基于智能手机应用程序的调查部署模式和纵向响应率:随机对照试验
Yuankai Zhang1, Jian Rong2, Xuzhi Wang1
1Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States.
Journal of medical Internet research
|October 10, 2025
概括
为了对抗纵向研究中的调查疲劳,提供更小的调查批次更频繁 (每两周一次) 与较少频繁,更大的批次 (每4周一次) 相比,提高了参与者响应率. 这种数字健康战略可以随着时间的推移提高数据质量.
科学领域:
- 数字健康数字健康
- 纵向研究 纵向研究
- 调查方法 调查方法
背景情况:
- 调查疲劳是纵向研究中的一个重大挑战,特别是那些使用智能手机应用程序进行数据收集的研究.
- 需要基于证据的策略,以便在延长的研究期间有效地保持参与者的参与度和响应率.
研究的目的:
- 评估更频繁的智能手机管理的调查部署策略,使用较小的调查批次,对参与者响应率的影响.
- 在纵向研究环境中,评估这种策略在长时间内的有效性.
主要方法:
- 一项随机对照试验 (NCT04752657) 在弗雷明汉心脏研究队列中进行 (2021年6月至2023年12月).
- 参与者被随机分配,每4周接受一次完整的调查组 (对照组) 或每两周接受一半的调查组 (实验组),在两只手臂每4周完成一次完整的调查组.
- 主要结果是四个评估期中每个参与者返回的调查的纵向比例,使用混合效应回归模型进行分析.
主要成果:
- 实验组与对照组相比,随着时间的推移,实验组的持续反应率较高 (P=.003对相互作用).
- 虽然初始响应率相似 (75%vs76%),但实验组在随后的时期呈现出逐渐更高的回报率 (例如,在24-32周的58%vs50%).
- 没有反应的参与者的比例在对照组增加了3%至38%,而实验组的比例在1%至28%.
结论:
- 每两周部署一半的调查组,与每4周一次的全组相比,显著提高了持续的纵向调查响应率.
- 这一战略在减轻调查疲劳和提高数字健康研究中的数据质量方面具有前景.
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