Drastic hourly changes in hand hygiene workload and performance rates: a multicenter time series analysis.

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 time scales using automated HH monitoring system data. METHODS: This multi-year 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 6-7 am with a trough of 38.2 at 5 pm. HHO over hours in a day were highest at 184 per hospital unit per hour at 10 am with a trough of 49.0 between 2-3 am. Median rates for day and night shifts were 40.8 and 45.5 respectively (p=0.078). Weekend day shift had the lowest median rate (39.4) compared to any other 12-hour shift (p<0.1018). 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.

Hand hygiene product use by food employees in casual dining and quick-service restaurants.

Hand hygiene product usage characteristics by food employees when hand sanitizers are made available are not well understood. To investigate hand hygiene product usage in casual dining and quick-service restaurants, we placed automated monitoring soap and sanitizer dispensers side-by-side at handwash sinks used by food employees in seven restaurants. Dispenses were monitored, and multiple dispenses that occurred within 60 s of each other were considered a single hand hygiene event. This resulted in 186,998 events during the study (149,779 soap only, 21 985 sanitizer only, and 15,234 regimen [defined as soap followed by sanitizer at the same sink within 60 s]) over 15,447 days of use. Soap was the most frequently used hand hygiene method by food employees in both restaurant types. Regimen use, despite being the preferred hand hygiene method by both restaurant chains, was the least used hand hygiene method. When pooled over restaurant types, the median daily usage for soap was statistically significantly highest of all methods at 23.5 dispenses per sink per day (p < 0.0001), the sanitizer median daily usage was 4.27 dispenses per sink per day, and regimen use was statistically significantly lowest of all methods at 4.02 dispenses per sink per day (p < 0.0001). When hand hygiene event types were pooled, casual dining restaurants had similar median hand hygiene event rates (11.4 dispenses per sink per day) compared to quick-service restaurants (11.9 dispenses per sink per day; p = 0.890). The number of events by sink location varied, with sinks located at a warewash station having the highest number of events (19.3 dispenses per sink per day; p < 0.0001), while sinks located by a ready-to-eat food preparation area had the lowest number of events (6.8 dispenses per sink per day; p < 0.0001). These data provide robust baseline benchmarks for future hand hygiene intervention studies in these settings.

The impact of automated hand hygiene monitoring with and without complementary improvement strategies on performance rates.

OBJECTIVE: To determine how engagement of the hospital and/or vendor with performance improvement strategies combined with an automated hand hygiene monitoring system (AHHMS) influence hand hygiene (HH) performance rates. DESIGN: Prospective, before-and-after, controlled observational study. SETTING: The study was conducted in 58 adult and pediatric inpatient units located in 10 hospitals. METHODS: HH performance rates were estimated using an AHHMS. Rates were expressed as the number of soap and alcohol-based hand rub portions dispensed divided by the number of room entries and exits. Each hospital self-assigned to one of the following intervention groups: AHHMS alone (control group), AHHMS plus clinician-based vendor support (vendor-only group), AHHMS plus hospital-led unit-based initiatives (hospital-only group), or AHHMS plus clinician-based vendor support and hospital-led unit-based initiatives (vendor-plus-hospital group). Each hospital unit produced 1­2 months of baseline HH performance data immediately after AHHMS installation before implementing initiatives. RESULTS: Hospital units in the vendor-plus-hospital group had a statistically significant increase of at least 46% in HH performance compared with units in the other 3 groups (P ≤ .006). Units in the hospital only group achieved a 1.3% increase in HH performance compared with units that had AHHMS alone (P = .950). Units with AHHMS plus other initiatives each had a larger change in HH performance rates over their baseline than those in the AHHMS-alone group (P < 0.001). CONCLUSIONS: AHHMS combined with clinician-based vendor support and hospital-led unit-based initiatives resulted in the greatest improvements in HH performance. These results illustrate the value of a collaborative partnership between the hospital and the AHHMS vendor.

The impact of COVID-19 pandemic on hand hygiene performance in hospitals.

BACKGROUND: Achieving high levels of hand hygiene compliance of health care personnel has been an ongoing challenge. The objective of this study was to examine the impact of the COVID-19 pandemic on hand hygiene performance (HHP) rates in acute care hospitals. METHODS: HHP rates were estimated using an automated hand hygiene monitoring system installed in 74 adult inpatient units in 7 hospitals and 10 pediatric inpatient units in 2 children's hospitals. A segmented regression model was used to estimate the trajectory of HHP rates in the 10 weeks leading up to a COVID-19-related milestone event (eg, school closures) and for 10 weeks after. RESULTS: Three effects emerged, all of which were significant at P < .01. Average HHP rates increased from 46% to 56% in the months preceding pandemic-related school closures. This was followed by a 6% upward shift at the time school closures occurred. HHP rates remained over 60% for 4 weeks before declining to 54% at the end of the study period. CONCLUSIONS: Data from an automated hand hygiene monitoring system indicated that HHP shifted in multiple directions during the early stages of the pandemic. We discuss possible reasons why HHP first increased as the pandemic began and then decreased as it progressed.

Disproportionate burden of coronavirus disease 2019 among racial minorities and those in congregate settings among a large cohort of people with HIV.

BACKGROUND: Many people living with HIV (PLWH) have comorbidities which are risk factors for severe coronavirus disease 2019 (COVID-19) or have exposures that may lead to acquisition of severe acute respiratory distress syndrome coronavirus 2. There are few studies, however, on the demographics, comorbidities, clinical presentation, or outcomes of COVID-19 in people with HIV. OBJECTIVE: To evaluate risk factors, clinical manifestations, and outcomes in a large cohort of PLWH with COVID-19. METHODS: We systematically identified all PLWH who were diagnosed with COVID-19 at a large hospital from 3 March to 26 April 2020 during an outbreak in Massachusetts. We analyzed each of the cases to extract information including demographics, medical comorbidities, clinical presentation, and illness course after COVID-19 diagnosis. RESULTS: We describe a cohort of 36 PLWH with confirmed COVID-19 and another 11 patients with probable COVID-19. Almost 85% of PLWH with confirmed COVID-19 had a comorbidity associated with severe disease, including obesity, cardiovascular disease, or hypertension. Approximately 77% of PLWH with COVID-19 were non-Hispanic Black or Latinx whereas only 40% of the PLWH in our clinic were Black or Latinx. Nearly half of PLWH with COVID-19 had exposure to congregate settings. In addition to people with confirmed COVID-19, we identified another 11 individuals with probable COVID-19, almost all of whom had negative PCR testing. CONCLUSION: In the largest cohort to date of PLWH and confirmed COVID-19, almost all had a comorbidity associated with severe disease, highlighting the importance of non-HIV risk factors in this population. The racial disparities and frequent link to congregate settings in PLWH and COVID-19 need to be explored urgently.