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Common data elements for predictors of pediatric sepsis: A framework to standardize data collection
- Source :
- PLoS ONE, Vol 16, Iss 6 (2021), PloS one, vol 16, iss 6, PLoS ONE, Vol 16, Iss 6, p e0253051 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- Background Standardized collection of predictors of pediatric sepsis has enormous potential to increase data compatibility across research studies. The Pediatric Sepsis Predictor Standardization Working Group collaborated to define common data elements for pediatric sepsis predictors at the point of triage to serve as a standardized framework for data collection in resource-limited settings. Methods A preliminary list of pediatric sepsis predictor variables was compiled through a systematic literature review and examination of global guideline documents. A 5-round modified Delphi that involved independent voting and active group discussions was conducted to select, standardize, and prioritize predictors. Considerations included the perceived predictive value of the candidate predictor at the point of triage, intra- and inter-rater measurement reliability, and the amount of time and material resources required to reliably collect the predictor in resource-limited settings. Results We generated 116 common data elements for implementation in future studies. Each common data element includes a standardized prompt, suggested response values, and prioritization as tier 1 (essential), tier 2 (important), or tier 3 (exploratory). Branching logic was added to the predictors list to facilitate the design of efficient data collection methods, such as low-cost electronic case report forms on a mobile application. The set of common data elements are freely available on the Pediatric Sepsis CoLab Dataverse and a web-based feedback survey is available through the Pediatric Sepsis CoLab. Updated iterations will continuously be released based on feedback from the pediatric sepsis research community and emergence of new information. Conclusion Routine use of the common data elements in future studies can allow data sharing between studies and contribute to development of powerful risk prediction algorithms. These algorithms may then be used to support clinical decision making at triage in resource-limited settings. Continued collaboration, engagement, and feedback from the pediatric sepsis research community will be important to ensure the common data elements remain applicable across a broad range of geographical and sociocultural settings.
- Subjects :
- Critical Care and Emergency Medicine
Standardization
Delphi Technique
Epidemiology
Computer science
030204 cardiovascular system & hematology
Pediatrics
Medical Conditions
0302 clinical medicine
Tier 2 network
Medicine and Health Sciences
030212 general & internal medicine
Child
Pediatric
Multidisciplinary
Common Data Elements
Hematology
Research Assessment
Mobile Applications
Common Data Element
Systematic review
Infectious Diseases
Medicine
Pediatric Infections
Algorithms
Research Article
Diarrhea
Systematic Reviews
General Science & Technology
Science
MEDLINE
Rashes
Dermatology
Gastroenterology and Hepatology
Research and Analysis Methods
Skin Diseases
03 medical and health sciences
Signs and Symptoms
Clinical Research
Sepsis
Humans
Data collection
Data science
Triage
Data sharing
Early Diagnosis
Medical Risk Factors
Clinical Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....cff395bf4f43aaf1414992777383e1a1