Evaluation for health policy and health care: (Record no. 5399)
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| 000 -LEADER | |
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| fixed length control field | 06837nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230906142322.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230822b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781544333717 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 362.10727 |
| Item number | SHE |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sheingold, Steven |
| 245 ## - TITLE STATEMENT | |
| Title | Evaluation for health policy and health care: |
| Remainder of title | a contemporary data-driven approach |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Sage Publications, Inc. |
| Place of publication, distribution, etc. | California |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xix, 312 p. |
| 365 ## - TRADE PRICE | |
| Price type code | USD |
| Price amount | 125.00 |
| 500 ## - GENERAL NOTE | |
| General note | Content:<br/><br/>List of Figures and Tables<br/> <br/>Preface<br/> <br/>Acknowledgments<br/> <br/>About the Editors<br/> <br/>PART I. SETTING UP FOR EVALUATION<br/> Chapter 1. Introduction <br/>Background: Challenges and Opportunities<br/> <br/>Evaluation and Health Care Delivery System Transformation<br/> <br/>The Global Context for Considering Evaluation Methods and Evidence-Based Decision Making<br/> <br/>Book’s Intent<br/> <br/> Chapter 2. Setting the Stage <br/>Typology for Program Evaluation<br/> <br/>Planning an Evaluation: How Are the Changes Expected to Occur?<br/> <br/>Developing Evaluations: Some Preliminary Methodological Thoughts<br/> <br/>Prospectively Planned and Integrated Program Evaluation<br/> <br/>Summary<br/> <br/> Chapter 3. Measurement and Data <br/>Guiding Principles<br/> <br/>Measure Types<br/> <br/>Measures of Structure<br/> <br/>Measures of Process<br/> <br/>Measures of Outcomes<br/> <br/>Selecting Appropriate Measures<br/> <br/>Data Sources<br/> <br/>Looking Ahead<br/> <br/>Summary<br/> <br/> <br/>PART II. EVALUATION METHODS<br/> Chapter 4. Causality and Real-World Evaluation <br/>Evaluating Program/Policy Effectiveness: The Basics of Inferring Causality<br/> <br/>Defining Causality<br/> <br/>Assignment Mechanisms<br/> <br/>Three Key Treatment Effects<br/> <br/>Statistical and Real-World Considerations for Estimating Treatment Effects<br/> <br/>Summary<br/> <br/> Chapter 5. Randomized Designs <br/>Randomized Controlled Trials<br/> <br/>Stratified Randomization<br/> <br/>Group Randomized Trials<br/> <br/>Randomized Designs for Health Care<br/> <br/>Summary<br/> <br/> Chapter 6. Quasi-experimental Methods: Propensity Score Techniques <br/>Dealing With Selection Bias<br/> <br/>Comparison Group Formation and Propensity Scores<br/> <br/>Regression and Regression on the Propensity Score to Estimate Treatment Effects<br/> <br/>Summary<br/> <br/> Chapter 7. Quasi-experimental Methods: Regression Modeling and Analysis <br/>Interrupted Time Series Designs<br/> <br/>Comparative Interrupted Time Series<br/> <br/>Difference-in-Difference Designs<br/> <br/>Confounded Designs<br/> <br/>Instrument Variables to Estimate Treatment Effects<br/> <br/>Regression Discontinuity to Estimate Treatment Effects<br/> <br/>Fuzzy Regression Discontinuity Design<br/> <br/>Additional Considerations: Dealing With Nonindependent Data<br/> <br/>Summary<br/> <br/> Chapter 8. Treatment Effect Variations Among the Treatment Group <br/>Context: Factors Internal to the Organization<br/> <br/>Evaluation Approaches and Data Sources to Incorporate Contextual Factors<br/> <br/>Context: External Factors That Affect the Delivery or Potential Effectiveness of the Treatment<br/> <br/>Individual-Level Factors That May Cause Treatment Effect to Vary<br/> <br/>Methods for Examining the Individual Level Heterogeneity of Treatment Effects<br/> <br/>Multilevel Factors<br/> <br/>Importance of Incorporating Contextual Factors Into an Evaluation<br/> <br/>Summary<br/> <br/> Chapter 9. The Impact of Organizational Context on Heterogeneity of Outcomes: Lessons for Implementation Science <br/>Context for the Evaluation: Some Examples From Centers for Medicare and Medicaid Innovation<br/> <br/>Evaluation for Complex Systems Change<br/> <br/>Frameworks for Implementation Research<br/> <br/>Organizational Assessment Tools<br/> <br/>Analyzing Implementation Characteristics<br/> <br/>Summary<br/> <br/> <br/>PART III. MAKING EVALUATION MORE RELEVANT TO POLICY<br/> Chapter 10. Evaluation Model Case Study: The Learning System at the Center for Medicare and Medicaid Innovation <br/>Step 1: Establish Clear Aims<br/> <br/>Step 2: Develop an Explicit Theory of Change<br/> <br/>Step 3: Create the Context Necessary for a Test of the Model<br/> <br/>Step 4: Develop the Change Strategy<br/> <br/>Step 5: Test the Changes<br/> <br/>Step 6: Measure Progress Toward Aim<br/> <br/>Step 7: Plan for Spread<br/> <br/>Summary<br/> <br/> Chapter 11. Program Monitoring: Aligning Decision Making With Evaluation <br/>Nature of Decisions<br/> <br/>Cases: Examples of Decisions<br/> <br/>Evidence Thresholds for Decision Making in Rapid-Cycle Evaluation<br/> <br/>Summary<br/> <br/> Chapter 12. Alternative Ways of Analyzing Data in Rapid-Cycle Evaluation <br/>Statistical Process Control Methods<br/> <br/>Regression Analysis for Rapid-Cycle Evaluation<br/> <br/>A Bayesian Approach to Program Evaluation<br/> <br/>Summary<br/> <br/> Chapter 13. Synthesizing Evaluation Findings <br/>Meta-analysis<br/> <br/>Meta-evaluation Development for Health Care Demonstrations<br/> <br/>Meta-regression Analysis<br/> <br/>Bayesian Meta-analysis<br/> <br/>Putting It Together<br/> <br/>Summary<br/> <br/> Chapter 14. Decision Making Using Evaluation Results <br/>Research, Evaluation, and Policymaking<br/> <br/>Program/Policy Decision Making Using Evidence: A Conceptual Model<br/> <br/>Multiple Alternatives for Decisions<br/> <br/>A Research Evidence/Policy Analysis Example: Socioeconomic Status and the Hospital Readmission Reduction Program<br/> <br/>Other Policy Factors Considered<br/> <br/>Advice for Researchers and Evaluators<br/> <br/> Chapter 15. Communicating Research and Evaluation Results to Policymakers <br/>Suggested Strategies for Addressing Communication Issues<br/> <br/>Other Considerations for Tailoring and Presenting Results<br/> <br/>Closing Thoughts on Communicating Research Results<br/> <br/> <br/>Appendix A: The Primer Measure Set<br/> <br/>Appendix B: Quasi-experimental Methods That Correct for Selection Bias: Further Comments and Mathematical Derivations<br/>Propensity Score Methods<br/> <br/>An Alternative to Propensity Score Methods<br/> <br/>Assessing Unconfoundedness<br/> <br/>Using Propensity Scores to Estimate Treatment Effects<br/> <br/>Unconfounded Design When Assignment Is at the Group Level<br/> <br/>Index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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.<br/>(https://us.sagepub.com/en-us/nam/evaluation-for-health-policy-and-health-care/book262472#description) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Medical policy-Evaluation-Statistical methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Medical care-Evaluation-Statistical methods |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bir, Anupa |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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| Dewey Decimal Classification | Public Policy & General Management | IN73 | 12-08-2023 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 08/22/2023 | Bharatiya Sahitya Bhavana | 7035.25 | 362.10727 SHE | 005143 | 08/22/2023 | 1 | 10700.00 | 08/22/2023 | Book |