Abstract
The Pneumonia Etiology Research for Child Health (PERCH) study is the largest multicountry etiology study of pediatric pneumonia undertaken in the past decades. The study enrolled 423hospitalized cases and 532controls over years across research sites in 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 900cases 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | S238-S244 |
| Journal | Clinical Infectious Diseases |
| Volume | 64 |
| DOIs | |
| State | Published - Jan 1 2017 |
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Keywords
- Data management
- Data quality
- Electronic data capture
- PERCH
ASJC Scopus subject areas
- Microbiology (medical)
- Infectious Diseases
Cite this
Data management and data quality in PERCH, a large international case-control study of severe childhood pneumonia. / Watson, Nora L.; Prosperi, Christine; Driscoll, Amanda J.; Higdon, Melissa; Park, Daniel E.; Sanza, Megan; Deluca, Andrea; Awori, Juliet O.; Goswami, Doli; Hammond, Emily; Hossain, Lokman; Johnson, Catherine; Kamau, Alice; Kuwanda, Locadiah; Moore, David P.; Neyzari, Omid; Onwuchekwa, Uma; Parker, David; Sapchookul, Patranuch; Seidenberg, Phil; Shamsul, Arifin; Siazeele, Kazungu; Srisaengchai, Prasong; Sylla, Mamadou; Levine, Orin S.; Murdoch, David R.; O'Brien, Katherine L; Wolff, Mark; Knoll, Maria Deloria.
In: Clinical Infectious Diseases, Vol. 64, 01.01.2017, p. S238-S244.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Data management and data quality in PERCH, a large international case-control study of severe childhood pneumonia
AU - Watson, Nora L.
AU - Prosperi, Christine
AU - Driscoll, Amanda J.
AU - Higdon, Melissa
AU - Park, Daniel E.
AU - Sanza, Megan
AU - Deluca, Andrea
AU - Awori, Juliet O.
AU - Goswami, Doli
AU - Hammond, Emily
AU - Hossain, Lokman
AU - Johnson, Catherine
AU - Kamau, Alice
AU - Kuwanda, Locadiah
AU - Moore, David P.
AU - Neyzari, Omid
AU - Onwuchekwa, Uma
AU - Parker, David
AU - Sapchookul, Patranuch
AU - Seidenberg, Phil
AU - Shamsul, Arifin
AU - Siazeele, Kazungu
AU - Srisaengchai, Prasong
AU - Sylla, Mamadou
AU - Levine, Orin S.
AU - Murdoch, David R.
AU - O'Brien, Katherine L
AU - Wolff, Mark
AU - Knoll, Maria Deloria
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The Pneumonia Etiology Research for Child Health (PERCH) study is the largest multicountry etiology study of pediatric pneumonia undertaken in the past decades. The study enrolled 423hospitalized cases and 532controls over years across research sites in 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 900cases 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.
AB - The Pneumonia Etiology Research for Child Health (PERCH) study is the largest multicountry etiology study of pediatric pneumonia undertaken in the past decades. The study enrolled 423hospitalized cases and 532controls over years across research sites in 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 900cases 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.
KW - Data management
KW - Data quality
KW - Electronic data capture
KW - PERCH
UR - http://www.scopus.com/inward/record.url?scp=85038080749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85038080749&partnerID=8YFLogxK
U2 - 10.1093/cid/cix080
DO - 10.1093/cid/cix080
M3 - Article
C2 - 28575357
AN - SCOPUS:85038080749
VL - 64
SP - S238-S244
JO - Clinical Infectious Diseases
JF - Clinical Infectious Diseases
SN - 1058-4838
ER -