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1187. Estimation of Individual Healthcare Workers’ Relative Hand Hygiene Compliance Using an Anonymous Electronic Monitoring System
BACKGROUND: The current hand hygiene (HH) auditing and feedback strategy include anonymized data collection using direct observation and feedback of aggregated data. We aimed to evaluate whether an anonymous (without wearable device) HH electronic monitoring system (EMS) could detect patterns associ...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809376/ http://dx.doi.org/10.1093/ofid/ofz360.1050 |
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author | Tremblay, Maxime-Antoine Abou Sader, Mona Longtin, Yves |
author_facet | Tremblay, Maxime-Antoine Abou Sader, Mona Longtin, Yves |
author_sort | Tremblay, Maxime-Antoine |
collection | PubMed |
description | BACKGROUND: The current hand hygiene (HH) auditing and feedback strategy include anonymized data collection using direct observation and feedback of aggregated data. We aimed to evaluate whether an anonymous (without wearable device) HH electronic monitoring system (EMS) could detect patterns associated with individual healthcare workers (HCWs) and estimate their relative HH performance. METHODS: Observational study of HH compliance via an EMS in 10 rooms in a tertiary care hospital. The EMS measures HH product dispenser activation (an indicator of HH events) as well as entries and exits from patient rooms (a surrogate of HH opportunities). HH rates were obtained by dividing the number of HH events by the number of opportunities. HH rates were aggregated at room-shift level (i.e., an 8-hour period for a single room). For each room-shift, the HH rate was converted to a Z score, which was then associated with the individual HCW assigned to that room-shift. The relative HH performance of individual HCWs was estimated by comparing the mean Z scores of each HCW with the rest of the group by the Student T-test, with a level of significance set at P < 0.001 after adjustment by Bonferroni’s correction. To investigate whether any association could be due to chance, we looked into the potential association between average Z scores and calendar days, as a counterexample. RESULTS: Over a 100-day period, there were 45 775 HH events and 136 821 opportunities (global compliance, 33%). Schedules were available for 2980 room-shifts. Fifty-four individual HCWs took part in at least one room-shift (average per HCW, 52 room-shifts; range 1–140). Eight HCWs (15%) had a mean Z score significantly above the group average (Figure 1, green boxes; mean Z score 0.71; range, 0.52 to 0.86; P < 0.001), whereas 9 HCWs (17%) had a significantly inferior Z score (Figure 1, red boxes; mean Z score -0.47, range -0.58 to -0.31, P < 0.001). In contrast, there was no significant difference in Z scores between calendar days (Figure 2; p >0.001). CONCLUSION: Cross-linking a high-volume HH database with HCW schedules identified a significant association between individual HCWs and HH compliance in the rooms to which they were assigned. If confirmed in further studies, anonymous EMS could be used to provide HCWs with personalized relative HH compliance feedback. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6809376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68093762019-10-28 1187. Estimation of Individual Healthcare Workers’ Relative Hand Hygiene Compliance Using an Anonymous Electronic Monitoring System Tremblay, Maxime-Antoine Abou Sader, Mona Longtin, Yves Open Forum Infect Dis Abstracts BACKGROUND: The current hand hygiene (HH) auditing and feedback strategy include anonymized data collection using direct observation and feedback of aggregated data. We aimed to evaluate whether an anonymous (without wearable device) HH electronic monitoring system (EMS) could detect patterns associated with individual healthcare workers (HCWs) and estimate their relative HH performance. METHODS: Observational study of HH compliance via an EMS in 10 rooms in a tertiary care hospital. The EMS measures HH product dispenser activation (an indicator of HH events) as well as entries and exits from patient rooms (a surrogate of HH opportunities). HH rates were obtained by dividing the number of HH events by the number of opportunities. HH rates were aggregated at room-shift level (i.e., an 8-hour period for a single room). For each room-shift, the HH rate was converted to a Z score, which was then associated with the individual HCW assigned to that room-shift. The relative HH performance of individual HCWs was estimated by comparing the mean Z scores of each HCW with the rest of the group by the Student T-test, with a level of significance set at P < 0.001 after adjustment by Bonferroni’s correction. To investigate whether any association could be due to chance, we looked into the potential association between average Z scores and calendar days, as a counterexample. RESULTS: Over a 100-day period, there were 45 775 HH events and 136 821 opportunities (global compliance, 33%). Schedules were available for 2980 room-shifts. Fifty-four individual HCWs took part in at least one room-shift (average per HCW, 52 room-shifts; range 1–140). Eight HCWs (15%) had a mean Z score significantly above the group average (Figure 1, green boxes; mean Z score 0.71; range, 0.52 to 0.86; P < 0.001), whereas 9 HCWs (17%) had a significantly inferior Z score (Figure 1, red boxes; mean Z score -0.47, range -0.58 to -0.31, P < 0.001). In contrast, there was no significant difference in Z scores between calendar days (Figure 2; p >0.001). CONCLUSION: Cross-linking a high-volume HH database with HCW schedules identified a significant association between individual HCWs and HH compliance in the rooms to which they were assigned. If confirmed in further studies, anonymous EMS could be used to provide HCWs with personalized relative HH compliance feedback. [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6809376/ http://dx.doi.org/10.1093/ofid/ofz360.1050 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Tremblay, Maxime-Antoine Abou Sader, Mona Longtin, Yves 1187. Estimation of Individual Healthcare Workers’ Relative Hand Hygiene Compliance Using an Anonymous Electronic Monitoring System |
title | 1187. Estimation of Individual Healthcare Workers’ Relative Hand Hygiene Compliance Using an Anonymous Electronic Monitoring System |
title_full | 1187. Estimation of Individual Healthcare Workers’ Relative Hand Hygiene Compliance Using an Anonymous Electronic Monitoring System |
title_fullStr | 1187. Estimation of Individual Healthcare Workers’ Relative Hand Hygiene Compliance Using an Anonymous Electronic Monitoring System |
title_full_unstemmed | 1187. Estimation of Individual Healthcare Workers’ Relative Hand Hygiene Compliance Using an Anonymous Electronic Monitoring System |
title_short | 1187. Estimation of Individual Healthcare Workers’ Relative Hand Hygiene Compliance Using an Anonymous Electronic Monitoring System |
title_sort | 1187. estimation of individual healthcare workers’ relative hand hygiene compliance using an anonymous electronic monitoring system |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809376/ http://dx.doi.org/10.1093/ofid/ofz360.1050 |
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