Utilizing Gamification, Artificial Intelligence, and mHealth for the Professional Development of Maternal Care Providers: Exploratory Pilot Cross-Sectional Study Assessing Providers' Satisfaction in Primary Health Care Centers in Lebanon.

IF 4.1 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR Serious Games Pub Date : 2025-09-10 DOI:10.2196/53735
Mohamad Alameddine, Nadine Sabra, Nour El Arnaout, Asmaa El Dakdouki, Mahmoud El Jaouni, Randa Hamadeh, Abed Shanaa, Shadi Saleh
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引用次数: 0

Abstract

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.

Abstract Image

利用游戏化、人工智能和移动医疗促进孕产妇保健提供者的专业发展:黎巴嫩初级卫生保健中心评估提供者满意度的探索性试点横断面研究
背景:全球孕产妇发病率和死亡率高,特别是在低收入和中低收入国家,突出了熟练卫生保健提供者(HCPs)在预防弱势群体妊娠相关并发症方面的关键作用。黎巴嫩收容了150多万难民,也不例外。医护人员面临着重大挑战,包括资源限制和有限的专业发展机会,强调了持续学习和创新教育干预的必要性。人工智能(AI)和游戏化在提高临床表现和循证实践方面显示出希望。目的:考虑到将游戏化和人工智能整合到提供孕产妇保健服务的医护人员专业发展的移动应用程序中的有效性证据有限,本试点研究旨在评估医护人员对一种名为“GAIN MHI”应用程序(游戏化、人工智能和孕产妇健康改善移动健康网络)的新型移动学习工具的满意度和可接受性,在黎巴嫩选定的初级卫生保健中心。方法:这是一项横断面研究,收集了12名参与的HCPs的数据,主要是使用GAIN MHI移动应用程序进行专业发展和学习的产科医生和助产士。调查使用了李克特量表来评估hcp的满意度、参与度以及对应用的游戏化和人工智能组件的评估。开放式问题收集了关于应用偏好和潜在改进的定性反馈。进行统计分析,以从收集的定量数据中获得见解。随后,进行了描述性分析,展示了各种参与者特征的频率和百分比,以及对所有部分的调查的回应。结果:包括助产士和医生在内的85% (n=10)的HCPs对GAIN MHI移动应用程序、用户界面和各种内容功能感到满意。参与水平稳健(64.6%,SD 6.2%),显著影响临床常规和理论知识。游戏化和AI组件获得了强烈的积极反馈,提高了学习乐趣(11/12,92%)。从定性的角度来看,用户对应用程序的多样化内容,用户友好性和持续学习的动机表示赞赏。关于扩展内容的建议包括广泛的健康主题,突出了该应用程序在各种医疗保健领域的潜在适用性。结论:卫生保健专业人员,特别是那些在服务不足地区执业的卫生保健专业人员,在获得专业发展机会方面面临挑战,这突出了利用移动技术创新教学方法的必要性。这项试点研究强调了利用基于人工智能的数字解决方案促进专业发展的潜力,其目的是通过不断学习和更新最新的循证临床指南,提高保健服务(在本例中是孕产妇保健服务)的质量。未来的研究应调查在更大范围内应用类似解决方案的可行性,以覆盖更广泛的卫生保健服务,并涵盖其他卫生主题。还应探讨这些解决办法在不同情况和资源不足情况下的适用性。
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来源期刊
JMIR Serious Games
JMIR Serious Games Medicine-Rehabilitation
CiteScore
7.30
自引率
10.00%
发文量
91
审稿时长
12 weeks
期刊介绍: JMIR Serious Games (JSG, ISSN 2291-9279) is a sister journal of the Journal of Medical Internet Research (JMIR), one of the most cited journals in health informatics (Impact Factor 2016: 5.175). JSG has a projected impact factor (2016) of 3.32. JSG is a multidisciplinary journal devoted to computer/web/mobile applications that incorporate elements of gaming to solve serious problems such as health education/promotion, teaching and education, or social change.The journal also considers commentary and research in the fields of video games violence and video games addiction.
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