<?xml version="1.0"?>
<Articles JournalTitle="Iranian Journal of Public Health">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Iranian Journal of Public Health</JournalTitle>
      <Issn>2251-6085</Issn>
      <Volume>50</Volume>
      <Issue>5</Issue>
      <PubDate PubStatus="epublish">
        <Year>2021</Year>
        <Month>04</Month>
        <Day>30</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Basic Criteria, Models, and Indicators of Intersectoral Collabora-tion in Health Promotion: A Scoping Review</title>
    <FirstPage>852</FirstPage>
    <LastPage>865</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Mohammad Reza</FirstName>
        <LastName>Amir Esmaili</LastName>
        <affiliation locale="en_US">Department of Health Management, Economics and Policy Making, School of Management and Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Behzad</FirstName>
        <LastName>Damari</LastName>
        <affiliation locale="en_US">Department of Social Determinants of Heath, National Institute of Health Research, Tehran University of Medical Science, Teh-ran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Ahmad</FirstName>
        <LastName>Hajebi</LastName>
        <affiliation locale="en_US">Department of Psychiatric, Addiction Research Center, Medical School, Iran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Noora</FirstName>
        <LastName>Rafiee</LastName>
        <affiliation locale="en_US">Department of Health Management, Economics and Policy Making, School of Management and Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Reza</FirstName>
        <LastName>Goudarzi</LastName>
        <affiliation locale="en_US">Department of Health Management, Economics and Policy Making, School of Management and Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Abbas</FirstName>
        <LastName>Haghshenas</LastName>
        <affiliation locale="en_US">Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2020</Year>
        <Month>10</Month>
        <Day>02</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2021</Year>
        <Month>01</Month>
        <Day>13</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Background: In this study, the basic criteria, models, and indicators of intersectoral collaboration in health promotion were investigated to facilitate the implementation of collaboration.
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Methods: This scoping review was conducted using datasets of Embase, Web of Science, Scopus, and PubMed, and search engines of Google, Google Scholar, and ProQuest.
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Results: 52 studies were included, and 32 codes in Micro, Meso, and Macro level, were obtained. Micro-level criteria had the highest frequency. Among the models used in the reviewed studies, social network analysis, Diagnosis of Sustainable Collaboration, Bergen, and logic models had the highest frequency. Among the indicators studied, the number of participants and the level of collaboration as well as its sustainability were the most frequent indicators.
&#xD;

Conclusion: The findings identified the most important and widely used criteria, models, and indicators of intersectoral collaboration in health promotion which can be useful for decision-makers and planners in the domain of health promotion, in designing, implementing, and evaluating collaborative programs.</abstract>
    <web_url>https://ijph.tums.ac.ir/index.php/ijph/article/view/22389</web_url>
    <pdf_url>https://ijph.tums.ac.ir/index.php/ijph/article/download/22389/7213</pdf_url>
  </Article>
</Articles>
