Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults
Sleep disturbances are common in older adults and may contribute to disease progression in certain populations (e.g., Alzheimer’s disease). Light therapy is a simple and cost-effective intervention to improve sleep. Primary barriers to light therapy are: (1) poor acceptability of the use of devices,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/14/5372 |
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| author | Jonathan E. Elliott Carolyn E. Tinsley Christina Reynolds Randall J. Olson Kristianna B. Weymann Wan-Tai M. Au-Yeung Andrea Wilkerson Jeffrey A. Kaye Miranda M. Lim |
| author_facet | Jonathan E. Elliott Carolyn E. Tinsley Christina Reynolds Randall J. Olson Kristianna B. Weymann Wan-Tai M. Au-Yeung Andrea Wilkerson Jeffrey A. Kaye Miranda M. Lim |
| author_sort | Jonathan E. Elliott |
| collection | DOAJ |
| description | Sleep disturbances are common in older adults and may contribute to disease progression in certain populations (e.g., Alzheimer’s disease). Light therapy is a simple and cost-effective intervention to improve sleep. Primary barriers to light therapy are: (1) poor acceptability of the use of devices, and (2) inflexibility of current devices to deliver beyond a fixed light spectrum and throughout the entirety of the day. However, dynamic, tunable lighting integrated into the native home lighting system can potentially overcome these limitations. Herein, we describe our protocol to implement a whole-home tunable lighting system installed throughout the homes of healthy older adults already enrolled in an existing study with embedded home assessment platforms (Oregon Center for Aging & Technology—ORCATECH). Within ORCATECH, continuous data on room location, activity, sleep, and general health parameters are collected at a minute-to-minute resolution over years of participation. This single-arm longitudinal protocol collected participants’ light usage in addition to ORCATECH outcome measures over a several month period before and after light installation. The protocol was implemented with four subjects living in three ORCATECH homes. Technical/usability challenges and feasibility/acceptability outcomes were explored. The successful implementation of our protocol supports the feasibility of implementing and integrating tunable whole-home lighting systems into an automated home-based assessment platform for continuous data collection of outcome variables, including long-term sleep measures. Challenges and iterative approaches are discussed. This protocol will inform the implementation of future clinical intervention trials using light therapy in patients at risk for developing Alzheimer’s disease and related conditions. |
| first_indexed | 2024-03-09T05:55:54Z |
| format | Article |
| id | doaj.art-08a4ddec04a84ea588ca55d7fa09adc2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:55:54Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-08a4ddec04a84ea588ca55d7fa09adc22023-12-03T12:13:27ZengMDPI AGSensors1424-82202022-07-012214537210.3390/s22145372Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older AdultsJonathan E. Elliott0Carolyn E. Tinsley1Christina Reynolds2Randall J. Olson3Kristianna B. Weymann4Wan-Tai M. Au-Yeung5Andrea Wilkerson6Jeffrey A. Kaye7Miranda M. Lim8VA Portland Health Care System, Research Service, Portland, OR 97239, USAVA Portland Health Care System, Research Service, Portland, OR 97239, USADepartment of Neurology, Oregon Health & Science University, Portland, OR 97239, USAVA Portland Health Care System, Research Service, Portland, OR 97239, USASchool of Nursing, Oregon Health & Science University, Portland, OR 97239, USADepartment of Neurology, Oregon Health & Science University, Portland, OR 97239, USAPacific Northwest National Laboratory, Portland, OR 97239, USADepartment of Neurology, Oregon Health & Science University, Portland, OR 97239, USADepartment of Neurology, Oregon Health & Science University, Portland, OR 97239, USASleep disturbances are common in older adults and may contribute to disease progression in certain populations (e.g., Alzheimer’s disease). Light therapy is a simple and cost-effective intervention to improve sleep. Primary barriers to light therapy are: (1) poor acceptability of the use of devices, and (2) inflexibility of current devices to deliver beyond a fixed light spectrum and throughout the entirety of the day. However, dynamic, tunable lighting integrated into the native home lighting system can potentially overcome these limitations. Herein, we describe our protocol to implement a whole-home tunable lighting system installed throughout the homes of healthy older adults already enrolled in an existing study with embedded home assessment platforms (Oregon Center for Aging & Technology—ORCATECH). Within ORCATECH, continuous data on room location, activity, sleep, and general health parameters are collected at a minute-to-minute resolution over years of participation. This single-arm longitudinal protocol collected participants’ light usage in addition to ORCATECH outcome measures over a several month period before and after light installation. The protocol was implemented with four subjects living in three ORCATECH homes. Technical/usability challenges and feasibility/acceptability outcomes were explored. The successful implementation of our protocol supports the feasibility of implementing and integrating tunable whole-home lighting systems into an automated home-based assessment platform for continuous data collection of outcome variables, including long-term sleep measures. Challenges and iterative approaches are discussed. This protocol will inform the implementation of future clinical intervention trials using light therapy in patients at risk for developing Alzheimer’s disease and related conditions.https://www.mdpi.com/1424-8220/22/14/5372protocoltunable lightsleepAlzheimer’ssmart living applications |
| spellingShingle | Jonathan E. Elliott Carolyn E. Tinsley Christina Reynolds Randall J. Olson Kristianna B. Weymann Wan-Tai M. Au-Yeung Andrea Wilkerson Jeffrey A. Kaye Miranda M. Lim Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults Sensors protocol tunable light sleep Alzheimer’s smart living applications |
| title | Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults |
| title_full | Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults |
| title_fullStr | Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults |
| title_full_unstemmed | Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults |
| title_short | Tunable White Light for Elders (TWLITE): A Protocol Demonstrating Feasibility and Acceptability for Deployment, Remote Data Collection, and Analysis of a Home-Based Lighting Intervention in Older Adults |
| title_sort | tunable white light for elders twlite a protocol demonstrating feasibility and acceptability for deployment remote data collection and analysis of a home based lighting intervention in older adults |
| topic | protocol tunable light sleep Alzheimer’s smart living applications |
| url | https://www.mdpi.com/1424-8220/22/14/5372 |
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