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    <title>Measurement of inpatient care for small and sick newborns</title>
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      <item>EPID</item>
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    <keywords>
      <item>Newborn</item>
      <item>Health systems</item>
      <item>Measurement</item>
      <item>Signal functions</item>
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    <abstract>A spreadsheet containing results of a global survey to classify 18 newborn care interventions. The survey was aimed at individuals working in maternal and newborn health and completed by 262 respondents located in 61 countries. Linking to emergency obstetric care levels, respondents were asked to rank the level of care they thought appropriate for health systems in Low &amp; Middle Income Countries (LMICs) to provide based upon the following categories: [1] “routine care at birth”, [2] “special care”, [3] “intensive care”, or [4] “not appropriate for any level”. Results are displayed with a tab for each intervention and show variation in respondent characteristics with chi-squared value.</abstract>
    <date>2018-10-19</date>
    <date_type>completed</date_type>
    <publisher>London School of Hygiene &amp; Tropical Medicine</publisher>
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      <item>UXB-Neonatal</item>
      <item>SOA-CI</item>
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    <full_text_status>public</full_text_status>
    <place_of_pub>London, United Kingdom</place_of_pub>
    <funders>
      <item>Children’s Investment Fund Foundation</item>
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    <collection_method>The online survey was implemented using SurveyMonkey, with data collection taking place between November 2016 – November 2017. Participants were recruited using a multi-faceted approach – the survey URL was sent to relevant mailing lists used by people working in maternal and newborn health, it was posted on the ‘Child Health Information For All’ (CHIFA) health discussion forum, and launched at conferences on newborn and maternal health.</collection_method>
    <grant>LSHTM ID: 11922</grant>
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        <project>Every Newborn Action Plan metrics</project>
        <funder_name>Children’s Investment Fund Foundation</funder_name>
        <grant>LSHTM ID: 11922</grant>
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