BACKGROUND: Prior to now, sleep has been particularly difficult to accurately measure in a home setting. The acceptability of wearable devices that allow for the collection of not only sleep data, but heart rate, activity, and other variables allows for the expansion of research from the lab into a patient’s daily life.
METHODS: Data from three studies was evaluated to determine acceptability of Fitbit wearable devices as well as the utility of sleep data the devices could collect to characterize sleep disturbances. The populations included two post-surgical groups experiencing acute pain (orthopedic surgery, n = 7; cardiac surgery n = 14) and one group of children and adolescents receiving intensive treatment for chronic pain (n = 14).
RESULTS: Both the composition of the studies and the Fitbit devices were well tolerated by all three groups, as measured by an acceptability survey. For utility, significant differences were found in step counts, number of nightly awakenings, and pain ratings. Correlations were also found between pain and sleepiness, step counts, and sleep efficiency.
CONCLUSION: The future is bright for the integration of wearable devices and other smart technology into clinical settings. For the populations studied here, this could mean fewer hospital visits and increased quality of life by being able to provide feedback to providers via validated, non-invasive methods.
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/48364 |
| Date | 08 March 2024 |
| Creators | Pokstis, Kimberly |
| Contributors | Symes, Karen, Kossowsky, Joe |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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