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 Humans Infant International Classification Of Diseases Internet Male Medical Record Linkage Medical Records Systems, Computerized/history Middle Aged Young Adult

  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
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:6ff886e59f49fd46f97d94593641235316f3636cbb85b1f3990b093d323edc2b1138c24b82b86ce32e6d20eae7eeef619ba0a4b769d303d8ac8db57d9e822048
• Download URL:
  https://stacks.cdc.gov/view/cdc/53998/cdc_53998_DS1.pdf
• File Type:
  [PDF - 556.48 KB ]