使用行为变化轮和基于人的方法,为上腺功能不充分的患者开发数字自我管理干预:支持AI研究协议
Sofia Llahana1,2, Kathleen Mulligan1,3, Shashivadan P Hirani1
1School of Health & Psychological Sciences, City, University of London, London, United Kingdom.
Frontiers in endocrinology
|July 17, 2023
概括
患上上腺功能衰竭 (AI) 的患者需要更好的自我管理支持. 这项研究开发了一种基于证据的数字干预措施,以改善AI患者的生活质量并减少住院治疗.
科学领域:
- 内分泌学 在内分泌学.
- 数字健康数字健康
- 行为科学 行为科学
背景情况:
- 上腺功能衰竭 (AI) 需要终身的葡萄糖皮质激素替代和警的自我管理,包括遵守药物治疗和"病假规则".
- 患有AI的患者经历了生活质量受损和高死亡率,由于可预防的上腺危机,经常住院治疗.
- 目前的患者教育策略不足以促进自我管理行为和减少与危机相关的住院治疗.
研究的目的:
- 了解AI患者自我管理的障碍和促进因素.
- 开发一个基于证据的数字行为改变干预 (DBCI),以支持AI自我管理.
- 改善AI患者的健康结果和生活质量.
主要方法:
- 根据MRC框架开发复杂干预的两阶段研究.
- 阶段1:对英国AI患者进行连续的定性 (焦点组) 和定量 (调查) 混合方法研究.
- 第二阶段:"支持人工智能"网站DBCI的开发,根据第一阶段的发现,使用行为变化轮 (BCW),理论领域框架 (TDF) 和基于人的方法,使用名义组技术来选择行为变化技术 (BCT) 和代可用性测试.
主要成果:
- 该研究旨在产生基于证据的数字干预.
- 这项名为"支持人工智能"的干预将以全面的定性和定量数据为基础,以了解患者的自我管理.
- 选择适当的BCT将以专家的共识和用户反为指导.
结论:
- 基于理论和证据的数字行为改变干预将被开发用于AI自我管理.
- 这项干预预计将减少住院治疗和改善患者的生活质量.
- 开发的干预措施将在未来的可行性随机试验中进行测试.
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