Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
45 participants
INTERVENTIONAL
2023-10-03
2024-06-10
Brief Summary
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Detailed Description
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Study participants will be randomized following consent and completion of baseline surveys. Participants will be randomly assigned to usual care or intervention. We will use 2:1 randomization. We will randomize in block sizes of 3 and 6.
Intervention: The intervention arm will then be given a wearable device and will be asked to wear it for 3 months. The device will collect biometric data on stress levels, sleep patterns, and other physiological measures of well-being. The intervention group will receive biweekly EMA short surveys, personalized bi-weekly reports from their EMA data, biometric feedback from wearable devices (sleep, heart rate variability, physical activity), and linkage to tailored and symptom-specific Cobalt resources on health and resilience. After 3 months, we will survey providers to complete a post-survey followed by a survey at 6-months following a 3-month washout period.
Control: The control arm will be asked to complete a baseline survey as well as one assessment at the end of the three-month study period. They will receive usual care, or clinician-initiated use of Penn Cobalt. They will then complete additional surveys at 3-months and 6-months.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Intervention
In addition to completing 3 surveys over the course of 6 months, participants in the intervention arm will be asked to wear a wearable device (FitBit Charge 5), complete texting-based ecological momentary assessments to gauge real-time feelings of stress, and receive bi-weekly personalized data dashboards to report back their data.
Wearable Device and Ecological Momentary Assessments
The intervention will consist of three components:
1. Completion of brief text-message based surveys 2-3 times per week
2. Wearing a wrist-based wearable device to generate individual data insights on physiological data related to stress and well-being, including heart rate variability, stress scores, and sleep quality
3. Individual biweekly reports of survey response trends and curated resources intended to support participant well-being
Control
Participants randomized to this arm will receive digital surveys over the course of 6 months (one at baseline, one at 3 months, and one at 6 months). These surveys will be the same as the intervention arm and will ask questions related to burnout, anxiety, depression, PTSD, and stress.
No interventions assigned to this group
Interventions
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Wearable Device and Ecological Momentary Assessments
The intervention will consist of three components:
1. Completion of brief text-message based surveys 2-3 times per week
2. Wearing a wrist-based wearable device to generate individual data insights on physiological data related to stress and well-being, including heart rate variability, stress scores, and sleep quality
3. Individual biweekly reports of survey response trends and curated resources intended to support participant well-being
Eligibility Criteria
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Inclusion Criteria
* Emergency Medicine (EM) physician or advanced practice provider
* Daily access to smart phone
* Ability to use a wrist-worn wearable device
* Has or is willing to create a Gmail / Google account
* Provides at least 20 hours per week of clinical care.
Exclusion Criteria
* Not a Penn EM physician or advanced practice provider
* Does not have daily access to a smart phone
* Unwilling or unable to wear a wearable device
* Does not have or is unwilling to create a Gmail / Google account
* Does not provide at least 20 hours per week of clinical care
18 Years
ALL
Yes
Sponsors
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Emergency Medicine Foundation
OTHER
University of Pennsylvania
OTHER
Responsible Party
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Locations
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University of Pennsylvania
Philadelphia, Pennsylvania, United States
Countries
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Other Identifiers
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0852220
Identifier Type: -
Identifier Source: org_study_id
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