结合理论和可用性测试,为优化和实施在线初级保健抑郁症管理工具提供信息
Nicola McCleary1,2,3,4, Justin Presseau5,6,7, Isabelle Perkins5
1Centre for Implementation Research, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada. nicola.mccleary@sickkids.ca.
BMC medical informatics and decision making
|January 15, 2025
概括
这项研究将可用性测试与行为改变框架相结合,以改善初级保健专业人员的太华抑郁算法. 结果确定了特定的可用性问题和常规使用的障碍,为优化策略提供了信息.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 数字健康实施方案
- 初级保健创新初级保健的创新
背景情况:
- 太华抑郁算法是一个基于证据的在线工具,用于初级设置中的成人抑郁症护理.
- 成功采用此类工具需要理解和解决提供者的行为变化.
- 评估障碍的现有方法可能无法完全捕捉特定工具的可用性挑战.
研究的目的:
- 将可用性测试与行为变化理论相结合,以确定影响太华抑郁算法的问题.
- 在算法中确定特定的可用性问题.
- 识别算法的常规临床使用障碍和促进因素.
主要方法:
- 与加拿大太华的初级保健专业人员进行了半结构化采访.
- 在患者场景步行过程中使用"大声思考"方法评估了算法可用性.
- 理论领域框架为评估常规使用障碍和支持者提供了信息,并通过专题分析进行了分析.
主要成果:
- 可用性问题包括优化内容/流程,增强组件,交互性,清晰度和导航.
- 常规使用的障碍/支持者以算法熟悉,角色对齐,整合,上下文和患者沟通问题为中心.
- 来自七个实践的20名专业人士参加了会议,提供了丰富的定性数据.
结论:
- 太华抑郁算法被认为是有用的,但存在特定的可用性和实施挑战.
- 将基于理论的评估与可用性测试相结合,为工具优化提供了更深入的见解.
- 提供了一份方法指南,用于在其他临床工具中复制这种综合方法.
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