Technological innovations in infection control: A rapid review of the acceptance of behavior monitoring systems and their contribution to the improvement of hand hygiene.


Journal

American journal of infection control
ISSN: 1527-3296
Titre abrégé: Am J Infect Control
Pays: United States
ID NLM: 8004854

Informations de publication

Date de publication:
04 2019
Historique:
received: 12 06 2018
revised: 15 10 2018
accepted: 15 10 2018
pubmed: 12 12 2018
medline: 15 4 2020
entrez: 12 12 2018
Statut: ppublish

Résumé

Hand hygiene is crucial for preventing nosocomial infections; however, adherence rates need further attention. Prevention of nosocomial infections through regular hand hygiene monitoring and feedback is recommended by the World Health Organization. Technology holds the potential for achieving this goal. The aim of this study was to assess the influence of technological behavior monitoring innovations on hand hygiene adherence and their acceptance by healthcare professionals. A rapid review of the literature was conducted. A literature search was performed in electronic databases (Cochrane Library, Scopus, PubMed, CINAHL, PsycINFO, PsycARTICLES, PSYNDEX) and via citation tracking in November 2017. Records were screened for eligibility. Included studies were analyzed and synthesized in a narrative, tabular way. Overall, 2,426 studies were identified, and 12 were included. Findings indicated that behavior monitoring technology improves hand hygiene adherence, resulting in adherence increases between 6.40%-54.97%. The majority of systems provided real-time feedback. Factors influencing acceptance of technology by healthcare professionals include transparency and confidentiality, user attitude and environment, device function, and device usability. Recognizing the importance of hand hygiene adherence, active communication between behavior monitoring technology and healthcare workers seems to mediate improvement in sustainable hand hygiene adherence behavior.

Sections du résumé

BACKGROUND
Hand hygiene is crucial for preventing nosocomial infections; however, adherence rates need further attention. Prevention of nosocomial infections through regular hand hygiene monitoring and feedback is recommended by the World Health Organization. Technology holds the potential for achieving this goal. The aim of this study was to assess the influence of technological behavior monitoring innovations on hand hygiene adherence and their acceptance by healthcare professionals.
METHODS
A rapid review of the literature was conducted. A literature search was performed in electronic databases (Cochrane Library, Scopus, PubMed, CINAHL, PsycINFO, PsycARTICLES, PSYNDEX) and via citation tracking in November 2017. Records were screened for eligibility. Included studies were analyzed and synthesized in a narrative, tabular way.
RESULTS
Overall, 2,426 studies were identified, and 12 were included. Findings indicated that behavior monitoring technology improves hand hygiene adherence, resulting in adherence increases between 6.40%-54.97%. The majority of systems provided real-time feedback. Factors influencing acceptance of technology by healthcare professionals include transparency and confidentiality, user attitude and environment, device function, and device usability.
CONCLUSIONS
Recognizing the importance of hand hygiene adherence, active communication between behavior monitoring technology and healthcare workers seems to mediate improvement in sustainable hand hygiene adherence behavior.

Identifiants

pubmed: 30527285
pii: S0196-6553(18)31026-5
doi: 10.1016/j.ajic.2018.10.012
pii:
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

439-447

Informations de copyright

Copyright © 2018 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Auteurs

Michael Meng (M)

Institute of Nursing Science, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Department of Nursing Science, Faculty of Health, Witten/Herdecke University, Witten, Germany. Electronic address: michael.meng@uniklinik-freiburg.de.

Michaela Sorber (M)

Department of Nursing Science, Faculty of Health, Witten/Herdecke University, Witten, Germany.

Andreas Herzog (A)

HyHelp AG, Frankfurt am Main, Germany.

Christoph Igel (C)

Educational Technology Lab, German Research Center for Artificial Intelligence, Berlin, Germany.

Christiane Kugler (C)

Institute of Nursing Science, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

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Classifications MeSH