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Background: High maternal morbidity and mortality rates globally, especially in low-income and lower-middle-income countries, highlight the critical role of skilled health care providers (HCPs) in preventing pregnancy-related complications among disadvantaged populations. Lebanon, hosting over 1.5 million refugees, is no exception. HCPs face significant challenges, including resource constraints and limited professional development opportunities, underscoring the need for continuous learning and innovative educational interventions. Artificial intelligence (AI) and gamification show promise in enhancing clinical performance and evidence-based practice.
Objective: Considering the limited evidence on the effectiveness of integrating gamification and AI in a mobile app for professional development of HCPs providing maternal health services, this pilot study aims to assess the satisfaction and acceptability of HCPs with a novel mLearning tool, titled the "GAIN MHI" app (gamification, artificial intelligence, and mHealth network for maternal health improvement), at selected primary health care centers in Lebanon.
Methods: This is a cross-sectional study that presents data collected from 12 participating HCPs, primarily obstetricians and midwives who have been using the GAIN MHI mobile app for professional development and learning. The survey used included Likert scale questions to assess HCPs' satisfaction, engagement, and evaluation of the gamification and AI components of the app. Open-ended questions gathered qualitative feedback on app preferences and potential improvements. Statistical analysis was performed to derive insights from the quantitative data collected. Subsequently, a descriptive analysis was performed, presenting the frequencies and percentages of various participant characteristics, as well as responses to the survey across all sections.
Results: A total of 85% (n=10) of the HCPs, including midwives and doctors, were satisfied with the GAIN MHI mobile app, the user interface, and various content features. Engagement levels were robust (64.6%, SD 6.2%), notably impacting clinical routines and theoretical knowledge. The gamification and AI components garnered strong positive feedback, enhancing learning enjoyment (11/12, 92%). From a qualitative perspective, users expressed appreciation for the app's diverse content, user-friendliness, and motivation for continuous learning. Suggestions for expanding the content included a wide range of health topics, highlighting the app's potential applicability in various health care fields.
Conclusions: HCPs, especially those practicing in underserved areas, face challenges in accessing professional development opportunities, highlighting the need for innovative pedagogical approaches using mobile technologies. This pilot study underlines the potential of using AI-based digital solutions for professional development with the aim of improving the quality of health services-in this case, maternal health services-through continuous learning and updates on the most recent evidence-based clinical guidelines. Future research should investigate the feasibility of applying similar solutions on a larger scale to reach a wider range of HCPs and cover other health topics. The applicability of such solutions in different contexts and low-resource settings should also be explored.
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http://dx.doi.org/10.2196/53735 | DOI Listing |
JMIR Serious Games
September 2025
Global Health Institute, American University of Beirut, PO Box 11-0236, Riad El Solh, Beirut, 1107 2020, Lebanon, 961 3047578.
Background: High maternal morbidity and mortality rates globally, especially in low-income and lower-middle-income countries, highlight the critical role of skilled health care providers (HCPs) in preventing pregnancy-related complications among disadvantaged populations. Lebanon, hosting over 1.5 million refugees, is no exception.
View Article and Find Full Text PDFPLOS Glob Public Health
September 2025
Department of Pediatrics, University of Colorado, Aurora, Colorado, United States of America.
Children affected by armed conflict suffer devastating physical, emotional, and social harm. War uproots families, forcing many to flee as refugees or internally displaced persons, while others remain trapped in dangerous environments. In these crises, children face disproportionate risks-violence, exploitation, disrupted education, and collapsed healthcare systems.
View Article and Find Full Text PDFJ Palliat Med
September 2025
ATLANTES Global Observatory of Palliative Care, Instituto Cultura y Sociedad, Universidad de Navarra, Navarra, Spain.
International research projects, such as Horizon 2020 (H2020) and ERASMUS+, generate numerous scientific and educational outcomes. However, these are often disseminated in fragmented formats, limiting long-term access and impact. Language barriers further complicate the dissemination in professional communities that do not speak English.
View Article and Find Full Text PDFHealth Expect
October 2025
Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Background: Serving as peer supporters in later life has been linked to a greater sense of purpose and meaning in life. How the wisdom of older adults could be leveraged to improve the implementation of peer support work, however, has rarely been considered. We aimed to examine the perspectives of peer supporters in this study, including the challenges they encountered in practice and the strategies they developed to navigate their roles.
View Article and Find Full Text PDFPhys Eng Sci Med
September 2025
Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, 16424, Indonesia.
This study introduces a novel optimization framework for cranial three-dimensional rotational angiography (3DRA), combining the development of a brain equivalent in-house phantom with Figure of Merit (FOM) a quantitative evaluation method. The technical contribution involves the development of an in-house phantom constructed using iodine-infused epoxy and lycal resins, validated against clinical Hounsfield Units (HU). A customized head phantom was developed to simulate brain tissue and cranial vasculature for 3DRA optimization.
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