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Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model

Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model

Ethical clearance was provided by the University of North Carolina at Chapel Hill institutional review board (#20‐1810), the Malawi National Health Sciences Research Committee (#20/06/2566) and the Baylor College of Medicine institutional review board (H-48800). Interviewers obtained written informed consent from all participants before starting the IDIs, reminding participants that their participation was voluntary and could be withdrawn at any time.

Tiwonge E Mbeya-Munkhondya, Caroline J Meek, Mtisunge Mphande, Tapiwa A Tembo, Mike J Chitani, Milenka Jean-Baptiste, Caroline Kumbuyo, Dhrutika Vansia, Katherine R Simon, Sarah E Rutstein, Victor Mwapasa, Vivian Go, Maria H Kim, Nora E Rosenberg

JMIR Form Res 2025;9:e62741

The Role of AI in Nursing Education and Practice: Umbrella Review

The Role of AI in Nursing Education and Practice: Umbrella Review

Components and description S (sample): nursing professionals and nursing students PI (phenomenon of interest): integration of artificial intelligence (AI) into nursing practice and education, focusing on ethical and social implications D (design): systematic reviews, scoping reviews, rapid reviews, narrative reviews, literature reviews, and meta-analyses E (evaluation): ethical and social implications, barriers and facilitators to AI adoption, and the role of AI in nursing education R (research types): all research

Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Fuad H Abuadas, Joel Somerville

J Med Internet Res 2025;27:e69881