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    <citation>
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        <titl>
          RWA-NISR-RHADPA-2017-V1.0
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        <IDNo>
          ddi-rwa-nisr-rhadpa-2017-V1.0
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      <prodStmt>
        <producer abbr="NISR" affiliation="Minisrty of Finance and Economic Planning" role="Metadata producer">
          National Institute of Statistics of Rwanda
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        <prodDate date="2017-05-01">
          2017-05-01
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          Nesstar Publisher
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          Version 1.0 (June 2017)
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    <citation>
      <titlStmt>
        <titl>
          Health Administrative Data Progress Assessment
        </titl>
        <altTitl>
          RHADPA 2017
        </altTitl>
        <IDNo>
          RWA-NISR-RHADPA-2016-V1.2
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Ministry of Health(MoH) in collaboration with the National Institute of Statistics of Rwanda(NISR)
        </AuthEnty>
        <othId role="Mobilisation" affiliation="Ministry of Local Governance">
          <p>
            Local Government
          </p>
        </othId>
        <othId role=" Mobilisation" affiliation="MINEDUC">
          <p>
            Ministry of education
          </p>
        </othId>
        <othId role="legal requirements" affiliation="MINIJUST">
          <p>
            Ministry of Justice
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="NIDA" affiliation="Government of Rwanda" role="Technical partner">
          National Identification Agency
        </producer>
        <copyright>
          (c)2017, National Institute of Statistics of Rwanda
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact affiliation="NISR" URI="www.statistics.gov.rw" email="info@statistics.gov.rw">
          Director General
        </contact>
        <contact affiliation="NISR" URI="www.statistics.gov.rw" email="rwanda.nada@statistics.gov.rw">
          Data Portals Management Officer
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Administrative Records, Health (ad/hea]
        </serName>
        <serInfo>
          This is the first time that the progress of Health Administrative Data are assessed through a combination of two sources : Health Management Information System (HMIS) and the Civil Registration and Vital Statistics Systems (CRVS).
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2017-05-01">
          <![CDATA[Version 1.1  Edited anonymized dataset for public use]]>
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <abstract>
        The importance of administrative statistics is much worth as it offers a good opportunity to get data at a cheaper cost compared to Censuses and sample surveys. Administrative statistics are also very essential to calculate some important demographic measures for instance health administrative statistics such as crude birth rate, general fertility rate, Age specific fertility rate, total fertility rate, gross reproduction rate, net reproduction rate, crude death rates, marriage and divorce rates,…under the condition that they are complete and accurate.
      </abstract>
      <sumDscr>
        <timePrd date="2015" event="start"/>
        <timePrd date="2016" event="end"/>
        <collDate date="2015" event="start"/>
        <collDate date="2016" event="end"/>
        <nation abbr="rwa">
          Rwanda
        </nation>
        <geogCover>
          National coverage
        </geogCover>
        <anlyUnit>
          <![CDATA[ The Development of Health Administrative Data Progress Assessment  focused on women and children as units of analysis]]>
        </anlyUnit>
        <universe>
          This assessment targeted children and children
        </universe>
        <dataKind>
          Administrative records data [adm]
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      <notes>
        The administrative systems collected data on Crude birth rate (CBR), General fertility rate (GFR), Age specific Fertility rate (ASFR), Total fertility rate (TFR) and Gross reproduction rate (GRR).
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="NISR" affiliation="Ministry of Finance and Economic Planning">
          National Institute of Statistics of Rwanda
        </dataCollector>
        <collMode>
          Other [oth]
        </collMode>
        <sources/>
        <collSitu>
          This assessment used a Civil Registration and Vital Statistics Systems (CRVS), a web based application system for recording vital events in order to boost quality and coverage in data capture and management of vital statistics, as well as the Health Management Information System (HMIS).
        </collSitu>
        <cleanOps>
          <![CDATA[For the calculation of fertility indicators,  two sources of administrative statistics( HMIS and CRVS) were used.
The Health Management Information System (HMIS) has collected the aggregated number of births in 2015 and 2016. For the corresponding years, the Civil Registration and Vital Statistics system (CRVS) has collected the number of births by the age of their mothers at the time of birth. To calculate fertility indicators like ASFR, TFR, and GRR, we need the number of births tabulated according to age of their mothers at birth.

Since the number of births registered in HMIS is close to expectation vis-à-vis the expected annual birth,  fertility indicators were computed using HMIS data and these data have been imputed following the births distribution by age of the mothers (15-49) from the CRVS assuming that the same distribution of births according to the age of their mothers applies]]>
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <dataAppr>
          <![CDATA[A combination of sources of data namely Health Management Information System (HMIS) and  Civil Registration and Vital Statistics web based application (CRVS) is very useful for quality data. The 4th Rwanda Population and Housing Census conducted in 2012 and Rwanda Demographic and Health Survey (RDHS) conducted in 2014/15 were also used to benchmark on expectations and achievements for now.]]>
        </dataAppr>
      </anlyInfo>
    </method>
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      <useStmt>
        <confDec required="yes">
          This is edited data file for public use.
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        <contact affiliation="Ministry of Finance and Economic Planning" URI="http://microdata.statistics.gov.rw/" email="info@statistics.gov.rw">
          National Institute of Statistics of Rwanda
        </contact>
        <citReq>
          "National Institute of Statistics of Rwanda, Health Administrative Data Progress Assessment (HADPA 2015-2016), version 1.0 of public use dataset (June 2017), provided by the National Data Archive. &lt;http://microdata.statistics.gov.rw/&gt;"
        </citReq>
        <conditions>
          <![CDATA[To access to this statistical data, the user agrees NISR  microdata access  terms and conditions]]>
        </conditions>
      </useStmt>
    </dataAccs>
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        RWA-NISR-RHADPA-data-file.NSDstat
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