评估医疗保健提供者参与基于人工智能的游戏化移动医疗干预对改善黎巴嫩弱势孕妇孕产妇健康结果的影响。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-08-12 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1574946
Shadi Saleh, Nour El Arnaout, Nadine Sabra, Asmaa El Dakdouki, Khaled El Iskandarani, Zahraa Chamseddine, Randa Hamadeh, Abed Shanaa, Mohamad Alameddine
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引用次数: 0

摘要

导言:黎巴嫩的孕产妇保健面临着重大挑战,特别是在弱势群体中,由于获得产前保健(ANC)的机会有限和紧张的医疗保健系统。虽然移动医疗干预措施改善了全球孕产妇的结局,但很少有医疗服务提供者(hcp)参与其中,也很少有人工智能(AI)和游戏化等先进工具。本研究评估了基于人工智能的游戏化移动医疗干预,即游戏化和人工智能以及孕产妇健康改善移动医疗网络(GAIN MHI)对黎巴嫩ANC利用以及孕产妇和新生儿结局的有效性。方法和材料:干预包括两组:一组针对未参与HCP的孕妇及其配偶,另一组涉及HCP。对2880名孕妇进行干预后分析,将其分为三组:对照组(n = 1315)、非HCP干预组(n = 668)和HCP干预组(n = 897)。干预组件包括人工智能驱动的、游戏化的HCP专业发展,通过GAIN MHI应用程序,每周基于whatsapp的教育信息,以及ANC访问提醒。使用逻辑回归分析了医疗保健获取(ANC就诊、补充剂摄入、超声波检查和实验室检查)和结局(足月分娩、孕产妇/新生儿并发症)的数据,以计算调整优势比(OR)。结果:HCP组显著改善了医疗保健的可及性,参加≥4次ANC就诊(OR = 1.968, 95% CI: 1.575-2.459)、完成≥2次超声检查(OR = 3.026, 95% CI: 2.301-3.981)、完成实验室检查(OR = 2.828, 95% CI: 1.894-4.221)和补充剂摄入(OR = 1.467, 95% CI: 1.221-1.762)的几率更高。HCP组足月分娩的可能性更大(OR = 1.360, 95% CI: 1.011-1.289),新生儿发病率降低了52.15% (OR = 1.521, 95% CI: 1.127-2.051)。流产率未见改善,干预组的正常分娩减少。在组间观察到显著的基线人口统计学差异,包括国籍和慢性病患病率。讨论:将卫生保健服务纳入移动医疗干预显著提高了黎巴嫩弱势群体的ANC吸收以及孕产妇和新生儿结局。这些发现强调了将数字工具与临床支持相结合的重要性,以便在资源有限的情况下解决系统性障碍并改善孕产妇健康。今后的干预措施应涉及服务实践和更广泛的健康社会决定因素,以实现可持续影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluating the impact of engaging healthcare providers in an AI-based gamified mHealth intervention for improving maternal health outcomes among disadvantaged pregnant women in Lebanon.

Evaluating the impact of engaging healthcare providers in an AI-based gamified mHealth intervention for improving maternal health outcomes among disadvantaged pregnant women in Lebanon.

Introduction: Maternal health in Lebanon faces significant challenges, particularly among disadvantaged populations, due to limited access to antenatal care (ANC) and a strained healthcare system. While mHealth interventions have improved maternal outcomes globally, few engage healthcare providers (HCPs) or incorporate advanced tools like artificial intelligence (AI) and gamification. This study evaluated the effectiveness of an AI-based, gamified mHealth intervention, Gamification and AI and mHealth Network for Maternal Health Improvement (GAIN MHI), on ANC utilization and maternal and neonatal outcomes in Lebanon.

Methods and materials: The intervention included two arms: one targeting pregnant women and their spouses without HCP engagement and another involving HCPs. A post-intervention analysis was conducted with 2,880 pregnant women divided into three groups: control (n = 1,315), non-HCP intervention (n = 668), and HCP intervention (n = 897). Intervention components included AI-driven, gamified HCP professional development via the GAIN MHI app, weekly WhatsApp-based educational messages, and ANC visit reminders. Data on healthcare access (ANC visits, supplement intake, ultrasounds, and lab tests) and outcomes (term delivery, maternal/neonatal complications) were analyzed using logistic regression to calculate adjusted odds ratios (OR).

Results: The HCP arm significantly improved healthcare access, with higher odds of attending ≥4 ANC visits (OR = 1.968, 95% CI: 1.575-2.459), completing ≥2 ultrasounds (OR = 3.026, 95% CI: 2.301-3.981), lab test completion (OR = 2.828, 95% CI: 1.894-4.221), and supplement intake (OR = 1.467, 95% CI: 1.221-1.762). Term deliveries were more likely in the HCP arm (OR = 1.360, 95% CI: 1.011-1.289), and neonatal morbidity decreased by 52.15% (OR = 1.521, 95% CI: 1.127-2.051). No improvements were seen in abortion rates, and normal deliveries decreased across intervention arms. Significant baseline demographic differences, including nationality and chronic disease prevalence, were observed between groups.

Discussion: Integrating HCPs into an mHealth intervention significantly enhanced ANC uptake and maternal and neonatal outcomes in disadvantaged populations in Lebanon. These findings underscore the importance of combining digital tools with clinical support to address systemic barriers and improve maternal health in resource-limited settings. Future interventions should address delivery practices and broader social determinants of health to achieve sustainable impacts.

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