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Identifying Children with Lifelong Chronic Conditions for Care Coordination by Using Hospital Discharge Data by John M. Neff; Holly Clifton; Kathleen J. Park; Caren Goldenberg; Jean Popalisky; James W. Stout; Benjamin S. Danielson is a Medicine article available to read on EtoBox.

What is Identifying Children with Lifelong Chronic Conditions for Care Coordination by Using Hospital Discharge Data about?

## Background: Children with lifelong chronic conditions (llcc) are costly, of low prevalence, and a high proportion of patients at children's hospitals. few methods identify these patients. ## Objectives: We sought to identify children with llcc in hospital discharge data for care coordination by using clinical risk groups (crgs), to evaluate the accuracy of this methodology compared with a chart review and to investigate accuracy according to condition groups. ## Methods: Crg software identified llcc children who receive care at a primary care clinic, odessa brown children's clinic, by using seattle children's hospital discharge data. ## Results: There were 5356 active odessa brown children's clinic patients with at least 1 clinic encounter in 2006-2007. six hundred two (11.2%) patients were admitted to seattle children's hospital, and 1703 (31.8%) were seen only in the emergency department over 7 years (2001-2007). one hundred sixty-four (7%) were identified to have a llcc. in a blind review of 200 (33.2%) children with inpatient encounters, the specificity of the crg designation to llcc was 95.0% (95% confidence interval [ci], 90.0%-98.0%), sensitivity 76.3% (95% ci, 63.4%-86.4

Who reads Identifying Children with Lifelong Chronic Conditions for Care Coordination by Using Hospital Discharge Data?

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Author
John M. Neff; Holly Clifton; Kathleen J. Park; Caren Goldenberg; Jean Popalisky; James W. Stout; Benjamin S. Danielson
Publisher
Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 1876-2859)
Published
2010
Language
EN
Field
Medicine (Health Sciences)

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