Guisado-Fernández, E., Giunti, G., Mackey, L. M., Blake, C., Caulfield, B. M. (2019) Factors Influencing the Adoption of Smart Health Technologies for People With Dementia and Their Informal Caregivers: Scoping Review and Design Framework. JMIR Aging, 2 (1), e12192. doi:10.2196/12192
Factors influencing the adoption of Smart Health technologies for people with dementia and their informal caregivers : scoping review and design framework
|Author:||Guisado-Fernández, Estefanía1,2; Giunti, Guido3; Mackey, Laura M.1;|
1University College Dublin School of Public Health, Physiotherapy and Sports Science, Dublin, Ireland
2Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
3University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019100230852
|Publish Date:|| 2019-10-02
Background: Smart Health technologies (s-Health technologies) are being developed to support people with dementia (PwD) and their informal caregivers at home, to improve care and reduce the levels of burden and stress they experience. However, although s-Health technologies have the potential to facilitate this, the factors influencing a successful implementation in this population are still unknown.
Objective: The aim of this study was to review existing literature to explore the factors influencing PwD and their informal caregivers’ adoption of s-Health technologies for home care.
Methods: Following the Arksey and O’Malley methodology, this study is a scoping review providing a narrative description of the scientific literature on factors influencing s-Health technology adoption for PwD and their informal caregivers. A search was conducted using PubMed, the Cochrane library, the IEEE library, and Scopus. Publications screening was conducted by 2 researchers based on inclusion criteria, and full-text analysis was then conducted by 1 researcher. The included articles were thematically analyzed by 2 researchers to gain an insight into factors influencing adoption that PwD and their informal caregivers have to encounter when using s-Health technologies. Relevant information was identified and coded. Codes were later discussed between the researchers for developing and modifying them and for achieving a consensus, and the researchers organized the codes into broader themes.
Results: Emerging themes were built in a way that said something specific and meaningful about the research question, creating a list of factors influencing the adoption of s-Health technologies for PwD and their informal caregivers, including attitudinal aspects, ethical issues, technology-related challenges, condition-related challenges, and identified gaps. A design framework was created as a guide for future research and innovation in the area of s-Health technologies for PwD and their informal caregivers: DemDesCon for s-Health Technologies. DemDesCon for s-Health Technologies addresses 4 domains to consider for the design and development of s-Health technologies for this population: cognitive decline domain, physical decline domain, social domain, and development domain.
Conclusions: Although s-Health technologies have been used in health care scenarios, more work is needed for them to fully achieve their potential for use in dementia care. Researchers, businesses, and public governments need to collaborate to design and implement effective technology solutions for PwD and their informal caregivers, but the lack of clear design guidelines seems to be slowing the process. We believe that the DemDesCon framework will provide them with the guidance and assistance needed for creating meaningful devices for PwD home care and informal caregivers, filling a much-needed space in the present knowledge gap.
Journal of medical internet research
|Type of Publication:||
A2 Review article in a scientific journal
|Field of Science:||
113 Computer and information sciences
217 Medical engineering
3141 Health care science
3121 General medicine, internal medicine and other clinical medicine
EG-F and GG gratefully acknowledge a grant (#676201) for the Connected Health Early-Stage Researcher Support System (CHESS ITN) from the Horizon 2020 Framework Programme of the European Commission. LMM gratefully acknowledges a grant (DEM-2015-1464) from the Health Research Board Ireland.
|EU Grant Number:||
(676201) CHESS - Connected Health Early Stage Researcher Support System
© Estefanía Guisado-Fernández, Guido Giunti, Laura M Mackey, Catherine Blake, Brian Michael Caulfield. Originally published in JMIR Aging (http://aging.jmir.org), 30.04.2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on http://aging.jmir.org, as well as this copyright and license information must be included.