Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, VA, USA.
Sleep Medicine Institute and Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Sleep. 2023 Oct 11;46(10). doi: 10.1093/sleep/zsad199.
To present development considerations for online sleep diary systems that result in robust, interpretable, and reliable data; furthermore, to describe data management procedures to address common data entry errors that occur despite those considerations.
The online sleep diary capture component of the Sleep Healthy Using the Internet (SHUTi) intervention has been designed to promote data integrity. Features include diary entry restrictions to limit retrospective bias, reminder prompts and data visualizations to support user engagement, and data validation checks to reduce data entry errors. Despite these features, data entry errors still occur. Data management procedures relying largely on programming syntax to minimize researcher effort and maximize reliability and replicability. Presumed data entry errors are identified where users are believed to have incorrectly selected a date or AM versus PM on the 12-hour clock. Following these corrections, diaries are identified that have unresolvable errors, like negative total sleep time.
Using the example of one of our fully-powered, U.S. national SHUTi randomized controlled trials, we demonstrate the application of these procedures: of 45,598 total submitted diaries, 487 diaries (0.01%) required modification due to date and/or AM/PM errors and 27 diaries (<0.001%) were eliminated due to unresolvable errors.
To secure the most complete and valid data from online sleep diary systems, it is critical to consider the design of the data collection system and to develop replicable processes to manage data.
Sleep Healthy Using The Internet for Older Adult Sufferers of Insomnia and Sleeplessness (SHUTiOASIS); https://clinicaltrials.gov/ct2/show/NCT03213132; ClinicalTrials.gov ID: NCT03213132.
介绍在线睡眠日记系统的开发注意事项,以生成稳健、可解释和可靠的数据;此外,还描述了数据管理程序,以解决尽管考虑了这些因素但仍会出现的常见数据输入错误。
睡眠健康互联网干预(SHUTi)的在线睡眠日记记录组件旨在促进数据完整性。其功能包括日记条目限制以限制回溯偏差、提醒提示和数据可视化以支持用户参与,以及数据验证检查以减少数据输入错误。尽管有这些功能,但数据输入错误仍然会发生。数据管理程序主要依赖编程语法来最大程度地减少研究人员的工作量,并提高可靠性和可重复性。在用户被认为错误选择日期或 12 小时制上的 AM 与 PM 的情况下,会识别出假定的数据输入错误。在进行这些更正后,会识别出那些存在无法解决的错误(如总睡眠时间为负)的日记。
以我们一项完全有能力、美国全国性的 SHUTi 随机对照试验为例,我们展示了这些程序的应用:在总共提交的 45598 份日记中,有 487 份日记(0.01%)因日期和/或 AM/PM 错误需要修改,有 27 份日记(<0.001%)因无法解决的错误而被删除。
为了从在线睡眠日记系统中获取最完整和最有效的数据,必须考虑数据收集系统的设计,并开发可复制的流程来管理数据。
睡眠健康互联网用于老年失眠和失眠症患者(SHUTiOASIS);https://clinicaltrials.gov/ct2/show/NCT03213132;临床试验注册号:NCT03213132。