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Developing Independent Living Support for Older Adults Using Internet of Things and AI-Based Systems: Co-Design Study

Developing Independent Living Support for Older Adults Using Internet of Things and AI-Based Systems: Co-Design Study

The world is witnessing a rapidly aging population. Population aging can be seen as one of the greatest successes of public health, as a longer life brings opportunities, not only for older people and their families, but also for societies as a whole [1]. The extent of these opportunities and contributions however depends heavily on one factor: healthy and positive aging [1].

Claire M Timon, Emma Heffernan, Sophia Kilcullen, Louise Hopper, Hyowon Lee, Pamela Gallagher, Alan F Smeaton, Kieran Moran, Pamela Hussey, Catriona Murphy

JMIR Aging 2024;7:e54210

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

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

One of the challenges is that those who live longer do so with a combination of chronic disease, multi-morbidity, and frailty. Support for independent living is, therefore, a major concern for older adults themselves, in addition to family caregivers and health and social care providers. As the vast majority (95%) of older adults in Ireland live in private households [3] and want to remain living at home, this is primarily a community-based issue requiring a home-based response.

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

JMIR Res Protoc 2022;11(5):e35277

Feasibility, Acceptability, and Clinical Effectiveness of a Technology-Enabled Cardiac Rehabilitation Platform (Physical Activity Toward Health-I): Randomized Controlled Trial

Feasibility, Acceptability, and Clinical Effectiveness of a Technology-Enabled Cardiac Rehabilitation Platform (Physical Activity Toward Health-I): Randomized Controlled Trial

A convenience sample of 120 eligible patients with CVD (aged 40-80 years) was randomized on a 1:1 basis, stratified by country, to usual care control group (UC) or PATHway intervention group (PW) during the last 4 weeks of a phase II outpatient CR program. The randomization schedules were generated for the different centers using a computerized random number generator [23]. The inclusion and exclusion criteria have been reported previously [23].

Jomme Claes, Véronique Cornelissen, Clare McDermott, Niall Moyna, Nele Pattyn, Nils Cornelis, Anne Gallagher, Ciara McCormack, Helen Newton, Alexandra Gillain, Werner Budts, Kaatje Goetschalckx, Catherine Woods, Kieran Moran, Roselien Buys

J Med Internet Res 2020;22(2):e14221

MedFit App, a Behavior-Changing, Theoretically Informed Mobile App for Patient Self-Management of Cardiovascular Disease: User-Centered Development

MedFit App, a Behavior-Changing, Theoretically Informed Mobile App for Patient Self-Management of Cardiovascular Disease: User-Centered Development

A total of 74.1% (88/119) of participants had a tablet computer, and 75.2% (90/119) owned a smartphone. A high percentage also revealed that they have used mobile apps on their smartphones (86/119, 72.3%). Analysis of the UTAUT2 questionnaire revealed that performance expectancy, social influence, hedonic motivation, behavioral intention, effort expectancy, and facilitating conditions all rated highly among a majority of respondents.

Orlaith Mj Duff, Deirdre Walsh, Shauna Malone, Lauri McDermott, Brona Furlong, Noel O'Connor, Kieran Moran, Catherine Woods

JMIR Form Res 2018;2(1):e8

Behavior Change Techniques in Physical Activity eHealth Interventions for People With Cardiovascular Disease: Systematic Review

Behavior Change Techniques in Physical Activity eHealth Interventions for People With Cardiovascular Disease: Systematic Review

In terms of mortality rates, a systematic review and meta-analysis of 34 RCTs (n=6111 myocardial infarction patients) showed that those who attended CR had a lower risk of all-cause mortality than non-attendees (odds ratio=0.74, 95% CI 0.58-0.95) [6].

Orlaith Mairead Duff, Deirdre MJ Walsh, Bróna A Furlong, Noel E O'Connor, Kieran A Moran, Catherine B Woods

J Med Internet Res 2017;19(8):e281