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Drastic hourly changes in hand hygiene workload and performance rates: A multicenter time series analysis
High hand hygiene (HH) workload is a commonly cited barrier to optimal HH performance. The objective of this study was to assess trends of HH workload as defined by HH opportunities (HHO) and performance rates over different timescales using automated HH monitoring system data. This multiyear retros...
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Published in: | American journal of infection control 2024-12, Vol.52 (12), p.1371-1376 |
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creator | Moore, Lori D. Arbogast, James W. Robbins, Greg DiGiorgio, Megan Parker, Albert E. |
description | High hand hygiene (HH) workload is a commonly cited barrier to optimal HH performance. The objective of this study was to assess trends of HH workload as defined by HH opportunities (HHO) and performance rates over different timescales using automated HH monitoring system data.
This multiyear retrospective observational study was conducted in 58 inpatient units located in 10 North American hospitals. HHO and HH rates were analyzed by time series mixed effects general additive model.
Median HH rates peaked at 50.0 between 6 and 7 AM with a trough of 38.2 at 5 PM. HHO over hours in a day were the highest at 184 per hospital unit per hour at 10 AM with a trough of 49.0 between 2 and 3 AM. Median rates for day and night shifts were 40.8 and 45.5, respectively (P = .078). Weekend day shift had the lowest median rate (39.4) compared with any other 12-hour shift (P |
doi_str_mv | 10.1016/j.ajic.2024.08.026 |
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This multiyear retrospective observational study was conducted in 58 inpatient units located in 10 North American hospitals. HHO and HH rates were analyzed by time series mixed effects general additive model.
Median HH rates peaked at 50.0 between 6 and 7 AM with a trough of 38.2 at 5 PM. HHO over hours in a day were the highest at 184 per hospital unit per hour at 10 AM with a trough of 49.0 between 2 and 3 AM. Median rates for day and night shifts were 40.8 and 45.5, respectively (P = .078). Weekend day shift had the lowest median rate (39.4) compared with any other 12-hour shift (P < .1018). The median rates and HHO varied little across days in a week and months.
HH workload and performance rates were negatively correlated and changed drastically over hours in a day. Hospitals should consider HH workload in the development and timely delivery of improvement interventions.
•Hand hygiene workload and performance were negatively correlated.•Hand hygiene workload was disproportionately higher on day- versus night shift.•Hand hygiene performance between weekdays/weekends was not significantly different.•Hand hygiene workload and performance varied drastically across hours in a day.•Over 350 million hand hygiene data points were captured with automated monitoring.</description><identifier>ISSN: 0196-6553</identifier><identifier>ISSN: 1527-3296</identifier><identifier>EISSN: 1527-3296</identifier><identifier>DOI: 10.1016/j.ajic.2024.08.026</identifier><identifier>PMID: 39241916</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Automated hand hygiene monitoring system ; Cross Infection - prevention & control ; Guideline Adherence - statistics & numerical data ; Hand Hygiene - methods ; Hand Hygiene - standards ; Hand Hygiene - statistics & numerical data ; Hand hygiene performance ; Hand hygiene performance trends ; Hospitals - statistics & numerical data ; Humans ; North America ; Retrospective Studies ; Time Factors ; Workload - statistics & numerical data</subject><ispartof>American journal of infection control, 2024-12, Vol.52 (12), p.1371-1376</ispartof><rights>2024 Association for Professionals in Infection Control and Epidemiology, Inc.</rights><rights>Copyright © 2024 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c237t-c92039c06d695be5638811e5bf90bd126ffbbfdc4083ac9f626a7ed4c4be9bf33</cites><orcidid>0000-0003-1625-3726</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39241916$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moore, Lori D.</creatorcontrib><creatorcontrib>Arbogast, James W.</creatorcontrib><creatorcontrib>Robbins, Greg</creatorcontrib><creatorcontrib>DiGiorgio, Megan</creatorcontrib><creatorcontrib>Parker, Albert E.</creatorcontrib><title>Drastic hourly changes in hand hygiene workload and performance rates: A multicenter time series analysis</title><title>American journal of infection control</title><addtitle>Am J Infect Control</addtitle><description>High hand hygiene (HH) workload is a commonly cited barrier to optimal HH performance. The objective of this study was to assess trends of HH workload as defined by HH opportunities (HHO) and performance rates over different timescales using automated HH monitoring system data.
This multiyear retrospective observational study was conducted in 58 inpatient units located in 10 North American hospitals. HHO and HH rates were analyzed by time series mixed effects general additive model.
Median HH rates peaked at 50.0 between 6 and 7 AM with a trough of 38.2 at 5 PM. HHO over hours in a day were the highest at 184 per hospital unit per hour at 10 AM with a trough of 49.0 between 2 and 3 AM. Median rates for day and night shifts were 40.8 and 45.5, respectively (P = .078). Weekend day shift had the lowest median rate (39.4) compared with any other 12-hour shift (P < .1018). The median rates and HHO varied little across days in a week and months.
HH workload and performance rates were negatively correlated and changed drastically over hours in a day. Hospitals should consider HH workload in the development and timely delivery of improvement interventions.
•Hand hygiene workload and performance were negatively correlated.•Hand hygiene workload was disproportionately higher on day- versus night shift.•Hand hygiene performance between weekdays/weekends was not significantly different.•Hand hygiene workload and performance varied drastically across hours in a day.•Over 350 million hand hygiene data points were captured with automated monitoring.</description><subject>Automated hand hygiene monitoring system</subject><subject>Cross Infection - prevention & control</subject><subject>Guideline Adherence - statistics & numerical data</subject><subject>Hand Hygiene - methods</subject><subject>Hand Hygiene - standards</subject><subject>Hand Hygiene - statistics & numerical data</subject><subject>Hand hygiene performance</subject><subject>Hand hygiene performance trends</subject><subject>Hospitals - statistics & numerical data</subject><subject>Humans</subject><subject>North America</subject><subject>Retrospective Studies</subject><subject>Time Factors</subject><subject>Workload - statistics & numerical data</subject><issn>0196-6553</issn><issn>1527-3296</issn><issn>1527-3296</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOIzEQRS0EggzwAyyQl2y68aPttBEbBMwMUiQ2sLbcdpk49CPY3aD8PY4CLFlVqXTvkeogdEZJSQmVl6vSrIItGWFVSeqSMLmHZlSwecGZkvtoRqiShRSCH6E_Ka0IIYpLcYiOuGIVVVTOULiLJo3B4uUwxXaD7dL0L5Bw6HHeHF5uXgL0gD-G-NoOxuHtcQ3RD7EzvQUczQjpCt_gbmozB_oRIh5DBzhBDJlketNuUkgn6MCbNsHp1zxGz3_vn27_F4vHfw-3N4vCMj4fC6sY4coS6aQSDQjJ65pSEI1XpHGUSe-bxjtbkZobq7xk0szBVbZqQDWe82N0seOu4_A2QRp1F5KFtjU9DFPSPLubKy6oyFG2i9o4pBTB63UMnYkbTYneKtYrvVWst4o1qXVWnEvnX_yp6cD9VL6d5sD1LgD5y_cAUSebHVpwIYIdtRvCb_xP9U2O3w</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Moore, Lori D.</creator><creator>Arbogast, James W.</creator><creator>Robbins, Greg</creator><creator>DiGiorgio, Megan</creator><creator>Parker, Albert E.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1625-3726</orcidid></search><sort><creationdate>202412</creationdate><title>Drastic hourly changes in hand hygiene workload and performance rates: A multicenter time series analysis</title><author>Moore, Lori D. ; Arbogast, James W. ; Robbins, Greg ; DiGiorgio, Megan ; Parker, Albert E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c237t-c92039c06d695be5638811e5bf90bd126ffbbfdc4083ac9f626a7ed4c4be9bf33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Automated hand hygiene monitoring system</topic><topic>Cross Infection - prevention & control</topic><topic>Guideline Adherence - statistics & numerical data</topic><topic>Hand Hygiene - methods</topic><topic>Hand Hygiene - standards</topic><topic>Hand Hygiene - statistics & numerical data</topic><topic>Hand hygiene performance</topic><topic>Hand hygiene performance trends</topic><topic>Hospitals - statistics & numerical data</topic><topic>Humans</topic><topic>North America</topic><topic>Retrospective Studies</topic><topic>Time Factors</topic><topic>Workload - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moore, Lori D.</creatorcontrib><creatorcontrib>Arbogast, James W.</creatorcontrib><creatorcontrib>Robbins, Greg</creatorcontrib><creatorcontrib>DiGiorgio, Megan</creatorcontrib><creatorcontrib>Parker, Albert E.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of infection control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moore, Lori D.</au><au>Arbogast, James W.</au><au>Robbins, Greg</au><au>DiGiorgio, Megan</au><au>Parker, Albert E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Drastic hourly changes in hand hygiene workload and performance rates: A multicenter time series analysis</atitle><jtitle>American journal of infection control</jtitle><addtitle>Am J Infect Control</addtitle><date>2024-12</date><risdate>2024</risdate><volume>52</volume><issue>12</issue><spage>1371</spage><epage>1376</epage><pages>1371-1376</pages><issn>0196-6553</issn><issn>1527-3296</issn><eissn>1527-3296</eissn><abstract>High hand hygiene (HH) workload is a commonly cited barrier to optimal HH performance. The objective of this study was to assess trends of HH workload as defined by HH opportunities (HHO) and performance rates over different timescales using automated HH monitoring system data.
This multiyear retrospective observational study was conducted in 58 inpatient units located in 10 North American hospitals. HHO and HH rates were analyzed by time series mixed effects general additive model.
Median HH rates peaked at 50.0 between 6 and 7 AM with a trough of 38.2 at 5 PM. HHO over hours in a day were the highest at 184 per hospital unit per hour at 10 AM with a trough of 49.0 between 2 and 3 AM. Median rates for day and night shifts were 40.8 and 45.5, respectively (P = .078). Weekend day shift had the lowest median rate (39.4) compared with any other 12-hour shift (P < .1018). The median rates and HHO varied little across days in a week and months.
HH workload and performance rates were negatively correlated and changed drastically over hours in a day. Hospitals should consider HH workload in the development and timely delivery of improvement interventions.
•Hand hygiene workload and performance were negatively correlated.•Hand hygiene workload was disproportionately higher on day- versus night shift.•Hand hygiene performance between weekdays/weekends was not significantly different.•Hand hygiene workload and performance varied drastically across hours in a day.•Over 350 million hand hygiene data points were captured with automated monitoring.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>39241916</pmid><doi>10.1016/j.ajic.2024.08.026</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-1625-3726</orcidid></addata></record> |
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subjects | Automated hand hygiene monitoring system Cross Infection - prevention & control Guideline Adherence - statistics & numerical data Hand Hygiene - methods Hand Hygiene - standards Hand Hygiene - statistics & numerical data Hand hygiene performance Hand hygiene performance trends Hospitals - statistics & numerical data Humans North America Retrospective Studies Time Factors Workload - statistics & numerical data |
title | Drastic hourly changes in hand hygiene workload and performance rates: A multicenter time series analysis |
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