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      Development of an Internet of Things Technology Platform (the NEX System) to Support Older Adults to Live Independently: Protocol for a Development and Usability Study

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          Abstract

          Background

          In a rapidly aging population, new and efficient ways of providing health and social support to older adults are required that not only preserve independence but also maintain quality of life and safety.

          Objective

          The NEX project aims to develop an integrated Internet of Things system coupled with artificial intelligence to offer unobtrusive health and wellness monitoring to support older adults living independently in their home environment. The primary objective of this study is to develop and evaluate the technical performance and user acceptability of the NEX system. The secondary objective is to apply machine learning algorithms to the data collected via the NEX system to identify and eventually predict changes in the routines of older adults in their own home environment.

          Methods

          The NEX project commenced in December 2019 and is expected to be completed by August 2022. Mixed methods research (web-based surveys and focus groups) was conducted with 426 participants, including older adults (aged ≥60 years), family caregivers, health care professionals, and home care workers, to inform the development of the NEX system (phase 1). The primary outcome will be evaluated in 2 successive trials (the Friendly trial [phase 2] and the Action Research Cycle trial [phase 3]). The secondary objective will be explored in the Action Research Cycle trial (phase 3). For the Friendly trial, 7 older adult participants aged ≥60 years and living alone in their own homes for a 10-week period were enrolled. A total of 30 older adult participants aged ≥60 years and living alone in their own homes will be recruited for a 10-week data collection period (phase 3).

          Results

          Phase 1 of the project (n=426) was completed in December 2020, and phase 2 (n=7 participants for a 10-week pilot study) was completed in September 2021. The expected completion date for the third project phase (30 participants for the 10-week usability study) is June 2022.

          Conclusions

          The NEX project has considered the specific everyday needs of older adults and other stakeholders, which have contributed to the design of the integrated system. The innovation of the NEX system lies in the use of Internet of Things technologies and artificial intelligence to identify and predict changes in the routines of older adults. The findings of this project will contribute to the eHealth research agenda, focusing on the improvement of health care provision and patient support in home and community environments.

          International Registered Report Identifier (IRRID)

          DERR1-10.2196/35277

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          Most cited references44

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          Using thematic analysis in psychology

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            Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living

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              User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

                Author and article information

                Contributors
                Journal
                JMIR Res Protoc
                JMIR Res Protoc
                ResProt
                JMIR Research Protocols
                JMIR Publications (Toronto, Canada )
                1929-0748
                May 2022
                5 May 2022
                : 11
                : 5
                : e35277
                Affiliations
                [1 ] Centre for eIntegrated Care, School of Nursing, Psychotherapy and Community Health Dublin City University Dublin Ireland
                [2 ] Insight Centre for Data Analytics Dublin City University Dublin Ireland
                [3 ] School of Psychology Dublin City University Dublin Ireland
                [4 ] School of Computing Dublin City University Dublin Ireland
                [5 ] Davra Dublin Ireland
                [6 ] Danalto Limited Dublin Ireland
                [7 ] Insight Centre for Data Analytics, School of Health and Human Performance Dublin City University Dublin Ireland
                Author notes
                Corresponding Author: Claire M Timon claire.timon@ 123456dcu.ie
                Author information
                https://orcid.org/0000-0002-5778-6003
                https://orcid.org/0000-0001-6638-0489
                https://orcid.org/0000-0001-6161-248X
                https://orcid.org/0000-0003-4395-7702
                https://orcid.org/0000-0002-9382-5241
                https://orcid.org/0000-0001-9799-1717
                https://orcid.org/0000-0001-8440-7366
                https://orcid.org/0000-0001-5558-1269
                https://orcid.org/0000-0003-1028-8389
                https://orcid.org/0000-0003-2015-8967
                https://orcid.org/0000-0003-2840-9361
                https://orcid.org/0000-0002-3262-1130
                Article
                v11i5e35277
                10.2196/35277
                9121220
                35511224
                00245c4c-4223-46ef-86b7-294e063dc34b
                ©Claire M Timon, Emma Heffernan, Sophia M Kilcullen, Hyowon Lee, Louise Hopper, Joe Quinn, David McDonald, Pamela Gallagher, Alan F Smeaton, Kieran Moran, Pamela Hussey, Catriona Murphy. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 05.05.2022.

                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 Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.

                History
                : 29 November 2021
                : 3 January 2022
                : 27 February 2022
                : 21 March 2022
                Categories
                Protocol
                Protocol

                independent living,older adults,internet of things,wearable electronic devices,activities of daily living,mobile phone

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