Prevalence and Predictors of Unhealthy Weight Gain in Pregnancy.

Importance: Weight gain during pregnancy affects obesity risk in offspring.

Objective: To assess weight gain among UW Health prenatal patients and to identify predictors of unhealthy gestational weight gain.

Methods: Retrospective cohort study of women delivering at UW Health during 2007-2012.

The Prevalence of Type 2 Diabetes Mellitus in a Wisconsin Hmong Patient Population.

Purpose: Wisconsin's largest Asian population, the Hmong, may be at high risk for type 2 diabetes. However, there are few population-based studies investigating the prevalence of diabetes in this population. This study compared the prevalence of diabetes between Hmong and non-Hispanic white patients of the University of Wisconsin departments of family medicine, pediatrics, and internal medicine clinics.

Electronic health records and community health surveillance of childhood obesity.

Background: Childhood obesity remains a public health concern, and tracking local progress may require local surveillance systems. Electronic health record data may provide a cost-effective solution.

Purpose: To demonstrate the feasibility of estimating childhood obesity rates using de-identified electronic health records for the purpose of public health surveillance and health promotion.

Sparse modeling of spatial environmental variables associated with asthma.

Geographically distributed environmental factors influence the burden of diseases such as asthma. Our objective was to identify sparse environmental variables associated with asthma diagnosis gathered from a large electronic health record (EHR) dataset while controlling for spatial variation. An EHR dataset from the University of Wisconsin's Family Medicine, Internal Medicine and Pediatrics Departments was obtained for 199,220 patients aged 5-50years over a three-year period.

Estimating Wisconsin asthma prevalence using clinical electronic health records and public health data.

Objectives: We compared a statewide telephone health survey with electronic health record (EHR) data from a large Wisconsin health system to estimate asthma prevalence in Wisconsin.

Methods: We developed frequency tables and logistic regression models using Wisconsin Behavioral Risk Factor Surveillance System and University of Wisconsin primary care clinic data. We compared adjusted odds ratios (AORs) from each model.

The theory and application of UW ehealth-PHINEX, a clinical electronic health record-public health information exchange.

Background: Electronic health records (EHRs) hold the promise of improving clinical quality and population health while reducing health care costs. However, it is not clear how these goals can be achieved in practice.

Methods: Clinician-led teams developed EHR data extracts to support chronic disease use cases.