Suppr超能文献

门诊评估研究中的依从性:研究和样本特征作为预测因素的调查。

Compliance in Ambulatory Assessment Studies: Investigating Study and Sample Characteristics as Predictors.

机构信息

University of Koblenz-Landau, Landau, Germany.

出版信息

Assessment. 2022 Dec;29(8):1765-1776. doi: 10.1177/10731911211032718. Epub 2021 Jul 20.

Abstract

Ambulatory assessment (AA) studies are becoming more and more popular. However, it can be challenging to motivate participants to comply with study protocols. The aim of the present study was to investigate possible predictors of compliance in AA studies with diverse samples and study designs. To do so, we extracted compliance information, study characteristics, and sample characteristics from 488 previously published studies. The average compliance across the studies was rather high. The total number of measurement occasions and the number of study days were negatively related to the compliance rate. Moreover, a higher percentage of healthy controls in clinical studies was associated with a higher compliance rate. By contrast, other study characteristics (e.g., the amount of financial compensation) and sample characteristics (clinical vs. healthy sample) were not related to compliance. The findings have implications for the design of future AA studies.

摘要

门诊评估 (AA) 研究越来越受欢迎。然而,要激励参与者遵守研究方案可能具有挑战性。本研究旨在调查不同样本和研究设计的 AA 研究中可能的依从性预测因素。为此,我们从 488 项先前发表的研究中提取了依从性信息、研究特征和样本特征。研究中平均依从率相当高。总测量次数和研究天数与依从率呈负相关。此外,临床研究中健康对照组的比例较高与较高的依从率相关。相比之下,其他研究特征(例如,财务补偿金额)和样本特征(临床与健康样本)与依从性无关。这些发现对未来 AA 研究的设计具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a6c/9597150/6a0f6a358f6b/10.1177_10731911211032718-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验