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Improving Health Care in Low- and Middle-Income Countries

Overview of attention for book
Cover of 'Improving Health Care in Low- and Middle-Income Countries'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 3 Addressing Behavior Change in Maternal, Neonatal, and Child Health with Quality Improvement and Collaborative Learning Methods in Guatemala
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    Chapter 4 Haiti’s National HIV Quality Management Program and the Implementation of an Electronic Medical Record to Drive Improvement in Patient Care
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    Chapter 5 Bridging the Gap Between Emergency Response and Health Systems Strengthening: The Role of Improvement Teams in Integrating Zika Counseling in Family Planning Services in Honduras
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    Chapter 6 Scaling Up a Quality Improvement Initiative: Lessons from Chamba District, India
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    Chapter 7 The Business Case for Quality in Health Care
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    Chapter 8 Promoting Rational Use of Antibiotics in the Kyrgyz Republic
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    Chapter 9 Applying a Standards-Based Approach to Reduce Maternal Mortality and Improve Maternal and Neonatal Services in Mozambique
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    Chapter 10 Strengthening Services for Most Vulnerable Children Through Quality Improvement Approaches in a Community Setting: The Case of Bagamoyo District, Tanzania
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    Chapter 11 Improving the Quality of Voluntary Medical Male Circumcision: A Case Study from Uganda
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    Chapter 12 Integrating Gender to Improve HIV Services in Uganda
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    Chapter 14 Conclusion
Attention for Chapter 9: Applying a Standards-Based Approach to Reduce Maternal Mortality and Improve Maternal and Neonatal Services in Mozambique
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Chapter title
Applying a Standards-Based Approach to Reduce Maternal Mortality and Improve Maternal and Neonatal Services in Mozambique
Chapter number 9
Book title
Improving Health Care in Low- and Middle-Income Countries
Published by
Springer, Cham, May 2020
DOI 10.1007/978-3-030-43112-9_9
Book ISBNs
978-3-03-043111-2, 978-3-03-043112-9
Authors

Edgar Necochea, Maria da Luz Vaz, Ernestina David, Jim Ricca, Necochea, Edgar, Luz Vaz, Maria da, David, Ernestina, Ricca, Jim

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Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 45%
Other 1 9%
Librarian 1 9%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Nursing and Health Professions 3 27%
Social Sciences 1 9%
Business, Management and Accounting 1 9%
Unknown 2 18%

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