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利用游戏化、人工智能和移动健康促进孕产妇护理提供者的专业发展:在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

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.

作者信息

Alameddine Mohamad, Sabra Nadine, El Arnaout Nour, El Dakdouki Asmaa, El Jaouni Mahmoud, Hamadeh Randa, Shanaa Abed, Saleh Shadi

机构信息

College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.

Global Health Institute, American University of Beirut, PO Box 11-0236, Riad El Solh, Beirut, 1107 2020, Lebanon, 961 3047578.

出版信息

JMIR Serious Games. 2025 Sep 10;13:e53735. doi: 10.2196/53735.

DOI:10.2196/53735
PMID:40929508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12422396/
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.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0531/12422396/37f32983ceb2/games-v13-e53735-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0531/12422396/37f32983ceb2/games-v13-e53735-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0531/12422396/37f32983ceb2/games-v13-e53735-g001.jpg
摘要

背景

全球孕产妇发病率和死亡率居高不下,尤其是在低收入和中低收入国家,这凸显了技术熟练的医疗保健提供者(HCPs)在预防弱势群体妊娠相关并发症方面的关键作用。黎巴嫩接纳了超过150万难民,情况也不例外。HCPs面临重大挑战,包括资源限制和有限的专业发展机会,这突出了持续学习和创新教育干预措施的必要性。人工智能(AI)和游戏化在提高临床绩效和循证实践方面显示出前景。

目的

鉴于将游戏化和AI整合到移动应用程序中以促进提供孕产妇保健服务的HCPs专业发展的有效性证据有限,本试点研究旨在评估黎巴嫩选定的初级卫生保健中心的HCPs对一款名为“GAIN MHI”应用程序(用于改善孕产妇健康的游戏化、人工智能和移动健康网络)这一新型移动学习工具的满意度和可接受性。

方法

这是一项横断面研究,呈现了从12名参与的HCPs收集的数据,这些HCPs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。所使用的调查包括李克特量表问题,以评估HCPs对该应用程序的游戏化和AI组件的满意度、参与度和评价。开放式问题收集了关于应用程序偏好及潜在改进的定性反馈。进行统计分析以从收集到的定量数据中得出见解。随后进行描述性分析,呈现各种参与者特征的频率和百分比,以及所有部分的调查回复。

结果

包括助产士和医生在内,共有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。参与度很高(64.6%,标准差6.2%),尤其对临床常规和理论知识产生了影响。游戏化和AI组件获得了强烈的积极反馈,增强了学习乐趣(11/12,92%)。从定性角度来看,用户对该应用程序多样的内容、用户友好性和持续学习的动力表示赞赏。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个医疗保健领域的潜在适用性。

结论

HCPs,尤其是在服务不足地区执业的HCPs,在获得专业发展机会方面面临挑战这突出了使用移动技术的创新教学方法的必要性。本试点研究强调了使用基于AI的数字解决方案促进专业发展的潜力,目的是通过持续学习和更新最新的循证临床指南来提高卫生服务质量——在本案例中是孕产妇保健服务质量。未来的研究应调查在更大规模上应用类似解决方案以覆盖更广泛的HCPs并涵盖其他健康主题 的可行性。还应探索此类解决方案在不同背景和低资源环境中的适用性。

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