Automated hand hygiene compliance system's audible alert reminder increases healthcare worker hand hygiene compliance.

OBJECTIVE: To evaluate the effectiveness of an automated hand hygiene compliance system (AHHCS) audible alert and vibration for increasing hand hygiene compliance. DESIGN: A nonrandomized, before-and-after, quasi-experimental study of an AHHCS was implemented in several inpatient units. Over a 51-day period, the system's real-time audible alert was turned on, off, and back on. Overall, hand hygiene compliance was compared between days with activated and deactivated alerts and vibration. SETTING: This study was conducted at a level 1 trauma center, a regional academic health system with 1,564 beds. PARTICIPANTS: The AHHCS was implemented in 9 inpatient units: 3 adult medical-surgical step-down units, and 6 adult intensive care units. The AHHCS badges were assigned to patient care assistants, registered nurses, physical therapists, occupational therapists, speech therapists, respiratory therapists, and physicians. INTERVENTION: In the 9 inpatient units, selected healthcare staff were issued wearable badges that detected entry into and exit from a patient room. The audible alert was turned on for 16 days, turned off for 17 days, and then turned back on for 18 days, for a total of 51 days. RESULTS: Utilization of the AHHCS real-time audible alert reminder resulted in sustained HH compliance ≥90%. When the alert and vibration were deactivated, HH compliance dropped to an average of 74% (range, 62%-78%). Once the alert resumed, HH compliance returned to ≥90%. CONCLUSION: Utilization of an AHHCS with real-time reminder audible alerts may be an effective method to increase healthcare worker HH compliance to ≥90%. Users of AHHCSs should consider the use of real-time reminders to improve HH compliance.

Implementing an electronic hand hygiene system improved compliance in the intensive care unit.

BACKGROUND: Hand hygiene (HH) compliance is low and difficult to improve among health care workers. We aim to validate an electronic HH system and assess the impact of this system on HH compliance and quality changes over time at both group and individual levels. METHODS: An automated electronic HH system was installed in a 10-bed surgical intensive care unit. RESULTS: The full HH compliance rate increased significantly from 8.4% in week 1 to 20.5% in week 16 with week 10 being the highest (27.4%). The partial compliance rate maintained relative consistency between 13.2% and 20.0%. The combined compliance rate (full compliance rate + partial compliance rate) increased from 23.5% in week 1 to 34.6% in week 16 with week 10 being the highest (41.4%). DISCUSSION: We found significant variations among providers in terms of HH opportunities per shift, full compliance, partial compliance and combined compliance rates. The average duration of hand rubbing over time in partial compliance occurrences did not change significantly over time. CONCLUSIONS: A sensor-based platform with automated HH compliance and quality monitoring, real time feedback and comprehensive individual level analysis, improved providers' HH compliance in an intensive care unit. There were significant variations among individual providers.

Surveillance testing reveals a significant proportion of hospitalized patients with SARS-CoV-2 are asymptomatic.

BACKGROUND: The proportion of positive patients admitted to acute-care hospitals for reasons other than coronavirus disease-19 (COVID-19) is unknown. These patients potentially put other patients and healthcare workers at risk of infection. OBJECTIVE: The objective of this study was to define the proportion of asymptomatic patients admitted with severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). Secondary objectives were to define the positivity rate, reasons for admission, and the geographic distribution in the region. METHODS: Universal surveillance testing for SARS-CoV-2 was performed on patients admitted to this hospital over a 12-week period from April 9, 2020 to July 1, 2020. Positive patients were categorized as either symptomatic or asymptomatic as defined by the 11 criteria per the Centers for Disease Control and Prevention. The positivity rate, proportion with and without symptoms, reasons for admission, and geographic distribution in the region were recorded. RESULTS: The positivity rate ranged from 0.8% to 6.2%. The proportion of asymptomatic patients with SARS-CoV-2 was 37%. Asymptomatic patients primarily presented to the hospital because of either trauma or labor. Some clusters in the region were identified of both symptomatic and asymptomatic patients. CONCLUSIONS: The proportion of asymptomatic patients admitted with SARS-CoV-2 was significant. Identifying and isolating asymptomatic patients likely prevented exposure and development of hospital-acquired COVID-19 cases among healthcare workers and other patients, supporting the universal surveillance of all admitted patients.

Learning Theory Support of Simulation to Improve Nurses' Care of Critically Ill Patients.

Simulation, as a conduit to apply both adult and constructivist learning theory, is an important educational modality in nursing professional development. The use of simulation is well studied in the academic setting, but evidence supporting its use in the practice environment is lacking. This educational quality improvement project provides a road map for designing and implementing simulation to meet the educational needs of practicing nurses.