Atrial Fibrillation Clinical Trial
— iHEARTOfficial title:
iPhone Helping Evaluate Atrial Fibrillation Rhythm Through Technology
Verified date | January 2020 |
Source | Columbia University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Atrial fibrillation (AF), a condition where the top chambers of the heart beat irregularly, is a major health problem. The long-term goal of this project is to use a personal, mobile heart monitor to help patients better recognize recurrent AF and improve patients' ability to better manage their condition. A total of 300 patients with a history of AF will be included in the study, with 150 patients receiving an iPhone with the mobile monitoring device and educational text messaging and the remaining 150 patients continuing with their regular medical care. Each patient will be included in the intervention period for 6 months. The rate of recurrent AF and treatments meant to manage AF and other heart conditions will be determined for both groups. Patients in both groups will complete a series of questionnaires at the start and end of the 6 month study period to look at differences in quality of life and knowledge of AF.
Status | Active, not recruiting |
Enrollment | 264 |
Est. completion date | September 2020 |
Est. primary completion date | July 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Males and females (English or Spanish speaking) age = 18 years with a history of AF in the last 30 days that was treated with normal rhythm restored. - Ability to successfully use the AliveCor™ Heart Monitor, capture a baseline ECG, and transmit on the day of enrollment - Demonstrated ability to receive, read, and send a text messages on the day of enrollment - Willingness to complete the study questionnaires at baseline and 6 months Exclusion Criteria: - Documented permanent (chronic) AF - Patient found to be in AF or other rhythm disturbances on the day of enrollment (i.e., they need to be clinically evaluated or treated) - Unwillingness have their clinical data collected over the study period - Unwillingness to receive and read cardiovascular text messaging three times a week. |
Country | Name | City | State |
---|---|---|---|
United States | Columbia University Medical Center | New York | New York |
Lead Sponsor | Collaborator |
---|---|
Columbia University |
United States,
Goldenthal IL, Sciacca RR, Riga T, Bakken S, Baumeister M, Biviano AB, Dizon JM, Wang D, Wang KC, Whang W, Hickey KT, Garan H. Recurrent atrial fibrillation/flutter detection after ablation or cardioversion using the AliveCor KardiaMobile device: iHEART r — View Citation
Hickey KT, Hauser NR, Valente LE, Riga TC, Frulla AP, Masterson Creber R, Whang W, Garan H, Jia H, Sciacca RR, Wang DY. A single-center randomized, controlled trial investigating the efficacy of a mHealth ECG technology intervention to improve the detection of atrial fibrillation: the iHEART study protocol. BMC Cardiovasc Disord. 2016 Jul 16;16:152. doi: 10.1186/s12872-016-0327-y. — View Citation
Hickey KT, Riga TC, Mitha SA, Reading MJ. Detection and management of atrial fibrillation using remote monitoring. Nurse Pract. 2018 Mar 12;43(3):24-30. doi: 10.1097/01.NPR.0000530214.17031.45. Review. — View Citation
Hickey KT. Developing and Sustaining a Career as a Transdisciplinary Nurse Scientist. J Nurs Scholarsh. 2018 Jan;50(1):20-27. doi: 10.1111/jnu.12359. Epub 2017 Nov 14. Review. — View Citation
Reading M, Baik D, Beauchemin M, Hickey KT, Merrill JA. Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers. Appl Clin Inform. 2018 Oct;9(4):772-781. doi: 10.1055/s-0038-1672138. Epub 2018 Oct 10. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Rate of recurrence of atrial arrhythmias | Examine the rate of recurrent atrial arrhythmias between the intervention and control group during the study period. The investigators will define and calculate recurrent AF detection rate as the ratio of the number of recurrent AF episodes to the number of person-months of follow-ups. | Six months | |
Primary | Difference in treatment outcomes initiated by recurrence | Examine the type of treatment and time-to-treatment for recurrent atrial arrhythmias between the intervention and control group. For those who are treated for recurrent AF, the time-to-treatment is the time from beginning of study to the time of treatment. | Six months | |
Secondary | Difference in Mean Quality-Adjusted Life-Years between Groups | Calculate the mean quality-adjusted life-years (QALYs) in those in the iHEART intervention as compared to the control group during the six month study period. Quality-adjusted life-years (QALYs) is calculated as follows: for each month of life lived at an EQ-5D index of x, the QALYs will be x/12=0.0833x years. The investigators will calculate QALYs during the 6-month study period for all patients by summarizing QALYs from baseline through six months. | Six Months | |
Secondary | Change in Atrial Fibrillation Knowledge Scale (AFKS) Scores between Baseline and Six Months Chronic Cardiovascular Conditions | Correlation between educational text messaging and participation in intervention on AF knowledge will be determined by comparing the change in mean scores between groups from the Atrial Fibrillation Knowledge Scale (AFKS) from baseline to 6 months. The AFKS is an 11-item scale including questions about AF in general, symptom recognition, and treatment and is validated (Cronbach a 0.58) to differentiate between knowledge changes in patients with AF. | Six months |
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