JMIR mHealth and uHealth

Some people are less likely to benefit from digital health interventions than others. Culture, along with other factors, contributes to these differences Digital health interventions that do not address a population's cultural norms or concerns are likely to be less effective. One way to create culturally sensitive digital health interventions is through cultural adaptations. Yet, there is currently little evidence-based guidance on when and how to adapt digital health interventions.

Depression and diabetes are highly co-morbid and are major causes of global disabilities, particularly among individuals with low income or from racial/ethnic minority backgrounds. While digital interventions offer promise for managing these chronic conditions (such as via lifestyle modification), there is also emerging evidence that digital support may strengthen or complement existing healthcare relationships, particularly patient perceptions of healthcare communication and connection with their providers.

Parents are integral in shaping early childhood health behaviors, and mobile health (mHealth) interventions offer an accessible method of supporting them in this role. Optimizing participant engagement is key to mHealth effectiveness and impact; however, research examining personal predictors of engagement remains underexplored.

Mobile health (mHealth) interventions are increasingly used to reduce risk and promote health in real-time, real-life contexts. Engagement is critical to mHealth intervention effectiveness yet may be challenging for young people experiencing depressive symptoms.

The delivery of timely and appropriate care is crucial for survival in patients experiencing ST-elevation myocardial infarction (STEMI). Efficient communication and exchange of test results between the referring emergency medicine (EM) physician or Emergency Medical Service (EMS) paramedic and the interventional cardiologist (IC) is essential to achieving timely care. In many communities, sharing of some information crucial to decision making, such as electrocardiograms (ECG), relies on using fax or text message. The SMART AMI App was developed to streamline communication and ensure that information is shared in a secure manner. The application is simple to use, privacy-compliant, and allows for rapid ECG sharing between healthcare providers, enabling timely decision-making.

As the population ages, cognitive impairment is becoming increasingly prevalent. Mobile applications offer a scalable platform for delivering cognitive training interventions. However, their variable quality and lack of rigorous evaluation underscore the need for further research to guide optimization and ensure their effective application in improving cognitive health outcomes.

Air pollution is a major environmental cause of premature deaths, responsible for around 7 million deaths annually. In this context, personal air pollution exposure (PAPE), the product of pollutant concentration and minute ventilation V’?, is a crucial measure for understanding individual health risks. Standard exposure techniques do not address the space-time variability of air pollution, both indoor and outdoor, and the intra- and inter-subject variability in V’?.

Mental health is an essential element of life. However, existing mental health services are having difficulty using the service due to problems such as societal prejudices, counselor shortages. Mobile health(mHealth) is drawing attention as an alternative to improving mental health by compensating for the shortcomings of existing services. As a result, various mental health apps are being developed, but there is a lack of evaluation research on whether the developed apps meet users' needs.

Heart failure (HF) is a significant global health challenge, requiring innovative management strategies like eHealth. However, the success of eHealth in managing HF heavily relies on patient adherence, an area currently not sufficiently investigated despite its critical role in ensuring the effectiveness of this approach.

With a focus on postoperative dysfunctions that may occur after maxillofacial tumor resection and the difficulties faced during home rehabilitation, we developed a mobile health application based on nurse-patient cooperation. The application extends rehabilitation care from hospital to home with the help of artificial intelligence, Internet of Things, and other technologies, thus helping patients to better carry out their home functional rehabilitation and meet their health needs.

In Japan, the prevalence of anxiety and depressive symptoms within the working population have risen. This has been accentuated by the economic repercussions of the COVID-19 pandemic and the social isolation resulting from remote work setups. Mobile health (mHealth) applications, particularly those incorporating Cognitive Behavioral Therapy (CBT) features, have shown potential in addressing these symptoms. These self-guided CBT interventions hold promise in alleviating the heightened depressive and anxiety symptoms often observed among Japanese employees.

Individuals with chronic diseases commonly engage in a sedentary lifestyle, which may exacerbate poor disease progression and increase the burden of care. Digital health interventions have been broadly used in promoting healthy lifestyles in recent decades, while their effectiveness on sedentary behavior (SB) remains inconsistent and inconclusive.