<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="other" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.125369.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Study Protocol</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>A scoping review protocol on diagnostic and treatment costs of cardiovascular disease management in India</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Tasneem</surname>
                        <given-names>Shaik Husna</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Dhanal</surname>
                        <given-names>Mehnaaz M.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Renjith</surname>
                        <given-names>Merin</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Subramanian</surname>
                        <given-names>Raveesh</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Dhyani</surname>
                        <given-names>Vijay Shree</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8476-0757</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Krishnan</surname>
                        <given-names>Jisha B.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5707-7584</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Pundir</surname>
                        <given-names>Prachi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sirur</surname>
                        <given-names>Andria J.N.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Rajendran</surname>
                        <given-names>Ambigai</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4128-6848</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Health Economics, Department of Commerce, Manipal Academy of Higher Education, Manipal, Udupi, Karnataka, 576104, India</aff>
                <aff id="a2">
                    <label>2</label>Public Health Evidence South Asia (PHESA), Prasanna School of Public Health (PSPH), Manipal, Karnataka, 576104, India</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:ambigai.sivakumar@manipal.edu">ambigai.sivakumar@manipal.edu</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>18</day>
                <month>11</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>1345</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>7</day>
                    <month>10</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Tasneem SH et al.</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/11-1345/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Cardiovascular disease (CVD) is a leading cause of mortality in India. Economic threats due to CVDs have surged, as diagnostic and treatment costs are out-of-pocket expenses. The increasing prevalence of CVDs in India is due to globalization, industrialization, aging, tobacco and alcohol consumption, diet, and sleep patterns. This scoping review provides a summary of the costs incurred in diagnosing and treating CVDs in India.</p>
                <p>
                    <bold>Methods:</bold> The JBI updated methodology aligned with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR) will guide this scoping review. Searches will be conducted on PubMed, Scopus, Cochrane Library, Embase, Econ Papers, and ProQuest databases. Google Scholar and Shodhganga will be used to search for relevant gray literature. Bibliographic mining will be performed to identify additional relevant studies. The literature published from 2000 onwards will be the primary focus. All direct and indirect costs for the diagnosis and treatment of CVDs across various levels of healthcare settings will be included. A two-stage independent screening, consisting of title and abstract screening, followed by full-text screening, will be conducted to identify eligible articles. Data will be extracted from full-text studies using a customized data extraction form. The results will be compiled and presented in the scoping review performed.</p>
                <p>
                    <bold>Ethics and dissemination:</bold> A conference presentation and scientific peer-reviewed journal publication will be the sources for disseminating the review results. This study does not require an ethics review because publicly available sources were used to retrieve data.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>cardiovascular disease</kwd>
                <kwd>heart attack</kwd>
                <kwd>hypertension</kwd>
                <kwd>stroke</kwd>
                <kwd>cost analysis</kwd>
                <kwd>cost utility</kwd>
                <kwd>cost effectiveness</kwd>
                <kwd>cost</kwd>
                <kwd>health care cost</kwd>
                <kwd>direct cost</kwd>
                <kwd>indirect cost</kwd>
                <kwd>cost of illness</kwd>
                <kwd>medical cost</kwd>
                <kwd>non-medical cost</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Non-communicable diseases (NCDs) are chronic in nature (
                <ext-link ext-link-type="uri" xlink:href="https://www.gacd.org/about/what-we-do/what-are-ncds/key-facts-and-figures">Chronic diseases fact sheet, GACD</ext-link>), accounting for approximately 70% (41 million) of deaths globally (Noncommunicable diseases, WHO; 
                <ext-link ext-link-type="uri" xlink:href="https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases">Noncommunicable diseases Fact sheet, WHO</ext-link>). The global burden of NCDs increased briskly with a proportional rise attributed to cardiovascular diseases (CVDs) (
                <xref ref-type="bibr" rid="ref16">Prabhakaran, Jeemon, and Roy, 2016</xref>) and would further increase to 55 million by 2030 if interventions were not opportune (
                <ext-link ext-link-type="uri" xlink:href="https://www.nhp.gov.in/healthlyliving/ncd2019">Non-communicable Diseases, National Health Portal Of India</ext-link>). India recorded 63% of NCD fatalities in 2016, of which 27% were attributable to CVDs (
                <ext-link ext-link-type="uri" xlink:href="https://www.who.int/india/health-topics/cardiovascular-diseases">Cardiovascular diseases in India, WHO</ext-link>). The World Health Organization (WHO) recommends a country-level target to reduce NCDs by 25% by 2025 and premature deaths by 33% by 2030. This can also prevent additional burden on healthcare costs and assist in attaining sustainable developmental goals (SDGs) (
                <xref ref-type="bibr" rid="ref5">Cobiac and Scarborough, 2017</xref>).</p>
            <p>The prevalence of CVDs was estimated to be 271 million worldwide in 1990, and this value doubled to 523 million in 2019. During the same period, the number of CVD-related deaths due to CVD increased from 12.1 million to 18.6 million (
                <xref ref-type="bibr" rid="ref19">Roth 
                    <italic toggle="yes">et al.</italic>, 2020</xref>).</p>
            <p>WHO's action plan aspires to counter the CVD epidemic by encouraging research work, reducing, monitoring and modifying determinants and risk factors and integrating disease prevention programs and controlling local policies under global strategy for the prevention and control of NCDs (
                <ext-link ext-link-type="uri" xlink:href="http://apps.who.int/iris/bitstream/handle/10665/44009/9789241597418_eng.pdf;jsessionid=A8BB42193A94A6817920ABE5D66EC815?sequence=1">2008-2013 Action Plan for the Global Strategy for the Prevention and Control of Noncommunicable Diseases, WHO</ext-link>). Low- and middle-income countries (LMICs) contributes to more than three-quarter of the world&#x2019;s fatalities due to CVDs, which is attributed to insufficiency in primary healthcare services and the absence of robust universal health coverage (UHC) systems 
                <ext-link ext-link-type="uri" xlink:href="https://www.who.int/en/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)">(CVDs Fact sheet, WHO</ext-link>). Out of the three-quarter deaths, around 40% fatalities are considered as premature. There is a need for sufficient data to support the likelihood that genetic, cultural, and environmental variations exist in the causes of CVDs by race and ethnicity. These variations should be considered when developing strategies for CVD prevention and treatment (
                <xref ref-type="bibr" rid="ref2">Anand, Bradshaw, and Prabhakaran, 2020</xref>). Prominent unified factors, including economic, political, and cultural globalization, industrialization, and rapid urbanization are significant contributors to the increasing prevalence of CVDs in India. In addition, elevated levels of stress, inadequate physical activity, debilitated food and sleep patterns, heightened alcohol consumption, cigarette and tobacco smoking, and periodic sedentary lifestyles also pose significant risks (
                <xref ref-type="bibr" rid="ref17">Prabhakaran and Yusuf, 2010</xref>). Lack of surveillance systems and proper and prompt diagnosis also contribute to the increasing prevalence of CVDs in India (
                <xref ref-type="bibr" rid="ref12">Nag and Ghosh, 2013</xref>).</p>
            <p>In 2016, the estimated prevalence of CVDs in India was 54.5 million cases. One in four deaths in India is attributed to CVDs, especially coronary artery disease and stroke, which accounts for greater than 80% of the burden of CVDs in India (
                <xref ref-type="bibr" rid="ref1">Abdul-Aziz 
                    <italic toggle="yes">et al.</italic>, 2019</xref>). Maximum number of cases are recorded in the Indian states of Kerala, Punjab, Tamil Nadu, Maharashtra, Andhra Pradesh, Himachal Pradesh, West Bengal, and Goa (
                <xref ref-type="bibr" rid="ref15">Prabhakaran 
                    <italic toggle="yes">et al.</italic>, 2018</xref>). Untimely mortality in India was 23.2 million in 1990, it increased by 59% to 37 million in 2010 because of CVDs (
                <xref ref-type="bibr" rid="ref16">Prabhakaran, Jeemon, and Roy, 2016</xref>). Policy makers in India are hopeful that untimely deaths due to CVDs can be reduced by 25% with the implementation of national policies by 2025 (
                <xref ref-type="bibr" rid="ref15">Prabhakaran 
                    <italic toggle="yes">et al.</italic>, 2018</xref>). The number of deaths and number of hospitalizations due to CVDs in India was estimated at 1.4 million and 6.7 million in 2004 and it is expected to go up to 2.1 million and 10.9 million in 2021, respectively. Most of the hospitalized population belongs to the age group between 25 and 59 years (
                <xref ref-type="bibr" rid="ref20">Srivastava and Mohanty, 2013</xref>). The estimated death rate attributed to CVDs in India was 256 per 1,00,000 population in 2019, which is more than double that of Japan, the country with the lowest death rate (77 per 1,00,000 population) 
                <ext-link ext-link-type="uri" xlink:href="https://vizhub.healthdata.org/gbd-compare/">(GBD Compare, IHME Viz Hub</ext-link>).</p>
            <p>Every year, approximately 150 million people face financial emergencies owing to healthcare payments. Developing countries have meagre budgets for healthcare and are overly reliant on out-of-pocket health spending when compared to developed countries, which have a tax-funded health system or social health insurance schemes (
                <xref ref-type="bibr" rid="ref6">Ezat Wan Puteh and Almualm, 2017</xref>). In 2010, the total cost related to medical care of CVDs was approximately USD 7.5 billion in India (
                <xref ref-type="bibr" rid="ref13">Patel 
                    <italic toggle="yes">et al.</italic>, 2020</xref>).</p>
            <p>The estimated hospitalization cost for CVDs was INR 94 billion in 2004 and it is expected to project at INR 152 billion by 2021 (
                <xref ref-type="bibr" rid="ref15">Prabhakaran 
                    <italic toggle="yes">et al.</italic>, 2018</xref>). Prior studies on out-of-pocket expenditure (OOPE) in India have revealed that the hospitalization cost of CVDs could be five times higher in a private setting as opposed to a public one (
                <xref ref-type="bibr" rid="ref18">Prinja 
                    <italic toggle="yes">et al.</italic>, 2019</xref>). The estimated health care cost of CVDs was INR 8,483 (USD 114) in 2004&#x2013;2005, which rose to INR 14,380 (USD 194) in 2011&#x2013;2012 (
                <xref ref-type="bibr" rid="ref13">Patel 
                    <italic toggle="yes">et al.</italic>, 2020</xref>). Mean OOPE with respect to a specific disease and catastrophic health expenditure with relation to hospitalization in India was around INR 19,210 (the OOPE for heart diseases was approximately INR 40,947 (USD 552) in 2018 (
                <xref ref-type="bibr" rid="ref8">Kastor and Mohanty, 2018</xref>). The poor and marginalized sections of the society are the predominant sections affected by OOPE for CVD treatment (
                <xref ref-type="bibr" rid="ref21">Thakur 
                    <italic toggle="yes">et al.</italic>, 2011</xref>).</p>
            <p>To reduce the total economic burden, the Government of India (GOI) introduced Ayushman Bharat Yojana (ABY), a national health protection mission, in early 2018. This health insurance program is expected to benefit around half a billion poor and vulnerable families 
                <ext-link ext-link-type="uri" xlink:href="https://www.macroscan.org/pol/feb19/pol20022019Ayushman_Bharat.htm">(Chowdhury and Mukherjee 2019, Macroscan</ext-link>). GOI is primarily focusing on addressing the increasing damage because of NCDs (
                <xref ref-type="bibr" rid="ref4">Bhargava and Paul, 2020</xref>). A total of 150,000 Health and Wellness Centers are proposed to be established across India to give complete primary health-care services that are equivalent to the preeminent causes of huge burden of disease, including CVDs and other NCDs 
                <ext-link ext-link-type="uri" xlink:href="https://www.nhm.gov.in/New_Updates_2018/NHM_Components/Health_System_Stregthening/Comprehensive_primary_health_care/letter/Operational_Guidelines_For_CPHC.pdf">(AYUSHMAN BHARAT Comprehensive Primary Health Care through Health and Wellness Centers Operational Guidelines</ext-link>). Along with that it is expected to transform the grass root structure of primary, secondary, and tertiary health care systems in India (
                <xref ref-type="bibr" rid="ref23">Verma, 2019</xref>). By ensuring access to quality health care and financial protection, India is perpetrated in achieving UHC for all by 2030 with ABY as an embryonic stride towards it 
                <ext-link ext-link-type="uri" xlink:href="https://www.niti.gov.in/long-road-universal-health-coverage">(The long road to universal health coverage, NITI Aayog</ext-link>). Over the past few decades, CVDs have become a leading cause of mortality, causing a huge social and economic menace. The concept of UHC and insurance is growing constantly, but it is still a long way away to realize its potential, and to achieve this, there needs to be enormous stakeholder collaboration. Although research has been conducted on the costs of CVDs in India, a systematic or scoping review providing a comprehensive summary of the associated costs across various levels and sectors does not exist.</p>
            <p>Thus, there is a need to synthesize evidence on this subject. To address this, a scoping review of peer-reviewed, non-peer-reviewed, and grey literature articles indicating the cost of CVDs is planned.</p>
            <p>The objective of this review is to summarize the estimated costs associated with CVD care management in India with the available evidence and identify gaps in the literature. This study also aims to report the predominance of out-of-pocket spending and the economic burden of managing CVDs in India. This may aid policymakers in framing appropriate schemes to reduce OOPE and to encourage UHC. This study indirectly projects the potential impacts on inequalities in healthcare and strengthens the knowledge base for UHC in India.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Protocol design</title>
                <p>Methods for this scoping review will follow the updated JBI methodology for scoping reviews (
                    <ext-link ext-link-type="uri" xlink:href="https://nursing.lsuhsc.edu/JBI/docs/ReviewersManuals/Scoping-.pdf">The Joanna Briggs Institute Reviewers&#x2019; Manual 2015 Methodology for JBI Scoping Reviews</ext-link>) along with Arksey and O'Malley's scoping review methodology (
                    <xref ref-type="bibr" rid="ref3">Arksey and O&#x2019;Malley, 2005</xref>) and Levac 
                    <italic toggle="yes">et al.</italic> (
                    <xref ref-type="bibr" rid="ref9">Levac, Colquhoun, and O&#x2019;Brien, 2010</xref>) enhanced framework methods. The current protocol follows the Preferred Reporting Items for Systematic review and Meta-Analysis Protocol (PRISMA-P) (
                    <xref ref-type="bibr" rid="ref11">Moher 
                        <italic toggle="yes">et al.</italic>, 2016</xref>) and the future scoping review will follow the PRISMA for Scoping Reviews (PRISMA-ScR) (
                    <xref ref-type="bibr" rid="ref22">Tricco 
                        <italic toggle="yes">et al.</italic>, 2018</xref>). The scoping review will be carried out in five distinct stages:
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>Identification of the research question</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Identifying relevant studies</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>Selection of eligible studies</p>
                        </list-item>
                        <list-item>
                            <label>4.</label>
                            <p>Data extraction and charting</p>
                        </list-item>
                        <list-item>
                            <label>5.</label>
                            <p>Collating, summarizing, and reporting the results</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec4">
                <title>Stage 1: Identification of the research question</title>
                <p>The broad question that directs this review is: what are the costs incurred for the diagnosis and treatment of CVDs in India? This review will elucidate relevant concepts by delineating and clarifying them, identifying research gaps, and reporting the most important evidence available to address and inform practice.</p>
            </sec>
            <sec id="sec5">
                <title>Stage 2: Study identification</title>
                <p>
                    <italic toggle="yes">Inclusion criteria</italic>
                </p>
                <p>The literature published in English language from 2000 onwards will be considered in the scoping review. The population, concept, and context (PCC) frameworks will guide the inclusion and exclusion criteria for this review. 
                    <xref ref-type="table" rid="T1">Table 1</xref> summarizes the PCC framework that we will use for study selection.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>PCC framework (inclusion criteria) for study selection.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Criteria</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Determinants</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Population</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Participants with borderline or established CVDs</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Concept</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cost associated with CVD management</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Context</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">India</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>PCC, population, concept, and context; CVD, cardiovascular disease.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>
                    <italic toggle="yes">Population</italic>
                </p>
                <p>Studies that include participants/patients/individuals with borderline or established CVDs of any age in India will be included. As per the types given by WHO, the CVDs include cerebrovascular disease, coronary heart disease (CHD), congenital heart disease, peripheral vascular disease, deep vein thrombosis and pulmonary disease, rheumatic heart disease, their synonyms and commonly used terms will be included for the review 
                    <ext-link ext-link-type="uri" xlink:href="https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)">(CVDs Fact sheet, WHO</ext-link>).</p>
                <p>
                    <italic toggle="yes">Concept</italic>
                </p>
                <p>The main concept of this review includes the direct and indirect costs incurred in the management of CVDs in India. This includes direct medical and non-medical costs, along with indirect costs. Direct medical costs include physician visits, emergency room services, and medications, while direct non-medical costs involve food, accommodation, and travel. Indirect costs include the loss of earnings, time, and productivity loss of both patients and their caregivers while seeking medical care (
                    <xref ref-type="bibr" rid="ref7">Ibrahim, Pozo-Martin, and Gilbert, 2015</xref>). In this review, the direct costs for common diagnostic programs such as blood pressure (BP), fasting lipoprotein profile, body mass index (BMI), blood glucose test, electrocardiogram (ECG), exercise stress test, echocardiogram, nuclear cardiac stress test, abdominal and carotid ultrasound, coronary angiogram, magnetic resonance image (MRI), and coronary computed tomography angiogram (CCTA) will be included 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ucsfhealth.org/education/diagnosing-heart-disease">(Diagnosing Heart Disease, Patient Education, UCSF Health</ext-link>), 
                    <ext-link ext-link-type="uri" xlink:href="https://www.heart.org/en/health-topics/heart-attack/treatment-of-a-heart-attack/cardiac-procedures-and-surgeries">(Heart Procedures and Surgeries, American Heart Association</ext-link>), 
                    <ext-link ext-link-type="uri" xlink:href="https://www.healthywa.wa.gov.au/Articles/A_E/Common-medical-tests-to-diagnose-heart-conditions">(Common medical tests to diagnose heart conditions, National Heart Foundation of Australia</ext-link>). Common treatment costs such as hospital costs, drug therapy, surgical procedures such as angioplasty, coronary artery bypass surgery (CABG), pacemakers, heart valve surgery, cardiomyoplasty, heart transplant, implantable cardioverter defibrillator, and rehabilitation costs will also be included, and many others will be premeditated and incorporated 
                    <ext-link ext-link-type="uri" xlink:href="https://www.healthywa.wa.gov.au/Articles/A_E/Common-medical-tests-to-diagnose-heart-conditions">(Common medical tests to diagnose heart conditions, National Heart Foundation of Australia</ext-link>), 
                    <ext-link ext-link-type="uri" xlink:href="https://www.nhs.uk/conditions/coronary-heart-disease/treatment/">(Coronary heart disease, Treatment, NHS</ext-link>), 
                    <ext-link ext-link-type="uri" xlink:href="https://www.heart.org/en/health-topics/heart-attack/treatment-of-a-heart-attack/cardiac-procedures-and-surgeries">(Heart Procedures and Surgeries, American Heart Association</ext-link>). The diagnostic and treatment programs will be amended subsequently based on the studies. Other related costs will also be included and assessed. OOPE summarizes the cost borne by patients, in addition to the costs covered by a social security scheme or insurance coverage (Burden of out-of-pocket health expenditure, OECD iLibrary, 2009; 
                    <xref ref-type="bibr" rid="ref10">Lorenzoni 
                        <italic toggle="yes">et al.</italic>, 2015</xref>).</p>
                <p>
                    <italic toggle="yes">Context</italic>
                </p>
                <p>This scoping review aims to determine the economic burden of CVDs in India. Therefore, studies on all types of CVDs in India will be considered. This review will consider studies conducted in any clinical setting (
                    <italic toggle="yes">e.g.</italic>, inpatient, outpatient) or healthcare facilities (
                    <italic toggle="yes">e.g.</italic>, hospitals, health centers, nursing homes).</p>
                <p>
                    <italic toggle="yes">Types of evidence sources</italic>
                </p>
                <p>The eligible studies include case-control studies, cohort studies, cross-sectional studies, randomized control trials (RCTs), non-RCTs, before-and-after studies, qualitative and quantitative studies, conference papers, and peer and non-peer review studies. Letters to the editor, editorials, commentary perspectives, and reviews will be excluded. Studies on co-occurring diseases and CVDs will also be included. Studies on CVD prevention costs will get excluded, based on the initial scoping process.</p>
                <p>
                    <italic toggle="yes">Search strategy</italic>
                </p>
                <p>A comprehensive search strategy was developed to retrieve both published and unpublished studies. A primary search of 
                    <ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/pubmed/">PubMed</ext-link> (RRID:SCR_004846) was performed to identify relevant articles. The keywords used to describe pertinent articles are listed and used to develop a full PubMed search. The search strategy will be customized and modified, consisting of all keywords and index terms using Boolean operators for 
                    <ext-link ext-link-type="uri" xlink:href="https://www.scopus.com/">Scopus</ext-link> (RRID:SCR_022559), 
                    <ext-link ext-link-type="uri" xlink:href="http://www.cochrane.org/reviews/clibintro.htm">Cochrane Library</ext-link> (RRID:SCR_013000), 
                    <ext-link ext-link-type="uri" xlink:href="http://www.elsevier.com/online-tools/embase">EMBASE</ext-link> (RRID:SCR_001650), 
                    <ext-link ext-link-type="uri" xlink:href="https://econpapers.repec.org/">EconPapers</ext-link>, and 
                    <ext-link ext-link-type="uri" xlink:href="http://www.proquest.com/en-US/">ProQuest</ext-link> (RRID:SCR_006093), followed by the PCC framework described in the JBI methodology for scoping reviews. The key terms will include &#x201c;cardiovascular disease&#x201d; &#x201c;coronary artery disease&#x201d; OR &#x201c;heart attack&#x201d; OR &#x201c;cardiomyopathy&#x201d; OR &#x201c;hypertension&#x201d; OR &#x201c;stroke&#x201d; OR &#x201c;peripheral artery disease&#x201d; OR &#x201c;congenital heart diseases&#x201d; OR &#x201c;rheumatic heart disease&#x201d; AND cost analysis&#x201d; OR &#x201c;cost utility&#x201d; OR &#x201c;cost effectiveness&#x201d; AND &#x201c;cost&#x201d; OR &#x201c;health care cost&#x201d; OR &#x201c;direct cost&#x201d; OR &#x201c;indirect cost&#x201d; OR &#x201c;cost of illness&#x201d; OR &#x201c;medical cost&#x201d; OR &#x201c;non-medical cost&#x201d;. We will manually search reference lists for additional pertinent studies. 
                    <ext-link ext-link-type="uri" xlink:href="http://scholar.google.com/">Google Scholar</ext-link> (RRID:SCR_008878) and 
                    <ext-link ext-link-type="uri" xlink:href="https://shodhganga.inflibnet.ac.in/">Shodhganga: A reservoir of Indian theses @ INFLIBNET</ext-link> will also be searched to locate grey literature. The authors of the studies will be contacted if any additional information is required. Example search strategy for PubMed is provided in 
                    <xref ref-type="table" rid="T2">Table 2</xref>.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Search strategy for PubMed.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top">Search string</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Hits</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#212121" style-type="color">1</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#212121" style-type="color">(((((((((((((((((((((((((((((((((cardiovascular diseases [Title/Abstract]) OR (CVDs [Title/Abstract])) OR (stroke [Title/Abstract])) OR (Cerebrovascular disease [Title/Abstract])) OR (cardiomyopathy [Title/Abstract])) OR (heart attack [Title/Abstract])) OR (coronary heart disease [Title/Abstract])) OR (Heart failure [Title/Abstract])) OR (hypertension [Title/Abstract])) OR (peripheral vascular disease [Title/Abstract])) OR (rheumatic heart disease [Title/Abstract])) OR (high blood pressure [Title/Abstract])) OR (congenital heart disease [Title/Abstract])) OR (Heart diseases [Text Word])) OR (Cerebrovascular accident [Text Word])) OR (heart muscle disease [Text Word])) OR (myocardial infarction [Text Word])) OR (coronary artery disease [Text Word])) OR (Ischemic heart disease [Text Word])) OR (Atherosclerotic heart disease [Text Word])) OR (congestive heart failure [Text Word])) OR (coronary thrombosis [Text Word])) OR (myocarditis [Text Word])) OR (angina [Text Word])) OR (Ischemic chest pain [Text Word])) OR (Valvular heart disease [Text Word])) OR (Electrocardiogram [Text Word])) OR (Electrocardiograph [Text Word])) OR (Coronary Angiogram [Text Word])) OR (coronary artery bypass surgery [Text Word])) OR (Coronary artery bypass grafting [Text Word])) OR (Pacemaker [Text Word])) OR (heart valve surgery [Text Word])) OR (stent implantation [Text Word])</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1,514,590</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#212121" style-type="color">2</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#212121" style-type="color">((((((((((((((((cost [Title/Abstract]) OR (out of pocket expenditure [Title/Abstract])) OR (Diagnostic cost [Title/Abstract])) OR (Treatment cost [Title/Abstract])) OR (economic burden of disease [Title/Abstract])) OR (pricing [Text Word])) OR (medical cost [Text Word])) OR (non-medical cost [Text Word])) OR (direct cost [Text Word])) OR (indirect cost [Text Word])) OR (disease cost [Text Word])) OR (cost of illness [Text Word])) OR (cost analysis [Text Word])) OR (cost effectiveness [Text Word])) OR (health care cost [Text Word])) OR (drug therapy cost [Text Word])) OR (hospital cost [Title/Abstract])</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">554,864</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#212121" style-type="color">3</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#212121" style-type="color">((((((((((india [Title/Abstract])) OR (bharat [Title/Abstract])) OR (hindustan [Title/Abstract])) OR (indian states [Title/Abstract])) OR (republic of india [Text Word])) OR (south asia [Text Word])) OR (the orient [Text Word])) OR (LMICs [Text Word]))) OR (low [Title/Abstract] AND middle income countries [Title/Abstract])</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">146,151</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#212121" style-type="color">#1 AND #2 AND #3</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">478</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec6">
                <title>Stage 3: Selection of eligible studies</title>
                <p>After completion of the searches, all identified citations will be collated and transferred to 
                    <ext-link ext-link-type="uri" xlink:href="https://www.zotero.org/">Zotero</ext-link> (RRID:SCR_013784) version 5.0, and duplicates will be removed. In accordance with the eligibility criteria, a two-stage screening process comprising (1) title and abstract screening and (2) full-text screening will be performed. The inclusion and exclusion criteria based on the PCC framework are listed in 
                    <xref ref-type="table" rid="T3">Table 3</xref>. The two stages followed an identical process, where every article will be independently reviewed in teams of two, and the results will be documented in 
                    <ext-link ext-link-type="uri" xlink:href="https://www.microsoft.com/en-gb/">Microsoft Excel</ext-link> (RRID:SCR_016137) spreadsheets. In conclusion, relevant sources will be retrieved. The selected full text will be reviewed in detail based on the eligibility criteria. Further ambiguities regarding the eligibility of an article will be labelled and discussed with a subject expert or a senior reviewer. The reasons for the exclusion of studies will be reported and recorded at the full-text screening stage.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Inclusion and exclusion criteria.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Criteria</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Inclusion criteria</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Exclusion criteria</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Population</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Participants of any age with borderline or established CVDs.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">None.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Concept</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">All the studies involving cost associated with CVD management that includes direct or indirect costs and OOPE.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Prevention cost of CVDs.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Context</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">India</td>
                                <td align="left" colspan="1" rowspan="1" valign="top"> Studies outside India or studies with a focus on LMICs or South Asia, where the costs are not provided separately for India.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Types of evidence sources</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Quantitative and qualitative study designs.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Reviews, letters to the editor, editorials, perspective papers, and commentaries.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Timeframe</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Studies in English language published from January 2000 onwards.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Non-English articles published before 2000.</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>CVD, cardiovascular disease; OOPE, out-of-pocket expenditure; LMIC, low- and middle-income countries.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec7">
                <title>Stage 4: Data extraction and charting</title>
                <p>Data from these studies will be independently extracted. A custom data extraction form developed by the research team, using Microsoft Excel as an abetting platform, will be used. The data extracted will capture study components such as author names, publication year, publication title, type of CVDs, intervention, target population, population excluded, study setting, study design, sample size, and diagnostic and treatment costs. The data extraction form will be pretested before implementation to ensure that it accurately captures imperative information. The necessary modifications will be made as required during the pilot process. A detailed explanation of all modifications will be provided in the scoping review. The resolution of the differences between the reviewers&#x2019; decisions will be discussed with a subject expert or a senior reviewer. 
                    <xref ref-type="table" rid="T4">Table 4</xref> lists the preliminary data extraction template used in this study.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>Data extraction form.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Citation information</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Title of the study</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Authors</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Year of publication</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Type and source of publication</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Author affiliation</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Contact information</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Study characteristics</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aim/Objectives of the study</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Study period</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Location (State where the study was conducted)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Type of CVDs</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Type of economic evaluation</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Years of data collection</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Study design</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Target population</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sample size</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sampling method</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Study perspective</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Setting</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Data sources</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cost/economic outcomes measured</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Currency of cost</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Key findings</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>CVD, cardiovascular disease.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec8">
                <title>Stage 5: Data analysis and reporting</title>
                <p>A PRISMA flow diagram will be used to report the screening process (
                    <xref ref-type="bibr" rid="ref11">Moher 
                        <italic toggle="yes">et al.</italic>, 2016</xref>). The flow diagram displays the decision-making process, as well as the outputs of the searches, elimination of duplicated citations, study selection, complete retrieval, additional bibliography mining, and presentation of the final summary. The results will be presented in graphical, tabular, and detailed descriptive compositions that align with the purpose and scope of this review. Descriptive statistics, such as frequencies and central measures of tendency and plots indicating concepts or aspects of population characteristics, will be used to report the number of studies, type of CVDs, treatment and diagnostic procedures, study type and design, and costs incurred (direct and indirect) either in diagrammatic or tabular arrangements (
                    <xref ref-type="bibr" rid="ref14">Peters 
                        <italic toggle="yes">et al.</italic>, 2015</xref>). Moreover, thematic and narrative approaches will also be incorporated for the analysis of quantitative and qualitative studies. The gaps and limitations in the current literature will be identified and summarized.</p>
            </sec>
            <sec id="sec9">
                <title>Study status</title>
                <p>Currently the authors are performing searches on all the electronic databases mentioned.</p>
            </sec>
        </sec>
        <sec id="sec10" sec-type="discussion">
            <title>Discussion</title>
            <p>This scoping review will provide a comprehensive rundown of cost induction for CVD care management in India and raise awareness among patients, clinicians, decision makers, and third-party payers about the economic burden of such chronic diseases. Along with this, one suggestion is to grasp health inequalities and the high priority of UHC for the Indian population.</p>
            <sec id="sec11">
                <title>Strengths and limitations of this study</title>
                <p>
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>This is the first scoping evaluation of the costs associated with managing CVDs in India.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>The current scoping study will employ eight electronic databases and tailored search terms that will be iteratively optimized to obtain as many relevant articles as possible. Grey literature will also be identified and synthesized.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>An assessment of the quality of the articles included in the scoping review will not be performed because it is beyond the scope of the scoping review.</p>
                        </list-item>
                        <list-item>
                            <label>4.</label>
                            <p>A scoping review was undertaken because the topic has not been extensively reviewed and the scope has a broader agreement.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
        </sec>
        <sec id="sec12">
            <title>Ethics and dissemination</title>
            <p>This study does not require ethical approval because the information and data collected will be obtained from publicly available sources. Regarding dissemination activities, the full review will be presented at a relevant conference and submitted to a peer-reviewed scientific journal for publication to report the outcomes of the scoping review.</p>
        </sec>
        <sec id="sec13">
            <title>Data availability</title>
            <sec id="sec14">
                <title>Underlying data</title>
                <p>No data are associated with this article.</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>All the authors have proofread the protocol and given their final approval of the version to be published. Authors would like to acknowledge and extend their gratitude to Dr. Bhumika TV, Assistant Professor and Coordinator, PHESA, PSPH, and MAHE for her support with the development of this protocol.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report212915">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.137667.r212915</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Wijemunige</surname>
                        <given-names>Nilmini</given-names>
                    </name>
                    <xref ref-type="aff" rid="r212915a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2241-3194</uri>
                </contrib>
                <aff id="r212915a1">
                    <label>1</label>Institute for Health Policy, Colombo, Western Province, Sri Lanka</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>2</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Wijemunige N</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport212915" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.125369.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This protocol sets the groundwork for a useful study to quantify costs associated with CVDs. The protocol will benefit with further tightening of definitions, particularly the population, costs and perspectives, and what the term CVD covers.&#x00a0;</p>
            <p> </p>
            <p> 
                <bold>Introduction</bold> 
                <list list-type="order">
                    <list-item>
                        <p>Define CVDs (perhaps when the term is introduced in the first paragraph), as it comes as a bit of a surprise in the methods that the scoping review will also cover CVDs such as rheumatic heart disease, congenital heart disease etc. Is all the data mentioned in the introduction including these conditions as well?</p>
                    </list-item>
                    <list-item>
                        <p>1st sentence: 55 million - specify the country</p>
                    </list-item>
                    <list-item>
                        <p>This sentence could be reworded: Low- and middle-income countries (LMICs) contributes to more than three-quarter of the world&#x2019;s fatalities due to CVDs, which is attributed to insufficiency in primary healthcare services and the absence of robust universal health coverage (UHC) systems. Reason: LMICs account for 84% of the world&#x2019;s population, but 75% of CVD deaths. The citation makes a slightly different point: that people in LMICs are less likely to benefit from early detection and treatment, and they die at a younger age. This could be linked with the next sentence as well.</p>
                    </list-item>
                    <list-item>
                        <p>CVDs was INR 94 billion in 2004 and it is expected to project at INR 152 billion by 2021: it would be useful to give the USD amount in brackets</p>
                    </list-item>
                    <list-item>
                        <p>Over the past few decades, CVDs have become a leading cause of mortality, causing a huge social and economic menace.&#x00a0; - this sentence is out of place here</p>
                    </list-item>
                    <list-item>
                        <p>In the sentence before the objective, it is mentioned that a review is planned of articles &#x201c;indicating the cost of CVDs&#x201d;. However the objective says &#x201c;costs of care management&#x201d;. &#x201c;Cost of CVD&#x201d; could include societal costs as well, so should maintain consistency as to what costs you are focusing on.</p>
                    </list-item>
                </list> </p>
            <p> </p>
            <p> 
                <bold>Methods</bold> 
                <list list-type="order">
                    <list-item>
                        <p>Table 1 population: make the terms used in the table and text consistent. Suggest using &#x201c;individuals&#x201d; instead of participants/patients</p>
                    </list-item>
                    <list-item>
                        <p>What does &#x201c;borderline CVD&#x201d; mean? Is it risk of CVD? From the search terms, it looks like risk of CVD is not being looked at, and it would be good to mention if you are or are not looking at CVD risk screening costs (primary prevention of CVD), and if not, why not.</p>
                    </list-item>
                    <list-item>
                        <p>Table 4: Data extraction would benefit in capturing the perspective of the costs (individual / healthcare / societal costs) - you allude to it with &#x201c;study perspective&#x201d;. Please clarify if you are collecting the perspective of the costs as well.</p>
                    </list-item>
                    <list-item>
                        <p>Stage 3 - The two stages followed.. should it be &#x201c;will follow&#x201d;?</p>
                    </list-item>
                    <list-item>
                        <p>Is there a process to ensure harmonization between the&#x00a0; teams? Is it the same for title/abstract and full text screening?&#x00a0; How many teams are there?</p>
                    </list-item>
                </list>
            </p>
            <p>Is the study design appropriate for the research question?</p>
            <p>Yes</p>
            <p>Is the rationale for, and objectives of, the study clearly described?</p>
            <p>Yes</p>
            <p>Are sufficient details of the methods provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Are the datasets clearly presented in a useable and accessible format?</p>
            <p>Not applicable</p>
            <p>Reviewer Expertise:</p>
            <p>Public health, policy policy and health economics with a focus on non-communicable diseases, particularly CVD.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report199218">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.137667.r199218</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Fletcher</surname>
                        <given-names>Lauren M.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r199218a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6026-5823</uri>
                </contrib>
                <aff id="r199218a1">
                    <label>1</label>Brown University, Providence, Rhode Island, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>10</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Fletcher LM</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport199218" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.125369.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors have developed a well-documented and thorough scoping review protocol. The authors aim to document and determine any gaps in the literature on the direct and indirect healthcare costs of cardiovascular disease in India. The scope and aim of this study are well defined and the study design is appropriate for the research proposed.&#x00a0;</p>
            <p> </p>
            <p> Study Identification 
                <list list-type="bullet">
                    <list-item>
                        <p>The authors would benefit from providing a rationale for why a date limit, articles from January 2000 onwards, was used for the review.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The authors list a number of cardiovascular diseases to be included in the scoping review but did not include heart attacks or stroke within the list of eligible CVDs though they are listed in the search terms. Authors should include the concept of heart attacks/stroke as an included CVD or exclude the concept from the search strategy.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The authors state indirect healthcare costs as a main concept in addition to direct healthcare costs, but definitions for the types of indirect costs are not stated. The authors should provide information as to the types of indirect healthcare costs that will be considered for inclusion.&#x00a0;</p>
                    </list-item>
                </list> 
                <list list-type="bullet">
                    <list-item>
                        <p>The authors should include MeSH and Emtree controlled vocabulary terms for the searches conducted in PubMed and Embase.&#x00a0;&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The authors should consider expanding terminology for direct/indirect healthcare costs. Terminology regarding economic evaluations, expenditure, etc. would be beneficial for expanding the search on direct healthcare costs. Further terminology related to indirect healthcare costs should be considered for the search as well.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The authors should include what database(s) within the ProQuest platform was searched.&#x00a0;</p>
                    </list-item>
                </list> Selection of Eligible Studies&#x00a0; 
                <list list-type="bullet">
                    <list-item>
                        <p>The authors provide a sound methodology for studying selection.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The inclusion/exclusion criteria would be aided by the addition of the items suggested in the above points.&#x00a0;</p>
                    </list-item>
                </list> Data Extraction and Charting 
                <list list-type="bullet">
                    <list-item>
                        <p>The authors provide a detailed methodology for data extraction. Authors would benefit from stating the number of reviewers extracting data and if a reviewer(s) will resolve any data conflicts and/or review the accuracy of extracted data.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The authors should consider extracting data on any related comorbidities as this could be helpful for future analysis, policy development, etc.&#x00a0;</p>
                    </list-item>
                </list> Data Analysis and Reporting&#x00a0; 
                <list list-type="bullet">
                    <list-item>
                        <p>The authors provide a sound proposal for how the anticipated data will be analyzed and reported.&#x00a0;</p>
                    </list-item>
                </list>
            </p>
            <p>Is the study design appropriate for the research question?</p>
            <p>Yes</p>
            <p>Is the rationale for, and objectives of, the study clearly described?</p>
            <p>Yes</p>
            <p>Are sufficient details of the methods provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Are the datasets clearly presented in a useable and accessible format?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Health Sciences librarian with extensive knowledge and training in evidence synthesis methodology and searching.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
