Journal of Medical Internet Research

Post-operative anxiety following Voluntary Medical Male Circumcision (VMMC) poses a significant health challenge, where deficiencies in telemedicine access and post-surgical communication are identified as contributing factors, ultimately compromising patient recovery and adherence. While narrative-based interventions show promise in alleviating psychological distress in other clinical contexts, and large language models (LLMs) offer potential for automated follow-up, their specific applications in VMMC post-operative care remain underexplored.

Sensor-based digital health technologies (sDHTs) are increasingly used to support scientific and clinical decision-making. The digital measures (DMs) they generate offer significant potential to accelerate the drug development timeline, decrease clinical trial costs, and improve access to care. However, choosing appropriate statistical methodology when conducting analytical validation (AV) of a DM is complicated, particularly for novel DMs, for which appropriate, established reference measures (RMs) may not exist. More understanding of, and a standardized approach to, AV in these scenarios is needed.

Digital health technologies (DHTs) are transformative solutions for healthcare challenges, yet sustaining long-term adherence remains a significant barrier, limiting their effectiveness.

Type 2 diabetes mellitus (T2DM) is a chronic disease that requires management of blood glucose. According to previous studies, the Dario Digital Diabetes Solution (DDS) is a nonprescription digital health intervention with a smartphone app that has been shown to improve blood glucose control in adults with T2DM.

Body image plays a crucial role in both physical and mental health, influencing self-esteem, eating behaviors, and psychological well-being. Young adults are particularly vulnerable to body dissatisfaction, defined as negative thoughts or feelings about one’s appearance. The benefits of positive body image, characterized by body appreciation and acceptance, are widely recognized, but few digital interventions are designed to support it for young adults.

Data-driven strategies are increasingly integrated into infectious disease control (IDC), enabling professionals to act in a timely and proactive manner; however, their implementation requires alignment with professionals’ needs. Little is known about professionals’ views on data-driven IDC.

Rejection of science is a common phenomenon on social media, but little is known about the effects of videos by social media influencers who reject basic principles of science and how other users could effectively counter these false claims.

Digital mental health interventions (DMHIs) are widely used in workplaces to address common mental health conditions such as depression, anxiety, and stress. Their content and design vary widely, and meta-analyses repeatedly found substantial heterogeneity in their efficacy, but there is no systematic evaluation of the comparative effect of content on efficacy.

Digital lifestyle interventions hold promise in supporting healthy gestational weight gain (GWG) during pregnancy. However, clarity on their key design and implementation features remains limited. The prevalence of excessive GWG and its associated maternal and infant health risks makes understanding the landscape of digital intervention characteristics critical.

In the digital era, mobile internet integration into daily routines presents a paradoxical relationship with mental health outcomes. While prior cross-sectional studies report inconsistent associations between mobile internet use (MIU) and depressive symptoms, the longitudinal mechanisms involving social support remain underexplored.

Proactive integrated virtual health care resource (VHR) use is the self-initiated, coordinated use of applicable virtual systems as a team or an individual for coordinating timely delivery of high-quality health care. Based on literature and the purpose of this project, super users are defined as clinical team members identified by colleagues as proactive users of VHRs (ie, early adopters) who coordinate care delivery and champion resource use. Super users’ proactive integrated VHR use improves workflow and workload efficiency and supports provider uptake and promotion, which increases patient adoption and sustained use to improve care outcomes. Previous studies have not examined super users’ integrated use of available VHRs across the health care continuum or within service-specific clinical workflows.

In recent years, large language models (LLMs) have experienced rapid development. LLM-based virtual patients have begun to gain attention, offering new opportunities for simulations in medical education.