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Clinical Trial Summary

Sleep is an important contributing factor to people's health. However, over one third of the general population has sleep complaints, causing both health related problems, and economic impact. Many do not think their problem sleep is serious enough to consult a physician (primary care or sleep specialist). For a selection of this population, self-tracking devices can be a solution, but these trackers are often activity based and therefore lacking in their capacity to give insight into underlying causes of poor quality sleep and daytime fatigue.

A new options for these confused sleeper is an online questionnaire, developed by Philips and Cooperative Research Center (CRC) for Alertness, Safety and Productivity Imagine a troubled sleeper awake at 3 am, they search "Why can't I sleep?" and find the survey. From there the user takes the sleep survey, which has the ability to assess their most likely sleep problem or problems from a list of seven sleep problem categories based upon their responses. At the end of the survey, participants will get information about which problem category they will fall into, and the level of certainty around that.

The purpose of the study is to determine the accuracy of the questionnaire in identifying the correct sleep problem when compared with the assessment of a sleep physician in a clinical sleep center. We hope to enroll 200 participants which was based upon an Initial power analyses were completed using pilot data, assuming accuracy rates of 70, 80, and 90% and a total sample size of 200. The intervals would be about ± 4.5% (for 90%) to ± 7% (for 70%). Participants will complete the survey, be blinded to the results, and then have a consultation with a sleep physician who will make an independent assessment.


Clinical Trial Description

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Study Design


Related Conditions & MeSH terms


NCT number NCT03590795
Study type Observational
Source Philips Respironics
Contact
Status Completed
Phase
Start date June 19, 2018
Completion date September 7, 2018

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