JMIR Research Protocols

Maternal and child oral health remains a significant public health concern in India, contributing to early childhood caries, adverse pregnancy outcomes, and long-term health complications. Anganwadi workers (AWWs), under the Integrated Child Development Services Scheme (ICDS), are well positioned to promote preventive oral health behaviors. However, oral health education is not part of their core training. This protocol outlines an implementation research study to develop, deliver, and evaluate a contextualized oral health education training package through AWWs for mother-child dyads in Kochi, Kerala.

Quality care for pediatric type 1 diabetes (T1D) requires frequent, multidisciplinary visits. Technological and clinical innovation have led to changes in T1D management, resulting in increasing data exchange required during these visits. Capturing comprehensive personal health and diabetes-related information discretely and integrating it into the clinical workflow is critical for optimal T1D care but is time-consuming. Time spent on data transfer often results in less time for holistic care and can lead to unmet needs for patients, families, and health care providers, as well as increased time pressures in clinic. To address this, the Children’s Hospital of Eastern Ontario developed a caregiver proxy-reported questionnaire distributed via the MyChart patient portal, allowing families to input care information ahead of visits with the aim of dedicating more clinic time to personalized care. The launch of this tool, which integrates caregiver-entered information into the physician’s documentation workflow, brings the opportunity to systematically evaluate its impact on care quality and efficiency, with potential implications for broader adoption.

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Many adults are insufficiently active, posing a threat to public health. Research shows steep declines in physical activity during the emerging adulthood period. Psychological and socioenvironmental factors have been shown to be independently associated with engaging in physical activity. However, few studies have examined the cross-domain interactions between psychological and socioenvironmental factors on physical activity in real time. Real-time data collection methods can be leveraged alongside traditional nomothetic methods to gain a more comprehensive understanding of how physical activity is affected by dynamic changes to one’s unique psychological and contextual state within a day.

Stroke is a global health problem that often causes physical disability and mental health issues for the survivor. While physical activity (PA) improves outcomes post stroke, it can be challenging to maintain. Barriers to maintaining PA post stroke include the setting of PA, motivation, and impairments from the stroke. There is often a desire to maintain PA after stroke, but effective interventions are currently limited.

Obesity is a serious public health issue affecting children in a progressively alarming manner; thus, nutrition education and behavior change interventions during childhood are a priority. Eating and physical activity behaviors are mainly influenced by the environment; therefore, lifestyle changes are often successful when interventions are implemented in places such as the home and school. Schools are fundamental for ensuring the development of students’ personalities, skills, abilities, and long-term behaviors.

Chronic conditions are responsible for a growing burden of morbidity, mortality, and cost globally. Despite widespread recognition of the need for preventive care, general practice remains underresourced and primarily focused on treatment. Digital health interventions (DHIs) present a scalable solution to support person-centered preventive care, but evidence regarding the feasibility and acceptability of multirisk consumer-facing interventions in general practice remains limited.

“Empathy” is widely discussed in health and care settings and is increasingly claimed as an attribute of artificial intelligence (AI) systems (eg, socially assistive robots and chatbots), but the term is used inconsistently across the literature. In research on AI in these settings, it is often unclear what authors mean by “empathic AI,” what systems do that is intended to be empathic, and how empathy is assessed. This matters because perceived empathy can shape users’ experience of AI-mediated support and their willingness to engage with these systems.

Tuberous sclerosis complex (TSC) is a rare genetic disorder caused by pathogenic variants in the TSC1 or TSC2 genes. Apart from multisystem physical manifestations, most individuals with TSC experience TSC-associated neuropsychiatric disorders (TAND). Little is known about how TAND severity changes over time and what factors may predict these changes. Preliminary data suggest the presence of differential TAND severity trajectories. Caregiver well-being may act as a mediator of TAND severity, and a well-being intervention designed for caregivers of children with developmental disabilities may improve caregiver well-being.

Exercises that involve increasing the speed of movements are beneficial for individuals with Parkinson disease (PD) and have the potential to reduce bradykinesia. High-speed bodyweight resistance training is accessible and versatile and can be performed anytime and anywhere, including at home. Furthermore, it is important to consider home exercises that enable treatment continuity and reduce barriers such as transportation difficulties and participation in physical exercise programs. However, we have not identified any studies that have conducted home-based high-speed bodyweight resistance training in individuals with PD.

therapy, a traditional Ayurvedic practice, involves the precise stimulation of (vital points that regulate [vital energy]) and alleviates musculoskeletal pain and dysfunction. While historical texts describe ’s role in pain relief, no randomized controlled trials have evaluated its efficacy and safety in lumbar disc herniation (LDH)–related radiculopathy.