An electronic health record-enabled obesity database

G Craig Wood, Xin Chu, Christina Manney, William Strodel, Anthony Petrick, Jon Gabrielsen, Jamie Seiler, David Carey, George Argyropoulos, Peter Benotti, Christopher D Still, Glenn S Gerhard, G Craig Wood, Xin Chu, Christina Manney, William Strodel, Anthony Petrick, Jon Gabrielsen, Jamie Seiler, David Carey, George Argyropoulos, Peter Benotti, Christopher D Still, Glenn S Gerhard

Abstract

Background: The effectiveness of weight loss therapies is commonly measured using body mass index and other obesity-related variables. Although these data are often stored in electronic health records (EHRs) and potentially very accessible, few studies on obesity and weight loss have used data derived from EHRs. We developed processes for obtaining data from the EHR in order to construct a database on patients undergoing Roux-en-Y gastric bypass (RYGB) surgery.

Methods: Clinical data obtained as part of standard of care in a bariatric surgery program at an integrated health delivery system were extracted from the EHR and deposited into a data warehouse. Data files were extracted, cleaned, and stored in research datasets. To illustrate the utility of the data, Kaplan-Meier analysis was used to estimate length of post-operative follow-up.

Results: Demographic, laboratory, medication, co-morbidity, and survey data were obtained from 2028 patients who had undergone RYGB at the same institution since 2004. Pre-and post-operative diagnostic and prescribing information were available on all patients, while survey laboratory data were available on a majority of patients. The number of patients with post-operative laboratory test results varied by test. Based on Kaplan-Meier estimates, over 74% of patients had post-operative weight data available at 4 years.

Conclusion: A variety of EHR-derived data related to obesity can be efficiently obtained and used to study important outcomes following RYGB.

Figures

Figure 1
Figure 1
Flow diagram of data used to generate research database.
Figure 2
Figure 2
Kaplan-Meier curves of length of follow-up (N = 2028). The plots are based upon a sample size of 174 patients with 3255 weight measurements for initial BMI of 35–39 kg/m2, 1032 patients with 20,284 weight measurements for initial BMI of 40–49 kg/m2, and 822 patients with 16,226 weight measurements for BMI of 50+ kg/m2.

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Source: PubMed

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