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Published on: April 25, 2014
American College of Cardiology Body Mass Index Counseling Quality Improvement Initiative
Ashraf S Harahsheh1, Arash Sabati2, Jeffrey Anderson3
1Division of Cardiology, Department of Pediatrics, Children's National Hospital, George Washington University School of Medicine and Health Sciences, 111 Michigan Ave, NW, Washington, DC, 20010, USA. aharahsh@childrensnational.org.
Insights
Pediatric cardiology clinics saw low rates of counseling for overweight and obese children, with only 54% receiving care. A collaborative quality improvement project increased this rate, demonstrating the effectiveness of shared learning for improving pediatric cardiovascular risk factor management.
Area of Science:
- Pediatric Cardiology
- Quality Improvement Science
- Public Health
Background:
- Overweight and obesity are significant cardiovascular risk factors in children, potentially worsening outcomes for those with heart disease.
- The American College of Cardiology (ACC) established a quality metric to identify and counsel overweight/obese children in cardiology clinics.
- A multicenter collaborative learning Quality Improvement (QI) Project utilized this metric via the ACC Quality Network (QNet).
Purpose of the Study:
- To increase the percentage of children (ages 3-18) with a Body Mass Index (BMI) above the 85th percentile receiving appropriate counseling during cardiology clinic visits.
- To evaluate the effectiveness of a multicenter collaborative learning approach in improving the implementation of the ACC BMI metric.
Main Methods:
- 32 participating centers submitted quarterly data on patient counseling rates to QNet.
- A Key Driver Diagram guided improvement efforts, with centers customizing interventions.
- Network-wide educational sessions facilitated shared learning and experience exchange. Statistical process control charts monitored progress.
Main Results:
- Data from 27,511 patient visits between April 2017 and September 2019 were analyzed.
- The overall counseling rate across participating centers reached 54%.
- The BMI counseling rate improved from 25% in Q2 2017 to 54% in Q3 2019, though individual center performance varied widely (10%-100%).
Conclusions:
- The overall rate of identifying and counseling overweight/obese children in ambulatory cardiology clinics remains low, with significant performance variation among centers.
- Collaborative learning approaches can effectively drive improvement and increase the implementation of quality metrics.
- Individual centers demonstrated improvement through this multicenter learning initiative, highlighting its potential for broader application.
Abstract:
Overweight/obesity, prevalent cardiovascular risk factors in children, can be associated with increased risk of adverse outcomes in children with heart disease. The American College of Cardiology (ACC) developed quality metrics including a BMI metric related to identifying and counseling overweight and obese children presenting to cardiology clinics. This metric was used for a multicenter collaborative learning Quality improvement (QI) Project through the ACC Quality Network (QNet). Our aim was to increase the percentage of children between ages 3 and 18 years presenting to cardiology clinics at participating centers with BMI > 85th percentile who received appropriate counseling. Participating centers submitted data quarterly to QNet for a sample of patients who received counseling. A Key Driver Diagram was created to help teams drive improvement. Individual centers customized interventions and participated in network-wide educational learning sessions about QI and shared experience. Statistical process control charts were used. From 04/01/2017 to 09/30/2019, 27,511 patient visits were included. Among 32 participating centers, overall counseling rate was 54%. The BMI counseling rate increased from 25% in 2017Q2 to 54% in 2019Q3. There was a wide variation from 10 to 100% in the performance of individual centers. The overall rate of identification and counseling of overweight and obese children presenting to ambulatory cardiology clinics in participating centers is low. There is wide variation in the performance of centers, providing an opportunity for improvement. Using this multicenter learning approach, individual centers have demonstrated improvement. This demonstrates that collaborative learning approaches in QI can increase implementation of the metric.
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