TY - JOUR AU - Li, Haoran AU - Zhang, Jingya AU - Zhang, Ning AU - Zhu, Bin PY - 2025/4/21 TI - Advancing Emergency Care With Digital Twins JO - JMIR Aging SP - e71777 VL - 8 KW - emergency care KW - digital twin KW - prehospital emergency care KW - in-hospital emergency care KW - recovery UR - https://aging.jmir.org/2025/1/e71777 UR - http://dx.doi.org/10.2196/71777 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/71777 ER - TY - JOUR AU - Gray, Kathleen AU - Butler-Henderson, Kerryn AU - Day, Karen PY - 2025/4/2 TI - A Digitally Capable Aged Care Workforce: Demands and Directions for Workforce Education and Development JO - JMIR Aging SP - e54143 VL - 8 KW - aged care KW - digital health KW - digital literacy KW - education KW - older adults KW - professional development KW - digital transformation KW - digital resources KW - users KW - community KW - learning KW - support KW - safe KW - ethical KW - satisfaction UR - https://aging.jmir.org/2025/1/e54143 UR - http://dx.doi.org/10.2196/54143 UR - http://www.ncbi.nlm.nih.gov/pubmed/ ID - info:doi/10.2196/54143 ER - TY - JOUR AU - Herold, Fabian AU - Theobald, Paula AU - Gronwald, Thomas AU - Kaushal, Navin AU - Zou, Liye AU - de Bruin, D. Eling AU - Bherer, Louis AU - Müller, G. Notger PY - 2024/7/31 TI - The Best of Two Worlds to Promote Healthy Cognitive Aging: Definition and Classification Approach of Hybrid Physical Training Interventions JO - JMIR Aging SP - e56433 VL - 7 KW - physical activity KW - dementia prevention KW - cognitive health KW - hybrid: aging in place KW - active KW - exercises KW - exercising KW - healthy lifestyle KW - dementia KW - dementia onset KW - dementia care KW - preventive KW - prevention KW - cognition KW - cognitive KW - hybrid KW - hybrid model UR - https://aging.jmir.org/2024/1/e56433 UR - http://dx.doi.org/10.2196/56433 UR - http://www.ncbi.nlm.nih.gov/pubmed/39083334 ID - info:doi/10.2196/56433 ER - TY - JOUR AU - Zarling, Amie AU - Kim, Joseph AU - Russell, Daniel AU - Cutrona, Carolyn PY - 2024/4/22 TI - Increasing Older Adults? Social Connectedness: Development and Implementation of a Web-Assisted Acceptance and Commitment Therapy?Based Intervention JO - JMIR Aging SP - e47943 VL - 7 KW - acceptance and commitment therapy KW - psychotherapy KW - loneliness KW - technology KW - lonely KW - older adults KW - older adult KW - gerontology KW - geriatric KW - geriatrics KW - emotion regulation KW - mental health KW - elder KW - elderly KW - isolation KW - aging KW - mHealth KW - digital health KW - digital mental health KW - online health KW - online support KW - eHealth KW - internet KW - depression UR - https://aging.jmir.org/2024/1/e47943 UR - http://dx.doi.org/10.2196/47943 ID - info:doi/10.2196/47943 ER - TY - JOUR AU - Randall, Natasha AU - Kamino, Waki AU - Joshi, Swapna AU - Chen, Wei-Chu AU - Hsu, Long-Jing AU - Tsui, M. Katherine AU - ?abanovi?, Selma PY - 2023/10/4 TI - Understanding the Connection Among Ikigai, Well-Being, and Home Robot Acceptance in Japanese Older Adults: Mixed Methods Study JO - JMIR Aging SP - e45442 VL - 6 KW - ikigai KW - meaning in life KW - purpose KW - well-being KW - eudaimonic KW - hedonic KW - happiness KW - home robots KW - social robots KW - human-robot interaction KW - Japan N2 - Background: Ikigai (meaning or purpose in life) is a concept understood by most older adults in Japan. The term has also garnered international attention, with recent academic attempts to map it to concepts in the Western well-being literature. In addition, efforts to use social and home robots to increase well-being have grown; however, they have mostly focused on hedonic well-being (eg, increasing happiness and decreasing loneliness) rather than eudaimonic well-being (eg, fostering meaning or purpose in life). Objective: First, we explored how Japanese older adults experience ikigai and relate these to concepts in the Western well-being literature. Second, we investigated how a home robot meant to promote ikigai is perceived by older adults. Methods: We used a mixed methods research design?including 20 interviews with older adults, a survey of 50 older adults, and 10 interviews with family caregivers. For interviews, we asked questions about older adults? sources of ikigai, happiness, and social support, along with their perception of the robot (QT). For surveys, a number of well-being scales were used, including 2 ikigai scales?ikigai-9 and K-1?and 6 Patient-Reported Outcomes Measurement Information System scales, measuring meaning and purpose, positive affect, satisfaction with participation in social roles, satisfaction with participation in discretionary social activities, companionship, and emotional support. Questions related to the perception and desired adoption of the robot and older adults? health status were also included. Results: Our results suggest that health is older adults? most common source of ikigai. Additionally, although self-rated health correlated moderately with ikigai and other well-being measures, reported physical limitation did not. As opposed to social roles (work and family), we found that ikigai is more strongly related to satisfaction with discretionary social activities (leisure, hobbies, and friends) for older adults. Moreover, we found that older adults? sources of ikigai included the eudaimonic aspects of vitality, positive relations with others, contribution, accomplishment, purpose, and personal growth, with the first 3 being most common, and the hedonic aspects of positive affect, life satisfaction, and lack of negative affect, with the first 2 being most common. However, the concept of ikigai was most related to eudaimonic well-being, specifically meaning in life, along the dimension of significance. Finally, we found that Japanese older adults have high expectations of a home robot for well-being, mentioning that it should support them in a multitude of ways before they would likely adopt it. However, we report that those with the highest levels of meaning, and satisfaction with their leisure life and friendships, may be most likely to adopt it. Conclusions: We outline several ways to improve the robot to increase its acceptance, such as improving its voice, adding functional features, and designing it to support multiple aspects of well-being. UR - https://aging.jmir.org/2023/1/e45442 UR - http://dx.doi.org/10.2196/45442 UR - http://www.ncbi.nlm.nih.gov/pubmed/37792460 ID - info:doi/10.2196/45442 ER - TY - JOUR AU - Brown, L. Ellen AU - Ruggiano, Nicole AU - Allala, Chaithra Sai AU - Clarke, J. Peter AU - Davis, Debra AU - Roberts, Lisa AU - Framil, Victoria C. AU - Muñoz, Hernandez Maríateresa Teri AU - Hough, Strauss Monica AU - Bourgeois, S. Michelle PY - 2023/3/15 TI - Developing a Memory and Communication App for Persons Living With Dementia: An 8-Step Process JO - JMIR Aging SP - e44007 VL - 6 KW - health technology KW - interdisiplinary team KW - older adults KW - dementia KW - communication KW - communication aids for disabled persons KW - communication boards KW - app KW - Alzheimer disease KW - family KW - caregiver KW - clinical care KW - development KW - speech KW - psychosocial intervention KW - software design N2 - International Registered Report Identifier (IRRID): RR2-10.3928/19404921-20210825-02 UR - https://aging.jmir.org/2023/1/e44007 UR - http://dx.doi.org/10.2196/44007 UR - http://www.ncbi.nlm.nih.gov/pubmed/36920462 ID - info:doi/10.2196/44007 ER - TY - JOUR AU - Wang, H. Rosalie AU - Tannou, Thomas AU - Bier, Nathalie AU - Couture, Mélanie AU - Aubry, Régis PY - 2023/3/9 TI - Proactive and Ongoing Analysis and Management of Ethical Concerns in the Development, Evaluation, and Implementation of Smart Homes for Older Adults With Frailty JO - JMIR Aging SP - e41322 VL - 6 KW - ethics KW - older adults KW - frailty KW - smart home KW - assistive technology KW - aging in place KW - ethical concerns KW - implementation KW - bioethics KW - technology ethics KW - autonomy KW - privacy KW - security KW - informed consent KW - support ecosystem UR - https://aging.jmir.org/2023/1/e41322 UR - http://dx.doi.org/10.2196/41322 UR - http://www.ncbi.nlm.nih.gov/pubmed/36892912 ID - info:doi/10.2196/41322 ER - TY - JOUR AU - Shu, Sara AU - Woo, P. Benjamin K. PY - 2023/1/20 TI - Pioneering the Metaverse: The Role of the Metaverse in an Aging Population JO - JMIR Aging SP - e40582 VL - 6 KW - metaverse KW - older adult KW - aging in place KW - dementia KW - gerontology KW - geriatric KW - digital health KW - digital technology KW - computer generated KW - artificial intelligence KW - virtual reality KW - mixed reality KW - augmented reality KW - aging KW - mental health UR - https://aging.jmir.org/2023/1/e40582 UR - http://dx.doi.org/10.2196/40582 UR - http://www.ncbi.nlm.nih.gov/pubmed/36662547 ID - info:doi/10.2196/40582 ER - TY - JOUR AU - Raffegeau, E. Tiphanie AU - Young, R. William AU - Fino, C. Peter AU - Williams, Mark A. PY - 2023/1/11 TI - A Perspective on Using Virtual Reality to Incorporate the Affective Context of Everyday Falls Into Fall Prevention JO - JMIR Aging SP - e36325 VL - 6 KW - aging KW - balance KW - perturbation KW - locomotion KW - cognition KW - exergame KW - anxiety UR - https://aging.jmir.org/2023/1/e36325 UR - http://dx.doi.org/10.2196/36325 UR - http://www.ncbi.nlm.nih.gov/pubmed/36630173 ID - info:doi/10.2196/36325 ER - TY - JOUR AU - Hackett, Katherine AU - Giovannetti, Tania PY - 2022/9/7 TI - Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools JO - JMIR Aging SP - e38130 VL - 5 IS - 3 KW - digital phenotyping KW - neuropsychology KW - aging KW - dementia KW - smartphone KW - neurological KW - psychological KW - older adults UR - https://aging.jmir.org/2022/3/e38130 UR - http://dx.doi.org/10.2196/38130 UR - http://www.ncbi.nlm.nih.gov/pubmed/36069747 ID - info:doi/10.2196/38130 ER - TY - JOUR AU - Wolff, L. Jennifer AU - Dukhanin, Vadim AU - Burgdorf, G. Julia AU - DesRoches, M. Catherine PY - 2022/5/4 TI - Shared Access to Patient Portals for Older Adults: Implications for Privacy and Digital Health Equity JO - JMIR Aging SP - e34628 VL - 5 IS - 2 KW - patient portal KW - electronic health record KW - care partners KW - proxy KW - health equity KW - health informatics KW - health services KW - elderly KW - older adults KW - aging KW - cognition KW - health system KW - care delivery KW - elderly care UR - https://aging.jmir.org/2022/2/e34628 UR - http://dx.doi.org/10.2196/34628 UR - http://www.ncbi.nlm.nih.gov/pubmed/35507405 ID - info:doi/10.2196/34628 ER - TY - JOUR AU - Lim, A. Haikel AU - Lee, Win Joanne Sze AU - Lim, Han Meng AU - Teo, Zhen Lynn Pei AU - Sin, Wen Natalene Siew AU - Lim, Wei Rou AU - Chua, Min Si AU - Yeo, Qi Jia AU - Ngiam, Wen Nerice Heng AU - Tey, Jie-Yin Angeline AU - Tham, Xin Celine Yi AU - Ng, Yi Kennedy Yao AU - Low, Leng Lian AU - Tang, Aaron Kai Wen PY - 2022/5/3 TI - Bridging Connectivity Issues in Digital Access and Literacy: Reflections on Empowering Vulnerable Older Adults in Singapore JO - JMIR Aging SP - e34764 VL - 5 IS - 2 KW - COVID-19 KW - digital literacy KW - digital literacy training KW - digital disparities KW - digital divide KW - social construction of health technologies KW - health technology KW - COVID-19 pandemic KW - pandemic KW - COVID KW - social isolation KW - elder KW - older adult KW - Asia KW - access KW - barrier KW - empower KW - volunteer KW - vulnerable KW - digital skill KW - low income UR - https://aging.jmir.org/2022/2/e34764 UR - http://dx.doi.org/10.2196/34764 UR - http://www.ncbi.nlm.nih.gov/pubmed/35503520 ID - info:doi/10.2196/34764 ER - TY - JOUR AU - Pech, Marion AU - Sauzeon, Helene AU - Yebda, Thinhinane AU - Benois-Pineau, Jenny AU - Amieva, Helene PY - 2021/12/9 TI - Falls Detection and Prevention Systems in Home Care for Older Adults: Myth or Reality? JO - JMIR Aging SP - e29744 VL - 4 IS - 4 KW - elderly people KW - new technologies KW - fall KW - acceptability KW - digital divide KW - aging KW - falls KW - fall prevention KW - detection KW - geriatrics KW - barriers KW - technology acceptance KW - home care KW - seniors UR - https://aging.jmir.org/2021/4/e29744 UR - http://dx.doi.org/10.2196/29744 UR - http://www.ncbi.nlm.nih.gov/pubmed/34889755 ID - info:doi/10.2196/29744 ER - TY - JOUR AU - Egan, E. James AU - Haberlen, A. Sabina AU - Meanley, Steven AU - Ware, Deanna AU - Brown, L. Andre AU - Siconolfi, Daniel AU - Brennan-Ing, Mark AU - Stall, Ron AU - Plankey, W. Michael AU - Friedman, Reuel M. PY - 2021/9/23 TI - Understanding Patterns of Healthy Aging Among Men Who Have Sex With Men: Protocol for an Observational Cohort Study JO - JMIR Res Protoc SP - e25750 VL - 10 IS - 9 KW - HIV KW - aging KW - MSM KW - gay and bisexual men N2 - Background: With the graying of sexual and gender minority communities and the growing number of people aged ?50 years living with HIV, it is increasingly important to understand resilience in the context of the psychosocial aspects of aging and aging well. Objective: This paper aims to describe the methods and sample for the Understanding Patterns of Healthy Aging Among Men Who Have Sex With Men study. Methods: This observational cohort study was conducted within the Multisite AIDS Cohort Study (MACS) and was designed to explore resiliencies to explain patterns of health and illness among middle-aged and older sexual minority men. To be eligible, a participant had to be an active participant in the MACS, be at least 40 years of age as of April 1, 2016, and report any sex with another man since enrollment in the MACS. Results: Eligible participants (N=1318) completed six biannual surveys between April 2016 and April 2019. The mean age of the sample was 59.6 years (range 40-91 years). The sample was mostly White, educated, gay-identified, and included both HIV-positive (656/1318, 49.77%) and HIV-negative (662/1318, 50.23%) men. Conclusions: Understanding resiliencies in aging is a critical springboard for the development of more holistic public health theories and interventions that support healthy aging among older sexual minority men. International Registered Report Identifier (IRRID): RR1-10.2196/25750 UR - https://www.researchprotocols.org/2021/9/e25750 UR - http://dx.doi.org/10.2196/25750 UR - http://www.ncbi.nlm.nih.gov/pubmed/34554100 ID - info:doi/10.2196/25750 ER - TY - JOUR AU - Benavides, Lynn Heidi AU - Meireles, Lumachi Christiane AU - Benavente, Viola AU - Mays, Helen Mary AU - Wang, Jing PY - 2021/7/5 TI - Decreasing COVID-19 Risk Factors for Older Adults by Using Digital Technology to Implement a Plant-Based-Diet: An Opinion JO - JMIR Aging SP - e25327 VL - 4 IS - 3 KW - COVID-19 KW - coronavirus KW - older adult KW - plant-based diet KW - eating patterns KW - whole foods KW - Mediterranean diet KW - obesity KW - pandemic KW - ethnic minorities KW - telehealth KW - digital technology KW - racial disparities KW - aging UR - https://aging.jmir.org/2021/3/e25327 UR - http://dx.doi.org/10.2196/25327 UR - http://www.ncbi.nlm.nih.gov/pubmed/34081595 ID - info:doi/10.2196/25327 ER - TY - JOUR AU - LaMonica, M. Haley AU - Davenport, A. Tracey AU - Roberts, E. Anna AU - Hickie, B. Ian PY - 2021/1/6 TI - Understanding Technology Preferences and Requirements for Health Information Technologies Designed to Improve and Maintain the Mental Health and Well-Being of Older Adults: Participatory Design Study JO - JMIR Aging SP - e21461 VL - 4 IS - 1 KW - aging KW - mental health KW - technology KW - mobile phone KW - community-based participatory research KW - health care reform KW - stakeholder participation N2 - Background: Worldwide, the population is aging rapidly; therefore, there is a growing interest in strategies to support and maintain health and well-being in later life. Although familiarity with technology and digital literacy are increasing among this group, some older adults still lack confidence in their ability to use web-based technologies. In addition, age-related changes in cognition, vision, hearing, and perception may be barriers to adoption and highlight the need for digital tools developed specifically to meet the unique needs of older adults. Objective: The aim of this study is to understand the use of technology by older adults in general and identify the potential barriers to and facilitators of the adoption of health information technologies (HITs) to support the health and well-being of older adults to facilitate implementation and promote user uptake. In addition, this study aims to co-design and configure the InnoWell Platform, a digital tool designed to facilitate better outcomes for people seeking mental health services, to meet the needs of adults 50 years and older and their supportive others (eg, family members, caregivers) to ensure the accessibility, engagement, and appropriateness of the technology. Methods: Participants were adults 50 years and older and those who self-identified as a supportive other (eg, family member, caregiver). Participants were invited to participate in a 3-hour participatory design workshop using a variety of methods, including prompted discussion, creation of descriptive artifacts, and group-based development of user journeys. Results: Four participatory design workshops were conducted, including a total of 21 participants, each attending a single workshop. Technology use was prevalent, with a preference indicated for smartphones and computers. Factors facilitating the adoption of HITs included personalization of content and functionality to meet and be responsive to a consumer?s needs, access to up-to-date information from reputable sources, and integration with standard care practices to support the relationship with health professionals. Concerns regarding data privacy and security were the primary barriers to the use of technology to support mental health and well-being. Conclusions: Although HITs have the potential to improve access to cost-effective and low-intensity interventions at scale for improving and maintaining mental health and well-being, several strategies may improve the uptake and efficacy of technologies by the older adult community, including the use of co-design methodologies to ensure usability, acceptability, and appropriateness of the technology; support in using and understanding the clinical applications of the technology by a digital navigator; and ready availability of education and training materials. UR - https://aging.jmir.org/2021/1/e21461 UR - http://dx.doi.org/10.2196/21461 UR - http://www.ncbi.nlm.nih.gov/pubmed/33404509 ID - info:doi/10.2196/21461 ER - TY - JOUR AU - Walton, Campbell Courtney AU - Lampit, Amit AU - Boulamatsis, Christos AU - Hallock, Harry AU - Barr, Polly AU - Ginige, Anupama Jeewani AU - Brodaty, Henry AU - Chau, Tiffany AU - Heffernan, Megan AU - Sachdev, Singh Perminder AU - Fiatarone Singh, A. Maria AU - Valenzuela, Michael PY - 2019/02/27 TI - Design and Development of the Brain Training System for the Digital ?Maintain Your Brain? Dementia Prevention Trial JO - JMIR Aging SP - e13135 VL - 2 IS - 1 KW - computerized cognitive training KW - dementia KW - clinical trial design KW - older adults N2 - Background: Dementia is the leading cause of disability worldwide, and interventions aimed at reducing the prevalence and burden of the disease are urgently needed. Maintain Your Brain (MYB) is a randomized controlled trial of a multimodal digital health intervention targeting modifiable dementia risk factors to combat cognitive decline and potentially prevent dementia. In addition to behavioral modules targeting mood, nutrition, and physical exercise, a new Brain Training System (BTS) will deliver computerized cognitive training (CCT) throughout the trial to provide systematic, challenging, and personally adaptive cognitive activity. Objective: This paper aimed to describe the design and development of BTS. Methods: BTS has been designed with a central focus on the end user. Raw training content is provided by our partner NeuroNation and delivered in several innovative ways. A baseline cognitive profile directs selection and sequencing of exercises within and between sessions and is updated during the 10-week 30-session module. Online trainers are available to provide supervision at different levels of engagement, including face-to-face share-screen coaching, a key implementation resource that is triaged by a ?red flag? system for automatic tracking of user adherence and engagement, or through user-initiated help requests. Individualized and comparative feedback is provided to aid motivation and, for the first time, establish a social support network for the user based on their real-world circle of friends and family. Results: The MYB pilot was performed from November 2017 to March 2018. We are currently analyzing data from this pilot trial (n=100), which will make up a separate research paper. The main trial was launched in June 2018. Process and implementation data from the first training module (September to November 2018) are expected to be reported in 2019 and final trial outcomes are anticipated in 2022. Conclusions: The BTS implemented in MYB is focused on maximizing adherence and engagement with CCT over the short and long term in the setting of a fully digital trial, which, if successful, could be delivered economically at scale. Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12618000851268; https://www.anzctr.org.au /Trial/Registration/TrialReview.aspx?id=370631&isReview=true UR - http://aging.jmir.org/2019/1/e13135/ UR - http://dx.doi.org/10.2196/13135 UR - http://www.ncbi.nlm.nih.gov/pubmed/31518277 ID - info:doi/10.2196/13135 ER -