Background: Malaria continues to pose a major public health threat globally, affecting millions and causing numerous fatalities annually. This research consolidates findings on private sector healthcare involvement in combating and preventing malaria across different nations. Methodology: A systematic review was conducted following PRISMA guidelines, extracting relevant studies from PubMed, ScienceDirect, Cochrane, and Semantic Scholar databases. Selection criteria included observational or interventional research examining private healthcare's role in malaria prevention, published in English between 2015-2024. Analysis was supported by NotebookLM. Results: The review identified 24 qualifying studies. Private healthcare providers, including clinics and pharmacies, contribute to malaria management through diagnosis, rapid testing, and treatment advice globally. Though these entities possess some malaria-related knowledge, it remains incomplete. Case reporting and surveillance participation exists among private providers but remains restricted to few facilities. Conclusions: Enhanced frameworks and regulations are essential to strengthen public-private partnerships and expand private sector engagement in malaria diagnosis, treatment, and advisory services. Implementation strategies should be tailored to each country's specific context and malaria epidemiology.

Background: People living with dementia (PLWD) may experience substantial cognitive decline as the disease progresses, which interferes with their daily activities. This study aimed to assess physical activity (PA) performance and care dependency (CD) and identify factors related to PA among PLWD. Methods: We conducted a cross-sectional study in 63 PLWD from National Geriatrics Hospital, Vietnam, from 2021 to 2023. We used the Mini Nutritional Assessment (MNA), International Physical Activity Questionnaire (IPAQ), and Care Dependency Scale (CDS) to assess the nutritional status and the levels of PA and CD, respectively. We used the Mann–Whitney test to compare the differences in the PA types and CD levels between dementia levels and a multivariable logistics regression model to analyze factors related to PA. Results: More than half of the subjects had mild dementia. In total, 35% of the PLWD had a low level of PA, and 46.3% were completely independent of care. The mean score in each CDS aspect of the subjects with moderate/severe dementia was statistically significantly lower than that of those with mild dementia (p ≤ 0.05). Lower dependency (OR = 0.9; 95% CI = 0.88–0.99) and malnutrition (OR = 15.4; 95% CI = 1.18–20.21) were associated with insufficient PA in the PLWD. Conclusion: Formal caregivers and healthcare workers should encourage PLWD to perform physical activities at any level and personalize the development of tailored and nutritional care strategies for each individual.

Background: The advancement of artificial intelligence (AI) has unveiled numerous opportunities in medical education, with ChatGPT emerging as a prevalent learning support tool. However, the adoption rate and the determinants associated with the integration of ChatGPT among medical students remain under-researched. Methods: A cross-sectional study was conducted on 335 medical students at Hanoi Medical University. Data was collected using an online questionnaire in KoboToolbox, employing a convenience sampling method. The data was analyzed using Stata 17.0, employing descriptive statistics and multivariate logistic regression to examine the relationship between demographics, knowledge, and attitudes toward ChatGPT. Results: The results showed that 73.4% of students had used ChatGPT, with 68.7% using it to complete assignments and 61% believing that the tool helped save time and effort. However, only 17.9% were aware of ChatGPT's limitations. Positive knowledge and attitudes towards ChatGPT increased the likelihood of using the tool. Students with a good academic performance level were 3.25 times more likely to use ChatGPT than excellent students (OR=3.25; p=0.013), and the Dentistry department had the highest usage rate, 4.53 times higher than the General Medicine department. Conclusion: Medical students use GPT chat at a comparatively high rate. Integrating this tool into medical education requires specific guidelines to maximize benefits while ensuring accuracy and ethics.