JMIR Human Factors

Trauma-related mortality exhibits a marked social gradient, driven by access barriers and health inequities worldwide. These barriers jeopardize progress toward Sustainable Development Goals 3 and 4.

Digital therapeutics (DTx) are evidence-based software interventions with the potential to treat health conditions. However, uptake remains limited by low public awareness and overly complex patient education materials that exceed recommended readability levels. Large language models (LLMs) may simplify such content; however, their effects on users’ understanding have not been empirically demonstrated.

There is an unmet need for reliable medication stability information to avoid suboptimal administration of intravenous medications, which may lead to reduced efficacy of therapy and potential patient harm through medication degradation or incompatibilities that cause vascular access issues.

Contact-based interventions, where individuals share their lived experiences of mental health difficulties and recovery, appear effective in reducing stigma.

Nurses are required to perform multiple tasks concurrently, which leads to multitasking situations, and they have to continuously determine which tasks should be prioritized. This is particularly challenging for novice nurses. Although IT-based systems supporting prioritization have begun to emerge, research on the types of information required when prioritization is processed computationally is scant. Despite the clear need for a supportive information system to assist nursing task prioritization, such systems are not yet sufficiently developed.

Mobile health (mHealth) apps are increasingly integrated into clinical workflows to support decision-making and adherence to best practices. Usability is a critical determinant of adoption, engagement, and long-term use.

Rising global demand for mental health services strains traditional care models, a trend evident in New Zealand, where the Integrated Primary Mental Health and Addictions (IPMHA) model was introduced to improve access to care. While the IPMHA model shows promise, significant service-delivery challenges undermine its scalability. Digital mental health tools (DMHTs) present an opportunity for digital optimization, yet their effectiveness is often limited by low practitioner adoption, a persistent implementation barrier. To ensure these tools are impactful, a user- and context-centered DMHT design approach may help mitigate practitioner adoption barriers and create solutions that can be seamlessly integrated into clinical workflows.

Scaling youth mental health services in low-resource settings requires digital infrastructure that supports not just clinical delivery but the full operational, supervisory, and engagement demands of community-based, task-shifted models. Existing platforms—whether commercial health systems, open-source medical records, or consumer-facing wellness apps—address fragments of this need, but none provide the integrated, offline-capable, and affordable architecture required for lay-provider delivery at scale.

Telehealth was essential for maintaining care continuity during the COVID-19 pandemic, leading to its rapid adoption across the United States. Telehealth has been heralded as a strategy for improving health care access and reducing health disparities, especially for community-dwelling older adults who face significant barriers to in-person care. However, data on telehealth use among socially and financially vulnerable older adults are limited, and little is known about characteristics associated with telehealth use in this population.

Artificial intelligence (AI) detection tools for intracranial hemorrhage (ICH) are increasingly integrated into radiology workflows. In real-world practice, perceived utility depends not only on diagnostic performance but also on workflow fit, false positive burden, and how clinicians interpret and act on AI outputs.

Alexithymia is a cognitive-emotional condition characterized by difficulties in identifying and expressing emotions. It lacks recognition among Chinese college students due to cultural norms that emphasize emotional restraint. Traditional interventions often rely on verbal expression, which poses challenges for students with alexithymia. Coloring-based digital art therapy provides a nonverbal, low-cognitive-load alternative that facilitates emotional expression through visual and interactive methods.

South Asian individuals face a higher burden of long-term conditions while also experiencing more inequities in health care access and outcomes. Despite the potential of remote monitoring technologies to improve management of long-term conditions, South Asian individuals are less likely to engage with digital health interventions and are underrepresented in health research, partly due to language barriers.