JMIR Formative Research

Among 80 wearable members stratified into quartiles of attainment of combined physical-activity and sleep recommendations, higher attainment showed age-adjusted associations with lower resting heart rate and BMI and higher heart rate variability. The lowest-attainment quartile incurred approximately 12-fold higher annual per-member health care spending than the other quartiles.

The growing interest in promoting child health requires minimally invasive biospecimen collection. Particularly during and since the COVID-19 pandemic, there has been increased interest in microsampling technology to democratize participation in research involving biospecimens, particularly for children. These advances mitigate barriers, such as scheduling, transportation, and psychosocial challenges. Tasso is a microsampling biomedical device that has gained popularity in research. It uses a vacuum-assisted capillary system that attaches to the upper arm and is considered minimally invasive, as it requires no venipuncture or phlebotomist. Yet, important gaps remain in understanding Tasso performance, particularly among pediatric populations where its administration is limited.

Veterans experiencing moral injury (ie, having witnessed or done something during military service that conflicts with one’s value system) may encounter challenges that affect engagement and learning in online contexts.

Depression prevalence is rising in adolescents and young adults (ages 10-24 years). Traditional screening methods for depression, such as the Patient Health Questionnaire (PHQ-9), are particularly challenging for adolescents. AI has potential to help with this, but the scarcity of annotated datasets highlights the need for off-the-shelf approaches. In this study, we investigate the feasibility of using state-of-the-art large language models (LLMs) to detect depressive symptoms in adolescent settings (ages 15-17 years).

Delirium is a complex neuropsychiatric syndrome whose severe and lasting consequences in hospitalized patients are largely considered preventable. Prevention primarily relies on the early identification of high-risk patients prior to syndrome onset. However, this remains challenging in clinical practice due to the absence of a diagnostic gold standard and the considerable administrative burden associated with established screening tools such as the 4AT score.

The prevalence of opioid use disorder (OUD) among women giving birth in US hospitals continues to rise. Increasing fatalities due to perinatal drug overdose have in part been attributed to decreased access to social support and treatment services. In recent years, mobile health (mHealth) technologies have been used to provide care to patients outside of traditional clinical settings. Given that perinatal OUD treatment works best when there is frequent contact between patient and clinician, harnessing mHealth could be valuable for improving patient engagement in perinatal OUD care.

AI is increasingly integrated into health care systems worldwide, with growing implications for pharmacy practice. Although studies have reported general perceptions of AI, gaps between awareness and practical implementation remain evident, particularly in middle-income settings.

Clinical trial data pipelines must follow Clinical Data Interchange Standards Consortium (CDISC) standards, including the study data tabulation model (SDTM) and analysis data model (ADaM). General-purpose large language models (LLMs) can produce plausible artifacts that omit required variables, misuse terminology, or invent derivation logic. Curated context may reduce these errors, but the value of organizing that context by workflow topology has not been separated from corpus access alone.

In the United Kingdom, first contact practitioners (FCPs) provide direct access to musculoskeletal (MSK) assessment and management in primary care. This means FCPs have to assess patients with no prior medical screening, which assumes reliance on developed skills and experience. The pool of appropriately experienced physiotherapists is limited, and less experienced clinicians have been recruited. A 2026 national evaluation found substantial variation in FCP service delivery, with data collection and governance among its structural causes. The Primary Care Individual Social Norms MSK Data Dashboard (PRISM) dashboard gives FCPs feedback on their clinical activity relative to their peers to support reflection toward improving MSK care.

In Japan, employed men younger than 40 years are not eligible for specific health guidance, and evidence regarding obesity interventions targeting this population is limited. Furthermore, due to the shortage of human resources in occupational health settings, a need has arisen for simple and implementable support methods. Support via SMS text message is expected to be a low-cost and scalable method for health guidance; however, its effectiveness in this target population has not been sufficiently evaluated.

A positive difference between biological age (BA) and chronological age indicates accelerated aging. The application of existing BA models is limited by high technical demands, a lack of alignment across diverse populations, and difficulty in updating them to accommodate expanding cohorts.

Physicians rely on electronic health record (EHR) systems to make informed decisions and deliver high-quality care. Although the introduction of EHR systems has created significant opportunities for improving patient care, it has also introduced challenges related to information overload and increased cognitive demands.