Hospital Delirium is Associated with Lower Mean Activity Counts: Secondary Analysis of a Large Cohort Study of ICU Patients

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dc.contributor.author Southerland, Lauren
dc.contributor.author Peng, Jing
dc.contributor.author Boyer, Edward
dc.contributor.author Brummel, Nathan
dc.date.accessioned 2023-12-26T18:42:26Z
dc.date.available 2023-12-26T18:42:26Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other de431427-3756-472d-b09e-2135418900bd
dc.identifier.uri https://hdl.handle.net/10125/106855
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Technology, Machine Learning, and Bias in Emergency Care
dc.subject accelerometer
dc.subject biosensor
dc.subject delirium
dc.subject hospital patients
dc.subject icu
dc.title Hospital Delirium is Associated with Lower Mean Activity Counts: Secondary Analysis of a Large Cohort Study of ICU Patients
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Hospital delirium is a dangerous condition characterized by confusion and altered consciousness. Hypoactive delirium, the most common type of delirium, results in decreased spontaneous movement and is easily missed by hospital staff. We evaluated the use of wrist accelerometers to detect an association with delirium in intensive care unit patients. We found that daily mean activity count was lower in patients with delirium, even controlling for age and mechanical ventilation status. This suggests that accelerometers could be a good biosensor to assist hospital staff with delirium detection and management.
dcterms.extent 5 pages
prism.startingpage 3904
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