JMIR Human Factors

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder affecting 3%-7% of children globally. Alternative treatments are needed to address the limitations of traditional pharmacotherapy and nonpharmacotherapy, such as drug side effects and substantial time and financial costs. In this light, digital therapeutics for childhood ADHD are emerging as an effective alternative, with the benefits of potentially being free from serious side effects associated with software-based treatments and facilitating easy home use without constraints on time or space.

With the rising global adoption of telemedicine, there is a crucial need to address inefficiencies and challenges in current service systems. This case study focuses on enhancing the telemedicine service system of a Traditional Chinese Medicine (TCM) clinic.

Mass displacement is a grand public health challenge. Refugees and immigrants experience a disparate hypertension (HTN) burden and disparities in self-management. Successful HTN self-management is key for improving outcomes, but research on its feasibility in refugee and immigrant healthcare settings is limited.

Endometriosis is a chronic disease that affects 1 in 10 women worldwide. The disease affects patients’ daily life at physical, psychological, and social levels. In recent years, the management of this disease has evolved, thanks in particular to the emergence of digital technologies and associated interventions. However, despite their growing use, there seems to be no systematic review of their development, design, and efficacy.

Mobile apps are a promising way to improve healthy lifestyle behavior among people with infertility. However, sufficient engagement with mobile health apps is crucial to influence health outcomes, and identifying features to create more effective interventions is urgently needed.

We co-designed a novel multicomponent Care Assistant and support Program for people after Stroke or transient ischaemic attack (CAPS) to augment secondary prevention of stroke.

As digital technology advances, health-related data can be scientifically analyzed to predict illnesses. The analysis of international data collected during health examinations and health status monitoring, along with data collected during medical care delivery, can contribute to Precision Medicine and the public good. Understanding citizens’ attitudes and predictors of digital health data sharing is critical in promoting data-driven research.

Collection of dietary behavior data is crucial in childbearing populations. In addition to observed inequities in perinatal dietary intake and quality, burdensome assessment methods used (e.g., 24-hour dietary recall) may limit research participation for some groups. Ecological momentary assessment (EMA) is associated with reduced recall bias and participant convenience, but there is a dearth of studies with diverse cohorts.

Patients with inflammatory rheumatic diseases often experience drug-related problems (DRPs). As these can result in negative health consequences, DRPs should be identified and solved in a timely manner. Text messaging between patients and pharmacists at the initiative of the patient has the potential to deliver support with DRPs more continuously, increase accessibility and efficiency, and enhance patient-involvement in the process of identifying and solving DRPs.

Adolescence is the period with the highest incidence of mental disorders, with approximately one-third, half, and two-thirds of cases emerging by ages 14, 18, and 25, respectively. Proactive interventions are essential, and digital phenotyping has emerged as a promising approach for timely detection and management. However, passive digital phenotyping is limited to sensor-detectable behaviors, while active phenotyping is often confined to clinical scales, missing the opportunity to capture users' subjective perspectives and emotional nuances. Furthermore, the potential therapeutic effect of the data collection process itself on emotional disorder management remains underexplored.

Patients with long-term conditions, such as stroke, require regular follow-up visits to health care professionals to identify changes in symptoms. The digital previsit tool Strokehälsa (Strokehealth) has been designed to encourage individuals with stroke to reflect on stroke-related health concerns before a follow-up visit, thereby potentially enhancing their engagement during the visit. Strokehealth has previously been evaluated using a patient satisfaction survey (part 1), but there remains a need to further explore patients’ perceptions and needs to optimize its functionality before broader implementation.

In-hospital fall prevention is a complex phenomenon most efficiently addressed via a wide range of multifactorial interventions. Technology may contribute, but research in this field has so far mainly focused on detecting falls. As a result, new knowledge from a system perspective is needed regarding when and how new technologies may support fall prevention among patients who have been hospitalized.