OBJECTIVES: To determine the validity of the Minimum Data Set (MDS) to detect cases of urinary tract infection (UTI) that meet specific evidence-based criteria. DESIGN: Prospective surveillance. SETTING: Sixteen long-term care facilities (LTCFs) in Idaho. PARTICIPANTS: Residents of participating LTCFs for whom an MDS form was completed. MEASUREMENTS: 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. CONCLUSION: 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.
OBJECTIVES: To determine the validity of the Minimum Data Set (MDS) to detect cases of urinary tract infection (UTI) that meet specific evidence-based criteria. DESIGN: Prospective surveillance. SETTING: Sixteen long-term care facilities (LTCFs) in Idaho. PARTICIPANTS: Residents of participating LTCFs for whom an MDS form was completed. MEASUREMENTS: 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. CONCLUSION: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.
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