Introduction: Mobile phone penetration has increased exponentially over the last decade as has its application in nearly all spheres of life including health and medical education. This study aimed at assessing the use of mobile learning technology and its challenges among final year undergraduate students in the College of Health sciences, University of Nairobi.
Methods: This was a cross-sectional descriptive study conducted among final year undergraduate students at the University of Nairobi, College of Health Sciences. Self-administered, anonymous questionnaires were issued to all final year students in their lecture rooms after obtaining informed consent. Data on demographics, mobile device ownership and mobile learning technology use and its challenges was collected. Data entry and analysis was done using SPSS(®). Chi-square and t-test were used for bivariate analysis.
Results: We had 292 respondents; 62% were medical students, 16% were nursing students, 13% were pharmacy students and 9% were dental surgery students. The majority were female (59%) and the average age was 24 years. Eighty eight percent (88%) of the respondents owned a smart device and nearly all of them used it for learning. 64% of the respondents used medical mobile applications. The main challenges were lack of a smart device, lack of technical know-how in accessing or using apps, sub-optimal internet access, cost of acquiring apps and limited device memory.
Conclusion: Mobile learning is increasingly popular among medical students and should be leveraged in promoting access and quality of medical education.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546722 | PMC |
http://dx.doi.org/10.11604/pamj.2015.21.127.6185 | DOI Listing |
Front Immunol
January 2025
Postdoctoral Workstation, Liaocheng People's Hospital, Liaocheng, China.
Background: This study aims to identify the hub genes and immune-related pathways in acute myeloid leukemia (AML) to provide new theories for immunotherapy.
Methods: We use bioinformatics methods to find and verify the hub gene. At the same time, we use the results of GSEA enrichment analysis to find immune-related mediators.
JMIR Mhealth Uhealth
January 2025
Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Background: There has been a surge in the development of apps that aim to improve health, physical activity (PA), and well-being through behavior change. These apps often focus on creating a long-term and sustainable impact on the user. Just-in-time adaptive interventions (JITAIs) that are based on passive sensing of the user's current context (eg, via smartphones and wearables) have been devised to enhance the effectiveness of these apps and foster PA.
View Article and Find Full Text PDFAlzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
View Article and Find Full Text PDFCurr Probl Diagn Radiol
January 2025
The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address:
The American Board of Radiology Core exam requires that trainees demonstrate knowledge of critical concepts across 12 domains spanning a range of imaging modalities and anatomic regions. Mobile apps have become popular components of medical and radiology education since the inception of smartphones. Numerous medical educational apps are accessible via smartphone devices and tablets, regardless of operating system, for medical training and learning purposes.
View Article and Find Full Text PDFInt Dent J
January 2025
Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China; Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address:
Objectives: Periodontal disease is a significant public health concern among older adults due to its relationship with tooth loss and systemic health disease. However, there are numerous barriers that prevent older adults from receiving routine dental care, highlighting the need for innovative screening tools at the community level. This pilot study aimed first, to evaluate the accuracy of GumAI, a new mHealth tool that uses AI and smartphones to detect gingivitis, and the user acceptance of personalized oral hygiene instructions provided through the new tool, among older adults in day-care community centers.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!