October 1, 2019 Thesis Open Access

REDIATE SILESHI

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  <identifier identifierType="DOI">10.20372/nadre:4412</identifier>
  <creators>
    <creator>
      <creatorName>REDIATE SILESHI</creatorName>
    </creator>
  </creators>
  <titles>
    <title>ASSESSMENT OF THE PREVALENCE AND ASSOCIATED FACTORS OF BIRTH PREPAREDNESS AND COMPLICATION READINESS AMONG PREGNANT W0MEN IN PUBLIC HEALTH CENTERS OF ADDIS ABABA, ETHIOPIA</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-10-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Thesis</resourceType>
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    <alternateIdentifier alternateIdentifierType="url">https://nadre.ethernet.edu.et/record/4412</alternateIdentifier>
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  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Background; - Ethiopia is one of the countries with higher maternal mortality in the world that was estimated 11,000 in 2015 alone. Birth preparedness and complication readiness (BPCR) is important measure to improve utilization of maternal health which contributes for reducing maternal mortality. BPCR is a comprehensive package aimed at promoting timely access to skilled maternal and neonatal services. But limited study was found in Addis Ababa on BP/CR Objective: - To determine the prevalence and associated factors of birth preparedness and complication readiness among pregnant women in public health centers in Addis Ababa Method: - Facility based cross-sectional study was done in selected ten health centers in Addis Ababa. Multistage sampling technique was used to select health facilities by taking clients flow chart into account. Training was given to the data collectors prior to data collection. There were ten data collectors and two supervisors. Data was collected from March to April 2019 using structured questioner which was pretested in other health center. Then data was entered to Epi-data software version 3.1 by the principal investigator and SPSS 20 software program was used to analyze the entered data. OR were used to measure association and 95% CI and P-Value&amp;lt;0.05 were used as predictors of significant association. Binary and multivariable logistic regression was tatted&lt;/p&gt;</description>
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