Increasing Exercise Adherence After Percutaneous Coronary Intervention With the Fitbit Charge HR Device

NCT ID: NCT02788929

Last Updated: 2016-06-02

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

40 participants

Study Classification

INTERVENTIONAL

Study Start Date

2016-05-31

Brief Summary

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Design: Single center, prospective, randomized study that will compare activity levels in patients who complete cardiac rehabilitation after clinically indicated percutaneous coronary intervention with and without use of the wrist-worn Fitbit Charge HR device and mobile platform application.

Primary Endpoint: The average number of steps taken per day will serve as the main marker of daily physical activity.

Control: Patients who do not receive the device (Fitbit Charge HR).

Secondary Endpoints: (1) change in daily energy expenditure (2) change in number of activity and sedentary bouts (3) change in sleep efficiency (4) change in weekly time of moderate/vigorous physical activity (5) change in quality of life (6) change in indicators of depression (7) change in medication adherence(8) change in HDL and LDL cholesterol (9) change in BMI and waist circumference (10) change in resting heart rate and blood pressure (11) change in exercise stress test performance (timeframe for all: baseline - 12 weeks)

Detailed Description

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Conditions

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Acute Coronary Syndrome

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Study Groups

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Fitbit Charge HR

Use of the Fitbit Charge HR, a simple, user-friendly, wrist-worn, commercially available device which provides feedback on exercise goal adherence, in combination with the Fitbit mobile platform application.

All patients will wear the Actigraph wGT3X-BT, from which data is extracted. Actigraph does not provide patient any feedback.

Group Type ACTIVE_COMPARATOR

Fitbit Charge HR

Intervention Type DEVICE

Patients randomized to the FitBit group will receive Fitbit Charge HR, a simple, user-friendly, wrist-worn, commercially available device which provides feedback on exercise goal adherence, in combination with the Fitbit mobile platform application.

No Device

No Fitbit used and no feedback on exercise goal adherence. All patients will wear the Actigraph wGT3X-BT, from which data is extracted. Actigraph does not provide patient any feedback.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Fitbit Charge HR

Patients randomized to the FitBit group will receive Fitbit Charge HR, a simple, user-friendly, wrist-worn, commercially available device which provides feedback on exercise goal adherence, in combination with the Fitbit mobile platform application.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Age 18 years or greater
* Willing and able to give informed consent
* Successful, clinically-indicated PCI with no plan for staged procedure
* Clinically stable and able to exercise
* Access to smartphone (Apple or Android platform)
* Completed 10 weeks of CR and is expected to graduate program.

Exclusion Criteria

* Plan for PCI or other major surgical procedure, which would limit exercise capability, within the 14 weeks following study enrollment.
* Home oxygen requirement
* Amputation, peripheral arterial disease, other musculoskeletal or neurological disease affecting mobility
* End-stage renal disease
* Ongoing Unstable angina or CCS IV angina
* NYHA IV heart failure
* Terminal illness
* Dementia
* Fall risk (inability to hold semi-tandem stance for 10 seconds)
* Pregnant women and prisoners
* Any other criteria that in the opinion of the investigator would preclude patient participation in the study and/or impact exercise capability.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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North Texas Veterans Healthcare System

FED

Sponsor Role lead

Responsible Party

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Emmanouil Brilakis

Director of Cardiac Catheterization Laboratories, Professor of Medicine

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Emmanouil S Brilakis, MD, PhD

Role: STUDY_CHAIR

North Texas Veterans Healthcare System

References

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Levine GN, Bates ER, Blankenship JC, Bailey SR, Bittl JA, Cercek B, Chambers CE, Ellis SG, Guyton RA, Hollenberg SM, Khot UN, Lange RA, Mauri L, Mehran R, Moussa ID, Mukherjee D, Nallamothu BK, Ting HH. 2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions. Circulation. 2011 Dec 6;124(23):e574-651. doi: 10.1161/CIR.0b013e31823ba622. Epub 2011 Nov 7. No abstract available.

Reference Type BACKGROUND
PMID: 22064601 (View on PubMed)

Goel K, Lennon RJ, Tilbury RT, Squires RW, Thomas RJ. Impact of cardiac rehabilitation on mortality and cardiovascular events after percutaneous coronary intervention in the community. Circulation. 2011 May 31;123(21):2344-52. doi: 10.1161/CIRCULATIONAHA.110.983536. Epub 2011 May 16.

Reference Type BACKGROUND
PMID: 21576654 (View on PubMed)

Moore SM, Dolansky MA, Ruland CM, Pashkow FJ, Blackburn GG. Predictors of women's exercise maintenance after cardiac rehabilitation. J Cardiopulm Rehabil. 2003 Jan-Feb;23(1):40-9. doi: 10.1097/00008483-200301000-00008.

Reference Type BACKGROUND
PMID: 12576911 (View on PubMed)

Dolansky MA, Stepanczuk B, Charvat JM, Moore SM. Women's and men's exercise adherence after a cardiac event. Res Gerontol Nurs. 2010 Jan;3(1):30-8. doi: 10.3928/19404921-20090706-03. Epub 2010 Jan 27.

Reference Type BACKGROUND
PMID: 20128541 (View on PubMed)

Moore SM, Charvat JM, Gordon NH, Pashkow F, Ribisl P, Roberts BL, Rocco M. Effects of a CHANGE intervention to increase exercise maintenance following cardiac events. Ann Behav Med. 2006 Feb;31(1):53-62. doi: 10.1207/s15324796abm3101_9.

Reference Type BACKGROUND
PMID: 16472039 (View on PubMed)

Bravata DM, Smith-Spangler C, Sundaram V, Gienger AL, Lin N, Lewis R, Stave CD, Olkin I, Sirard JR. Using pedometers to increase physical activity and improve health: a systematic review. JAMA. 2007 Nov 21;298(19):2296-304. doi: 10.1001/jama.298.19.2296.

Reference Type BACKGROUND
PMID: 18029834 (View on PubMed)

Izawa KP, Watanabe S, Omiya K, Hirano Y, Oka K, Osada N, Iijima S. Effect of the self-monitoring approach on exercise maintenance during cardiac rehabilitation: a randomized, controlled trial. Am J Phys Med Rehabil. 2005 May;84(5):313-21. doi: 10.1097/01.phm.0000156901.95289.09.

Reference Type BACKGROUND
PMID: 15829777 (View on PubMed)

Bohannon RW. Number of pedometer-assessed steps taken per day by adults: a descriptive meta-analysis. Phys Ther. 2007 Dec;87(12):1642-50. doi: 10.2522/ptj.20060037. Epub 2007 Oct 2.

Reference Type BACKGROUND
PMID: 17911274 (View on PubMed)

VanWormer JJ, Boucher JL, Pronk NP, Thoennes JJ. Lifestyle behavior change and coronary artery disease: effectiveness of a telephone-based counseling program. J Nutr Educ Behav. 2004 Nov-Dec;36(6):333-4. doi: 10.1016/s1499-4046(06)60406-5. No abstract available.

Reference Type BACKGROUND
PMID: 15617619 (View on PubMed)

Other Identifiers

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16-008

Identifier Type: -

Identifier Source: org_study_id

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