Journal of Medical Internet Research

High rates of social media use and mental ill-health among young people have drawn significant public, policy, and research concern. Rapid technological advancements and changes in platform design have outpaced our understanding of the health effects of social media and hampered timely evidence-based regulatory responses. While a proliferation of recommendations to social media companies and governments has been published, a comprehensive summary of recommendations for protecting young people’s mental health and digital safety does not yet exist.

Having well-informed patients is crucial to enhancing patient satisfaction, quality of life, and health outcomes, which in turn optimizes health care use. Traditional methods of delivering information, such as booklets and leaflets, are often ineffective and can overwhelm patients. Educational videos represent a promising alternative; however, their production typically requires significant time and financial resources. Video production using generative artificial intelligence (AI) technology may provide a solution to this problem.

Compared with implementation, the conceptual frameworks, strategies, and outcomes of efforts to disseminate behavioral interventions are less developed. We conducted a scoping review of the systematic reviews of social media strategies to disseminate behavior change interventions. We focused on the common themes in the methodology and evaluation frameworks of social media–based dissemination strategies.

Clinical Decision Support Systems (CDSS) have the potential to play a crucial role in enhancing healthcare quality by providing evidence-based information to clinicians at the point of care. Despite their increasing popularity, there is a lack of comprehensive research exploring their design characterisation and trends. This limits our understanding and ability to optimise their functionality, usability, and adoption in healthcare settings.

Utilization of virtual reality-based biofeedback (VR-based BF) represents an emerging nonpharmacological intervention for enhancing sleep quality in individuals exhibiting depressive symptoms, anxiety symptoms, or both. However, empirical evidence regarding its efficacy in addressing sleep disturbances remains limited and inconclusive.

We read this Viewpoint with great interest, and commend the Authors for their thoughtful discussion on tribal public authority, as well as barriers and facilitators to the responsible use of data generated by or collected from members of sovereign American Indian and Alaska Native (AI/AN) Nations [1]. Key topics not covered by the Authors that warrant discussion include tribal public health workforce development, data systems infrastructure, and federal facilitation of tribal self-governance programs. These additional topics will better contextualize the ethical, legal, and social issues specific to AI/AN public health practice.

The provision of specialized, professionally coordinated, and interdisciplinary care is relevant for the care of transgender and gender diverse (TGD) people diagnosed with gender incongruence/gender dysphoria. In remote areas outside the metropolitan regions, however, transgender health care structures are rarely adequate or within reach. In order to improve transgender health care for TGD people, an interdisciplinary, internet-based transgender health care program (i²TransHealth) has been developed.

Digital mental health tools promise to enhance the reach and quality of care. Current tools often recommend content to individuals, typically using generic knowledge-based systems or predictive artificial intelligence (AI). However, predictive AI is problematic for interventional recommendations as cause-effect relationships can be confounded in observed data. Therefore, causal AI are required to compare future outcomes under different interventions.

Surgical consent forms must convey critical information, yet their complex language can limit patient comprehension. Large language models (LLMs) may improve readability, but evidence of their impact on content preservation is lacking in non-English contexts.

The rising prevalence of dementia necessitates a scalable solution to cognitive screening. Paper-based cognitive screening examinations are well-validated but minimally scalable. If a digital cognitive screening examination could replicate paper-based screening, it may improve scalability while potentially maintaining performance of these well-validated paper-based tests. Here, we evaluate the Rapid Online Cognitive Assessment (RoCA), a remote and self-administered digital cognitive screening examination.

The past 25 years has seen the explosion of digital healthcare – from 1s and 0s initially serving mostly researchers to accomplish their work, to the creation of smartphones, mHealth and more recently Artificial Intelligence. The revolution for digital mental health is no longer in its infancy, as new tools are created to address mental health, sometimes even undergoing evaluation for adoption and efficacy. In fact, a recent study reporting on National Health Interview Survey data (annually conducted by the National Center for Health Statistics) indicate that in 2024, 40% of adults reporting serious psychological distress used a digital health tool, up from 21% in 2017 and 10% in 2013. Given widespread access to digital tools and the potential of digital mental health, it is time for a new paradigm of care to address the mental health crisis in the United States. Reactive care, consisting largely of medication and counseling provided to those already experiencing severe or debilitating symptoms of mental anguish, is not adequate to address the needs of 22.8% of the U.S. population (>55 million people) experiencing symptoms of a mental illness, and the larger number of people with pre-clinical mental health concerns. A population mental-health approach is needed that includes early identification, intervention, and prevention, in addition to reactive care.

Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive care unit (ICU) and can adversely impact prognosis and augment the risk of complications.