|
Sensitivity
|
Specificity
|
|
|
Connecticut
|
48%
|
99%
|
|
New York
|
74%
|
95%
|
|
Oregon
|
72%
|
99%
|
|
Colorado
|
83%
|
99%
|
These 4 studies show that 17-53% of CLABSI cases were misclassified as non-CLABSIs, primarily due to labeling CLABSIs as secondary bacteremias. Interestingly, the Colorado study attempted to delineate the underlying causes of misclassification. Two reasons were found to be significant: lack of an electronic medical record or data mining software, and review of potential cases by an infectious diseases physician (i.e., post-surveillance certification).
Given all the attention paid to publicly reported HAI data and the important implications with regards to reimbursement, it's imperative that hospitals produce valid data. However, validation projects remain infrequent due to their cost. We have a long way to go...
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