Frontline Nurse Feedback During the Development of a System to Track Cleaning of Portable Medical Equipment

Using a handheld UV device for disinfection in the patient care environment: A descriptive qualitative study

Frontline nurses play a critical role in the prevention of healthcare-acquired infections (HAIs) through daily practices of hand hygiene and decontamination of surfaces. Despite these practices, environmental contamination and HAIs persist. Emerging use of UV light at wavelengths safe for human exposure provides additional strategies for disinfecting the patient care environment. The purpose of this qualitative study is to explore frontline nursing feedback regarding a novel handheld UV device prototype. A convenience sample of nurses were invited to participate in facilitated individual or small group discussions led by one member of the research team. Thematic analysis of discussion transcripts was completed by two members of the research team. Sixteen registered nurses participated. Four themes found in the study were time considerations, complexity, safety (patient and nurse), and characteristics of technology to improve patient care. Findings suggest that while nursing staff are willing to use technology, it must be considered valuable to patient care and should not hinder the provision of care. Inclusion of inputs from nursing staff for development of technology identifies potential barriers to acceptance and use in the practice environment.

Effect of a "feedback prompt" from a disinfection tracking system on portable medical equipment disinfection

BACKGROUND

Portable medical equipment (PME) may contribute to transmission of multidrug-resistant organisms without proper disinfection. We studied whether a Disinfection Tracking System (DTS) with feedback prompt, attached to PME, can increase the frequency of PME disinfection.

METHODS

DTS devices were placed on 10 workstations-on-wheels (WOWs) and 5 vitals machine (VM). After a 25 day "screen-off" period, the DTS device screens were turned on to display the number of hours since the last recorded disinfection event for a 42 day period. We used a Bayesian multilevel zero-inflated negative binomial model to compare the number of events in the display "screen-off" to the "screen-on" period.

RESULTS

During the "screen-off" period, there were 1.26 and 0.49 mean disinfection events and during the "screen-on" period, there were 1.76 and 0.50 mean disinfection events for WOWs and VM, respectively, per day. The model estimated mean events per device per day in the the "screen-on" period for WOW's were 1.32 (1.10 - 1.57) times greater than those in the "screen-off" period and the "screen-on" period for VM devices was 1.37 (0.89 - 2.01) times greater than those in the "screen-off" period.

CONCLUSIONS

The rate of disinfection events for WOWs increased following the implementation of the DTS feedback prompt.