JMIR Aging

AgeTech (technology for older people) offers digital solutions for older adults supporting aging in place, including digital health, assistive technology, Internet of Things, medical devices, robotics, wearables, and sensors. This study underscores the critical role of standards and guidelines in ensuring the safety and effectiveness of these technologies for the health of older adults. As the aging demographic expands, the focus on robust standards becomes vital, reflecting a collective commitment to improving the overall quality of life for older individuals through thoughtful and secure technology integration.

Older adults adopt and use eHealth systems to build autonomy, competence, and relatedness and engage in healthy behaviors. The motivational technology model posits that technology features, such as those on websites, smart displays, and mobile phones, must allow for navigability, interactivity, and customizability, which spur feelings of self-determination and intrinsic motivation. We studied ElderTree, an online system for older adults that provides on-demand videos of healthy living content, self-monitoring, and weekly researcher-hosted video meetings.

China's rapidly aging population necessitates effective strategies for ensuring older adults' quality of life (QOL). While individual factors (IF) and family factors (FF) are known to influence QOL, existing research often examines these factors in isolation or focuses on specific subpopulations, overlooking potential interactions and mediating pathways.

Frailty is a widespread geriatric syndrome among older adults, including hospitalized older inpatients. Some countries use electronic frailty measurement tools to identify frailty at the primary care level, but this method has rarely been investigated during hospitalization in acute care hospitals. An electronic frailty measurement instrument based on population-based hospital electronic health records could effectively detect frailty, frailty-related problems, and complications as well be a clinical alert. Identifying frailty among older adults using existing patient health data would greatly aid the management and support of frailty identification and could provide a valuable public health instrument without additional costs.

Physical activity has emerged as a modifiable behavioral factor to improve cognitive function. However, research into the adherence to remote monitoring of physical activity in older adults remains limited.

The number of older people with unmet health care and support needs is increasing substantially due to the challenges facing healthcare systems worldwide. There are potentially great benefits to using Internet of Things (IoT) coupled with Artificial Intelligence to support independent living and the measurement of health risks, thus improving quality of life for the older adult population. Taking a co-design approach has the potential to ensure that these technological solutions are developed to address specific user needs and requirements.

Growing evidence suggests cognitive and social health benefits can be derived from digital storytelling for older adults with cognitive impairment. Digital storytelling apps offer the potential to serve as an on-demand, easy-to-access platform for enhancing cognitive abilities and promoting social well-being. Yet, despite the increasing quantity of such apps being available on the market, there is a gap in research investigating their quality.

Remote programming enables physicians to adjust implantable pulse generators (IPG) over the internet for patients with Parkinson’s disease (PwPD) who have undergone deep brain stimulation (DBS) surgery. Despite these technological advances, the demand for and attitudes towards remote programming compared to standard programming among PwPD are still not well understood. Objective

The co-occurrence of chronic illnesses and substance use presents complex challenges for health care systems. Understanding the interplay between these factors, compounded by the context of the COVID-19 pandemic, is essential for effective intervention strategies.

Considering the growing population of older adults, addressing the influence of loneliness among this demographic group has become imperative. Especially considering the link between social isolation and deterioration of mental and physical well-being. Technology has the potential of creating innovative solutions to increase socialization and potentially promote healthy aging.

Visual impairment (VI) is a prevalent global health issue, affecting over 2.2 billion people worldwide, with nearly half of the Chinese population aged 60 and above being affected. Early detection of high-risk VI is essential for preventing irreversible vision loss among Chinese middle-aged and elderly adults. While machine learning (ML) algorithms exhibit significant predictive advantages, their application in predicting VI risk among the general middle-aged and elderly population in China remains limited.

As dementia progresses, patients exhibit various psychological and behavioural symptoms, imposing a significant burden on families and society including Behavioural and psychological symptoms of dementia (BPSD). However, caregivers lack professional care knowledge and skills, making it difficult for them to effectively cope with the diverse challenges of caregiving. Therefore, it is urgent to provide caregivers with professional knowledge and skills guidance.