Understanding Health Care Outcomes ResearchRobert L. Kane Eleven American academics, physicians, and health services researchers contribute ten chapters examining the important issues that surround outcomes research, in a text for health services researchers and clinicians who utilize patient-centered outcomes information in the context of care. The concept for this volume grew out of a graduate seminar o |
Contents
What Is Risk Adjustment? | 7 |
How Is This Book Organized? | 14 |
Measures? | 19 |
Chapter 3ConditionSpecific Measures | 53 |
Chapter 4Satisfaction | 67 |
How Do Outcomes Researchers Measure the Effect | 109 |
What Are the Pitfalls? | 119 |
PART IIIRISK ADJUSTMENT | 127 |
Chapter 8Demographic and Psychosocial Factors | 175 |
What Are Psychological and Social Variables and | 189 |
PART IVTECHNICAL AND PRACTICAL ISSUES | 211 |
How Can Measures Be Conceptualized? | 217 |
How Are Items in a Measure | 223 |
How Can a Measures Sensitivity to Change Be Assessed? | 231 |
What about Measurement Error? | 237 |
What Are the Basic Analytic Issues? | 249 |
Other editions - View all
Common terms and phrases
ADLs analysis angioplasty APACHE II arthritis aspects assess assignment attribution bias baseline characteristics clinical clinicians cognitive functioning comorbid conditions comorbid disease comorbidity measure complications components conceptual model condition-specific measures construct Cronbach's alpha Current Procedural Terminology data collection developed diagnosis-related groups domains of health evaluation example health status measures hospital important individual intervention investigators Journal latent variable McDowell & Newell method mortality myocardial infarction older adults outcome measures outcome of interest outcomes research outcomes study overall pain patient satisfaction physical functioning physician population primary problems procedures psychological psychometric Questionnaire questions rates relationship reliability and validity response rheumatoid arthritis risk factors role sample score selection bias severity measures severity of illness Sickness Impact Profile social functioning social support socioeconomic status specific standard gamble statistical surgery survey symptoms tion treatment effect treatment group variables variance Ware weights well-being