Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme
IntroductionAtrial 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,...
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creator | Soni, Apurv Karna, Sunil Patel, Harshil Fahey, Nisha Raithatha, Shyamsundar Handorf, Anna Bostrom, John Bashar, Syed Talati, Kandarp Shah, Ravi Goldberg, Robert J Thanvi, Sunil Phatak, Ajay Gajanan Allison, Jeroan J Chon, Ki Nimbalkar, Somashekhar Marutirao McManus, David D |
description | IntroductionAtrial 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.MethodsThis 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 planAge-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 disseminationThis 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. |
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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.MethodsThis 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 planAge-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 disseminationThis 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.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2017-017668</identifier><identifier>PMID: 29247089</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><subject>Algorithms ; Automation ; Cardiac arrhythmia ; Cardiovascular disease ; Collaboration ; Community ; Epidemiology ; Feasibility studies ; Global Health ; Heart ; Medical equipment ; Medical referrals ; Prevention ; Public health ; Smartphones ; Stroke</subject><ispartof>BMJ open, 2017-12, Vol.7 (12), p.e017668-e017668</ispartof><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><rights>2017 Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. 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. See: http://creativecommons.org/licenses/by-nc/4.0/ Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-b240t-91fff512d61b511d53d3c74f1c911729542c6e9e5da50f8e614455dbd326ca403</cites><orcidid>0000-0002-8876-8684 ; 0000-0001-5049-3657</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bmjopen.bmj.com/content/7/12/e017668.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttp://bmjopen.bmj.com/content/7/12/e017668.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27528,27529,27903,27904,53769,53771,77347,77378</link.rule.ids></links><search><creatorcontrib>Soni, Apurv</creatorcontrib><creatorcontrib>Karna, Sunil</creatorcontrib><creatorcontrib>Patel, Harshil</creatorcontrib><creatorcontrib>Fahey, Nisha</creatorcontrib><creatorcontrib>Raithatha, Shyamsundar</creatorcontrib><creatorcontrib>Handorf, Anna</creatorcontrib><creatorcontrib>Bostrom, John</creatorcontrib><creatorcontrib>Bashar, Syed</creatorcontrib><creatorcontrib>Talati, Kandarp</creatorcontrib><creatorcontrib>Shah, Ravi</creatorcontrib><creatorcontrib>Goldberg, Robert J</creatorcontrib><creatorcontrib>Thanvi, Sunil</creatorcontrib><creatorcontrib>Phatak, Ajay Gajanan</creatorcontrib><creatorcontrib>Allison, Jeroan J</creatorcontrib><creatorcontrib>Chon, Ki</creatorcontrib><creatorcontrib>Nimbalkar, Somashekhar Marutirao</creatorcontrib><creatorcontrib>McManus, David D</creatorcontrib><title>Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme</title><title>BMJ open</title><description>IntroductionAtrial 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.MethodsThis 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 planAge-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 disseminationThis 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.</description><subject>Algorithms</subject><subject>Automation</subject><subject>Cardiac arrhythmia</subject><subject>Cardiovascular disease</subject><subject>Collaboration</subject><subject>Community</subject><subject>Epidemiology</subject><subject>Feasibility studies</subject><subject>Global Health</subject><subject>Heart</subject><subject>Medical equipment</subject><subject>Medical referrals</subject><subject>Prevention</subject><subject>Public health</subject><subject>Smartphones</subject><subject>Stroke</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkd1q3DAQhUVpaUKaJ-iNoDfphVP92lYvCkvoTyChkN1eC1kab7RYkivbgX2TPm612aW0FQjNMIePozkIvaXkmlJef-jCLo0QK0ZoU5Vb1-0LdM6IEFVNpHz5V32GLqdpR8oRUknJXqMzpphoSKvO0a_1vLg9HnOak00D7lPG62DyPD6mCPg-RT-n7OP2ebKaszdF5Lvsh8HMPkXsI34AM1QbH-DQ3EbnDb5a368eNtVz8_4jNtimEJYC21edmcDhyWaAeACb6HCGHnIu6GJkm00I8Aa96s0wweXpvUA_vnze3Hyr7r5_vb1Z3VUdE2SuFO37XlLmatpJSp3kjttG9NQqShumpGC2BgXSGUn6FmoqhJSuc5zV1gjCL9CnI3dcugDOQpyLDz1mX7aw18l4_e8k-ke9TU9aNrwmnBbA1QmQ088FplkHP1ko64mQlklT1TRNS0XLi_Tdf9JdWnIs39OMKCWYErwtquujqmT8xwcl-pC7PuWuD7nrY-78N5J_oms</recordid><startdate>20171214</startdate><enddate>20171214</enddate><creator>Soni, Apurv</creator><creator>Karna, Sunil</creator><creator>Patel, Harshil</creator><creator>Fahey, Nisha</creator><creator>Raithatha, Shyamsundar</creator><creator>Handorf, Anna</creator><creator>Bostrom, John</creator><creator>Bashar, Syed</creator><creator>Talati, Kandarp</creator><creator>Shah, Ravi</creator><creator>Goldberg, Robert J</creator><creator>Thanvi, Sunil</creator><creator>Phatak, Ajay Gajanan</creator><creator>Allison, Jeroan J</creator><creator>Chon, Ki</creator><creator>Nimbalkar, Somashekhar Marutirao</creator><creator>McManus, David D</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8876-8684</orcidid><orcidid>https://orcid.org/0000-0001-5049-3657</orcidid></search><sort><creationdate>20171214</creationdate><title>Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme</title><author>Soni, Apurv ; Karna, Sunil ; Patel, Harshil ; Fahey, Nisha ; Raithatha, Shyamsundar ; Handorf, Anna ; Bostrom, John ; Bashar, Syed ; Talati, Kandarp ; Shah, Ravi ; Goldberg, Robert J ; Thanvi, Sunil ; Phatak, Ajay Gajanan ; Allison, Jeroan J ; Chon, Ki ; Nimbalkar, Somashekhar Marutirao ; McManus, David D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b240t-91fff512d61b511d53d3c74f1c911729542c6e9e5da50f8e614455dbd326ca403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Automation</topic><topic>Cardiac arrhythmia</topic><topic>Cardiovascular disease</topic><topic>Collaboration</topic><topic>Community</topic><topic>Epidemiology</topic><topic>Feasibility studies</topic><topic>Global Health</topic><topic>Heart</topic><topic>Medical equipment</topic><topic>Medical referrals</topic><topic>Prevention</topic><topic>Public health</topic><topic>Smartphones</topic><topic>Stroke</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soni, Apurv</creatorcontrib><creatorcontrib>Karna, Sunil</creatorcontrib><creatorcontrib>Patel, Harshil</creatorcontrib><creatorcontrib>Fahey, Nisha</creatorcontrib><creatorcontrib>Raithatha, Shyamsundar</creatorcontrib><creatorcontrib>Handorf, Anna</creatorcontrib><creatorcontrib>Bostrom, John</creatorcontrib><creatorcontrib>Bashar, Syed</creatorcontrib><creatorcontrib>Talati, Kandarp</creatorcontrib><creatorcontrib>Shah, Ravi</creatorcontrib><creatorcontrib>Goldberg, Robert J</creatorcontrib><creatorcontrib>Thanvi, Sunil</creatorcontrib><creatorcontrib>Phatak, Ajay Gajanan</creatorcontrib><creatorcontrib>Allison, Jeroan J</creatorcontrib><creatorcontrib>Chon, Ki</creatorcontrib><creatorcontrib>Nimbalkar, Somashekhar Marutirao</creatorcontrib><creatorcontrib>McManus, David 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Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soni, Apurv</au><au>Karna, Sunil</au><au>Patel, Harshil</au><au>Fahey, Nisha</au><au>Raithatha, Shyamsundar</au><au>Handorf, Anna</au><au>Bostrom, John</au><au>Bashar, Syed</au><au>Talati, Kandarp</au><au>Shah, Ravi</au><au>Goldberg, Robert J</au><au>Thanvi, Sunil</au><au>Phatak, Ajay Gajanan</au><au>Allison, Jeroan J</au><au>Chon, Ki</au><au>Nimbalkar, Somashekhar Marutirao</au><au>McManus, David D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme</atitle><jtitle>BMJ open</jtitle><date>2017-12-14</date><risdate>2017</risdate><volume>7</volume><issue>12</issue><spage>e017668</spage><epage>e017668</epage><pages>e017668-e017668</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>IntroductionAtrial 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.MethodsThis 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 planAge-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 disseminationThis 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.</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><pmid>29247089</pmid><doi>10.1136/bmjopen-2017-017668</doi><orcidid>https://orcid.org/0000-0002-8876-8684</orcidid><orcidid>https://orcid.org/0000-0001-5049-3657</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Automation Cardiac arrhythmia Cardiovascular disease Collaboration Community Epidemiology Feasibility studies Global Health Heart Medical equipment Medical referrals Prevention Public health Smartphones Stroke |
title | Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme |
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