The validity of using ICD-9 codes and pharmacy records to identify patients with chronic obstructive pulmonary disease

Administrative data is often used to identify patients with chronic obstructive pulmonary disease (COPD), yet the validity of this approach is unclear. We sought to develop a predictive model utilizing administrative data to accurately identify patients with COPD. Sequential logistic regression mode...

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Veröffentlicht in:	BMC health services research 2011-02, Vol.11 (1), p.37-37, Article 37
Hauptverfasser:	Cooke, Colin R, Joo, Min J, Anderson, Stephen M, Lee, Todd A, Udris, Edmunds M, Johnson, Eric, Au, David H
Format:	Artikel
Sprache:	eng
Schlagworte:	Acute coronary syndromes Age Aged Airway management Awards & honors Bronchitis Calibration Chronic obstructive pulmonary disease Codes Confidence intervals Critical care Data collection Data entry Data warehouses Design Diagnosis Disease Epidemiology Female Health services Humans International Classification of Diseases Logistic Models Lung cancer Lung diseases Lung diseases, Obstructive Male Medical Records Medical research Medicare Methods Middle Aged Patients Pharmacies - statistics & numerical data Pharmacy Prognosis Pulmonary Disease, Chronic Obstructive - diagnosis Pulmonary Disease, Chronic Obstructive - epidemiology R&D Regression analysis Research & development Spirometry Studies United States - epidemiology United States Department of Veterans Affairs Validity Variables Veterans
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Zusammenfassung:	Administrative data is often used to identify patients with chronic obstructive pulmonary disease (COPD), yet the validity of this approach is unclear. We sought to develop a predictive model utilizing administrative data to accurately identify patients with COPD. Sequential logistic regression models were constructed using 9573 patients with postbronchodilator spirometry at two Veterans Affairs medical centers (2003-2007). COPD was defined as: 1) FEV1/FVC
ISSN:	1472-6963 1472-6963
DOI:	10.1186/1472-6963-11-37