Journal article
Healthcare Personnel Perceptions of Hand Hygiene Monitoring Technology
Infection control and hospital epidemiology, Vol.32(11), pp.1091-1096
2011
DOI: 10.1086/662179
PMID: 22011536
Abstract
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.
Details
- Title: Subtitle
- Healthcare Personnel Perceptions of Hand Hygiene Monitoring Technology
- Creators
- Katherine ELLINGSON - Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United StatesPhilip M POLGREEN - Computational Epidemiology Group, University of Iowa, Iowa City, Iowa, United StatesRonda SINKOWITZ-COCHRAN - Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United StatesAmy SCHNEIDER - Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United StatesLaura SHINKUNAS - Carver College of Medicine, University of Iowa, Iowa City, Iowa, United StatesLauris C KALDJIAN - Carver College of Medicine, University of Iowa, Iowa City, Iowa, United StatesDonald WRIGHT - Department of Health and Human Services, Washington, DC, United StatesGeb W THOMAS - Computational Epidemiology Group, University of Iowa, Iowa City, Iowa, United StatesAlberto M SEGRE - Computational Epidemiology Group, University of Iowa, Iowa City, Iowa, United StatesTed HERMAN - Computational Epidemiology Group, University of Iowa, Iowa City, Iowa, United StatesL Clifford McDonald - Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States
- Resource Type
- Journal article
- Publication Details
- Infection control and hospital epidemiology, Vol.32(11), pp.1091-1096
- DOI
- 10.1086/662179
- PMID
- 22011536
- NLM abbreviation
- Infect Control Hosp Epidemiol
- ISSN
- 0899-823X
- eISSN
- 1559-6834
- Publisher
- University of Chicago Press; Chicago, IL
- Language
- English
- Date published
- 2011
- Academic Unit
- Medical Ethics; Infectious Diseases; Epidemiology; Orthopedics and Rehabilitation; Industrial and Systems Engineering; Nursing; Injury Prevention Research Center; Computer Science; General Internal Medicine; Internal Medicine
- Record Identifier
- 9984040250702771
Metrics
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