Rochester Epidemiology Project Data Exploration Portal

Details

• Journal Article:
  Preventing Chronic Disease (PCD)
• Personal Author:
  St. Sauver, Jennifer L. ; Grossardt, Brandon R. ; Finney Rutten, Lila J. ; Roger, Veronique L. ; Majerus, Michelle ; Jensen, Daniel W. ; Brue, Scott M. ; Bock-Goodner, Cynthia M. ; Rocca, Walter A.
• Description:
  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.
• Subjects:
  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Child, Preschool
  • Electronic Health Records
  • Female
  • History, 20th Century
  • History, 21st Century
  More +
• Source:
  Prev Chronic Dis. 15.
• DOI:
  http://dx.doi.org/10.5888/pcd15.170242
• ISSN:
  1545-1151
• Pubmed ID:
  29654640
• Pubmed Central ID:
  PMC5912927
• Document Type:
  Journal Article
• Funding:
  R01 AG034676/AG/NIA NIH HHS/United States ; R01 AG052425/AG/NIA NIH HHS/United States
• Genre:
  Historical Article
• Place as Subject:
  Minnesota ; Wisconsin
• Location:
  North America
• Volume:
  15
• Download URL:
  https://stacks.cdc.gov/view/cdc/53998/cdc_53998_DS1.pdf
• File Type:
  [PDF - 556.48 KB]
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:6ff886e59f49fd46f97d94593641235316f3636cbb85b1f3990b093d323edc2b1138c24b82b86ce32e6d20eae7eeef619ba0a4b769d303d8ac8db57d9e822048