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The purpose of this study is to test the feasibility of older persons use of a personal sleep monitoring device(PSMD)to improve self-management of sleep. Disrupted sleep occurs in up to 50% of persons over the age of 65 with chronic health conditions. Impaired sleep negatively influences subjective and objective health outcomes.To improve their sleep, older adults with chronic health conditions could benefit from objective information, available through personal health monitoring devices, about their current and changing sleep patterns. Based on this information, sleep self-management interventions can be individualized and shared, and associations between sleep and health changes may be better managed.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Passive Personal Sleep Monitoring | Placebo Comparator | Wears personal sleep monitor but does not actively self-monitor (will have access to the sleep data and self-monitoring after 4 weeks). |
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| Individual Personal Sleep Monitoring | Active Comparator | Wears personal sleep monitor and actively self-monitoring sleep and using data to self-manage sleep. |
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| Socially Supported Sleep Monitoring | Active Comparator | Wears a personal sleep monitor, actively self-monitoring using sleep data to self-manage sleep and shares data for supportive self-management. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Personal Sleep Monitoring | Device | Wearable Sleep Self-Monitoring Device (Actigraphy) |
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| Measure | Description | Time Frame |
|---|---|---|
| Use of A Personal Sleep Monitoring Device (PSMD) | Demonstrates use of Personal Sleep Self-Monitor through data downloads and self-report | up to 4 weeks |
| Changes in Sleep | Demonstrated sleep changes indicated by change in BRCS NINR PROMIS SF V1 Sleep Disturbance Scale 6a (a 6 item, 5 point likert scale with higher scores reflecting more sleep disturbance and lower scores less. | Week 1 and Week 4 |
| Changes in Health | Demonstrated health changes indicated by change in BRCS NINR PROMIS Global Health Short Form Scale 10a (10 item, 5 point likert scale) with higher scores reflecting better health (3 items reverse scoring) | Week 1 and Week 4 |
| Measure | Description | Time Frame |
|---|---|---|
| Usability of PSMD | Demonstrated through adapted System Usability Scale Scores (10 items, 5 point likert scale) with high agreement demonstrating higher levels of satisfaction using the device | Week 2 and 4 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Raeann G LeBlanc, PhD, DNP | University of Massachusetts, Amherst | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Massachusetts | Amherst | Massachusetts | 01003 | United States |
IPD data will be shared de-identified as a GUID with the cdRNS data base.
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| ID | Term |
|---|---|
| D020447 | Parasomnias |
| ID | Term |
|---|---|
| D012893 | Sleep Wake Disorders |
| D009422 | Nervous System Diseases |
| D001523 | Mental Disorders |
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Comparative control - 3 group
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One group - personal sleep monitoring data with-held then provided after the intervention period.
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