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Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study
Sleep disturbances, including chronic insomnia and sleep apnea, are major concerns for US veterans, with rising rates and detrimental effects on physical, mental, and social well-being. Sleep disturbances in veterans are also underdiagnosed and undertreated for reasons that include limited sleep cli...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745770/ https://www.ncbi.nlm.nih.gov/pubmed/36530383 http://dx.doi.org/10.1007/s41347-022-00287-x |
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author | Kaitz, Jenesse Robinson, Stephanie A. Petrakis, Beth Ann Reilly, Erin D. Chamberlin, Elizabeth S. Wiener, Renda Soylemez Quigley, Karen S. |
author_facet | Kaitz, Jenesse Robinson, Stephanie A. Petrakis, Beth Ann Reilly, Erin D. Chamberlin, Elizabeth S. Wiener, Renda Soylemez Quigley, Karen S. |
author_sort | Kaitz, Jenesse |
collection | PubMed |
description | Sleep disturbances, including chronic insomnia and sleep apnea, are major concerns for US veterans, with rising rates and detrimental effects on physical, mental, and social well-being. Sleep disturbances in veterans are also underdiagnosed and undertreated for reasons that include limited sleep clinician availability, long wait times, and the time commitment for treatment. Greater use of sleep health information technologies could improve access to assessment and treatment of sleep disturbances. However, the assessment of acceptance of these technologies among veterans is still ongoing. This mixed-method study combines data from two separate but similar randomized controlled trials to assess acceptance of sleep health information technologies for veterans with chronic insomnia. Sleep health information technologies included in these trials were the following: (1) a WatchPAT sleep monitor for home-based sleep assessment, including detection of sleep apnea, and (2) the VA mobile app Cognitive Behavioral Therapy for Insomnia (CBT-i Coach), which supports self-management of insomnia. The combined sample of 37 veterans receiving care within one New England VA medical center completed a six-week trial using both health information technology tools. Participants completed a survey and interview at the end of the 6 weeks. Overall, participants found the tools acceptable, easy to use, and useful and reported they would use them in the future. Thus, these sleep health information technologies appear to provide an acceptable remote option for assessing and managing sleep issues for veterans. ClinicalTrials.gov NCT02392000; http://clinicaltrials.gov/ct2/show/NCT02392000 and ClinicalTrials.gov NCT03305354; https://clinicaltrials.gov/ct2/show/NCT03305354 |
format | Online Article Text |
id | pubmed-9745770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97457702022-12-13 Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study Kaitz, Jenesse Robinson, Stephanie A. Petrakis, Beth Ann Reilly, Erin D. Chamberlin, Elizabeth S. Wiener, Renda Soylemez Quigley, Karen S. J Technol Behav Sci Article Sleep disturbances, including chronic insomnia and sleep apnea, are major concerns for US veterans, with rising rates and detrimental effects on physical, mental, and social well-being. Sleep disturbances in veterans are also underdiagnosed and undertreated for reasons that include limited sleep clinician availability, long wait times, and the time commitment for treatment. Greater use of sleep health information technologies could improve access to assessment and treatment of sleep disturbances. However, the assessment of acceptance of these technologies among veterans is still ongoing. This mixed-method study combines data from two separate but similar randomized controlled trials to assess acceptance of sleep health information technologies for veterans with chronic insomnia. Sleep health information technologies included in these trials were the following: (1) a WatchPAT sleep monitor for home-based sleep assessment, including detection of sleep apnea, and (2) the VA mobile app Cognitive Behavioral Therapy for Insomnia (CBT-i Coach), which supports self-management of insomnia. The combined sample of 37 veterans receiving care within one New England VA medical center completed a six-week trial using both health information technology tools. Participants completed a survey and interview at the end of the 6 weeks. Overall, participants found the tools acceptable, easy to use, and useful and reported they would use them in the future. Thus, these sleep health information technologies appear to provide an acceptable remote option for assessing and managing sleep issues for veterans. ClinicalTrials.gov NCT02392000; http://clinicaltrials.gov/ct2/show/NCT02392000 and ClinicalTrials.gov NCT03305354; https://clinicaltrials.gov/ct2/show/NCT03305354 Springer International Publishing 2022-12-13 2023 /pmc/articles/PMC9745770/ /pubmed/36530383 http://dx.doi.org/10.1007/s41347-022-00287-x Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Kaitz, Jenesse Robinson, Stephanie A. Petrakis, Beth Ann Reilly, Erin D. Chamberlin, Elizabeth S. Wiener, Renda Soylemez Quigley, Karen S. Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study |
title | Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study |
title_full | Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study |
title_fullStr | Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study |
title_full_unstemmed | Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study |
title_short | Veteran Acceptance of Sleep Health Information Technology: a Mixed-Method Study |
title_sort | veteran acceptance of sleep health information technology: a mixed-method study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745770/ https://www.ncbi.nlm.nih.gov/pubmed/36530383 http://dx.doi.org/10.1007/s41347-022-00287-x |
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