Recent Articles
Approximately 45% of individuals taking methadone or buprenorphine have chronic pain. These medications are commonly prescribed for chronic pain or opioid use disorder (OUD). To optimize pain management as well as reduce opioid-related symptoms (eg, craving) and risks (misuse and overdose), there is a critical need for a brief, effective, and accessible pain skills intervention for this population.
Stress is a key determinant of health outcomes and may influence work performance. Questionnaire-based assessments of stress are typically broad and retrospective. Daily stress measurements via smartphones offer more granular, real-time data but have adherence issues. Using an already established communication medium (WhatsApp) and a more conversational style assessment might improve adherence and help collect more detailed insights into (work) stress, underlying stressors, and countering energy sources.
Coupled with an aging population and lower fertility rates, there is a growing number of carer-employees (CEs), those balancing unpaid care with paid employment. Over 5.2 million Canadians are CEs juggling this dual role, often incurring negative impacts to their mental and physical health as a result. Given that unpaid care makes up 75% of care provided in Canada, the economic importance of supporting CEs extends to sustaining health care systems. Supporting and accommodating CEs in the workplace has not only been proved to be beneficial to the well-being of CEs but also to the organization through increased productivity and lower turnover rates. Despite the clear advantages of implementing carer-inclusive workplace practices (CIWPs) in the workplace, many organizations across Canada remain largely unsupportive of CE accommodations. The present study evaluated the impact of a knowledge mobilization (KMb) campaign.
Health information systems (HISs) are essential for strengthening health systems in underserved areas. However, many HISs in Africa are still in the early stages of implementation, and existing systems often suffer from imbalances in data availability. Their optimization is faced with various challenges, including limited resources, which restricts their scalability.
Parents of autistic children frequently experience elevated stress levels, depressive symptoms, and reduced well-being. Positive psychology interventions (PPIs) can strengthen resilience, and chatbots offer a scalable channel through which such skills can be delivered. However, evidence on the evaluation of large language model–guided PPI-based chatbots for this population is limited.
Health care apps are widely used to support weight loss and lifestyle modification. Many of these apps offer tailored feedback on dietary intake and nutritional behavior. However, most lack personalized features that promote physical activity (PA), which is important for weight management, metabolic health, and chronic disease prevention. To develop future personalized PA promotion functions, it is essential to understand users’ perceptions of PA.
Large language models offer new possibilities for transforming unstructured clinical text into structured datasets. However, their performance in specialized and complex documentation environments, such as neurosurgery, remains insufficiently characterized. GPT-4o is a large language model with enhanced natural language capabilities, but its accuracy in extracting structured data from neurosurgical reports has not been systematically assessed.
Mobile health (mHealth) interventions can expand access to and engagement in lifesaving treatment for pregnant and postpartum people with a substance use disorder. Yet, many people with lived experience and substance use providers alike are often excluded from mHealth intervention development, limiting opportunities to provide feedback on critical design components such as usability, cultural relevance, and compatibility with real-world practice.
