Challenges encountered and lessons learned during a trial of an electronic hand hygiene monitoring system

2019 ◽  
Vol 47 (12) ◽  
pp. 1443-1448 ◽  
Author(s):  
John M. Boyce ◽  
Timothea Cooper ◽  
Jun Yin ◽  
Fang-Yong Li ◽  
James W. Arbogast
2017 ◽  
Vol 45 (8) ◽  
pp. 860-865 ◽  
Author(s):  
Catherine Edmisten ◽  
Charles Hall ◽  
Lorna Kernizan ◽  
Kimberly Korwek ◽  
Aaron Preston ◽  
...  

Author(s):  
Swetha Tatineni ◽  
Nicola M Orlov ◽  
Joseph M Riehm ◽  
Amarachi Erondu ◽  
Christine L Mozer ◽  
...  

During the COVID-19 pandemic, hospitals published physical-distancing guidance and created dedicated respiratory isolation units (RIUs) for patients with COVID-19. The degree to which such distancing occurred between clinicians and patients is unknown. In this study, heat sensors from an existing hospital hand-hygiene monitoring system objectively tracked room entries as a proxy for physical distancing in both RIUs and general medicine units before and during the pandemic. The RIUs saw a 60.6% reduction in entries per room per day (from 85.7 to 33.8). General medicine units that cared for patients under investigation for COVID-19 and other patients experienced a 14.7% reduction in entries per room per day (from 76.9 to 65.1). While gradual extinction was observed in both units as COVID-19 cases declined, the RIUs had a higher degree of physical distancing. Although the optimal level of physical distancing is unknown, sustaining physical distancing in the hospital may require re-education and real-time monitoring.


2011 ◽  
Vol 80 (8) ◽  
pp. 596-603 ◽  
Author(s):  
Alexander I. Levchenko ◽  
Veronique M. Boscart ◽  
Geoffrey R. Fernie

2014 ◽  
Vol 88 (2) ◽  
pp. 84-88 ◽  
Author(s):  
S.J. Storey ◽  
G. FitzGerald ◽  
G. Moore ◽  
E. Knights ◽  
S. Atkinson ◽  
...  

2017 ◽  
Vol 146 (2) ◽  
pp. 276-282 ◽  
Author(s):  
J. A. AL-TAWFIQ ◽  
M. TREBLE ◽  
R. ABDRABALNABI ◽  
C. OKEAHIALAM ◽  
S. KHAZINDAR ◽  
...  

SUMMARYThe Joint Commission Centre for Transforming Healthcare's Web-based Targeted Solutions Tool (TST) for improving hand hygiene was implemented to elucidate contributing factors to low compliance rates of hand hygiene. Monitoring of compliance was done by trained unknown and known observers and rates of hospital-acquired infections were tracked and correlated against the changes in hand hygiene compliance. In total, 5669 of hand hygiene observations were recorded by the secret observers. The compliance rate increased from 75·4% at baseline (May–August 2014) to 88·6% during the intervention (13 months) and the control periods (P < 0·0001). Reductions in healthcare-associated infection rates were recorded for Clostridium difficle infections from 7·95 (CI 0·8937–28·72) to 1·84 (CI 0·02411–10·26) infections per 10 000 patient-days (P = 0·23), central line-associated blood-stream infections from 5·9 (CI 1·194–17·36) to 2·9 (0·7856–7·475) per 1000 device days (P = 0·37) and catheter-associated urinary tract infections from 5·941 (CI 1·194–17·36) to 0 per 1000 device days (P = 0·42). The top contributing factors for non-compliance were: improper use of gloves, hands full of supplies or medications and frequent entry or exit in isolation areas. We conclude that the application of TST allows healthcare organisations to improve hand hygiene compliance and to identify the factors contributing to non-compliance.


Author(s):  
Zaid Ali Shhedi ◽  
Alin Moldoveanu ◽  
Florica Moldoveanu ◽  
Cristian Taslitchi

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S425-S425
Author(s):  
Maureen Banks ◽  
Andrew Phillips ◽  
Keith Chin ◽  
Lou Ann Bruno-Murtha

Abstract Background Hand hygiene (HH) is the cornerstone of infection prevention and improved compliance has been associated with reduced healthcare-associated infections (HAIs). However, traditional methods for HH data collection have limitations and may not accurately reflect true compliance. We sought to evaluate whether an electronic hand hygiene monitoring system (HHMS) can improve data collection, compliance, and reduce HAIs. Methods A HHMS was implemented as part of a pilot at a single facility in June 2018 for all healthcare workers (HCWs) who entered patient rooms. The system prompted HCWs to perform HH with an audible and visual reminder emitted from a badge if a HH event had not been registered within specific timeframes of entering or exiting a patient room. The system captured compliance with preferential handwashing (soap and water) for at least 15 seconds upon exit of Clostridioides difficile (C. difficile) designated rooms. All HH data were collected by the HHMS. Hand hygiene compliance and HAI data were compared for the pre-intervention (June 2017-May 2018) and intervention periods (July 2018-March 2019). No changes were made to environmental cleaning protocols or compliance monitoring, nor in antibiotic stewardship practices. Results HH compliance by direct observation in the pre-intervention period was 91% (1,612 observations). HH compliance with the HHMS during the intervention period was 97% (2,778,402 observations). The mean monthly HH opportunities recorded during the pre-intervention period was 134, while the HHMS captured 308,711, a greater than 2,300-fold increase. The incidence of healthcare facility-onset C. difficile infections (HO-CDI) pre-intervention was 9.60 per 10,000 patient-days (41 GDH+/Toxin+ laboratory-identified [labID] events/42,726 patient-days). With the HHMS, HO-CDI decreased 70% (P = 0.0003) to 2.89 per 10,000 patient-days (9 labID events/31,169 patient-days). No policy changes in environmental cleaning of high-touch surfaces were made or observed during the pilot. Conclusion The use of an HHMS facilitated more comprehensive HH data and improved compliance. The preliminary findings also support an association between more robust HH compliance data and a significant decrease in toxin-producing CDI. Disclosures All authors: No reported disclosures.


2011 ◽  
Vol 36 (7-8) ◽  
pp. 241-252 ◽  
Author(s):  
P. Matgen ◽  
R. Hostache ◽  
G. Schumann ◽  
L. Pfister ◽  
L. Hoffmann ◽  
...  

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