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

June 3, 2017 at 1:47 pm

Clinical Infectious Diseases June 15, 2017 V.64 Suppl.3

Nora L. Watson; Christine Prosperi; Amanda J. Driscoll; Melissa M. Higdon; Daniel E. Park …

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.

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Entry filed under: Antimicrobianos, Bacterias, Bacteriemias, Epidemiología, Infecciones respiratorias, Infecciones virales, Inmunizaciones, Metodos diagnosticos, Sepsis.

Standardization of Clinical Assessment and Sample Collection Across All PERCH Study Sites Standardization of Laboratory Methods for the PERCH Study


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