Optimizing Real-Time Wellness Intervention Studies in Healthcare Shift Workers: Outcomes from a Prospective, Single-subject Design Study of a Digital Sleep Aid

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0396.pdf (2.51 MB)
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2022-01-04
Authors
Duggan, Nicole
Hasdianda, Mohammad Adrian
Jambaulikar, Guruprasad
Goldsmith, Andrew
Condella, Anna
Landry, Adaira
Boyer, Edward
Eyre, Andrew
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Sleep disorders associated with shift work impair alertness and increase risk of chronic physical and mental health disease. Though studying sleep aids in at-risk populations such as shift workers is critical to improving wellness, implementing robust studies to evaluate wellness interventions in live populations can be particularly challenging. We performed a prospective, single-subject design study in which we assessed the effect of noise-masking earbuds on sleep quality, sleepiness, and stress level in health care shift workers. Despite being gifted the technology at the end of the study, we faced poor participant accrual and study retention. Additionally, robust analysis of our intervention’s impact on post-shift alertness was underpowered due to variable participant scheduling. In order to make meaningful advances in improving wellness among such groups, studies emphasizing objective outcome measures while minimizing participant obligation to study protocols are ideal. Here, we discuss our experience studying a digital sleep intervention in a real-time setting and propose solutions for improving subject accrual, retention and methods for objective data collection in studies performed in a live shift worker population.
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Patient-facing Information Technology Implementations in Healthcare, shift work, sleep, sleep aid, healthcare worker, digital intervention
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http://hdl.handle.net/10125/79826
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9 pages
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Proceedings of the 55th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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Patient-facing Information Technology Implementations in Healthcare
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