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Measuring Pneumonia-Related Mortality Using Administrative Data: Coding and Consequences

Scott A. Flanders, MD; and Sanjay Saint, MD, MPH
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From University of Michigan Medical School, Ann Arbor, Michigan; and Veterans Affairs Ann Arbor Healthcare System and University of Michigan Medical School, Ann Arbor, Michigan.

Disclaimer: The views expressed in this editorial are those of the authors and do not necessarily reflect the position or policy of the U.S. Department of Veterans Affairs.

Acknowledgment: The authors thank Steven J. Bernstein, MD, MPH, University of Michigan, for providing comments on an earlier version of the editorial and Latoya Kuhn, MPH, for assistance with preparation of the manuscript.

Potential Conflicts of Interest: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M14-0199.

Requests for Single Reprints: Scott A. Flanders, MD, 1500 East Medical Center Drive, 3119 Taubman Center, Ann Arbor, MI 48109; e-mail, flanders@umich.edu.

Current Author Addresses: Dr. Flanders: 1500 East Medical Center Drive, 3119 Taubman Center, Ann Arbor, MI 48109.

Dr. Saint: North Campus Research Complex, 2800 Plymouth Road, Building 16, Room 430W, University of Michigan, Ann Arbor, MI 48109-2800.


Ann Intern Med. 2014;160(6):430-431. doi:10.7326/M14-0199
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In this issue, Rothberg and colleagues evaluate how variability of in-hospital coding of patients with pneumonia affects the risk-standardized mortality rates of these patients. The editorialists discuss the unintended consequences of using administrative data to compare hospitals. They also examine ways to improve value-based purchasing.

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