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Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5447839/ https://www.ncbi.nlm.nih.gov/pubmed/28575357 http://dx.doi.org/10.1093/cid/cix080 |
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author | Watson, Nora L. Prosperi, Christine Driscoll, Amanda J. Higdon, Melissa M. Park, Daniel E. Sanza, Megan DeLuca, Andrea N. 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 Deloria Knoll, Maria |
author_facet | Watson, Nora L. Prosperi, Christine Driscoll, Amanda J. Higdon, Melissa M. Park, Daniel E. Sanza, Megan DeLuca, Andrea N. 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 Deloria Knoll, Maria |
author_sort | Watson, Nora L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5447839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54478392017-06-02 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 M. Park, Daniel E. Sanza, Megan DeLuca, Andrea N. 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 Deloria Knoll, Maria Clin Infect Dis Supplement Article 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. Oxford University Press 2017-06-15 2017-05-27 /pmc/articles/PMC5447839/ /pubmed/28575357 http://dx.doi.org/10.1093/cid/cix080 Text en © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Supplement Article Watson, Nora L. Prosperi, Christine Driscoll, Amanda J. Higdon, Melissa M. Park, Daniel E. Sanza, Megan DeLuca, Andrea N. 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 Deloria Knoll, Maria Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia |
title | Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia |
title_full | Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia |
title_fullStr | Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia |
title_full_unstemmed | Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia |
title_short | Data Management and Data Quality in PERCH, a Large International Case-Control Study of Severe Childhood Pneumonia |
title_sort | data management and data quality in perch, a large international case-control study of severe childhood pneumonia |
topic | Supplement Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5447839/ https://www.ncbi.nlm.nih.gov/pubmed/28575357 http://dx.doi.org/10.1093/cid/cix080 |
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