支持糖尿病饮食管理的人工智能驱动平台的可用性和初步有效性:混合方法研究研究
Kim Bul1, Nikki Holliday1, Mohammad Rashed Alam Bhuiyan2,3
1Research Institute for Health and Wellbeing, Coventry University, Coventry, United Kingdom.
JMIR human factors
|August 9, 2023
概括
这项研究发现,由人工智能驱动的营养平台被糖尿病患者及其照顾者认为是可用的,显示了管理体重和腰部尺寸的初步潜力. 建议进行进一步的研究,以确认其在改善健康指标方面的有效性.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 营养科学 营养科学
背景情况:
- 营养对于糖尿病自我管理至关重要.
- 由人工智能驱动的网络平台提供个性化的糖尿病护理解决方案.
研究的目的:
- 评估人工智能驱动的糖尿病营养管理网络平台的可用性和初步有效性.
- 评估平台对糖尿病患者及其照顾者的健康食谱识别,餐饮计划和在线杂货购物的支持.
主要方法:
- 为糖尿病或糖尿病前期的参与者及其照顾者提供了一个基于网络的平台,将AI纳入个性化的营养,为期8周.
- 参与者 (n=73) 完成了基线和干预后调查;一个子组 (n=23) 完成了后续调查和采访 (n=7).
- 评估包括基线特征,满意度,系统可用性和与糖尿病相关的健康指标.
主要成果:
- 体重 (平均差异4.5kg/m2) 和腰部大小 (平均差异3.9cm) 显著减少.
- 尽管定期使用率低 (30.4%),但大多数受访用户 (52%) 认为该平台是可访问的,用户友好和易于使用的.
- 保存食谱是最常用的功能,保存了663个食谱.
结论:
- 由人工智能驱动的营养平台在用户和他们的护理人员中展示了良好的感知可用性.
- 虽然初步结果显示了潜在的健康益处,但整合教育部分可能会提高对那些不太熟悉饮食管理糖尿病的用户的相关性.
- 建议对不同人群进行更大规模的受控研究,以验证该平台在改善糖尿病相关健康结果方面的有效性.
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