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Despite significant advances in technological methods for hand hygiene surveillance, a lack of evidence prohibits comparison of systems to one another or against the current gold standard of direct observation.
OBJECTIVE
To validate a hand hygiene monitoring technology (HHMT) designed to capture hand hygiene behaviors aggregated at the hospital-unit level (GOJO Industries, Akron, OH).
METHODS
Our team followed a rigorous validation approach to assess the sensitivity and positive predictive value (PPV) of an HHMT. A planned path was first used to measure the accuracy of the system when purposefully activated by investigators. Next, behavioral validation was used to quantify accuracy of the system in capturing real-world behaviors.
RESULTS
During the planned path phase, investigators performed 4,872 unique events across 3 distinct hospital buildings varying in size and age since construction. Overall sensitivity across the medical center was 88.7% with a PPV of 99.2%. During the behavioral validation phase, trained direct observers recorded 5,539 unique events across 3 distinct hospital buildings. Overall sensitivity across the medical center was 92.7% and PPV was 84.4%.
CONCLUSION
Objective measures of sensitivity and PPV indicate the promise of the benefit of this and other HHMTs to capture basic behaviors associated with hand hygiene.
Infect Control Hosp Epidemiol 2017;38:348–352
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