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Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia.

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  • Additional Information
    • Publication Information:
      Health Sciences Research Commons
    • Publication Date:
      2017
    • Collection:
      George Washington University: Health Sciences Research Commons (HSRC)
    • Abstract:
      The Pneumonia Etiology Research for Child Health (PERCH) study is the largest multicountry etiology study of pediatric pneumonia undertaken in the past 3 decades. The study enrolled 4232 hospitalized cases and 5325 controls over 2 years across 9 research sites in 7 countries in Africa and Asia. The volume and complexity of data collection in PERCH presented considerable logistical and technical challenges. The project chose an internet-based data entry system to allow real-time access to the data, enabling the project to monitor and clean incoming data and perform preliminary analyses throughout the study. To ensure high-quality data, the project developed comprehensive quality indicator, data query, and monitoring reports. Among the approximately 9000 cases and controls, analyzable laboratory results were available for ≥96% of core specimens collected. Selected approaches to data management in PERCH may be extended to the planning and organization of international studies of similar scope and complexity.
    • File Description:
      application/pdf
    • Relation:
      https://hsrc.himmelfarb.gwu.edu/sphhs_epibiostats_facpubs/371; https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1372&context=sphhs_epibiostats_facpubs
    • Online Access:
      https://hsrc.himmelfarb.gwu.edu/sphhs_epibiostats_facpubs/371
      https://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1372&context=sphhs_epibiostats_facpubs
    • Rights:
      http://creativecommons.org/licenses/by/4.0/
    • Accession Number:
      edsbas.8B2C18AC