Drastic hourly changes in hand hygiene workload and performance rates: A multicenter time series analysis - 13/11/24
, James W. Arbogast, PhD a, b, Greg Robbins, BA a, Megan DiGiorgio, MSN a, Albert E. Parker, PhD c, dRiassunto |
Background |
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.
Methods |
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.
Results |
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.
Conclusions |
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.
Il testo completo di questo articolo è disponibile in PDF.Highlights |
• | 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. |
Key Words : Hand hygiene performance, Hand hygiene performance trends, Automated hand hygiene monitoring system
Mappa
| Conflicts of interest: GOJO employee coauthors received their normal salary over the course of this study, with no additional nor special compensation for this study. GOJO Inc paid Montana State University a fee for Dr. Parker to develop statistical methodologies relevant to the manuscript and to help write the manuscript. |
|
| GOJO Inc provided all funding for completion of this study. |
Vol 52 - N° 12
P. 1371-1376 - dicembre 2024 Ritorno al numero
Articolo precedente
- The impact of a novel color additive for disinfectant wipes on room cleanliness and turnover time
- Olayinka Oremade, Barbara Odac, Jinzy George, Frederick Browne
- Bloodstream infection: Derivation and validation of a reliable and multidimensional prognostic score based on a machine learning model (BLISCO)
- Marta Camici, Benedetta Gottardelli, Tommaso Novellino, Carlotta Masciocchi, Silvia Lamonica, Rita Murri
Benvenuto su EM|consulte, il riferimento dei professionisti della salute.
L'accesso al testo integrale di questo articolo richiede un abbonamento.
Già abbonato a @@106933@@ rivista ?