Journal of Medical Internet Research

Digital technologies can substantially improve mental health care by facilitating measurement-based care through routine outcome monitoring. However, their effectiveness is constrained by the extent to which these technologies are used by services, clinicians, and clients.

Conversational agents (CAs) are increasingly used as a promising tool for scalable, accessible, and personalized self-management support of people with a chronic disease. Studies of CAs for self-management of chronic disease operate within a multidisciplinary domain: self-management originates from (behavioral) psychology and CAs stem from intervention technology, while diseases are typically studied within the biomedical context. To ensure their effectiveness, structured evaluations and descriptions of the interventions, integrating biomedical, behavioral, and technological perspectives, are essential.

Hypertension is a significant public health concern in low- and middle-income countries (LMICs) where access to care is crucial for effective treatment and control. Virtual health modalities provide a promising solution to overcome barriers to care, particularly in under-resourced communities if those communities engage with the technology.

Internet-based cognitive behavioural therapy (iCBT) interventions are effective in clinical trials; however, iCBT implementation data are seldom reported.

Mental ill health is a leading cause of disability worldwide, but access to evidence-based support remains limited. Digital mental health interventions offer a timely and low-cost solution. However, improvements in clinical outcomes are reliant on user engagement, which can be low for digital interventions. User characteristics, including demographics and personality traits, could be used to personalize platforms to promote longer-term engagement and improved outcomes.

Heart failure is a complex syndrome that requires long-term management, including self-care, to prevent decompensation and hospitalization. Although a range of interventions exists, evidence supporting their effectiveness remains limited, prompting calls for more theory-informed and user-centered approaches. The rapid advancement of mobile and digital technologies offers new opportunities to improve self-care, particularly when interventions are grounded in behavioral theory and shaped by user-input.

Background: Generative artificial intelligence (GenAI) has rapidly emerged as a promising tool in healthcare. Despite its growing adoption, how physicians make use of it in medical practice have not been qualitatively studied. Existing literature has largely focused on theoretical applications or experimental validations, with limited insight into real-world physician engagement with GenAI technologies.

By the end of 2022, 1.223 million people were living with HIV (PLWH) in China. Beyond medical challenges, they often face stigma and social exclusion. In China, Sina Weibo—with over 582 million monthly active users as of 2022—has emerged as a critical space where PLWH, identifying as “A-friends”. They navigated these complex dynamics of visibility. Visibility, understood as both the capacity to be seen and the power relations it entails, is a central affordance of social media.

Digital health technology (DHT) is increasingly vital for managing chronic diseases, as it enables patients to actively manage their health. Such tools have been shown to improve self-management and compliance with medical advice. Nonetheless, for DHT to be fully effective, patients with chronic conditions must be digitally literate. The eHealth Literacy Scale (eHEALS), an 8-item tool with a score range of 8-40, was developed to assess individuals’ perceived ability to find, evaluate, and apply digital health information. It is essential to assess a patient's digital health literacy (DHL) and understand what factors affect it to improve resource accessibility and usability.

The field of Alzheimer’s disease (AD) moves towards earlier detection, personalized assessment of dementia risk, and dementia prevention. In the near future, a gap is expected between the growing demand for Alzheimer-related healthcare and a shrinking workforce. Responsibility is increasingly assigned to individuals to take an active role in their own brain health management and dementia prevention. Digital tools are thought to offer support regarding these processes.

With the rapid development and iteration of generative artificial intelligence, the growing popularity of such groundbreaking tools among nurse researchers, represented by ChatGPT, is receiving passionate debate and intrigue. Although there has been qualitative research on generative artificial intelligence in other fields, little is known about the experiences and perceptions of nurse researchers, and this study seeks to report on the subject.

Computerized critical care information systems (CCIS) can have a range of positive to negative impacts on clinical care in ICUs and the job satisfaction of ICU staff. Key factors influencing these effects include the usability of the IT system and the level of training provided. Resistance to using the system may arise from users due to increased control imposed by the system and from insufficient participation in its development and configuration. The usability of CCIS, along with other important barriers such as co-determination, has not been thoroughly examined.