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Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme
UMass Center for Clinical and Translational Science Supported Publications
  • Apurv Soni, University of Massachusetts Medical School
  • Nisha Fahey, Des Moines University - Osteopathic Medical Center
  • Shyamsundar Raithatha, University of Massachusetts Medical School
  • Anna Handorf, University of Massachusetts Medical School
  • John Bostrom, University of Massachusetts Medical School
  • Ravi Shah, University of Massachusetts Medical School
  • Robert J. Goldberg, University of Massachusetts Medical School
  • Jeroan J. Allison, University of Massachusetts Medical School
  • David D. McManus, University of Massachusetts Medical School
UMMS Affiliation
Department of Quantitative Health Sciences; School of Medicine; Department of Pediatrics; Community Extension; Department of Medicine, Division of Cardiovascular Medicine
Publication Date
2017-12-14
Document Type
Article
Abstract

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.

Keywords
  • UMCCTS funding,
  • cardiac epidemiology,
  • public health,
  • valvular heart disease
Rights and Permissions
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.
DOI of Published Version
10.1136/bmjopen-2017-017668
Source

BMJ Open. 2017 Dec 14;7(12):e017668. doi: 10.1136/bmjopen-2017-017668. Link to article on publisher's site

Comments

Full list of authors omitted for brevity. For full list see article.

Apurv Soni is a medical student at UMass Medical School.

Related Resources

Link to Article in PubMed

PubMed ID
29247089
Creative Commons License
Creative Commons Attribution-Noncommercial 4.0
Citation Information
Apurv Soni, Nisha Fahey, Shyamsundar Raithatha, Anna Handorf, et al.. "Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme" Vol. 7 Iss. 12 (2017) ISSN: 2044-6055 (Linking)
Available at: http://works.bepress.com/jeroan_allison/273/