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Preface
Acknowledgments
About the Authors
Chapter 1 Introduction to Outcomes Research 1
An Outcomes Approach 8
Risk Adjustment 9
Treatment 10
Types of Study Designs 11
Measuring Outcomes 15
Conceptual Modeling 16
Organization of the Book 21
References 21
Chapter 2 Models and Causal 'Thinking 25
Causation 25
Conceptual Models 29
Explanatory Models 33
Summary 35
References 36
Chapter 3 Outcomes Research Study Designs 39
Isolating the Effect of the Intervention 39
Threats to Validity 41
Threats to Internal Validity 41
Basic Research Designs 43
Potential Biases in Implementing a Study 46
References 47
Chapter 4 Measurement 49
The Nature of Measurement 50
Scaling 52
Nominal Measurement 52
Ordinal Measurement 54
Interval Measurement 55
Ratio Measurement 56
Scaling Methods 56
Rating Scales 57
Comparative Methods 58
Econometric Methods 60
Item Response Theory 61
Strategic Questions in the Selection of Health Outcomes Measures 61
Sensibility 62
Reliability 63
Validity 70
The Three C's of Validity 71
Responsiveness 74
Burden 77
Design 78
Final Thoughts About Outcomes Measures 78
Advantages of Multiple-Item Versus Single-Item Measures 78
Other Useful Terms to Describe Measures 79
Summary 80
References 80
Chapter 5 Generic Health Outcomes Measures 85
Why Use Generic Measures? 86
Advantages and Disadvantages of Using Generic Health Outcomes Measures 88
Health Outcome Domains 89
Physical Functioning 91
Psychologic Well-Being 93
Social Functioning 93
Pain 94
Cognitive Functioning 94
Vitality 95
Overall Well-Being 95
Practical Considerations 96
Choosing a Measure 98
Conclusion 99
References 100
Chapter 6 Health-Related Quality of Life 105
Applications for Health-Related Quality of Life Measures 108
Condition-Specific HRQL 108
Examples of HRQL Measures 109
Karnofsky Scale 109
COOP Charts for Primary Care Practices 112
Medical Outcomes Studies Short-Form Measures 114
Sickness Impact Profile 115
Quality of Well-Being Index 118
EuroQol 120
World Health Organization Quality of Life-BREF 121
Health Utilities Index 121
QOL Coverage 123
Utility Assessment 123
References 129
Chapter 7 Condition-Specific Measures 133
Condition-Specific Measures Versus Generic Health Status Measures 133
Why Not Generic Health Status Measures? 134
Condition-Specific Health Status Measures 136
Physiologic Measures 137
Case Definition Disease Does Not Equal Disease 140
Other Alternatives 140
The Choice of a Condition-Specific Measure 143
The Conceptual Model 143
Hierarchy of Measurement 146
The Role of Condition-Specific Versus Generic Measures 148
Choosing a Measure 151
Conclusion 153
References 154
Chapter 8 Satisfaction With Care 159
The Importance of Patient Satisfaction 159
Theoretic Models of Satisfaction 160
Interpreting Satisfaction Ratings 161
Expectations and Psychosocial Determinants 161
Dimensions of Satisfaction 163
Process of Care and Satisfaction 166
Outcomes and Satisfaction 166
Methodology of Measuring Satisfaction 167
Measurement Methods 167
Methodological Issues 169
Psychometric Testing 170
Utilization Patterns, Survey Timing and Reference Group 172
Reporting Versus Rating 173
Importance of Satisfaction Elements 173
Existing Satisfaction Measures 175
Health Plan 174
Hospital 178
Ambulatory Care 180
Long-Term Care 183
Literature Reviews 188
Summary 188
References 189
Chapter 9 Demographic, Psychologic, and Social Factors 199
Demographic Factors 201
Age 202
Residence 202
Race 203
Marital Status 204
Social Economic Status 205
Psychologic Factors 206
Mind Body Connection 206
Well-Being 210
Locus of Control 210
Pain 211
Stress 212
Other 212
Affect 213
Depression 216
Anxiety 216
Cognitive Function 218
Social Function 218
Social Support 219
Social Function/Adjustment 219
Summary 223
References 223
Chapter 10 Treatment and Interventions 235
Importance of Understanding Treatment 235
What is a Treatment? 235
Components of Treatment 237
Diagnosis Versus Treatment 241
Treatment Components 241
Medications 242
Procedures 242
Counseling/Education 243
Understanding the Components of Treatment 244
Does the Type of Physician Matter? 245
Isolating the Treatment of Interest 246
Statistically Isolating the Effect of Treatment 247
Variation in Treatment 248
Quality Improvement 254
Summary 254
References 255
Chapter 11 Risk Adjustment 261
Severity and Comorbidity 262
Diagnosis-Specific Severity 263
Generic Comorbidity Measures 264
Why Should We Measure Comorbidity (or the Severity of Illness)? 270
Control for Selection Bias 270
Improve Prediction of Outcomes 271
Form a Basis for Subgroup Analysis 271
Data Sources 272
Considerations in Selecting a Risk-Adjustment Strategy 273
Statistical Performance: How Do You Evaluate the Performance of a Risk Model? 275
Summary 277
References 277
Chapter 12 Methods for Collecting Health Outcomes and Related Data 281
Self-Report 282
Tailored Design 287
Designing a Survey Implementation System 288
Pretesting 288
Clinical Data 289
Administrative Data 291
Summary 294
References 294
Chapter 13 Analysis and Visual Display of Health Outcomes Research Data 297
Considerations for Analyzing Health Outcomes Data 297
Select the Analytic Method 298
Threats to Validity 302
Low Statistical Power 302
Fishing and Error Rate Problems 306
Employ Acceptable Methods for Handling Missing Data 308
Create a Database and a Data Dictionary 311
Operationalize Study Variables and Structure Data for Analysis 313
Visual Display of Health Outcomes Information 315
Regulatory Demands Accompanying Health Outcomes Research 316
Summary 318
References 319
Chapter 14 Making Sense of It All: Interpreting the Results 323
Organizing One's Thinking 323
The Search for Simple Measures 325
Adjusting for Case Mix 326
Data Quality 327
Getting Follow-up Data 329
Using Extant Data Sources 331
Basic Analysis Issues 332
Ethics 335
Disease Management 336
Quality Improvement 337
Operational Steps 337
Summary 340
References 341
Index 343
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