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Measurement in Medicine

Measurement in Medicine

Leah McClimans

(2017)

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Book Details

Abstract

Measurement in Medicine brings together for the first time a range of philosophical essays on topics in the philosophy of epidemiology, epistemology of measurement, philosophy of health economics and health policy that address pressing questions of assessment and evaluation in medicine. Ranging from questions about the methodology of measuring instruments to the role of measurement in health policy decisions, this volume spans the essential topics for anyone interested in understanding the philosophical issues at stake in the growing industry of health and health care evaluation.
Leah McClimans's impressive collection presents a productive synergy of the wisdom of many leading figures in the philosophy of medicine and the philosophy of measurement. The contributors give timely philosophical attention to the increasing pervasiveness of measurement in all aspects of medicine. This book should be required reading for anyone concerned with the scientific development and social management of medicine.
Hasok Chang, Hans Rausing Professor of History and Philosophy of Science, University of Cambridge
This is an exciting collection of new essays exploring the use of outcome measurements in medicine. It demonstrates, in a variety of ways, that there are both epistemic and ethical choices to make in selecting outcome measurements as a basis for policy decisions. It is accessible to a multidisciplinary audience, including philosophers of science, ethicists, epidemiologists, and policy experts.
Miriam Solomon, Professor of Philosophy, Temple University
Leah McClimans is Associate Professor of Philosophy at the University of South Carolina.

Table of Contents

Section Title Page Action Price
Cover i
Measurement in Medicine ii
Measurement in Medicine iv
Contents vi
Introduction viii
Measurement and Evidence-Based Medicine ix
Measuring Instruments xi
Measurement and Policy xii
Future Directions xiv
References xv
Part I 1
Measurement and Evidence-Based Medicine 1
Chapter 1 3
How Evidence-Based Medicine Highlights Connections between Measurement and Evidence 3
Evidence-Based Medicine, PatientCentered Care, and Implicit Bias Evidence-Based Medicine 4
Implicit Bias and Medicine 5
Implicit Bias and EBM 6
Implicit Bias and the Theory-Ladenness of Measurement in Medicine 6
Good and Bad Theory-Ladenness 6
Kuhn’s Three Forms of Theory-Ladenness in Measurement 7
Strategic Theory and the Theory-Ladenness of Evidence in EBM 9
Theory-Ladenness and the Evidence Hierarchy 11
The Evidence Hierarchy 11
Clinical Experience and Intuition 12
Pathophysiological Reasoning 12
Observational Studies 13
Randomized Controlled Trials 14
EBM and Evidence and Measurement 17
Notes 18
References 19
Chapter 2 21
Can Causation Be Quantitatively Measured? 21
Estimating “Causal Effect” 23
Philosophy and General Causation 27
Preemption and the Potential Outcomes Approach 29
Quantitative Causal Claims as Counting Mechanisms 32
Conclusion 33
References 34
Chapter 3 35
Absolute Measures of Effectiveness 35
Outcome Measures 36
Frequency of Use of Various Outcome Measures 39
Absolute Measures Are Superior to Relative Measures 40
The Myth of the Odds Ratio 47
Conclusion 50
Notes 50
References 51
Chapter 4 53
A Causal Construal of Heritability Estimates 53
What Is Heritability? 54
The G×E 56
Challenge 56
The Additivity Reply 57
The G×E 59
Challenge 59
The Interdependent-Difference-Makers Reply 60
An Evaluation of the Reply 63
Lessons on Heritability 64
Conclusion 66
Notes 66
References 67
Part II 71
Measuring Instruments 71
Chapter 5 73
A Theory of Measurement 73
Three Steps Characterizing the Concept 74
Representation 78
Measurement Procedures 82
Conclusion 86
Notes 87
References 87
Chapter 6 89
Psychological Measures, Risk, and Values 89
Ontology and Psychological Measurement 90
Representational Measurement Theory 92
Classical Test Theory 93
Epistemic Risk and Psychological Measurement 94
Ordinal vs. Interval Measurement Scales 95
Validity 97
Nonepistemic Values and Psychological Measurement 98
Classical Test Theory Reconsidered 99
Latent Trait Theory Reconsidered 101
Conclusion 102
Notes 103
References 103
Chapter 7 107
The Epistemological Roles of Models in Health Science Measurement 107
Background 107
Qualitative Models and Content Validity 108
Statistical Models and Comparability 111
Classical Test Theory 111
Rasch Measurement Theory 113
Theoretical Models and Accuracy 115
Conclusion 118
Notes 118
References 119
Chapter 8 121
Measuring the Pure Patient Experience 121
Analysis of ESAS 122
First Presupposition: There is a Pure, Subjective Experience That Exists Objectively Outside and Beyond Language and Interpretat 124
First Argument 125
Second Argument 126
Second Presupposition: The Individual’s Knowledge about His or Her Experience Is Unique and Private and Can Best Be Captured by 128
References 131
Chapter 9 133
Measurement, Multiple Concurrent Chronic Conditions, and Complexity 133
Demographic Transition 134
Classification Systems 135
Does the ICD Recognize MCCC/Complexity? 136
Why Does This Matter? 137
The Problem of Outcomes 138
MCCC Not the Only Issue; Complexity Now a Factor 139
Challenges in Measurement 140
The Ballung Nature of MCCC/Complexity 143
Moving Forward: A Measurement Agenda 144
Conclusion 146
References 147
Part III 149
Measurement and Policy 149
Chapter 10 151
NICE’s Cost-Effectiveness Threshold 151
The Threshold: The Theory 154
The Threshold: The Practice 155
Justifying the Threshold? 158
From an Argument for Fixed Standards to the Setting of NICE’s Threshold 159
Can Anything Be Said in Favor of NICE’s Response to Claxton et al.? 163
Conclusion 165
Notes 166
References 167
Chapter 11 169
Cost Effectiveness 169
Four Qualms Concerning Rationing by Cost Effectiveness 169
1. S hould the objective of the health department be to promote the health of the nation’s population or to promote its welfare? 170
2. S hould those whom it is less cost effective to treat get no treatment? 170
3. S hould health-related resources be distributed in the most costeffective way when doing so aggravates inequalities? 171
4. S hould the priority assigned to treatments depend exclusively on their cost and on the magnitude of the change in health tha 171
Changing the Measure of Effectiveness from Health to Well-Being 172
Changing the Measure of Effectiveness from Health to the “Social Value” of Health 176
Fairness, Severity, and Discrimination 179
Conclusions 183
Notes 184
References 184
Chapter 12 187
The Value of Statistical Lives and the Valuing of Life 187
The Value of Statistical Lives 189
Formulation of the WTP Model of VSL 190
Measuring VSL 192
The Valuing of Life 195
Notes 197
References 199
Chapter 13 201
How Good Decisions Result in Bad Outcomes 201
Effective Decision Making 207
The Group and the Individual 211
Solutions 212
References 213
Index 215
About the Contributors 223