远程纵向研究参与中的现实世界模式:瑞士多发性硬化病注册表的研究
Paola Daniore1,2,3, Chuqiao Yan4, Mina Stanikic1,5
1Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland.
PLOS digital health
|November 6, 2024
概括
识别年龄和MS类型等因素可以改善远程慢性疾病研究中的长期保留率. 早期识别参与者有助于量身定制调查,以便更好地参与和收集数据.
科学领域:
- 卫生研究方法论 卫生研究方法论
- 慢性疾病流行病学 慢性疾病流行病学
- 数字健康数字健康
背景情况:
- 远程纵向研究越来越多地用于慢性疾病研究,以提高可访问性.
- 在这些研究中,长时间保留参与者仍然是一个重大挑战.
- 识别保留的预测因素可以实现定制干预,以改善学习坚持.
研究的目的:
- 在远程纵向研究中确定与参与者长期保留相关的基线变量.
- 在远程注册表中探索参与者参与和调查完成模式.
- 为未来的远程研究设计提供信息,以提高参与者保留率.
主要方法:
- 利用来自瑞士多发性硬化病注册表 (SMSR) 数据的多变量逻辑回归和无监督集群分析.
- 评估社会人口统计学,与健康相关的和日常生活的变量与长期保留.
- 分析了与调查要求相关的后续调查完成率.
主要成果:
- 调查开始的年份,年龄,国籍,多发性硬化症类型,症状负担和独立驾驶是留守的重要预测因素.
- 确定了三个不同的参与者集群,但在保留结果中没有显著差异.
- 探索性分析表明,随着调查复杂度的增加,调查完成率下降的潜在趋势.
结论:
- 基线特征可以预测远程纵向研究中的长期保留.
- 虽然已经确定了预测因素,但其他未测量的因素可能会影响保留.
- 未来的研究应该整合参与者背景的客观措施,以优化参与和调查设计,以持续参与.
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