TY  - JOUR
AU  - St. Sauver, Jennifer L.
AU  - Grossardt, Brandon R.
AU  - Finney Rutten, Lila J.
AU  - Roger, Veronique L.
AU  - Majerus, Michelle
AU  - Jensen, Daniel W.
AU  - Brue, Scott M.
AU  - Bock-Goodner, Cynthia M.
AU  - Rocca, Walter A.
PY  - 2018
TI  - Rochester Epidemiology Project Data Exploration Portal
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E42
VL  - 15
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - INTRODUCTION  The goal of this project was to develop an interactive, web-based tool to explore patterns of prevalence and co-occurrence of diseases using data from the expanded Rochester Epidemiology Project (E-REP) medical records-linkage system. METHODS  We designed the REP Data Exploration Portal (REP DEP) to include summary information for people who lived in a 27-county region of southern Minnesota and western Wisconsin on January 1, 2014 (n = 694,506; 61% of the entire population). We obtained diagnostic codes of the International Classification of Diseases, 9th edition, from the medical records-linkage system in 2009 through 2013 (5 years) and grouped them into 717 disease categories. For each condition or combination of 2 conditions (dyad), we calculated prevalence by dividing the number of persons with a specified condition (numerator) by the total number of persons in the population (denominator). We calculated observed-to-expected ratios (OERs) to test whether 2 conditions co-occur more frequently than would co-occur as a result of chance alone. RESULTS  We launched the first version of the REP DEP in May 2017. The REP DEP can be accessed at http://rochesterproject.org/portal/. Users can select 2 conditions of interest, and the REP DEP displays the overall prevalence, age-specific prevalence, and sex-specific prevalence for each condition and dyad. Also displayed are OERs overall and by age and sex and maps of county-specific prevalence of each condition and OER. CONCLUSION  The REP DEP draws upon a medical records-linkage system to provide an innovative, rapid, interactive, free-of-charge method to examine the prevalence and co-occurrence of 717 diseases and conditions in a geographically defined population.
SN  - 1545-1151
UR  - https://doi.org/10.5888/pcd15.170242
DO  - 10.5888/pcd15.170242
ER  - 
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