181007 Use of electronic health record to determine prevalence of and aid in treatment for childhood obesity in integrated rural health system

Monday, October 27, 2008: 8:33 AM

Margaret R. Rukstalis, MD , Geisinger Center for Health Research, Geisinger Health System, Danville, PA
Sharon Larson, PhD , Geisinger Center for Health Research, Danville, PA
Mary Ann Blosky, RN , Geisinger Center for Health Research, Danville, PA
William Cochran, MD , Geisinger Center for Health Research, Geisinger Health System, Danville, PA
BACKGROUND: Although < 20% of the US population lives in rural areas, prevalence of obesity in rural adults and children exceed national averages. Investigations of obesity in rural children are needed to guide successful obesity treatment and prevention efforts. PURPOSE: To describe the prevalence of obesity and overweight in rural children < 18 years seen in 2005 or 2006 in the Geisinger Health System 38 clinics servicing 41 counties of central/northeastern Pennsylvania. METHODS: Height, weight, and age were extracted from the electronic health records (EHR) of 75,379 children with at least one height and weight collected at the same visit in 2005-2006. Body mass index (BMI) was calculated and compared to Centers for Disease Control's age specific percentiles. The prevalence of “underweight” (BMI < 5th percentile), “normal weight” (5th percentile< BMI < 85th percentile), “overweight” (85th percentile RESULTS: Overall, 61.7 % of the Geisinger children were “normal” weight, and 3.1% were “underweight”. The prevalence of “overweight” for children was 16.7 % and 19% were obese.

CONCLUSIONS: EHR data reflect higher prevalence of obesity in Geisinger Health Systems' children < age 18 compared to most recent US prevalence of obesity of 17.4% for 3,958 ages 12-19 from 2003-2004 NHANES. Importantly, the EHR will be used to help develop and deliver clinical and research prevention and treatment for childhood obesity to help avoid potential lifelong, devastating and costly consequences associated with obesity.

Learning Objectives:
By the end of the session, participants will be able to: 1. Describe how electronic health record age, weight and height obtained at the same visit can be used to calculate the body mass index compared to Centers for Disease Control’s age specific percentiles. 2. Recognize the importance of prevention, identification and treatment of childhood obesity, especially in underserved rural populations. 3. Discuss how the electronic health record can aid in the development of clinical and research prevention and treatment programs for childhood obesity in underserved populations.

Keywords: Adolescent Health, Obesity

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am a clinician investigator with over a decade of experience conducting clinical trials at the University of Pennsylvania and three years recruiting/conducting childhood obesity treatment research at Geisinger using the electronic health record
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.