primary Care: A Cluster Randomized Trial

Area of Science:

• Clinical Informatics
• Health Services Research
• Cardiology

Background:

• Guideline-recommended treatment is crucial for managing chronic conditions like heart failure, atrial fibrillation, and hyperlipidemia.
• Clinical decision support systems (CDSS) offer potential to improve adherence to these guidelines in outpatient settings.

Purpose of the Study:

• To evaluate the impact of an outpatient computerized advisory CDSS on adherence to guideline-recommended treatment for heart failure, atrial fibrillation, and hyperlipidemia.

Main Methods:

• A cluster-randomized trial involving 20 care teams (109 clinicians) compared access versus no access to an advisory CDSS integrated into the electronic medical record.
• The study analyzed 16,310 patient visits between May 1 and November 15, 2016, assessing guideline adherence based on patient diagnoses and prescribed treatments.

Main Results:

• The CDSS significantly increased adherence to guideline-recommended treatment for heart failure (OR 7.6).
• No significant impact was observed for atrial fibrillation (OR 0.94) or hyperlipidemia (OR 1.1).
• Clinicians reported increased use of risk assessment tools for heart failure but not other conditions; overall CDSS usage was low (19%).

Conclusions:

• Computerized advisory CDSS can enhance adherence to guideline-recommended treatment for specific conditions, such as heart failure.
• The system's effectiveness may vary across different cardiovascular conditions.
• Low adoption rates highlight potential barriers to CDSS implementation and utilization in clinical practice.