- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03857061
A Wearable and a Self-management Application for Chronic Obstructive Pulmonary Disease (COPD) Patients at Home (COPDwear)
COPDwear V2 - A Wearable and a Self-management Application for COPD Patients at Home: a Pilot Prospective Cohort Study
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Our overall research goal for this project is to create a wearable device and mobile application, appealing to patients with COPD, which provides them with appropriate self-management tools and detects Acute Exacerbations of COPD (AECOPDs) early to permit prompt treatment and prevent severe exacerbations requiring hospitalization. Currently, the investigators are developing a second version of this app, WearCOPDv2. This app will incorporate features identified as being desirable from our patient interviews: 1) new sensor that was requested by patients - oxygen saturation, and 2) the app will incorporate a patient-facing interface as patients requested a method to view their data as well as access to information to learn how to manage their condition better.
Research questions:
Can an app designed for patients with COPD that includes biosensor feedback improve self-management of COPD?
What is the accuracy of our sensor data (heart rate, activity, respiratory rate, oxygen saturation, coughing, and other sounds of interest) in detecting early AECOPDs?
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Ontario
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Toronto, Ontario, Canada, M5G 2C4
- Toronto General Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Able to speak English
- Moderate to very severe COPD (GOLD C and D) as defined by the GOLD guidelines
- Clinically relevant disease, as defined by a history of exacerbation in the previous 12 months
- Previous spirometry or Pulmonary Function Test results of Forced Expiration Volume/Forced Vital Capacity (FEV1/FVC) <0.70 with an FEV1 below 80% predicted
- Patient resides at home (not long term care residence or another hospital)
Exclusion Criteria:
- Pulmonary condition other than COPD as the main respiratory disease such as bronchiectasis or asthma
- Rapid lethal disease, e.g. lung cancer, advance heart failure, end-stage renal disease
- Any medical conditions that would impair their ability to participate in the study
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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COPD Patients
This is a prospective cohort study enrolling patients with COPD to 1) wear a smartwatch that passively senses heart rate, motion, audio, 2) use a smartphone that can obtain oxygen saturation upon demand, 3) use a self-management app on the smartwatch, smartphone and a webapp.
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WearCOPD2 consists of hardware and software components. 6.1 Hardware The hardware for wearCOPDv2 consists of three main components; (1) a smartwatch, (2) a phone, and (3) a server. 6.2 Software The wearCOPDv2 system has two main software components:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in self-management as measured by the Mastery sub-section of the Chronic Respiratory Disease Questionnaire
Time Frame: 6 months
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Can an app designed for patients with COPD that includes biosensor feedback improve self-management of COPD? We will use the Mastery sub-section of the Chronic Respiratory Disease Questionnaire to measure our research question. Mastery is measured with a 7-point likert scale where higher scores indicate better health-related mastery. |
6 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in self-efficacy as measured by the COPD Self-Efficacy Scale
Time Frame: 6 months
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Can an app designed for patients with COPD that includes biosensor feedback improve self-efficacy of COPD? This will be measured by the COPD self-efficacy scale. Participants will determine how confident they are that they could manage breathing difficulty or avoid breathing difficulty in certain situations. Usin the following scale.
A lower score indicates higher self-efficacy. |
6 months
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Change in Health related quality of life as measured by the St. George's respiratory questionnaire
Time Frame: 6 months
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Can an app designed for patients with COPD that includes biosensor feedback improve health related quality of life? Scoring and Scales Questions 1 - 7 Scale: Most days a week - Not At All Where a patient has ticked a box, a value of 1 is entered for the appropriate question. Question 8 Where a patient has ticked 'Yes' to having a worse wheeze in the morning, a value of 1 is entered for the appropriate question. Questions 9, 10 & 17 Where a patient has ticked a box, a value of 1 is entered for the appropriate question. Questions 11 - 16 Where a patient has ticked 'True' a value of 1 is entered for the appropriate question. In response to question 14, if a patient is not receiving medication, enter the responses as zero. Score = 100 x (Summed weights from positive items in the questionnaire divided by the Sum of weights for all items in the questionnaire) lower scores indicate higher health related quality of life |
6 months
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Change in symptom scale as measured by the MRC dyspnea scale
Time Frame: 6 months
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Can an app designed for patients with COPD that includes biosensor feedback improve COPD symptoms? The MRC Dyspnea scale asks you to rate your breathlessness on a 5 point likert scale. |
6 months
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Accuracy of our derived prediction algorithm to detect acute exacerbations as measured by the daily symptom score.
Time Frame: 6 months
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We will correlate sensor data from the smartwatch to exacerbations defined by the daily symptom score. The daily symptom score asks about daily symptoms of COPD and patients are asked to answer yes or no to whether or not they have experienced a decline of any of the symptoms |
6 months
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Collaborators and Investigators
Investigators
- Principal Investigator: Robert Wu, University Health Network, Toronto
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 18-5462
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
UHN, research personnel will have direct access to the source documents with identifying information.
UHN, University of Toronto (UofT) and Samsung Research America (SRA) will have access to the anonymized subject data for analysis purposes.
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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