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An Introduction to Global Health Delivery$
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Joia S. Mukherjee

Print publication date: 2017

Print ISBN-13: 9780190662455

Published to Oxford Scholarship Online: December 2017

DOI: 10.1093/oso/9780190662455.001.0001

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Monitoring, Evaluation, Disease Surveillance, and Quality Improvement

Monitoring, Evaluation, Disease Surveillance, and Quality Improvement

Chapter:
(p.209) 10 Monitoring, Evaluation, Disease Surveillance, and Quality Improvement
Source:
An Introduction to Global Health Delivery
Author(s):

Joia S. Mukherjee

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190662455.003.0010

Quality data are necessary to make good decisions in health delivery for both individuals and populations. Data can be used to improve care and achieve equity. However, systems for health data management were historically weak in most impoverished countries. Health data are not uncommonly compiled in stacks of poorly organized paper records. Efforts to streamline and improve health information discussed in this chapter include patient-held booklets, demographic health surveys, and the use of common indicators. This chapter also focuses on the evolution of medical records, including electronic systems. The use of data for monitoring, evaluation, and quality improvement is explained. Finally, this chapter reviews the use of frameworks—such as logic models and log frames—for program planning, evaluation, and improvement.

Keywords:   Health information systems, demographic health survey (DHS), quality improvement, disease surveillance, medical records, DOTS, logic model, log frame

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