Qian Xu1, Yang Liu2, Darius Cepulis2, Ann Jerde3, Rachel A Sheppard3, Kaitlin Tretter4, Leah Oppy4, Gina Stevenson4, Sarah Bishop4, Sean P Clifford5, Peng Liu2, Maiying Kong6, Jiapeng Huang7. 1. Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY. 2. Microsensor Labs, LLC, Chicago, IL. 3. Clinical Trials Unit, University of Louisville, Louisville, KY. 4. Department of Infection Control and Prevention, University of Louisville Health, Louisville, KY. 5. Department of Anesthesiology & Perioperative Medicine, School of Medicine, University of Louisville, Louisville, KY. 6. Microsensor Labs, LLC, Chicago, IL. Electronic address: maiying.kong@louisville.edu. 7. Department of Anesthesiology & Perioperative Medicine, School of Medicine, University of Louisville, Louisville, KY; Department of Cardiovascular & Thoracic Surgery, School of Medicine, University of Louisville, Louisville, KY; Division of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID), Department of Medicine, University of Louisville, Louisville, KY; Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY. Electronic address: jiapeng.huang@louisville.edu.
Abstract
BACKGROUND: Hand hygiene (HH) compliance is low and difficult to improve among health care workers. We aim to validate an electronic HH system and assess the impact of this system on HH compliance and quality changes over time at both group and individual levels. METHODS: An automated electronic HH system was installed in a 10-bed surgical intensive care unit. RESULTS: The full HH compliance rate increased significantly from 8.4% in week 1 to 20.5% in week 16 with week 10 being the highest (27.4%). The partial compliance rate maintained relative consistency between 13.2% and 20.0%. The combined compliance rate (full compliance rate + partial compliance rate) increased from 23.5% in week 1 to 34.6% in week 16 with week 10 being the highest (41.4%). DISCUSSION: We found significant variations among providers in terms of HH opportunities per shift, full compliance, partial compliance and combined compliance rates. The average duration of hand rubbing over time in partial compliance occurrences did not change significantly over time. CONCLUSIONS: A sensor-based platform with automated HH compliance and quality monitoring, real time feedback and comprehensive individual level analysis, improved providers' HH compliance in an intensive care unit. There were significant variations among individual providers.
BACKGROUND: Hand hygiene (HH) compliance is low and difficult to improve among health care workers. We aim to validate an electronic HH system and assess the impact of this system on HH compliance and quality changes over time at both group and individual levels. METHODS: An automated electronic HH system was installed in a 10-bed surgical intensive care unit. RESULTS: The full HH compliance rate increased significantly from 8.4% in week 1 to 20.5% in week 16 with week 10 being the highest (27.4%). The partial compliance rate maintained relative consistency between 13.2% and 20.0%. The combined compliance rate (full compliance rate + partial compliance rate) increased from 23.5% in week 1 to 34.6% in week 16 with week 10 being the highest (41.4%). DISCUSSION: We found significant variations among providers in terms of HH opportunities per shift, full compliance, partial compliance and combined compliance rates. The average duration of hand rubbing over time in partial compliance occurrences did not change significantly over time. CONCLUSIONS: A sensor-based platform with automated HH compliance and quality monitoring, real time feedback and comprehensive individual level analysis, improved providers' HH compliance in an intensive care unit. There were significant variations among individual providers.
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Authors: Q Xu; Y Liu; D Cepulis; A Jerde; R A Sheppard; W Reichle; L Scott; L Oppy; G Stevenson; S Bishop; S P Clifford; P Liu; M Kong; J Huang Journal: J Hosp Infect Date: 2022-02-02 Impact factor: 8.944