OBJECTIVE: To assess healthcare personnel (HCP) perceptions regarding implementation of sensor-based electronic systems for automated hand hygiene adherence monitoring. DESIGN: Using a mixed-methods approach, structured focus groups were designed to elicit quantitative and qualitative responses on familiarity, comfort level, and perceived impact of sensor-based hand hygiene adherence monitoring. SETTING: A university hospital, a Veterans Affairs hospital, and a community hospital in the Midwest. PARTICIPANTS: Focus groups were homogenous by HCP type, with separate groups held for leadership, midlevel management, and frontline personnel at each hospital. RESULTS: Overall, 89 HCP participated in 10 focus groups. Levels of familiarity and comfort with electronic oversight technology varied by HCP type; when compared with frontline HCP, those in leadership positions were significantly more familiar with ([Formula: see text]) and more comfortable with ([Formula: see text]) the technology. The most common concerns cited by participants across groups included lack of accuracy in the data produced, such as the inability of the technology to assess the situational context of hand hygiene opportunities, and the potential punitive use of data produced. Across groups, HCP had decreased tolerance for electronic collection of spatial-temporal data, describing such oversight as Big Brother. CONCLUSIONS: While substantial concerns were expressed by all types of HCP, participants' recommendations for effective implementation of electronic oversight technologies for hand hygiene monitoring included addressing accuracy issues before implementation and transparent communication with frontline HCP about the intended use of the data.
OBJECTIVE: To assess healthcare personnel (HCP) perceptions regarding implementation of sensor-based electronic systems for automated hand hygiene adherence monitoring. DESIGN: Using a mixed-methods approach, structured focus groups were designed to elicit quantitative and qualitative responses on familiarity, comfort level, and perceived impact of sensor-based hand hygiene adherence monitoring. SETTING: A university hospital, a Veterans Affairs hospital, and a community hospital in the Midwest. PARTICIPANTS: Focus groups were homogenous by HCP type, with separate groups held for leadership, midlevel management, and frontline personnel at each hospital. RESULTS: Overall, 89 HCP participated in 10 focus groups. Levels of familiarity and comfort with electronic oversight technology varied by HCP type; when compared with frontline HCP, those in leadership positions were significantly more familiar with ([Formula: see text]) and more comfortable with ([Formula: see text]) the technology. The most common concerns cited by participants across groups included lack of accuracy in the data produced, such as the inability of the technology to assess the situational context of hand hygiene opportunities, and the potential punitive use of data produced. Across groups, HCP had decreased tolerance for electronic collection of spatial-temporal data, describing such oversight as Big Brother. CONCLUSIONS: While substantial concerns were expressed by all types of HCP, participants' recommendations for effective implementation of electronic oversight technologies for hand hygiene monitoring included addressing accuracy issues before implementation and transparent communication with frontline HCP about the intended use of the data.
Authors: Elaine L Larson; Meghan T Murray; Bevin Cohen; Edwin Simpser; Marianne Pavia; Olivia Jackson; Haomiao Jia; R Gordon Hutcheon; Linda Mosiello; Natalie Neu; Lisa Saiman Journal: Behav Med Date: 2017-03-03 Impact factor: 3.104
Authors: Lisa L Pineles; Daniel J Morgan; Heather M Limper; Stephen G Weber; Kerri A Thom; Eli N Perencevich; Anthony D Harris; Emily Landon Journal: Am J Infect Control Date: 2013-12-17 Impact factor: 2.918
Authors: Q Xu; Y Liu; D Cepulis; A Jerde; R A Sheppard; W Reichle; L Scott; L Oppy; G Stevenson; S Bishop; S P Clifford; P Liu; M Kong; J Huang Journal: J Hosp Infect Date: 2022-02-02 Impact factor: 8.944
Authors: Qian Xu; Yang Liu; Darius Cepulis; Ann Jerde; Rachel A Sheppard; Kaitlin Tretter; Leah Oppy; Gina Stevenson; Sarah Bishop; Sean P Clifford; Peng Liu; Maiying Kong; Jiapeng Huang Journal: Am J Infect Control Date: 2021-05-28 Impact factor: 2.918