Use of Wearables in Hospitalized General Medicine Patients
NCT ID: NCT03646435
Last Updated: 2019-12-03
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
50 participants
INTERVENTIONAL
2019-06-12
2019-11-01
Brief Summary
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Detailed Description
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The wearable chosen for this study will be the Fitbit Charge 2. The Fitbit will be worn by all patients who are recruited to participate in the study. It will be worn like a watch on a wrist and uses photoplethysmography (PPG) to detect periodic changes in blood flow beneath the sensor; thereby measuring changes in heart rate. Heart rate will be measured nearly continuously. Fitbit will also assess activity and will also assess sleep. Fitbit data will be transmitted via Bluetooth to a mobile app which then is uploaded to Fitbit servers. The Fitbit data will then be accessed via the Web. The data will be downloaded from Fitbit servers to a secure UHN server.
In an effort to reduce the risk of potential iatrogenic infection, the study team will use disinfectant wipes to thoroughly clean wearables between uses. Participants will be shown how to wear the band by a study investigator or research personnel.
At the end of the study for each participant, the investigators will ask the questions related to how useful they found the data. For each participant, the study team will provide summary of their data to nurses and physicians who were caring for them. The investigators hope to get 2 nurse surveys per patient (because of there being multiple shifts per patient) and to get 1 attending survey per patient.
Conditions
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Study Design
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NA
SINGLE_GROUP
SCREENING
NONE
Study Groups
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Wearable device (Fitbit Charge 2)
The Fitbit Charge 2 is the wearable of interest for this pilot study. All 50 study participants will be requested to wear the electronic device for the duration of their stay in the hospital (maximum of 6 days). The Fitbit will passively collect health information of patients which will be tracked on mobile devices by the study investigators.
Fitbit Charge 2
The Fitbit Charge 2 is the electronic wearable chosen for this pilot study. This particular Fitbit is capable of measuring patient heart rate, sleep and physical activity. The data collected will then be analyzed with respect to the outcomes of this study. To determine the accuracy of the Fitbit, data collected will be compared to the nurses' standard patient assessment (for HR and physical activity) and to patient responses on the Richards-Campbell Sleep Questionnaire (for sleep).
Interventions
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Fitbit Charge 2
The Fitbit Charge 2 is the electronic wearable chosen for this pilot study. This particular Fitbit is capable of measuring patient heart rate, sleep and physical activity. The data collected will then be analyzed with respect to the outcomes of this study. To determine the accuracy of the Fitbit, data collected will be compared to the nurses' standard patient assessment (for HR and physical activity) and to patient responses on the Richards-Campbell Sleep Questionnaire (for sleep).
Eligibility Criteria
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Inclusion Criteria
* Able to consent.
* Able to speak English.
* 18 years of age or older
Exclusion Criteria
* To reduce the potential risk of transmitting nosocomial infections, patients under contact precautions for methicillin resistant Staphylococcus aureus (MRSA) and Clostridium difficile infections will also be excluded.
* We will also excluded patients at risk of vascular compromise of the arm on which the wearable device was to be placed, such as patients with upper extremity deep venous thrombosis, peripherally inserted central catheters, radial arterial lines, dialysis fistulas, and severe upper extremity trauma.
* We will exclude patients with significant cognitive impairment as patients will be required to complete daily surveys.
18 Years
ALL
No
Sponsors
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University Health Network, Toronto
OTHER
Responsible Party
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Robert Wu
GIM Site Director, TGH
Principal Investigators
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Robert Wu, MD
Role: PRINCIPAL_INVESTIGATOR
University Health Network, Toronto
Locations
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Toronto General Hospital
Toronto, Ontario, Canada
Countries
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References
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Helton MC, Gordon SH, Nunnery SL. The correlation between sleep deprivation and the intensive care unit syndrome. Heart Lung. 1980 May-Jun;9(3):464-8. No abstract available.
Pires GN, Bezerra AG, Tufik S, Andersen ML. Effects of acute sleep deprivation on state anxiety levels: a systematic review and meta-analysis. Sleep Med. 2016 Aug;24:109-118. doi: 10.1016/j.sleep.2016.07.019. Epub 2016 Aug 27.
Roehrs T, Hyde M, Blaisdell B, Greenwald M, Roth T. Sleep loss and REM sleep loss are hyperalgesic. Sleep. 2006 Feb;29(2):145-51. doi: 10.1093/sleep/29.2.145.
Baldwin C, van Kessel G, Phillips A, Johnston K. Accelerometry Shows Inpatients With Acute Medical or Surgical Conditions Spend Little Time Upright and Are Highly Sedentary: Systematic Review. Phys Ther. 2017 Nov 1;97(11):1044-1065. doi: 10.1093/ptj/pzx076.
Abeles A, Kwasnicki RM, Pettengell C, Murphy J, Darzi A. The relationship between physical activity and post-operative length of hospital stay: A systematic review. Int J Surg. 2017 Aug;44:295-302. doi: 10.1016/j.ijsu.2017.06.085. Epub 2017 Jul 6.
Kroll RR, Boyd JG, Maslove DM. Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational Study. J Med Internet Res. 2016 Sep 20;18(9):e253. doi: 10.2196/jmir.6025.
Kroll RR, McKenzie ED, Boyd JG, Sheth P, Howes D, Wood M, Maslove DM; WEARable Information Technology for hospital INpatients (WEARIT-IN) study group. Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study. J Intensive Care. 2017 Nov 21;5:64. doi: 10.1186/s40560-017-0261-9. eCollection 2017.
Appelboom G, Camacho E, Abraham ME, Bruce SS, Dumont EL, Zacharia BE, D'Amico R, Slomian J, Reginster JY, Bruyere O, Connolly ES Jr. Smart wearable body sensors for patient self-assessment and monitoring. Arch Public Health. 2014 Aug 22;72(1):28. doi: 10.1186/2049-3258-72-28. eCollection 2014.
Other Identifiers
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18-5621
Identifier Type: -
Identifier Source: org_study_id
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