Accuracy of diagnosis codes to identify febrile young infants using administrative data

BACKGROUND Administrative data can be used to determine optimal management of febrile infants and aid clinical practice guideline development. OBJECTIVE Determine the most accurate International Classification of Diseases, Ninth Revision (ICD‐9) diagnosis coding strategies for identification of febr...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of hospital medicine 2015-12, Vol.10 (12), p.787-793
Hauptverfasser:	Aronson, Paul L., Williams, Derek J., Thurm, Cary, Tieder, Joel S., Alpern, Elizabeth R., Nigrovic, Lise E., Schondelmeyer, Amanda C., Balamuth, Fran, Myers, Angela L., McCulloh, Russell J., Alessandrini, Evaline A., Shah, Samir S., Browning, Whitney L., Hayes, Katie L., Feldman, Elana A., Neuman, Mark I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Codes Confidence intervals Cross-Sectional Studies Databases, Factual - standards Female Fever - diagnosis Fever - epidemiology Hospitals Humans Infant Infant, Newborn International Classification of Diseases - standards Male Medical records Patient Discharge - standards Retrospective Studies Statistics as Topic - standards
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	BACKGROUND Administrative data can be used to determine optimal management of febrile infants and aid clinical practice guideline development. OBJECTIVE Determine the most accurate International Classification of Diseases, Ninth Revision (ICD‐9) diagnosis coding strategies for identification of febrile infants. DESIGN Retrospective cross‐sectional study. SETTING Eight emergency departments in the Pediatric Health Information System. PATIENTS Infants aged
ISSN:	1553-5592 1553-5606
DOI:	10.1002/jhm.2441