Open Access Research article

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

Colin R Cooke12*, Min J Joo34, Stephen M Anderson5, Todd A Lee36, Edmunds M Udris5, Eric Johnson7 and David H Au58

Author Affiliations

1 Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA

2 Robert Wood Johnson Foundation Clinical Scholars Program, University of Michigan, Ann Arbor, MI, USA

3 Center for Management of Complex Chronic Care, Edward Hines Jr. VA Hospital, Hines, IL, USA

4 Section of Pulmonary, Critical Care, Sleep and Allergy, University of Illinois at Chicago, Chicago, IL, USA

5 Health Services Research and Development, VA Puget Sound Health Care System, Seattle, WA, USA

6 Center for Pharmacoeconomic Research and Department of Pharmacy Practice, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, USA

7 Group Health Research Institute, Seattle, WA, USA

8 Division of Pulmonary & Critical Care Medicine, University of Washington, Seattle, WA, USA

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BMC Health Services Research 2011, 11:37  doi:10.1186/1472-6963-11-37

Published: 16 February 2011

Additional files

Additional file 1:

Study cohort flow diagram. This figure presents a flow diagram describing the exclusion criteria for the primary analysis.

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Additional file 2:

Simulated positive predictive values (PPV) and negative predictive values (NPV) for Model 88, by prevalence of COPD. This table describes how PPV and NPV for Model 8 vary depending on the prevalence of COPD in the population studied. Because the prevalence of COPD in our study population was higher than that in the general population, we simulated what the PPV and NPV would be if the COPD prevalence were 10% to 20%.

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Additional file 3:

Discriminative performance (AUC) for original models compared to models when cohort limited to patients greater than 40 years-old. This table illustrates the changes to each model's performance when the cohort excluded all patients <40 years-old.

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