哪些行为改变技术最适合糖尿病自我管理的移动应用程序? 随机对照试验的系统审查和元分析的结果
Rosanna Tarricone1, Francesco Petracca2, Liv Svae2
1Department of Social and Political Sciences, Bocconi University, Milan, Italy; Centre for Research on Health and Social Care Management (CERGAS), Government, Health and Not for Profit Division, SDA Bocconi School of Management, Milan, Italy.
EBioMedicine
|April 5, 2024
概括
针对糖尿病自我管理的数字行为改变干预措施 (DBCI) 显著降低了HbA1c. 诸如自我监测和药物坚持等关键特征提高了糖尿病护理中的代谢结果.
科学领域:
- 数字健康数字健康
- 代谢疾病 代谢疾病
- 行为科学 行为科学
背景情况:
- 对于糖尿病等非传染性疾病来说,自我管理至关重要.
- 移动健康应用程序 (数字行为改变干预 - DBCI) 提供了增强的糖尿病自我管理机会.
- 影响血糖控制的DBCI的特征需要进一步调查.
研究的目的:
- 系统地审查DBCI用于糖尿病自我管理.
- 识别DBCI的特征和行为变化组件.
- 探索DBCI特征与代谢结果之间的关联,特别是血糖控制.
主要方法:
- 在主要数据库 (PubMed,Embase,Cochrane,Scopus) 系统搜索随机对照试验,直到2023年11月.
- 将HbA1c的变化作为主要结果的元分析.
- 随机效应元回归分析研究/应用特征与血糖控制之间的关联.
主要成果:
- 包括57项研究,证明干预组与对照组 (p < 0.001) 中HbA1c显著降低 (-0.36个百分点).
- 包括"行为自我监测"与改善的代谢结果有关 (β = -0.22,p = 0.04).
- "服用药物"作为目标行为也与更好的血糖控制相关 (β = -0.20,p = 0.05).
结论:
- 糖尿病自我管理应用程序是改善血糖控制的有效工具.
- 具体的干预特征,如自我监测和药物坚持支持,与提高有效性有关.
- 研究结果指导开发更有影响力的DBCI用于糖尿病管理.
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