Recent Articles


This analysis of a previously published randomized controlled trial compared the cost of healthcare utilization after knee arthroplasty, demonstrating potential cost savings associated with use of self-directed rehabilitation via a smartphone-based care management platform versus traditional in-person physical therapy.

Artificial intelligence (AI) has already revolutionized the analysis of image, text, and tabular data, bringing significant advances across many medical sectors. Now, by combining with wearable inertial measurement units (IMUs), AI could transform health care again by opening new opportunities in patient care and medical research.

Wearable sensor technology, often referred to as ‘wearables’, has seen a rapid rise in consumer interest in recent years. Initially often seen as ‘activity trackers’, wearables have gradually expanded to also estimate sleep, stress and physiological recovery. In occupational settings, there is a growing interest in applying this technology to promote health and well-being, especially in professions with highly demanding working conditions such as first responders. However, it is not clear to what extent self-monitoring with wearables can positively influence stress- and well-being-related outcomes in real-life conditions, and how wearable-based interventions should be designed for high-risk professionals.

HIV continues to be a public health concern for Mexico and Latin America due to an increase in new cases, instead of a decrease, such as is observed globally. Treatment adherence is a pillar for achieving viral suppression. It prevents the spread of the disease at a community level and improves the quality and survival of PLWHIV. Thus, is important to implement some strategies to achieve sustained treatment adherence.

There has been a surge in the development of applications that aim to improve health, physical activity (PA), and well-being through behavior change. These apps often focus on creating a long-term and sustainable impact on the user. Just-in-time adaptive interventions (JITAIs) based on passive sensing of the current user context (e.g., from smartphones and wearables) have been devised to enhance the effectiveness of these apps and foster PA. JITAIs aim to provide personalized support and interventions, such as encouraging messages, in a context-aware manner. However, based on a limited range of passive sensing capabilities, getting the timing and context right for delivering well accepted and effective interventions is often challenging. Ecological Momentary Assessment (EMA) can provide personal context by directly capturing user assessments (e.g., moods and emotion). Thus, EMA might be a useful complement to passive sensing in determining when JITAIs are triggered. Yet, extensive EMA schedules need to be scrutinized as they can increase user burden.

Among people with abdominal obesity, women are more likely to develop diabetes than men. Mobile health (mHealth)–based technologies provide the flexibility and resource-saving opportunities to improve lifestyles in an individualized way. However, mHealth-based diabetes prevention programs tailored for busy mothers with abdominal obesity have not been reported yet.


Directly observed therapy (DOT) is the standard method for monitoring adherence to tuberculosis (TB) treatment. However, implementing DOT poses challenges for both patients and providers due to limited financial and human resources. Increasing evidence suggests that emerging digital adherence technologies, such as video directly observed therapy (VDOT), can serve as viable alternatives.



Depression and chronic pain are commonly comorbid, mutually reinforcing, and debilitating. Emerging approaches to mobile behavioral healthcare (mHealth) promise to improve outcomes for patients with comorbid depression and chronic pain by integrating with existing care models to bolster support and continuity between clinical visits; however, the evidence base supporting the use of mHealth to augment care for this patient population is limited.
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