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The Myths of Health Care

Overview of attention for book
Cover of 'The Myths of Health Care'

Table of Contents

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    Book Overview
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    Chapter 1 Managing the Myths of Health Care
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    Chapter 2 The Historical Evolution of Health Concepts and Approaches: The Challenge of Complexity
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    Chapter 3 A Plural Analysis of Health Myths: Overview of the Volume
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    Chapter 4 Myth #1: The Healthcare System Is Failing
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    Chapter 5 Myth #2: The Healthcare System Can Be Fixed by Clever Social Engineering
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    Chapter 6 Myth #3: Healthcare Institutions as Well as the Overall System Can Be Fixed by Bringing in the Great Leader
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    Chapter 7 Myth #4: The Healthcare System Can Be Fixed by Treating It More as a Business
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    Chapter 8 Myth #5: Health Care Is Rightly Left to the Private Sector, for the Sake of Efficiency
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    Chapter 9 Myth #6: Health Care Is Rightly Controlled by the Public Sector, for the Sake of Equality
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    Chapter 10 Myth #7: The Myth of Measurement
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    Chapter 11 Myth #8: The Myth of Scale
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    Chapter 12 Health Myths and Service-Dominant Logic
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    Chapter 13 Looking Through the Lens of the Complexity Paradigm
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    Chapter 14 Erratum to: Myth #3: Healthcare Institutions as Well as the Overall System Can Be Fixed by Bringing in the Great Leader
Attention for Chapter 11: Myth #8: The Myth of Scale
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Citations

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3 Mendeley
Summary Dimensions citations
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Chapter title
Myth #8: The Myth of Scale
Chapter number 11
Book title
The Myths of Health Care
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-53600-2_11
Book ISBNs
978-3-31-953599-9, 978-3-31-953600-2
Authors

Rocco Palumbo, Gabriella Piscopo, Maria Grazia Sampietro, Marcello Martinez, Louis Moschera, Gianluigi Mangia, Daniela Scaramuccia, Alberto Calvo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Economics, Econometrics and Finance 1 33%
Unknown 1 33%

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