Validity of the minimum data set in identifying urinary tract infections in residents of long-term care facilities.
OBJECTIVE
To determine the validity of the Minimum Data Set (MDS) to detect cases of urinary tract infection (UTI) that meet specific evidence-based criteria.


METHODS
Prospective surveillance.


METHODS
Sixteen long-term care facilities (LTCFs) in Idaho.


METHODS
Residents of participating LTCFs for whom an MDS form was completed.


METHODS
Prospective surveillance of all types of infection, including UTI, and data collection on clinical manifestation, microbiology, and treatment; MDS data on identification of UTI.


RESULTS
A stratified analysis demonstrated that the validity of MDS was 14% when using the evidence-based criteria for UTIs as the criterion standard. The estimated sensitivity and specificity of MDS entries were 57.9% and 86.5%, respectively. The estimated positive and negative predictive values for the study population were 13.9% and 98.2%, respectively.


CONCLUSIONS
MDS has the potential to be an important measure of quality in the long-term care setting. When used to detect residents with UTIs, it appears to greatly overestimate the number of cases while adequately screening out residents without UTIs. These problems may be overcome by providing more-explicit definitions for UTIs to be used by providers when completing MDS information on individual residents.
Stevenson
Kurt B
KB
Qualis Health, Boise, Idaho, USA. kurts@qualishealth.org
Moore
James W
JW
Sleeper
Barbara
B
D000465:Algorithms; D016001:Confidence Intervals; D003625:Data Collection; D006801:Humans; D017053:Infection Control; D008134:Long-Term Care; D009735:Nursing Homes; D017063:Outcome Assessment, Health Care; D011787:Quality of Health Care; D012680:Sensitivity and Specificity; D014546:Urinary Catheterization; D014552:Urinary Tract Infections / Q000175:diagnosis* / Q000517:prevention & control