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Massive Individualized N-of-1 Experiments (MINEs)

赞助:
合作者:
信息的提供 (责任方):
Richard L. Kravitz, MD, MSPH,University of California, Davis
October 2, 2018
October 4, 2018
October 4, 2018
February 1, 2019
May 30, 2019   (主要结果测量的最终数据收集日期)
Stress[ Time Frame: 18 days ]
How stressed are you feeling today? (single item Likert scale)

Focus[ Time Frame: 18 days ]
How focused are you feeling today? (single item Likert scale)

Happiness[ Time Frame: 18 days ]
How happy are you feeling today? (single item Likert scale)

与当前相同
  • User burden[ Time Frame: Within 1 to 28 days of N-of-1 trial completion ]
    User burden scale
 
Massive Individualized N-of-1 Experiments (MINEs)
Massive Individualized N-of-1 Experiments Using HackYourHealth: A New Paradigm for Promoting Health and Well-Being

The project will enroll up to 10,000 adult volunteers in individualized experiments (N-of-1 trials) designed to assess the individual-level effects of any of five interventions on three outcomes. The five interventions are: gratitude journaling, mindfulness meditation, random acts of kindness, physical activity, and laughter therapy. The three outcomes are stress, cognitive focus, and happiness. Each participant will engage in the selected activity in 3 day intervals, separated at random by 3 day intervals of usual activity, for a total of six 3-day periods (18 days).

N-of-1 trials (single patient crossover experiments) are a uniquely powerful technique for estimating treatment effects in the individual. N-of-1 trials have been offered to hundreds or perhaps thousands of patients worldwide, but never at scale. HackYourHealth is a tool that supports the conduct of simple N-of-1 self-experiments to test if healthy activities that work in general (i.e., mindfulness meditation, physical activity, gratitude journaling, random acts of kindness, and laughter therapy), improve psychological well-being (stress, focus, happiness) in specific individuals. The tool supplies the experimental design, facilitates data analysis, and channels feedback to participants. The tool is flexible enough to support Massive Individualized N-of-1 Experiments (MINEs) at scale. Working with WNYC Radio in New York City, we will recruit and run 18-day N-of-1 trials up to 10,000 individuals. The purpose of this study is to conduct a formative evaluation of HackYourHealth in terms of its perceived usefulness and to explore heterogeneity in intervention response across the sample. We anticipate that the results will: 1) identify useful behavioral interventions for individual participants; 2) help to estimate generalizable treatment effects for the interventions of interest; 3) assess heterogeneity of treatment effects across subgroups; and 4) elucidate the user experience with N-of-1 trials. When complete, the study will support additional proposals designed to assess the utility of MINEs as applied to additional conditions and treatments.
Interventional
N/A
分配:
干预模型: Sequential Assignment
干预模型描述: Each participant will enroll in a personalized ("N-of-1") crossover trial.
盲法: Interventional
盲法描述:The analysis will proceed automatically without knowledge of which 3-day treatment periods were associated with one of the five interventions and which were associated with the subject's usual activities.
主要目的: Treatment
  • Behavioral: Choice of one of five behavioral interventions
    All participants will choose one of the five intervention options.
  • Experimental: N-of-1 Trial
    Multiple crossovers between one of the available intervention options (mindfulness meditation, gratitude journaling, physical activity, laughter therapy, or random acts of kindness) and usual activities
 
Not yet recruiting
500
与当前相同
June 30, 2019
May 30, 2019   (主要结果测量的最终数据收集日期)
Inclusion Criteria: - Age 18 or over - Living anywhere in the United States - Using a smartphone - Having regular access to internet on their phone - Able to read and write in English Exclusion Criteria: There are no exclusion criteria, except that patients with pre-existing cardiovascular disease will be cautioned not to engage in new types of physical activity without consulting a physician.
参与研究的性别: All
最小年龄:18 Years ,最大年龄:N/A  
没有
 
No
研究美国FDA监管的药品: No
研究涉及美国FDA监管的设备产品: No
计划分享 IPD: No
Richard L. Kravitz, MD, MSPH,University of California, Davis
University of California, Davis
Principal Investigator: Richard L Kravitz, MD, MSPH UC Davis Division of General Medicine
University of California, Davis
October 2018

ICMJE     国际医学期刊编辑委员会和 世界卫生组织 ICTRP 要求的元素
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