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

Clin Infect Dis. 2017 Jun 15;64(suppl_3):S238-S244. doi: 10.1093/cid/cix080.

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.

Keywords: data management; data quality; PERCH.; electronic data capture.

Publication types

  • Multicenter Study

MeSH terms

  • Africa
  • Asia
  • Case-Control Studies
  • Child
  • Clinical Laboratory Techniques
  • Data Accuracy*
  • Data Collection*
  • Database Management Systems*
  • Humans
  • Internationality
  • Pneumonia / diagnosis*
  • Pneumonia / etiology*
  • Pneumonia, Bacterial / diagnosis
  • Pneumonia, Viral / diagnosis