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临床试验/NCT03795129
NCT03795129Unknown不适用

Testing Utility of Commercially Available Sleep Trackers for Physician-Patient Communication Around Sleep Experience, Habits, and Behaviors

Regenstrief Institute, Inc.2 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2018年6月10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
200
试验地点
2
主要终点
Number of physicians using a commercially available sleep tracker assessed by the "Physician Satisfaction/Communication" questionnaire who saw an improvement in physician-patient dialogue regarding sleep and related behaviors and habits

研究概览

简要总结

Sleep related disorders are common in primary care practice. Sleep wear related data has not been utilized to improve sleep related communication between patients and providers. The study team is conducting a randomized study to improve physical-patient communication regarding sleep through a novel intervention based upon sleep wear and the Sleeplife® app.

详细描述

Based on a National US survey in 2012, 69% adults track at least one health indicator using either a tracking device or some other means. The main health indicators tracked were diet, weight, and exercise. Although not as extensive as the above health indicators, certain studies also looked at sleep indicators through the trackers to support validity of their use. Based on the study team's literature review, none of the studies looked at an intervention designed to utilize data-trackers-based data to improve physician-patient communication regarding sleep.

Commercially available and inexpensive exercise, fitness and sleep trackers are broadly available and consumer use is growing rapidly. Industry analysts estimate that over 30 million Americans have access to their sleep tracking data (e.g. Fitbit. Jawbone). Physicians seldom use patient-generated (i.e. subjective) sleep data (e.g. sleep diaries) and have been slow to integrate objective sleep data collected from commercial sleep trackers. Two commercial sleep trackers have been validated by independent testing. The National Sleep Foundation (NSF) has led recent efforts to establish normative data (i.e. appropriate ranges) for sleep duration and sleep quality. NSF, together with the Consumer Electronics Association (now Consumer Technology Association), has established a work-group involving over 40 sleep tracking technology companies which is working to standardize sleep tracking data collection and reporting. Finally, NSF has developed a tool ("SleepLife") that translates data retrieved from all commercially available sleep trackers into a personal sleep tracking record. This product has been tested rigorously for two years and publicly released in January 2016. These developments present the timely opportunity to test a new paradigm for patient and physician communication using objective patient data (sleep).

The study team will utilize a combination of observational and interventional study designs to achieve study objectives.

研究设计

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

盲法说明

Masking will not occur.

入排标准

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

入选标准

  • 18 and older
  • Have insomnia as identified by electronic record and/or a validated questionnaire
  • Prescription medication for insomnia with International Classification of Disease (ICD) codes: 327.*, 780.5*, 347.*; icd-10's G47* and medications: Ambien (zolpidem), Belsomra (suvorexant), Butisol (butabarbital), Doral (quazepam), Edluar (zolpidem), Estazolam, Flurazepam, Halcion (triazolam), Hetlioz (tasimelteon), Intermezzo (zolpidem), Lunesta (eszopiclone), Restoril (temazepam), Rozerem (ramelteon), Seconal (secobarbital), Silenor (doxepin), Sonata (zaleplon), and Zolpimist (zolpidem)
  • English speaking
  • Consentable in-person
  • Have access to a telephone with smart phone capabilities. (iOS/Android)

排除标准

  • Not English speaking
  • Have ischemic or hemorrhagic cerebrovascular disease affecting collection of study outcomes (via ICD codes I6*, 43*)
  • History of dementia (via ICD codes F0*, 290*)
  • History of Bipolar/Schizophrenia/Depression (via ICD codes F2*, F31*, 296*, 295*)
  • History of alcohol or substance abuse (via ICD codes F1*, 304*, 303*)
  • Incarcerated/Long Term Care (LTC)
  • Unable to complete study questionnaires due to hearing loss or blindness

研究组 & 干预措施

SleepLife Application w/FitBit

Experimental

Subject receives a FitBit. Subjects receive access to the SleepLife Application. Subjects receive training and assistance setting up use and access to the SleepLife Application.

Subject physicians will receive subject sleep data. Subject and physicians have the option of messaging each other through the SleepLife application.

干预措施: SleepLife Application w/FitBit (Behavioral)

FitBit w/Minimal to No SleepLife App.

Active Comparator

Subjects will receive a FitBit Subjects will be told about the SleepLife Application (but not be shown how to access it).

Subjects will receive no training with regard to how to access SleepLife Application.

Subjects' physicians will receive no subject sleep data.

干预措施: FitBit w/Minimal to No SleepLife App. (Behavioral)

结局指标

主要结局

Number of physicians using a commercially available sleep tracker assessed by the "Physician Satisfaction/Communication" questionnaire who saw an improvement in physician-patient dialogue regarding sleep and related behaviors and habits

时间窗: Six Months

For patient-physician communications from the physicians' end, the team will collect all scores, ranging from 1 to 5, for all the "Communication" questions in the "Physician Satisfaction/Communication" questionnaire. The scores will be summed up as the total communication score from physician, and the total score will be treated as continuous response variable. Then a binary variable indicating whether the physician is in the intervention (=1) or control (=0) arm will be treated as the main explanatory variable, a continuous variable regarding the time where the measurements are recorded, and the set of general demographic variables (age, race, gender, etc) will be used as covariates. We will use linear regression model, and select relevant variables using Bayesian information criterion (BIC) in a step-wise manner. The SleepLife app will be pulling time-to-sleep (TST), amount of time in minutes to sleep, number of awakenings greater than 5 minutes, and sleep efficiency.

Number of patient-physician communicationdialog assessed by using a commercially available sleep tracker assessed by the "Patient Satisfaction" questionnaire.

时间窗: Six Months

For patient-physician communications from the patients' end, the team will collect all the scores, ranging from 1 to 5, for all the "Communication" questions in the "Patient Satisfaction" questionnaire. The scores will be summed up as the total communication score from the patients' end, and the total score will be treated as continuous response variable. Then a binary variable indicating whether the patient is in the intervention (=1) or control (=0) arm will be treated as the main explanatory variable, a continuous variable regarding the time where the measurements are recorded, and the set of general demographic variables (age, race, gender, etc) will be used as covariates. Considering the linear responses and the cluster design, the team will use generalized estimating equation (GEE) model with an identity link function, and the team will select relevant variables using QIC in a step-wise manner.

次要结局

  • Number of physician subjects with satisfaction with sleep counseling that improves when presented with objective patient sleep data.(Six Months)
  • Number of patients who feel that their communication with their physician has improved as a result of the program as measured by the "Patient Satisfaction" survey.(Six Months)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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