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Acceptability Among Community Healthcare Nurses of Intelligent Wireless Sensor-system Technology for the Rapid Detection of Health Issues in Home-dwelling Older Adults

BACKGROUND: The effective care and support of community healthcare nurses (CHNs) contribute greatly to the healthy aging of older adults living at home. Integrating innovative technologies into CHNs’ daily practice offers new opportunities and perspectives for early detection of health issues and in...

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Autores principales: Cohen, Christine, Kampel, Thomas, Verloo, Henk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5420186/
https://www.ncbi.nlm.nih.gov/pubmed/28567170
http://dx.doi.org/10.2174/1874434601711010054
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author Cohen, Christine
Kampel, Thomas
Verloo, Henk
author_facet Cohen, Christine
Kampel, Thomas
Verloo, Henk
author_sort Cohen, Christine
collection PubMed
description BACKGROUND: The effective care and support of community healthcare nurses (CHNs) contribute greatly to the healthy aging of older adults living at home. Integrating innovative technologies into CHNs’ daily practice offers new opportunities and perspectives for early detection of health issues and interventions among home-dwelling older adults. AIM: To explore the perception of acceptability among CHNs of an intelligent wireless sensor system (IWSS) for use in daily practice for the detection of health issues in home-dwelling older adults receiving home healthcare. METHOD: Descriptive and qualitative data were sourced from a pilot randomized controlled trial involving 17 CHNs using an IWSS in their daily practice to rapidly detect falls and other health issues in patients’ homes. IWSS alerts indicating behavior changes were sent to CHNs. Their perceived usefulness (PU) and perceived ease of use (PEOU) were assessed. The acceptability of IWSS technology was explored using a questionnaire and focus group discussions. RESULTS: The PU and PEOU of the IWSS technology were low to moderate. A majority of the CHNs were dissatisfied with its performance and intrusiveness; they reported multiple obstacles in the usefulness and ease of use of the IWSS technology in daily practice. CONCLUSION: To improve the IWSS technology’s low to moderate acceptability among CHNs, we recommend a more user-centered implementation strategy and an embedded model of nursing care.
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spelling pubmed-54201862017-05-31 Acceptability Among Community Healthcare Nurses of Intelligent Wireless Sensor-system Technology for the Rapid Detection of Health Issues in Home-dwelling Older Adults Cohen, Christine Kampel, Thomas Verloo, Henk Open Nurs J Article BACKGROUND: The effective care and support of community healthcare nurses (CHNs) contribute greatly to the healthy aging of older adults living at home. Integrating innovative technologies into CHNs’ daily practice offers new opportunities and perspectives for early detection of health issues and interventions among home-dwelling older adults. AIM: To explore the perception of acceptability among CHNs of an intelligent wireless sensor system (IWSS) for use in daily practice for the detection of health issues in home-dwelling older adults receiving home healthcare. METHOD: Descriptive and qualitative data were sourced from a pilot randomized controlled trial involving 17 CHNs using an IWSS in their daily practice to rapidly detect falls and other health issues in patients’ homes. IWSS alerts indicating behavior changes were sent to CHNs. Their perceived usefulness (PU) and perceived ease of use (PEOU) were assessed. The acceptability of IWSS technology was explored using a questionnaire and focus group discussions. RESULTS: The PU and PEOU of the IWSS technology were low to moderate. A majority of the CHNs were dissatisfied with its performance and intrusiveness; they reported multiple obstacles in the usefulness and ease of use of the IWSS technology in daily practice. CONCLUSION: To improve the IWSS technology’s low to moderate acceptability among CHNs, we recommend a more user-centered implementation strategy and an embedded model of nursing care. Bentham Open 2017-04-17 /pmc/articles/PMC5420186/ /pubmed/28567170 http://dx.doi.org/10.2174/1874434601711010054 Text en © 2017 Cohen et al. https://creativecommons.org/licenses/by/4.0/legalcode This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Cohen, Christine
Kampel, Thomas
Verloo, Henk
Acceptability Among Community Healthcare Nurses of Intelligent Wireless Sensor-system Technology for the Rapid Detection of Health Issues in Home-dwelling Older Adults
title Acceptability Among Community Healthcare Nurses of Intelligent Wireless Sensor-system Technology for the Rapid Detection of Health Issues in Home-dwelling Older Adults
title_full Acceptability Among Community Healthcare Nurses of Intelligent Wireless Sensor-system Technology for the Rapid Detection of Health Issues in Home-dwelling Older Adults
title_fullStr Acceptability Among Community Healthcare Nurses of Intelligent Wireless Sensor-system Technology for the Rapid Detection of Health Issues in Home-dwelling Older Adults
title_full_unstemmed Acceptability Among Community Healthcare Nurses of Intelligent Wireless Sensor-system Technology for the Rapid Detection of Health Issues in Home-dwelling Older Adults
title_short Acceptability Among Community Healthcare Nurses of Intelligent Wireless Sensor-system Technology for the Rapid Detection of Health Issues in Home-dwelling Older Adults
title_sort acceptability among community healthcare nurses of intelligent wireless sensor-system technology for the rapid detection of health issues in home-dwelling older adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5420186/
https://www.ncbi.nlm.nih.gov/pubmed/28567170
http://dx.doi.org/10.2174/1874434601711010054
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