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临床试验/NCT04487483
NCT04487483Unknown不适用

Exploring the Impact of a Sleep App on Sleep Quality: a Randomised Controlled Pilot Study

University College, London1 个研究点 分布在 1 个国家目标入组 101 人开始时间: 2020年2月13日最近更新:
适应症
干预措施

试验速览

阶段
不适用
入组人数
101
试验地点
1
主要终点
Change in self-reported sleep quality

研究概览

简要总结

Sufficient sleep is crucial for good health, yet a third of UK adults have impaired sleep quality. Therefore, there is urgent need for population-level sleep interventions. However, many sleep interventions (such as Cognitive Behavioural Therapy for Insomnia) are resource intensive and not widely available. Research demonstrates that smartphone interventions are an effective way to reach the wider population. However, many commercially available smartphone sleep applications focus on one technique, and hence do not tailor to the diverse needs of individuals. A new sleep app offers six different techniques, allowing individuals to shape their own journey to improved sleep quality. The investigators aim to test the sleep app's efficacy and gather user experience data to allow app optimisation. The study is a two-arm pilot randomised control trial (RCT). After recruitment and screening, baseline measurements will be taken: subjective sleep quality data will be collected using the Insomnia Severity Index (ISI) and the Consensus Sleep Diary from all participants and objective accelerometry data via an Oura Ring (worn on finger for a week) on a subsample of participants. Participants will then be randomised to the intervention or control. Intervention participants will be given free use of the sleep app for 3 months. Controls will be informed that they will not receive access to the intervention and will be asked to abstain from using any other digital sleep-based intervention during the 3 months. All participants will be given the ISI after each month and will be given the Consensus Sleep Diary to fill out for one week again after 2 months. The planned Oura ring follow-up after 2 months for participants who wore the Oura ring at baseline has been cancelled due to COVID-19. User engagement will be assessed using the Digital Behaviour Change Intervention Engagement Scale. Telephone interviews will also be conducted with 20-30 participants to explore experience of using the app, how the comparison group felt about being allocated to the control group and how the COVID-19 pandemic may have affected their sleep and other measures of the study. Change in self-reported sleep will be the primary outcome and qualitative user data secondary. Appropriate tests (such as an ANOVA or linear regression controlling for baseline sleep and testing for effect of group when using continuous data) and thematic analysis of qualitative interview data will be conducted.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Other
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
是

入选标准

  • •Aged 18 or above
  • •Own a smartphone

排除标准

  • •Having a clinically diagnosed sleep disorder for which they are currently being treated
  • •Frequent use (once a week or more) of any sleep medication
  • •Enrolment on another sleep trial
  • •Being unwilling to cease usage of other sleep apps for the duration of the study
  • •Pregnancy

研究组 & 干预措施

Sleep App

Experimental

Participants in this condition will receive full free access to the "Pro" version of the sleep app and asked to use the app every day for three months.

干预措施: Sleep App (Behavioral)

Control

No Intervention

Participants in this condition will be asked to continue their life as normal and abstain from downloading or using any sleep aid and/or sleep tracker app for three months.

结局指标

主要结局

Change in self-reported sleep quality

时间窗: Baseline/1 month/2 months/3 months

Measured using the Insomnia Severity Index. The scores from the Insomnia Severity Index range from 0 to 28, where higher scores indicate worse sleep quality.

次要结局

  • Change in self-reported sleep(Baseline/2 months)
  • Engagement with the sleep app(Once a week for 3 months)
  • Telephone interview qualitative user data(Up to 6 months)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Abi Fisher

Associate Professor of Physical Activity and Health

University College, London

研究点 (1)

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