Guideline Adherence for Heart Health

BACKGROUND: Many investigators have identified "gaps" in the quality of care delivered in routine practice in the U.S. According to the Institute of Medicine (IOM) report "Crossing the Quality Chasm: A New Health System for the 21st Century," the "gap" between evidence and practice might be better termed a "chasm". High blood cholesterol was identified as one of 15 high priority conditions for Department of Health and Human Services (DHHS) initial focus. In addition, the report stresses the importance of increased use of information technology to support clinical and administrative processes. Six major aims are spelled out in the IOM report "health care should be safe, effective, patient-centered, timely, efficient and equitable." We have developed an intervention that is grounded in this philosophy. Specifically, we are focusing on a guideline that promotes the timely use of safe and effective interventions in a patient-tailored manner. A hand-held computerized decision support tool will be a core component of the intervention to support consistent and efficient medical decision-making. Although our goal is to improve overall adherence with the chosen guideline, we expect that the quality improvement process will result in increased equity, reflected in reduced disparities with respect to appropriate treatment between patient subgroups defined by gender, race/ethnicity, and age. DESIGN NARRATIVE: GLAD Heart is a randomized trial. The study intervention (academic detailing on ATPIII and a hand-held computerized decision support tool that provides patient-specific, ATPIII-based risk stratification and treatment recommendations for cholesterol management) and an attention control intervention (academic detailing on JNC7 and automated blood pressure devices) will be delivered at the level of randomization which is the practice. All practices (N=64) will receive usual care, consisting of guideline dissemination, baseline performance feedback, continuing education, and patient education materials. Outcomes will be assessed based on patient level data from chart reviews (N 20,000) of adult patients eligible for cholesterol measurement. To assess ATPIII-related outcomes, we will compare changes in baseline and follow-up chart abstraction between the two arms. To assess JNC7-related outcomes, we will compare differences in follow-up chart abstraction only between the two arms. Appropriate analytic methods will be used to analyze these correlated data. Impact evaluation for both arms will be conducted via baseline and follow-up surveys of participating providers. Process evaluation will be conducted by tracking use of the PDA-based tool and monitoring appropriate use of the automated blood pressure devices. Other tracking information will be collected to ensure intervention and data collection success.