A supply chain (SC) is a network of interests, information, and materials involved in processes that produce value for customers. The implementation of blockchain technology in SC management in healthcare has had results. This review aims to summarize how blockchain technology has been used to address SC challenges in healthcare, specifically for drugs, medical devices (DMDs), and blood, organs, and tissues (BOTs). A systematic review was conducted by following the PRISMA guidelines and searching the PubMed and Proquest databases. English-language studies were included, while non-primary studies, as well as surveys, were excluded. After full-text assessment, 28 articles met the criteria for inclusion. Of these, 15 (54%) were classified as simulation studies, 12 (43%) were classified as theoretical, and only one was classified as a real case study. Most of the articles (n = 23, 82%) included the adoption of smart contracts. The findings of this systematic review indicated a significant but immature interest in the topic, with diverse ideas and methodologies, but without effective real-life applications.

Objective: This study aims at investigating how AI-based transformers can support researchers in designing and conducting an epidemiological study. To accomplish this, we used ChatGPT to reformulate the STROBE recommendations into a list of questions to be answered by the transformer itself. We then qualitatively evaluated the coherence and relevance of the transformer’s outputs. Study design: Descriptive study. Methods: We first chose a study to be used as a basis for the simulation. We then used ChatGPT to transform each STROBE checklist’s item into specific prompts. Each answer to the respective prompt was evaluated by independent researchers in terms of coherence and relevance. Results: The mean scores assigned to each prompt were heterogeneous. On average, for the coherence domain, the overall mean score was 3.6 out of 5.0, and for relevance it was 3.3 out of 5.0. The lowest scores were assigned to items belonging to the Methods section of the checklist. Conclusions: ChatGPT can be considered as a valuable support for researchers in conducting an epidemiological study, following internationally recognized guidelines and standards. It is crucial for the users to have knowledge on the subject and a critical mindset when evaluating the outputs. The potential benefits of AI in scientific research and publishing are undeniable, but it is crucial to address the risks, and the ethical and legal consequences associated with its use.

Understanding gender-based disparities in healthcare utilization is crucial for informing equitable health policy. However, cross-national evidence across multiple service domains in Europe remains limited. To examine gender differences in healthcare utilization across 27 European countries and explore variability across service types. We analyzed data from 257,388 adults in the third wave of the European Health Interview Survey (2019-2020). Twelve healthcare utilization indicators were evaluated, including hospital admissions, outpatient care, mental health services, and medication use. Gender disparities were estimated using regression models with inverse probability weighting based on random forest propensity scores. Women had significantly higher odds of using nearly all outpatient and preventive services, including general practitioners, specialists, dental care, physiotherapy, psychotherapy, and home care. They also reported higher use of both prescribed and non-prescribed medications. No significant gender differences were observed in hospitalization rates. Sensitivity analyses adjusting for health needs confirmed these findings. Considerable heterogeneity emerged across countries and service domains: Latvia, Lithuania, and Poland showed the largest disparities (e.g., ORs 1.52-1.75 for recent specialist visits), while Denmark, the Netherlands, and Ireland displayed relatively small overall gaps but large differences for specific services, such as psychotherapy and home care. Women consistently utilize more non-acute healthcare services than men, while comparable hospitalization rates suggest differences in disease severity or care-seeking behaviors. The magnitude of these disparities varies considerably across European countries, highlighting the need for context-sensitive policies to address gender inequities in healthcare utilization.

The Mediterranean Diet (MD) has been linked to numerous health benefits. This umbrella review aims to synthesize evidence from systematic reviews on the MD’s impact on children and adolescents aged 6 to 19 years. Following Joanna Briggs Institute guidelines, we included 11 systematic reviews focusing on the MD’s effects on health outcomes, such as asthma, anthropometric measures, physical fitness, and inflammatory markers. The results indicate a protective role of the MD against childhood asthma due to its antioxidant-rich components. However, evidence for its impact on allergic conditions like rhinitis and eczema is inconclusive. Findings regarding anthropometric outcomes, particularly BMI, are limited and inconsistent. A positive correlation was observed between MD adherence and increased physical activity, improved physical fitness, quality of life, and reduced sedentary behavior. Additionally, the MD showed an inverse relationship with pro-inflammatory biomarkers, suggesting anti-inflammatory benefits. The inconsistency in BMI findings and the potential anti-inflammatory properties of the MD warrant further longitudinal research. Future studies should explore the MD’s impact on cognitive functions, academic performance, and mental health in this age group, highlighting the significance of establishing healthy eating habits early in life.