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  <Article>
    <Journal>
      <PublisherName>ajhe</PublisherName>
      <JournalTitle>African Journal of Health Economics</JournalTitle>
      <PISSN>C</PISSN>
      <EISSN>o</EISSN>
      <Volume-Issue>Volume 6 Issue 2</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>December 2017</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>-0001</Year>
        <Month>11</Month>
        <Day>30</Day>
      </PubDate>
      <ArticleType>Review &amp; Research</ArticleType>
      <ArticleTitle>Inequality in Health Care Sector in India: A case Study of Health Facility, Human Resources for Health and Amenities Distribution at the District level in Four Indian States.</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>26</FirstPage>
      <LastPage>37</LastPage>
      <AuthorList>
        <Author>
          <FirstName>BRIJESH C</FirstName>
          <LastName>PUROHIT</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>Across nations, National Health Policies, including that of India, have emphasised a&#13;
preference for equitable health care facilities. Keeping these emphases on equity in mind we&#13;
explored four Indian states using sub-state level (or district level) data. We applied mainly,&#13;
three well established indicators, namely Gini coefficient and Thiel’s T and L indices to&#13;
gauge magnitudes of inequity. Using individual state level aggregate data, we compared our&#13;
results between two periods for the same state which included one high income and another&#13;
low income Indian state. Also we compared across four states, namely, Punjab, Karnataka,&#13;
Madhya Pradesh and West Bengal using the most recent information available for the year.&#13;
Our results indicate that government investment in three tier health facilities expansion&#13;
comprising of primary, secondary and tertiary level care, has indeed resulted in low&#13;
inequities in terms of health facilities availability and distribution. However, private health&#13;
facilities or certain specific public health facilities did not seem to be much equitable&#13;
particularly at the sub-state level. The focus of our results are on availability as it relates to&#13;
geographical distribution and did not indicate equitable utilisation of health care facilities or&#13;
health care outcomes at the district levels.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Gini Coefficient, Inequality National Health, Theil Entropy</Keywords>
      <URLs>
        <Abstract>https://ajhe.org.in/ubijournal-v1copy/journals/abstract.php?article_id=5833&amp;title=Inequality in Health Care Sector in India: A case Study of Health Facility, Human&#13;
Resources for Health and Amenities Distribution at the District level in Four Indian&#13;
States.</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
      </References>
    </Journal>
  </Article>
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