Recent Articles

Adolescents require comprehensive sexual and reproductive health (SRH) education to successfully transition from puberty into adulthood. However, they often experience barriers and challenges while trying to promote their SRH or access SRH services. Such challenges are amplified among youth from migrant backgrounds, who may further be constrained by societal stigmas and cultural taboos regarding SRH. Mobile health interventions have the potential to provide culturally relevant, accessible, and evidence-based SRH educational resources; however, few SRH mobile apps in Canada are co-designed with immigrant youth or meaningfully integrate their voices and lived experiences.

The Leeds regional adult and pediatric cystic fibrosis (CF) services introduced a modified primary care electronic health care record (EHR) in 2007. This resulted in a dramatic improvement in efficiency while providing the benefits of primary care developments, including full Patient Access to their records.

The clinical and cost-related consequences of internet-based depression screening, in combination with automated feedback, have been rarely investigated. We aimed to conduct a cost-effectiveness analysis (CEA) of DISCOVER, a three-armed, observer-masked, randomized controlled trial that focused on two versions of automated feedback interventions after internet-based depression screening.

The fast rate of technology advances in the healthcare sector remain pressing a need for effective solutions that address the unique healthcare needs of sexual and gender minorities. If these innovative solutions are considered, societal challenges such as stigma, discrimination, and a lack of tailored healthcare resources experienced by the lesbian, gay, bisexual, transgender, queer, intersex, asexual, and more (LGBTQIA+) individuals could be addressed at lesser cost.

Access to rehabilitation services is a critical yet under-studied dimension of health equity. Among the 6 domains of access, health care provider availability, defined as the presence of sufficient health care providers to meet population needs, is particularly underexplored in rehabilitation professions such as physical and occupational therapy. Current data reporting often lacks the geographic granularity required for effective workforce planning.

Burn injuries are a major global health problem, particularly in low- and middle-income countries, accounting for most burn-related deaths and disabilities. In Saudi Arabia, burns remain a frequent cause of morbidity, often resulting from domestic accidents involving hot liquids, open flames, or electricity. The Jazan region, with its dense population and reliance on traditional cooking methods, is considered at higher risk. Understanding public knowledge, attitudes, and practices regarding burns and first aid is essential for guiding preventive strategies and health education efforts.

Digital short cognitive tests administered by medical assistants (MAs) in general practitioners’ (GPs) practices have great potential for the timely identification of patients with dementia, because they can lead to targeted specialist referrals or to immediate reassurance of patients regarding their perceived concerns. However, integration of this testing approach into clinical practice requires good usability for the test itself, especially for cognitively impaired older adults.


Health Recommender Systems (HRSs) are digital platforms designed to deliver personalized health information, resources, and interventions tailored to users’ specific needs. However, existing evaluations of HRSs largely focus on algorithmic performance, with limited scientific evidence supporting user-centered assessment approaches and insufficiently defined evaluation metrics. Moreover, no unified or scientifically validated framework currently exists for evaluating these systems, resulting in limited cross-study comparability and constraining regulatory and implementation decision-making.

Multiple-choice questions (MCQs) are essential in medical education for assessing knowledge and clinical reasoning. Traditional MCQ development involves expert reviews and revisions, which can be time-consuming and subject to bias. With the advent of artificial intelligence (AI), large language models (LLMs) have emerged as potential tools for evaluating multiple-choice-question accuracy and efficiency. However, direct comparisons of these AI models in orthopedic MCQ assessments are limited.

Mindfulness-based interventions (MBIs) have been shown to improve university students’ well-being. However, previous studies have not systematically explored factors that can facilitate or hinder engagement in MBIs in Saudi university students, nor how MBIs can be culturally adapted to meet their needs.
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