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Assessment of an Aggregate-Level Hand Hygiene Monitoring Technology for Measuring Hand Hygiene Performance Among Healthcare Personnel

Published online by Cambridge University Press:  19 December 2016

Heather M. Limper ,
Lynn Slawsky ,
Sylvia Garcia-Houchins ,
Supriya Mehta ,
Ronald C. Hershow  and
Emily Landon
Heather M. Limper*
Affiliation:
University of Chicago Medicine, Center for Healthcare Delivery Science and Innovation, Chicago, Illinois University of Illinois at Chicago, School of Public Health, Division of Epidemiology and Biostatistics, Chicago, Illinois
Lynn Slawsky
Affiliation:
University of Chicago Medicine, Infection Control Program, Chicago, Illinois
Sylvia Garcia-Houchins
Affiliation:
University of Chicago Medicine, Infection Control Program, Chicago, Illinois
Supriya Mehta
Affiliation:
University of Illinois at Chicago, School of Public Health, Division of Epidemiology and Biostatistics, Chicago, Illinois
Ronald C. Hershow
Affiliation:
University of Illinois at Chicago, School of Public Health, Division of Epidemiology and Biostatistics, Chicago, Illinois
Emily Landon
Affiliation:
University of Chicago Medicine, Center for Healthcare Delivery Science and Innovation, Chicago, Illinois University of Chicago Medicine, Infection Control Program, Chicago, Illinois
*
Address correspondence to Heather M. Limper, MPH, University of Chicago Medicine, Center for Healthcare Delivery Science and Innovation, 5841 South Maryland Ave Chicago, Illinois 60637 (hlimper@medicine.bsd.uchicago.edu).
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Abstract

BACKGROUND

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

Type
Original Articles
Information
Infection Control & Hospital Epidemiology , Volume 38 , Issue 3 , March 2017 , pp. 348 - 352
Copyright
© 2016 by The Society for Healthcare Epidemiology of America. All rights reserved 

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References

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