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Substantial Variation in Hospital Rankings after Adjusting for Hospital-Level Predictors of Publicly-Reported Hospital-Associated Clostridium difficile Infection Rates

Published online by Cambridge University Press:  13 January 2015

Rupak Datta ,
N. Neely Kazerouni ,
Jon Rosenberg ,
Vinh Q. Nguyen ,
Michael Phelan ,
John Billimek ,
Chenghua Cao ,
Patricia McLendon ,
Kate Cummings  and
Susan S. Huang
Rupak Datta*
Affiliation:
Division of Infectious Diseases, University of California Irvine Medical Center, Orange, California Health Policy Research Institute, University of California Irvine School of Medicine, Irvine, California
N. Neely Kazerouni
Affiliation:
Center for Healthcare Quality, California Department of Public Health, Richmond, California
Jon Rosenberg
Affiliation:
Center for Healthcare Quality, California Department of Public Health, Richmond, California
Vinh Q. Nguyen
Affiliation:
Department of Statistics, University of California Irvine, Irvine, California.
Michael Phelan
Affiliation:
Department of Statistics, University of California Irvine, Irvine, California.
John Billimek
Affiliation:
Health Policy Research Institute, University of California Irvine School of Medicine, Irvine, California
Chenghua Cao
Affiliation:
Division of Infectious Diseases, University of California Irvine Medical Center, Orange, California Health Policy Research Institute, University of California Irvine School of Medicine, Irvine, California
Patricia McLendon
Affiliation:
Center for Healthcare Quality, California Department of Public Health, Richmond, California
Kate Cummings
Affiliation:
Center for Healthcare Quality, California Department of Public Health, Richmond, California
Susan S. Huang
Affiliation:
Division of Infectious Diseases, University of California Irvine Medical Center, Orange, California Health Policy Research Institute, University of California Irvine School of Medicine, Irvine, California
*
Address correspondence to Rupak Datta, MD, PhD, University of California Irvine School of Medicine, Health Policy Research Institute, 100 Theory, Suite 110, Irvine, CA 92697 (rdatta3@gmail.com).
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Abstract

Across 366 California hospitals, we identified hospital-level characteristics predicting increased hospital-associated Clostridium difficile infection (HA-CDI) rates including more licensed beds, teaching and long-term acute care (LTAC) hospitals, and polymerase chain reaction testing. Adjustment for these characteristics impacted rankings in 24% of teaching hospitals, 13% of community hospitals, and 11% of LTAC hospitals.

Infect Control Hosp Epidemiol 2015;00(0): 1–3

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 36 , Issue 4 , April 2015 , pp. 464 - 466
Copyright
© 2015 by The Society for Healthcare Epidemiology of America. All rights reserved 

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Footnotes

PREVIOUS PRESENTATIONS: Preliminary findings of this study were presented at IDWeek 2012 in San Diego, California, (October 17–21, 2012) on October 18, 2012 (Abstract 36359, Poster Board #350, Session #52 on C. difficile Epidemiology) and the 2013 Counsel of State and Territorial Epidemiologists Annual Conference in Pasadena, California (June 9–13, 2013) on June 12, 2013 (Abstract 2427, Session: Late-Breaker Abstracts).

References

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