by L. Charles Bailey, David E. Milov, Kelly Kelleher, Michael G. Kahn, Mark Del Beccaro, Feliciano Yu, Thomas Richards, Christopher B. Forrest
Objective To evaluate the validity of multi-institutional electronic health record (EHR) data...
by L. Charles Bailey, David E. Milov, Kelly Kelleher, Michael G. Kahn, Mark Del Beccaro, Feliciano Yu, Thomas Richards, Christopher B. Forrest
Objective To evaluate the validity of multi-institutional electronic health record (EHR) data sharing for surveillance and study of childhood obesity. Methods We conducted a non-concurrent cohort study of 528,340 children with outpatient visits to six pediatric academic medical centers during 2007–08, with sufficient data in the EHR for body mass index (BMI) assessment. EHR data were compared with data from the 2007–08 National Health and Nutrition Examination Survey (NHANES). Results Among children 2–17 years, BMI was evaluable for 1,398,655 visits (56%). The EHR dataset contained over 6,000 BMI measurements per month of age up to 16 years, yielding precise estimates of BMI. In the EHR dataset, 18% of children were obese versus 18% in NHANES, while 35% were obese or overweight versus 34% in NHANES. BMI for an individual was highly reliable over time (intraclass correlation coefficient 0.90 for obese children and 0.97 for all children). Only 14% of visits with measured obesity (BMI ?95%) had a diagnosis of obesity recorded, and only 20% of children with measured obesity had the diagnosis documented during the study period. Obese children had higher primary care (4.8 versus 4.0 visits, p Conclusions Multi-institutional EHR data sharing is a promising, feasible, and valid approach for population health surveillance. It provides a valuable complement to more resource-intensive national surveys, particularly for iterative surveillance and quality improvement. Low rates of obesity diagnosis present a significant obstacle to surveillance and quality improvement for care of children with obesity.