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<Articles JournalTitle="Health Technology Assessment in Action">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Health Technology Assessment in Action</JournalTitle>
      <Issn>2645-3835</Issn>
      <Volume>6</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="epublish">
        <Year>2022</Year>
        <Month>11</Month>
        <Day>06</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Measuring Health System Efficiency; A Protocol Study</title>
    <FirstPage>133</FirstPage>
    <LastPage>133</LastPage>
    <AuthorList>
      <Author>
        <FirstName>Farhad</FirstName>
        <LastName>Hosseinzadeh Lotfi</LastName>
        <affiliation locale="en_US">Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Alireza</FirstName>
        <LastName>Olyaeemanesh</LastName>
        <affiliation locale="en_US">Health Equity ResearchCenter (HERC), TehranUniversity of Medical Sciences, Tehran, Iran. 2.National Institute of HealthResearch, TehranUniversity of Medical Sciences, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Efat</FirstName>
        <LastName>Mohamadi</LastName>
        <affiliation locale="en_US">Health Equity Research Center (HERC), Tehran University of Medical Sciences (TUMS), Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Reza</FirstName>
        <LastName>Majdzadeh</LastName>
        <affiliation locale="en_US">Community Based Participatory Research Centre and Knowledge Utilization Research Centre, Tehran University of Medical Sciences and Iran's National Institute of Health Research, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Ali</FirstName>
        <LastName>Akbari Sari</LastName>
        <affiliation locale="en_US">Department of Health Management and Economics, and Knowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Iraj</FirstName>
        <LastName>Harirchi</LastName>
        <affiliation locale="en_US">The Cancer Institute at Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>AliAkbar</FirstName>
        <LastName>Haghdoost</LastName>
        <affiliation locale="en_US">Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Hamid</FirstName>
        <LastName>Sharafi</LastName>
        <affiliation locale="en_US">Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Haniye Sadat</FirstName>
        <LastName>Sajadi</LastName>
        <affiliation locale="en_US">National Institute for Health Research, Tehran University of Medical Sciences, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Zahra</FirstName>
        <LastName>Goodarzi</LastName>
        <affiliation locale="en_US">National Institute for Health Research, Tehran University of Medical Sciences, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Somayeh</FirstName>
        <LastName>Noori Hekmat</LastName>
        <affiliation locale="en_US">Research Center for Health Services Management, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Mohammad Mehdi</FirstName>
        <LastName>Kiani</LastName>
        <affiliation locale="en_US">1.Department of Health Management and Economics, School of Public Health, Tehran, Iran  2.Health Equity Research Center (HERC), Tehran University of Medical Sciences (TUMS), Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Leila</FirstName>
        <LastName>Freidoony</LastName>
        <affiliation locale="en_US">1.Health Equity Research Center (HERC), Tehran University of Medical Sciences (TUMS), Tehran, Iran. 2. Department of Global Health and Public Policy, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.</affiliation>
      </Author>
      <Author>
        <FirstName>Amirhossein</FirstName>
        <LastName>Takian</LastName>
        <affiliation locale="en_US">1.Health Equity Research Center (HERC), Tehran University of Medical Sciences, Tehran, Iran. 2.Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.  3.Department of Global Health and Public Policy, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2022</Year>
        <Month>06</Month>
        <Day>12</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2022</Year>
        <Month>10</Month>
        <Day>09</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Abstract
Background: To improve healthcare services&#x2019; quality, countries should measure their health systems&#x2019; efficiency and performance by robust methods.
Objectives: We aimed to develop a national study to measure the efficiency of the health system in Iran.
Methods: The literature review identified several methods for measuring efficiency; the most common one was data envelopment analysis (DEA). We adopted DEA, but its findings were simplistic and inaccurate, so we began to modify the method by determining the weight of each indicator. We identified the efficiency measurement indicators, in line with international standards and uniformed units, and then readjusted our input/output indicators according to the study context through four expert panels. We collected data and classified the input/output indicators, followed by determining each indicator&#x2019;s weight and standard limits. Then we rationalized our previous results by applying the revised model. The initial new results of the refined model were valid, accurate, and consistent with previous studies, as approved by experts. We defined proper modeling to achieve the stated objectives. After investigating various DEA models, we finally designed a new model that was consistent with the existing data and conditions, entitled EDEA (extended DEA), to analyze other subprojects.
Conclusions: The conventional DEA methods may not be accurate enough to measure health systems&#x2019; efficiency. By modifying modeling process, we propose a modified DEA with a very low error rate. We suggest that others interested in measuring health system efficiency adopt our modified approach to increase accuracy and create more meaningful policy-oriented results.</abstract>
    <web_url>https://htainaction.tums.ac.ir/index.php/hta/article/view/133</web_url>
    <pdf_url>https://htainaction.tums.ac.ir/index.php/hta/article/download/133/98</pdf_url>
  </Article>
</Articles>
