Hand hygiene compliance of healthcare workers before and during the COVID-19 pandemic: A long-term follow-up study.

BACKGROUND: Information about the long-term effects of hand hygiene (HH) interventions is needed. We aimed to investigate the change in HH compliance (HHC) of healthcare workers (HCWs) once a data-driven feedback intervention was stopped, and to assess if the COVID-19 pandemic influenced the HH behavior. METHODS: We conducted an observational, extension trial in a surgical department between January 2019-December 2020. Doctors (n = 19) and nurses (n = 53) were included and their HHC was measured using an electronic HH monitoring system (EHHMS). We compared the changes in HHC during 3 phases: (1) Intervention (data presentation meetings), (2) Prepandemic follow-up and (3) Follow-up during COVID-19. RESULTS: The HHC during phase 1 (intervention), phase 2 (prepandemic follow-up) and phase 3 (follow-up during COVID-19) was 58%, 46%, and 34%, respectively. Comparison analyses revealed that the HHC was significantly lower in the prepandemic follow-up period (46% vs 58%, P < .0001) and in the follow-up period during COVID-19 (34% vs 58%, P < .0001) compared with the intervention period (phase 1). CONCLUSIONS: Despite the COVID-19 pandemic, the HHC of the HCWs significantly decreased over time once the data presentation meetings from management stopped. This study demonstrates that HCWs fall back into old HH routines once improvement initiatives are stopped.

Light-guided nudging and data-driven performance feedback improve hand hygiene compliance among nurses and doctors.

BACKGROUND: Evidence-based practices to increase hand hygiene compliance (HHC) among health care workers are warranted. We aimed to investigate the effect of a multimodal strategy on HHC. METHODS: During this 14-month prospective, observational study, an automated monitoring system was implemented in a 29-bed surgical ward. Hand hygiene opportunities and alcohol-based hand rubbing events were measured in patient and working rooms (medication, utility, storerooms, toilets). We compared baseline HHC of health care workers across periods with light-guided nudging from sensors on dispensers and data-driven performance feedback (multimodal strategy) using the Student's t test. RESULTS: The doctors (n = 10) significantly increased their HHC in patient rooms (16% vs 42%, P< .0001) and working rooms (24% vs 78%, P= .0006) when using the multimodal strategy. The nurses (n = 26) also increased their HHC significantly from baseline in both patient rooms (27% vs 43%, P = .0005) and working rooms (39% vs 64%, P< .0001). The nurses (n = 9), who subsequently received individual performance feedback, further increased HHC, compared with the period when they received group performance feedback (patient rooms: 43% vs 55%, P< .0001 and working rooms: 64% vs 80%, P< .0001). CONCLUSIONS: HHC of doctors and nurses can be significantly improved with light-guided nudging and data-driven performance feedback using an automated hand hygiene system.

Clinical experiences with a new system for automated hand hygiene monitoring: A prospective observational study.

BACKGROUND: Hand hygiene compliance (HHC) among health care workers remains suboptimal, and good monitoring systems are lacking. We aimed to evaluate HHC using an automated monitoring system. METHODS: A prospective, observational study was conducted at 2 Danish university hospitals employing a new monitoring system (Sani nudge). Sensors were located on alcohol-based sanitizers, health care worker name tags, and patient beds measuring hand hygiene opportunities and sanitations. RESULTS: In total, 42 nurses were included with an average HHC of 52% and 36% in hospitals A and B, respectively. HHC was lowest in patient rooms (hospital A: 45%; hospital B: 29%) and highest in staff toilets (hospital A: 72%; hospital B: 91%). Nurses sanitized after patient contact more often than before, and sanitizers located closest to room exits and in hallways were used most frequently. There was no association found between HHC level and the number of beds in patient rooms. The HHC level of each nurse was consistent over time, and showed a positive correlation between the number of sanitations and HHC levels (hospital A: r = 0.69; hospital B: r = 0.58). CONCLUSIONS: The Sani nudge system can be used to monitor HHC at individual and group levels, which increases the understanding of compliance behavior.