用人工智能支持个性化怀孕护理 (特殊):个性化教育平台的可接受性研究
Ziwen Zhang1, Haijing Hao2, Xiaotong Zhu1
1Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Studies in health technology and informatics
|August 8, 2025
概括
产后抑郁症 (PPD) 影响了许多人,但仍未得到充分治疗. 特别项目使用人工智能进行个性化的教育,显示高用户接受度,并确定社会影响作为采用关键.
科学领域:
- 围产期心理健康问题
- 数字健康干预措施 数字健康干预措施
- 医疗保健中的人工智能
背景情况:
- 产后抑郁症 (PPD) 影响了20%的孕妇,其中一半没有得到足够的治疗.
- 现有针对PPD的教育干预措施的范围有限.
- 在可访问,个性化的PPD预防和管理资源中存在差距.
研究的目的:
- 评估基于Web的AI原型对于PPD教育的可接受性 (特殊项目).
- 确定影响采用围产期心理健康数字健康工具的因素.
- 根据用户反和以患者为中心的设计,改进SPECIAL原型.
主要方法:
- 使用了技术使用接受统一理论 (UTAUT) 框架.
- 收集了41名参与者对技术接受度的调查数据.
- 采用回归分析来确定使用该工具的行为意图的预测因素.
- 整合了患者反以进行原型个性化.
主要成果:
- 基于网络的SPECIAL原型表现出高用户接受度.
- 社会影响力 (SI) 与使用特殊工具的行为意向 (BI) 有积极的关联.
- 参与者的反为增强个性化和同行支持功能提供了见解.
结论:
- 人工智能驱动的个性化教育是预防和管理PPD的一个有希望的方法.
- 用户对数字健康工具的接受受社会因素的影响.
- 以患者为中心的设计对于开发有效和有吸引力的围产期心理健康干预措施至关重要.
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