<?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>23</Volume>
      <Issue>1-4</Issue>
      <PubDate PubStatus="epublish">
        <Year>1994</Year>
        <Month>12</Month>
        <Day>15</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">A PRELIMINARY REPORT ON THE DESIGN, PREPARATION, AND STANDARDIZATION OF A VISION SCREENER &#x201C;E&#x201D; CHART</title>
    <FirstPage>51</FirstPage>
    <LastPage>56</LastPage>
    <AuthorList>
      <Author>
        <FirstName></FirstName>
        <LastName>H. Honarpisheh</LastName>
        <affiliation locale="en_US"></affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>03</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">To facilitate a comprehensive whole population visual acuity screening, a 1-meter vision screener &#x201C;E&#x201D; chart was prepared to be used in the person-by-person household visual acuity examination by non-expert health workers. The chart is designed to be used in measuring visual acuity from a distance of one meter. The scaling is in terms of-log MAR (logarithm of minimum angle of resolution) with a linear progression from a value of zero to one. It is just used in the study of the Visual Disorders Project as part of the WHO/PBL prevention of blindness program in the city of Baft (Kerman province - Iran) and proved to be efficient. The initial standardization showed a sensitivity of 100% and a specificity of more than 56% with 27% false positive results as compared to classic 6-meter Senlien chart.</abstract>
    <web_url>https://ijph.tums.ac.ir/index.php/ijph/article/view/1582</web_url>
    <pdf_url>https://ijph.tums.ac.ir/index.php/ijph/article/download/1582/1563</pdf_url>
  </Article>
</Articles>
