Evaluation for Health Policy and Health Care

A Contemporary Data-Driven Approach

Steven Sheingold, Anupa Bir

• Publisher: SAGE Publications, Inc
• Year: 2019
• Print ISBN: 9781544333717
• eBook ISBN: 9781544333700
• Edition: 1
• Topic: Medicine
• Subtopic: Evaluation & Assessment in Education

This is the contemporary, applied text on evaluation that your students need.

Evaluation for Health Policy and Health Care: A Contemporary Data-Driven Approach explores the best practices and applications for producing, synthesizing, visualizing, using, and disseminating health care evaluation research and reports. This graduate-level text will appeal to those interested in cutting-edge health program and health policy evaluation in this era of health care innovation. Editors Steven Sheingold and Anupa Bir's core text focuses on quantitative, qualitative, and meta-analytic approaches to analysis, providing a guide for both those executing evaluations and those using the data to make policy decisions. It is designed to provide real-world applications within health policy to make learning more accessible and relevant, and to highlight the remaining challenges for using evidence to develop policy.

Table of contents

• Cover
• Half Title
• Publisher Note
• Title Page
• Copyright Page
• Brief Contents
• Detailed Contents
• Illustration List
• Table List
• Preface
• Acknowledgments
• About the Editors
• Part I Setting Up for Evaluation
• Chapter 1 Introduction
• Chapter 2 Setting the Stage
• Chapter 3 Measurement and Data
• Part II Evaluation Methods
• Chapter 4 Causality and Real-World Evaluation
• Chapter 5 Randomized Designs
• Chapter 6 Quasi-experimental Methods Propensity Score Techniques
• Chapter 7 Quasi-experimental Methods Regression Modeling and Analysis
• Chapter 8 Treatment Effect Variations Among the Treatment Group
• Chapter 9 The Impact of Organizational Context on Heterogeneity of Outcomes Lessons for Implementation Science
• Part III Making Evaluation More Relevant to Policy
• Chapter 10 Evaluation Model Case Study The Learning System at the Center for Medicare and Medicaid Innovation
• Chapter 11 Program Monitoring Aligning Decision Making With Evaluation
• Chapter 12 Alternative Ways of Analyzing Data in Rapid-Cycle Evaluation
• Chapter 13 Synthesizing Evaluation Findings
• Chapter 14 Decision Making Using Evaluation Results
• Chapter 15 Communicating Research and Evaluation Results to Policymakers
• Appendix A The Primer Measure Set
• Appendix B Quasi-experimental Methods That Correct for Selection Bias Further Comments and Mathematical Derivations
• Index