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Interobserver Variability in the Assessment of Clinical Criteria for Suspected Urinary Tract Infection in Nursing Home Residents

Published online by Cambridge University Press:  02 January 2015

Manisha Juthani-Mehta*
Affiliation:
Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
Mary Tinetti
Affiliation:
Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
Eleanor Perrelli
Affiliation:
Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
Virginia Towle
Affiliation:
Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
Peter H. Van Ness
Affiliation:
Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
Vincent Quagliarello
Affiliation:
Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
*
Yale University School of Medicine, Department of Internal Medicine, Section of Infectious Disease, LMP 5040A, PO Box 208022, New Haven, CT 06520, ([email protected])

Abstract

We determined the interobserver variability in the assessment of clinical criteria for urinary tract infection (UTI) in nursing home residents. Pairs of nursing home staff caring for 30 residents were interviewed at the time UTI was suspected. At least one measure from each of 7 clinical criteria categories was reliably assessed by nursing home staff members.

Type
Concise Communications
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2008

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References

1.Nicolle, LE. Urinary tract infection in long-term-care facility residents. Clin Infect Dis 2000;31:757761.Google Scholar
2.Eberle, CM, Winsemius, D, Garibaldi, RA. Risk factors and consequences of bacteriuria in non-catheterized nursing home residents. J Gerontol 1993;48:M266M271.Google Scholar
3.McGeer, A, Campbell, B, Emori, TG, et al.Definitions of infection for surveillance in long-term care facilities. Am J Infect Control 1991;19:17.CrossRefGoogle ScholarPubMed
4.Appendix, PP. In: Centers for Medicare and Medicaid (CMS) Manual System, State Operations Manual. 2005:183184.Google Scholar
5.Loeb, M, Bentley, DW, Bradley, S, et al.Development of minimum criteria for the initiation of antibiotics in residents of long-term-care facilities: results of a consensus conference. Infect Control Hosp Epidemiol 2001;22:120124.CrossRefGoogle ScholarPubMed
6.Hawes, C, Morris, JN, Phillips, CD, Mor, V, Fries, BE, Nonemaker, S. Reliability estimates for the Minimum Data Set for nursing home resident assessment and care screening (MDS). Gerontologist 1995;35:172178.CrossRefGoogle ScholarPubMed
7.Byrt, T, Bishop, J, Carlin, JB. Bias, prevalence and kappa. J Clin Epidemiol 1993;46:423429.Google Scholar
8.Kopp, BJ, Erstad, BL, Allen, ME, Theodorou, AA, Priestley, G. Medication errors and adverse drug events in an intensive care unit: direct observation approach for detection. Crif Care Med 2006;34:415425.CrossRefGoogle Scholar
9.Landis, IR, Koch, GG. The measurement of observer agreement for categorical data. Biometrics 1977;33:159174.CrossRefGoogle ScholarPubMed
10.Boscia, IA, Kobasa, WD, Abrutyn, E, Levison, ME, Kaplan, AM, Kaye, D. Lack of association between bacteriuria and symptoms in the elderly. Am J Med 1986;81:979982.Google Scholar
11.Inouye, SK, van Dyck, CH, Alessi, CA, Balkin, S, Siegal, AP, Horwitz, RI. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med 1990;113:941948.CrossRefGoogle Scholar
12.Juthani-Mehta, M, Tinetti, M, Perrelli, E, Towle, V, Van Ness, PH, Quag-liarello, V. Diagnostic accuracy of criteria for urinary tract infection in a cohort of nursing home residents. J Am Geriatr Soc 2007;55:10721077.Google Scholar