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Support Care Cancer2020;28(4):1659-1666.April 1, 2020Evaluation Study

Evaluation of an automated pediatric malnutrition screen using anthropometric measurements in the electronic health record: a quality improvement initiative.

Charles A Phillips1,2, Judith Bailer3, Emily Foster4, Yimei Li5,6,7, Preston Dogan8, Elizabeth Smith3, Anne Reilly5,6, Jason Freedman5,6
1Division of Oncology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA. phillipsc2@email.chop.edu.
2Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA. phillipsc2@email.chop.edu.
3Department of Clinical Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
4Whiterabbit AI, Sunnyvale, CA, USA.
5Division of Oncology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA.
6Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA.
7Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
8Office of Clinical Quality Improvement, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
PubMed PMC DOI PDF

Abstract

PURPOSE: Malnutrition related to undernutrition in pediatric oncology patients is associated with worse outcomes including increased morbidity and mortality. At a tertiary pediatric center, traditional malnutrition screening practices were ineffective at identifying cancer patients at risk for undernutrition and needing nutrition consultation. METHODS: To efficiently identify undernourished patie…

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