在线睡眠日记:系统开发的注意事项和数据管理的建议。

IF 5.3 2区 医学 Q1 CLINICAL NEUROLOGY
Sleep Pub Date : 2023-10-11 DOI:10.1093/sleep/zsad199
Kelly M Shaffer, Katharine E Daniel, Christina Frederick, Daniel J Buysse, Charles M Morin, Lee M Ritterband
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引用次数: 0

摘要

研究目标:提出在线睡眠日记系统的开发考虑因素,以产生稳健、可解释和可靠的数据;此外,描述数据管理过程,以解决尽管考虑了这些因素,但仍会发生的常见数据输入错误。方法:设计了利用互联网健康睡眠干预的在线睡眠日记捕获组件,以提高数据的完整性。功能包括限制追溯偏见的日记输入限制、支持用户参与的提醒提示和数据可视化,以及减少数据输入错误的数据验证检查。尽管有这些功能,数据输入错误仍然会发生。数据管理程序在很大程度上依赖于编程语法,以最大限度地减少研究人员的工作量,并最大限度地提高可靠性和可复制性。假定的数据输入错误被识别为用户错误地选择了日期或12小时时钟上的上午与下午。经过这些纠正,日记中发现了无法解决的错误,比如总睡眠时间为负。结果:以我们的一项全功能美国国家SHUTi随机对照试验为例,我们展示了这些程序的应用:在45598份提交的日记中,487个日记(0.01%)由于日期和/或上午/下午的错误而需要修改,27个日记(结论:为了从在线睡眠日记系统中获得最完整和有效的数据,考虑数据收集系统的设计并开发可复制的数据管理流程至关重要。临床试验注册:老年失眠和失眠患者使用互联网进行健康睡眠(SHUTiOASIS);https://clinicaltrials.gov/ct2/show/NCT03213132;ClinicalTrials.gov ID:NCT03213132。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online sleep diaries: considerations for system development and recommendations for data management.

Study objectives: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

Clinical trial registration: Sleep Healthy Using The Internet for Older Adult Sufferers of Insomnia and Sleeplessness (SHUTiOASIS); https://clinicaltrials.gov/ct2/show/NCT03213132; ClinicalTrials.gov ID: NCT03213132.

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来源期刊
Sleep
Sleep 医学-临床神经学
CiteScore
10.10
自引率
10.70%
发文量
1134
审稿时长
3 months
期刊介绍: SLEEP® publishes findings from studies conducted at any level of analysis, including: Genes Molecules Cells Physiology Neural systems and circuits Behavior and cognition Self-report SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to: Basic and neuroscience studies of sleep and circadian mechanisms In vitro and animal models of sleep, circadian rhythms, and human disorders Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease Clinical trials, epidemiology studies, implementation, and dissemination research.
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