Background: Mental health concerns are prevalent among university students, with financial stress further compounding these issues. While cognitive-behavioral therapy (CBT) is effective for these conditions, its delivery through artificial intelligence (AI) chatbots represents a…
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Background: The association between physical activity behavior and cardiometabolic risk factors in longitudinal cohort studies has depended largely on questionnaire-based reporting. However, more studies are turning to mHealth device solutions, where physical activity (PA)…
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Background: Smartphone and tablet-based applications have been increasingly utilized in the management of acute STEMI, with the goal of enhancing care efficiency. These applications facilitate improved team coordination through a single platform, enabling secure…
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Background: Mobile Health (mHealth) interventions can transform healthcare delivery and improve population health. The evidence regarding lifestyle interventions is growing. They show promising results in both, preventing and treating non-communicable diseases (NCDs) and enhancing…
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Background: Pulmonary rehabilitation improves exercise capacity, dyspnea, quality of life, and survival in patients with chronic respiratory disease. However, center-based pulmonary rehabilitation programs remain unavailable in many healthcare facilities due to several barriers. To…
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Background: Smartphones provide a precise method to study human mobility at an unprecedented scale, allowing researchers to explore the links between mobility, HIV risk and treatment outcomes. However, leveraging smartphone technology to study HIV…
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Background: The rapid advancement of artificial intelligence (AI)-driven diagnostics and wearable health technologies is transforming healthcare delivery by enabling real-time health monitoring and early disease detection. These innovations are catalysing a shift towards personalised…
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HIV self-testing (HIVST) allows people to test for HIV outside traditional health facilities, but this presents challenges around pre-and-post-test counselling, reporting results and linking to care. Digital interventions for HIVST, a type of software…
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Background: Compliance rates for mobile health (mHealth) studies that involve intensive study designs are highly variable. Both person- and study-specific factors likely contribute to this variability. We were interested in understanding the impact that…
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Background: Community-based mHealth interventions for physical activity are being implemented in many countries; however, maintaining user engagement remains challenging. Therefore, the impact of additional short-term monetary incentives on low-engaged (LE) participants needs to be…
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