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Patient-level information underlying overdiagnosis of urinary tract infections in nursing homes: A discrete choice experiment

Published online by Cambridge University Press:  08 September 2022

Christopher J. Wretman
Affiliation:
Wretman Research, LLC, Hillsborough, North Carolina
Marcella H. Boynton
Affiliation:
Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
John S. Preisser
Affiliation:
Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
Sheryl Zimmerman
Affiliation:
Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina School of Social Work, University of North Carolina, Chapel Hill, North Carolina The Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, North Carolina
Christine E. Kistler*
Affiliation:
The Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, North Carolina Department of Family Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
*
Author for correspondence: Christine E. Kistler, E-mail: Christine_Kistler@med.unc.edu

Abstract

The overdiagnosis of urinary tract infections (UTIs) in nursing home residents is a significant public health threat. Using a discrete choice experiment and a diagnostic guideline, we examined which patient-level information was associated with the overdiagnosis of UTIs and found that urinalysis results and lower urinary tract status were most associated.

Type
Concise Communication
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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