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Pediatric Chronic Critical Illness: Protocol for a Scoping Review
David Zorko1, James Dayre McNally2,3, Bram Rochwerg4,5,6
1Department of Pediatrics, McMaster University, Hamilton, ON, Canada.
This study reviews definitions of chronic critical illness (CCI) in children, aiming to establish a consensus case definition. It uses a novel hybrid approach combining crowdsourcing and machine learning for efficient data review.
Area of Science:
- Pediatric critical care medicine
- Health services research
- Medical informatics
Background:
- Increased survival in pediatric intensive care units (PICUs) leads to more children with chronic complex medical conditions.
- A subset of these children face recurrent critical illness, high morbidity, and mortality, termed chronic critical illness (CCI).
- Pediatric CCI remains understudied with no universally accepted case definition.
Purpose of the Study:
- To conduct a scoping review of how pediatric chronic critical illness (CCI) is defined in existing literature.
- To analyze methodologies used for developing current definitions and identify patient characteristics and outcomes studied.
- To inform the development of a consensus case definition for pediatric CCI.
Main Methods:
- Systematic search of four electronic databases for studies on pediatric CCI and prolonged PICU admission.
- Hybrid crowdsourcing and machine learning (ML) methodology for citation screening.
- Independent, duplicate screening and data abstraction by two reviewers, focusing on definitions, demographics, clinical characteristics, and outcomes.
Main Results:
- Database searching, crowd reviewer recruitment, and ML algorithm development commenced in March 2021.
- Citation screening and data abstraction were completed by April 2021.
- Final data verification is ongoing, with analysis and results expected by fall 2021.
Conclusions:
- The scoping review will delineate existing definitions of pediatric CCI and associated patient characteristics.
- Findings will guide the creation of a consensus case definition for pediatric CCI and prioritize future research.
- The study will validate the use of crowdsourcing and ML for efficient large-scale scoping reviews.
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