了解心理健康临床医师对使用被动患者生成的健康数据进行临床决策的看法和担忧:定性半结构面试研究
Jodie Nghiem1, Daniel A Adler2, Deborah Estrin2
1Medical College, Weill Cornell Medicine, New York, NY, United States.
JMIR formative research
|August 10, 2023
概括
心理健康临床医生发现被动患者生成的健康数据 (PGHD) 很有用,但需要明确的指导方针来整合到护理中. 需要证据来定义在临床决策中被动PGHD的最佳使用,时间和隐私保护.
科学领域:
- 数字健康数字健康
- 心理健康护理 心理健康护理
- 医疗信息学 医疗信息学
背景情况:
- 数字健康工具可以被动收集患者生成的健康数据 (PGHD).
- 现有的指导方针主要针对主动PGHD,对被动PGHD使用的清晰度较低.
- 被动PGHD在心理健康方面为背景患者测量提供了潜力.
研究的目的:
- 探索心理健康临床医生对被动PGHD的看法和担忧.
- 了解在临床决策中利用被动PGHD的当前经验和未来愿景.
主要方法:
- 定性研究,涉及与门诊心理健康临床医生进行半结构面试.
- 采访被去识别,转录和编码以确定主题.
主要成果:
- 目前被动PGHD是以患者为导向的,只有当患者提交数据时才被考虑.
- 临床医生将被动数据视为客观行为信息,与主观主动数据形成对比.
- 有关实时数据使用,患者隐私以及为临床行动及时提供数据的需求存在担忧.
- 参与者强调了改进数据共享同意以提高透明度的重要性.
结论:
- 需要进一步的证据来指导将被动PGHD纳入临床决策.
- 准则应澄清与主动PGHD一起使用被动数据,并解决隐私问题.
- 开发一个强大的证据基础将支持临床医生和患者有效采用被动PGHD工具.
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