TY - JOUR
T1 - A non-pharmacological multi-modal therapy to improve sleep and cognition and reduce mild cognitive impairment risk
T2 - Design and methodology of a randomized clinical trial
AU - Emert, Sarah E.
AU - Taylor, Daniel J.
AU - Gartenberg, Daniel
AU - Schade, Margeaux M.
AU - Roberts, Daniel M.
AU - Nagy, Samantha M.
AU - Russell, Michael
AU - Huskey, Alisa
AU - Mueller, Melissa
AU - Gamaldo, Alyssa
AU - Buxton, Orfeu M.
N1 - Funding Information:
This research is being supported by funding from the National Institute on Aging ( R44AG056250-03 , 2020 and R44AG056250-04 , 2021). Authors Roberts, D., Schade, M., Gamaldo, A., Russell, M., Buxton, O., Emert, S., Taylor, D., Nagy, S., and Huskey, A. are partially funded by NIH /NIA ( R44-AG056250 ).
Funding Information:
Buxton: Within the current work, Orfeu M. Buxton received subcontract grants to Penn State from Proactive Life LLC (formerly Mobile Sleep Technologies) doing business as SleepSpace (NSF/STTR#1622766, NIH/NIA SBIR R43-AG056250, R44-AG056250). Outside of the current work, received honoraria/travel support for lectures from Boston University, Boston College, Tufts School of Dental Medicine, New York University, University of Miami, University of Utah, University of Arizona, Eric H. Angle Society for Orthodontists, Allstate, consulting for Sleep Number, and receives an honorarium for his role as the Editor-in-Chief of Sleep Health.Emert, Taylor, Nagy, and Huskey are partially funded by NIH/NIA (R44-AG056250), via subcontract to University of Arizona. They declare that they have no other known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.This research is being supported by funding from the National Institute on Aging (R44AG056250-03, 2020 and R44AG056250-04, 2021). Authors Roberts, D. Schade, M. Gamaldo, A. Russell, M. Buxton, O. Emert, S. Taylor, D. Nagy, S. and Huskey, A. are partially funded by NIH/NIA (R44-AG056250). The authors would also like to acknowledge The Pennsylvania State University Clinical and Translational Science Institute (CTSI; UL1 TR002014 from the National Center for Advancing Translational Sciences) for their assistance with biostatics and randomization procedures (Vernon Chinchilli), phlebotomy in the Clinical Research Center including occasionally traveling to participants homes, and the use of M2C2 mobile tests (National Institute on Aging 1U2CAG060408-01, 2018; PI: Sliwinski).
Publisher Copyright:
© 2023
PY - 2023/9
Y1 - 2023/9
N2 - Aging populations are at increased risk of sleep deficiencies (e.g., insomnia) that are associated with a variety of chronic health risks, including Alzheimer's disease and related dementias (ADRD). Insomnia medications carry additional risk, including increased drowsiness and falls, as well as polypharmacy risks. The recommended first-line treatment for insomnia is cognitive behavioral therapy for insomnia (CBTi), but access is limited. Telehealth is one way to increase access, particularly for older adults, but to date telehealth has been typically limited to simple videoconferencing portals. While these portals have been shown to be non-inferior to in-person treatment, it is plausible that telehealth could be significantly improved. This work describes a protocol designed to evaluate whether a clinician-patient dashboard inclusive of several user-friendly features (e.g., patterns of sleep data from ambulatory devices, guided relaxation resources, and reminders to complete in-home CBTi practice) could improve CBTi outcomes for middle- to older-aged adults (N = 100). Participants were randomly assigned to one of three telehealth interventions delivered through 6-weekly sessions: (1) CBTi augmented with a clinician-patient dashboard, smartphone application, and integrated smart devices; (2) standard CBTi (i.e., active comparator); or (3) sleep hygiene education (i.e., active control). All participants were assessed at screening, pre-study evaluation, baseline, throughout treatment, and at 1-week post-treatment. The primary outcome is the Insomnia Severity Index. Secondary and exploratory outcomes span sleep diary, actiwatch and Apple watch assessed sleep parameters (e.g., efficiency, duration, timing, variability), psychosocial correlates (e.g., fatigue, depression, stress), cognitive performance, treatment adherence, and neurodegenerative and systemic inflammatory biomarkers.
AB - Aging populations are at increased risk of sleep deficiencies (e.g., insomnia) that are associated with a variety of chronic health risks, including Alzheimer's disease and related dementias (ADRD). Insomnia medications carry additional risk, including increased drowsiness and falls, as well as polypharmacy risks. The recommended first-line treatment for insomnia is cognitive behavioral therapy for insomnia (CBTi), but access is limited. Telehealth is one way to increase access, particularly for older adults, but to date telehealth has been typically limited to simple videoconferencing portals. While these portals have been shown to be non-inferior to in-person treatment, it is plausible that telehealth could be significantly improved. This work describes a protocol designed to evaluate whether a clinician-patient dashboard inclusive of several user-friendly features (e.g., patterns of sleep data from ambulatory devices, guided relaxation resources, and reminders to complete in-home CBTi practice) could improve CBTi outcomes for middle- to older-aged adults (N = 100). Participants were randomly assigned to one of three telehealth interventions delivered through 6-weekly sessions: (1) CBTi augmented with a clinician-patient dashboard, smartphone application, and integrated smart devices; (2) standard CBTi (i.e., active comparator); or (3) sleep hygiene education (i.e., active control). All participants were assessed at screening, pre-study evaluation, baseline, throughout treatment, and at 1-week post-treatment. The primary outcome is the Insomnia Severity Index. Secondary and exploratory outcomes span sleep diary, actiwatch and Apple watch assessed sleep parameters (e.g., efficiency, duration, timing, variability), psychosocial correlates (e.g., fatigue, depression, stress), cognitive performance, treatment adherence, and neurodegenerative and systemic inflammatory biomarkers.
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U2 - 10.1016/j.cct.2023.107275
DO - 10.1016/j.cct.2023.107275
M3 - Article
C2 - 37380020
AN - SCOPUS:85169064567
SN - 1551-7144
VL - 132
JO - Contemporary Clinical Trials
JF - Contemporary Clinical Trials
M1 - 107275
ER -