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Published on: August 8, 2019
Online sleep diaries: considerations for system development and recommendations for data management.
Kelly M Shaffer1, Katharine E Daniel1, Christina Frederick1
1Center for Behavioral Health and Technology, University of Virginia School of Medicine, Charlottesville, VA, USA.
Developing online sleep diaries requires careful design and data management to ensure reliable data. Procedures effectively minimize errors, leading to high-quality sleep research data.
Area of Science:
- Digital health interventions
- Sleep science research
- Data integrity in clinical trials
Background:
- Online sleep diaries are crucial for collecting sleep data in digital health interventions.
- Ensuring data robustness and interpretability is essential for valid research outcomes.
- Common data entry errors can compromise the quality of sleep diary data.
Purpose of the Study:
- To outline development considerations for online sleep diary systems.
- To present methods for ensuring robust, interpretable, and reliable sleep data.
- To describe data management procedures for common data entry errors.
Main Methods:
- The Sleep Healthy Using the Internet (SHUTi) intervention incorporates features to promote data integrity.
- Diary entry restrictions, prompts, visualizations, and validation checks minimize errors.
- Data management procedures utilize programming syntax for efficient and reliable error correction.
Main Results:
- In a large randomized controlled trial, 0.01% of diaries required modification for date/AM/PM errors.
- Less than 0.001% of diaries were eliminated due to unresolvable errors.
- The implemented procedures effectively managed data entry errors in a real-world setting.
Conclusions:
- Careful design of online sleep diary systems is critical for data validity.
- Replicable data management processes are essential for maximizing data completeness and accuracy.
- These strategies ensure high-quality data for sleep research and digital health interventions.
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