| Literature DB >> 34723870 |
Marjory D Williams1, John David Coppin, JulieAnn Martel, Mark Stibich, Sarah Simmons, Deborah G Passey, Piyali Chatterjee, Hosoon Choi, Hector Ramirez, Patrick Crowley, Chetan Jinadatha.
Abstract
As part of the development and testing of an innovative technology for tracking disinfection of portable medical equipment, end-user feedback was obtained during an initial trial on two acute care hospital units. The disinfection tracking device was installed on the computers-on-wheels and vital signs machines. Each device had the capability of detecting a cleaning event, reporting the event to an online database, and displaying the time since last cleaning event on a visual display. End-user feedback regarding functionality, usefulness of information provided, and impact on workflow was obtained by survey and facilitated group discussions. Seventeen frontline nurses completed the anonymous survey, and 22 participated in the facilitated group discussions. End users found the system functionally easy to use and the information about time since last cleaning useful and reported minimum disruption of workflow. Functionality of the system was confirmed by consistency between recorded and self-reported cleaning patterns. Managers found the data on cleaning of portable medical equipment helpful in validating compliance with hospital equipment cleaning policy. Frontline staff expressed appreciation for technology that helps them and improves outcomes but also discussed concerns about the potential for technology that creates extra work and disruption in the busy frontline nursing care delivery environment. Nurses were appreciative of opportunities to provide feedback and input into efforts to develop and introduce technology. Recorded cleaning events coincided with self-reported equipment cleaning patterns and illustrated that the device efficiently collects information deemed useful by the end user.Entities:
Mesh:
Year: 2021 PMID: 34723870 PMCID: PMC8988289 DOI: 10.1097/CIN.0000000000000754
Source DB: PubMed Journal: Comput Inform Nurs ISSN: 1538-2931 Impact factor: 1.985