JMIR Formative Research

The rapid expansion of telehealth has outpaced formal training in virtual interprofessional collaboration across health professions education. Although telehealth and interprofessional education (IPE) competency frameworks exist, limited evidence informs how longitudinal, virtual IPE curricula prepare learners for team-based telehealth practice.

Salud en Mis Manos (SEMM) is a community health worker–delivered evidence-based intervention shown to increase breast and cervical cancer screening in medically underserved Latinas. Despite SEMM’s success in community-based settings, clinic-based implementation is limited.

Psoriasis is a lifelong, relapsing, quick-to-flare skin disease that requires personalized, continuous management. Due to its unpredictable nature, there is an increasing interest in using electronic patient-reported outcome measures (ePROMs) for remote monitoring of the condition. However, adherence to ePROMs and predictors of adherence have not been sufficiently explored among patients with psoriasis.

Falls are a major public health concern due to their impact on individuals and the health system. StandingTall (Ylva Health Pty Ltd) is a digital balance exercise app that has demonstrated strong adherence and fall-reduction effects in Australia. Before considering implementation in Canada, its acceptability must be assessed.

Despite the effectiveness of bariatric surgery in the treatment of severe obesity, a substantial proportion of patients experience insufficient weight loss or weight regain over time. Evidence indicates that behavioral factors and mental health conditions play a central role in these outcomes, representing strategic targets for educational and technology-based self-monitoring interventions.

Consumer wearable activity monitors are increasingly being used as end points in exercise-oncology trials and in clinical decision-making, yet their accuracy is unvalidated in lung cancer, where slow, fragmented gait may challenge step-counting algorithms.

Breast cancer is a leading cause of mortality among Thai women. Breast self-examination (BSE) is a low-cost practice that promotes breast health awareness and familiarity with breast changes; however, adherence and correct technique remain suboptimal, partly due to limited guidance and reminder systems. Mobile health (mHealth) interventions could support BSE practice.

Physical activity, sedentary behavior, sleep, and eating behavior are recognized as key contributors to physical and mental health. Ecological momentary assessment (EMA) can capture both the temporal variations and contextual correlates of these behaviors.

South Asian American gay, bisexual, and other men who have sex with men (GBM) experience multiple minority stressors, such as internalized homophobia, racial prejudice, and homonegative discrimination, thereby elevating their risk of HIV. Due to the scarcity of HIV scientific literature focusing on South Asian American GBM, little is known about their use of pre-exposure prophylaxis (PrEP) or the upstream factors influencing its uptake.

Patients with cardiovascular disease (CVD) often struggle to develop and maintain heart-healthy physical activity habits, even after completing a cardiac rehabilitation program. Digital tools offer opportunities to support long-term behavior change in secondary prevention. The aktivplan digital health intervention (DHI) was designed to help patients establish heart-healthy physical activity routines.

Approximately one-third of Canadian children have insomnia or symptoms of insomnia, defined as chronic and frequent difficulties falling and/or staying asleep. Most health care providers (HCPs) in Canada do not receive comprehensive formal training in the screening, assessment, or management of pediatric insomnia.

Open-source, mid-scale large language models (LLMs) have emerged as scalable, privacy-preserving alternatives to ultra-large foundation models (eg, GPT-4) in health care systems. Techniques such as retrieval-augmented generation (RAG) enable sub-100-billion-parameter models to address highly specialized medical domains such as anesthesiology. However, studies evaluating RAG architectures on complex medical examinations remain scarce, highlighting the need for rigorous benchmarking to bridge the gap between raw parametric knowledge and clinically relevant application.