用定性方法探索参与者对数字健康干预的经验:研究人员指南
Kristin Harrison Ginsberg1, Katie Babbott1, Anna Serlachius1
1Department of Psychological Medicine, University of Auckland, Auckland, New Zealand.
Journal of medical Internet research
|November 28, 2024
概括
定性研究方法对于理解数字健康干预的用户体验至关重要. 这项研究为选择适当的定性方法提供了指导,以确保有效地探索患者与数字健康工具的接触.
科学领域:
- 数字健康数字健康
- 定性研究是指质量研究.
- 医疗信息学 医疗信息学
背景情况:
- 数字健康干预越来越多地用于改善医疗保健提供和患者结果.
- 定性研究对于理解这些数字工具的用户体验至关重要.
- 数字健康研究中的定性方法的变化和错误应用是常见的挑战.
研究的目的:
- 确定最适合的定性方法,以探索数字健康干预的用户体验.
- 为研究人员提供一个框架来选择适当的定性方法.
- 解决数字健康研究中常常错误应用定性方法的问题.
主要方法:
- 对与数字健康相关的定性研究方法的审查和综合.
- 确定最适合探索用户使用数字工具体验的方法.
- 制定决策框架 (5个问题) 用于方法选择.
主要成果:
- 某些定性方法比其他方法更适合评估数字健康干预措施.
- 对方法选择的结构化方法可以提高这个领域的定性研究的严谨性和有效性.
- 提出的问题引导研究人员寻找符合其具体研究目标的方法.
结论:
- 适当选择定性方法对于对数字健康的用户体验进行强有力的理解至关重要.
- 实施指导性选择过程提高了数字健康干预研究的质量.
- 这项工作提供了切实可行的工具,以改善质量研究在数字健康中的应用.
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