Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme
Authors
Soni, ApurvFahey, Nisha
Raithatha, Shyamsundar
Handorf, Anna
Bostrom, John
Shah, Ravi
Goldberg, Robert J.
Allison, Jeroan J.
McManus, David D.
UMass Chan Affiliations
Department of Medicine, Division of Cardiovascular MedicineCommunity Extension
Department of Pediatrics
School of Medicine
Department of Quantitative Health Sciences
Document Type
Journal ArticlePublication Date
2017-12-14Keywords
UMCCTS fundingcardiac epidemiology
public health
valvular heart disease
Cardiology
Cardiovascular Diseases
Clinical Epidemiology
Epidemiology
Telemedicine
Translational Medical Research
Metadata
Show full item recordAbstract
INTRODUCTION: Atrial fibrillation (AF), the world's most common arrhythmia, often goes undetected and untreated in low-resource communities, including India, where AF epidemiology is undefined. AF is an important risk factor for stroke, which plagues an estimated 1.6 million Indians annually. As such, early detection of AF and management of high-risk patients is critically important to decrease stroke burden in individuals with AF. This study aims to describe the epidemiology of AF in Anand District, Gujarat, India, characterise the clinical profile of individuals who are diagnosed with AF and determine the performance of two mobile technologies for community-based AF screening. METHODS: This observational study builds on findings from a previous feasibility study and leverages two novel technologies as well as an existing community health programme to perform door-to-door AF screening for 2000 people from 60 villages of Anand District, Gujarat, India using local health workers. A single-lead ECG and a pulse-based application is used to screen each individual for AF three times over a period of 5 days. Participants with suspected arrhythmias are followed up by study cardiologist who makes final diagnoses. Participants diagnosed with AF are initiated on treatment based on current anticoagulation guidelines and clinical reasoning. ANALYTICAL PLAN: Age-stratified and sex-stratified prevalence of AF in the Anand District will be calculated for sample and estimated for Anand distribution using survey design weights. Sociodemographic and clinical factors associated with AF will be evaluated using multivariable regression methods. Performance of each mobile technology in detecting AF will be evaluated using a 12-lead ECG interpretation as the gold standard. ETHICS AND DISSEMINATION: This protocol was approved separately by the Institutional Review Board of University of Massachusetts Medical School and the Human Research Ethics Committee at Charutar Arogya Mandal. The findings of this study will be disseminated through peer-reviewed journals and scientific conferences.Source
BMJ Open. 2017 Dec 14;7(12):e017668. doi: 10.1136/bmjopen-2017-017668. Link to article on publisher's site
DOI
10.1136/bmjopen-2017-017668Permanent Link to this Item
http://hdl.handle.net/20.500.14038/50297PubMed ID
29247089Notes
Full list of authors omitted for brevity. For full list see article.
Apurv Soni is a medical student at UMass Medical School.
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Copyright © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.Distribution License
http://creativecommons.org/licenses/by-nc/4.0/ae974a485f413a2113503eed53cd6c53
10.1136/bmjopen-2017-017668
Scopus Count
Except where otherwise noted, this item's license is described as Copyright © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.