开发一种数字干预方法,将习惯形成技术纳入药物坚持的习惯
Sun Kyung Kim1, Hye Ri Hwang2, Kyung Seok Byun3
1Department of nursing, and Department of Biomedicine, Health & Life Convergence Sciences, BK21 Four, Mokpo National University, Jeonnam, Korea.
概括
这项研究开发了MediHabit,这是一种个性化的数字干预,旨在改善糖尿病患者的药物坚持. 专家评估显示,习惯形成和坚持是有前途的,尽管可访问性需要改进.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 慢性疾病管理 慢性疾病管理
背景情况:
- 有效的药物管理对于慢性病患者至关重要.
- 改善药物坚持需要全面的患者支持策略.
- 技术工具可以帮助形成服用药物的习惯.
研究的目的:
- 开发和验证针对糖尿病患者药物习惯形成的个性化数字干预措施.
- 评估新型数字干预的可行性和专家感知的可用性.
- 识别数字化坚持支持的挑战和有效特征.
主要方法:
- 利用医学研究理事会的框架进行干预开发.
- 根据行为变化原则和习惯形成理论设计了MediHabit干预措施.
- 对内容验证,可用性和有用性进行专家评估 (n=25),包括定性反.
主要成果:
- 梅迪哈比特干预集成了个性化会议,移动应用程序提示,以及用于药物坚持的智能分剂器.
- 专家验证证实了干预的可定制性,个性化,内容相关性和应用程序可用性.
- 确定了提高患者生成数据可访问性和更复杂的使用需求.
结论:
- 通过MediHabit的干预,可以改善糖尿病患者的服药能力.
- 需要进一步的研究来评估现实世界的有效性,长期影响和可扩展性.
- 数字干预,当个性化时,可以支持药物习惯形成和坚持.
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