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Predicting High-cost Pediatric Patients

Derivation and Validation of a Population-based Model

Bibliographic Data

ID9097887
AuthorsLindsey J Leininger, Greyce Rocha Beltrame, Brendan Saloner (0000-0001-9013-3023), Letícia Saldanha de Lima, Laura R Wherry, Gabriela Weber Itaguy, Juliana Flores Martins, Fernanda Pires Jaeger (0000-0002-7094-7764)
Year2015
Volume53
Issue8
Pages729-735
Publication date2015-08-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000000391
PMID26172939
OpenAlexW26172939
LanguageEN
Citations received1
References cited34

The proposed prediction tool, comprising a simple series of PRH measures, accurately stratifies pediatric populations by their risk of incurring high health care costs

Humanities · Sociology · Health, Nursing, Elderly Care · Maternal and Neonatal Healthcare · Philosophy · Psychology · Youth, Drugs, and Violence

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  • Prediction of Coronary Heart Disease Using Risk Factor Categories

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  • Assessing Systems Quality in a Changing Health Care Environment

    Open Access•Bonnie B Strickland, Bonnie Strickland et al.•Maternal and Child Health Journal•2014

  • Differentiating Subgroups of Children with Special Health Care Needs by Health Status and Complexity of Health Care Needs

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  • What is the Prevalence of Children with Special Health Care Needs? Toward an Understanding of Variations in Findings and Methods Across Three National Surveys

    Open Access•Christina Bethell, Christina D Bethell et al.•Maternal and Child Health Journal•2007

  • Geomedicine

    Andrew F Beck, 充 鈴木 et al.•American Journal of Public Health•2012

  • The Relationship of Residential Instability to Medical Care Utilization Among Poor Mothers in New York City

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Citations per year0.14
Citation span2019 - 2019 (1)
Highly citedNo

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