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Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- Boxes, Figures, and Tables -- Summary -- 1 Introduction -- 2 Evidence of Disparities Among Ethnicity Groups -- 3 Defining Categorization Needs for Race and Ethnicity Data -- 4 Defining Language Need and Categories for Collection -- 5 Improving Data Collection Across the Health Care System -- 6 Implementation -- Appendix A: Acronyms and Abbreviations -- Appendix B: Legislation Cited in Report -- Appendix C: Workshop Agendas -- Appendix D: Subcommittee Member and Staff Biographies -- Appendix E: Subcommittee Template: Developing a National Standard Set of Granular Ethnicity Categories and a Rollup Scheme -- Appendix F: Granular Ethnicities with No Determinate OMB Race Classification -- Appendix G: Kaiser Permanente: Evolution of Data Collection on Race, Ethnicity, and Language Preference Information -- Appendix H: Contra Costa Health Plan Language Assistance Database and Ethnicity Categories -- Appendix I: Subcommittee Template: Developing a National Standard Set of Spoken Language Categories and Coding.

FrontMatter -- Reviewers -- Acknowledgments -- Contents -- Boxes, Figures, and Tables -- Summary -- 1 Introduction -- 2 The Policy Context for Essential Health Benefits -- 3 Purchaser Perspectives on the EHB -- 4 State Experiences with Defining a Minimum Benefit Standard -- 5 Medical Necessity and Use of Evidence -- 6 Insurer Decisions of Benefit Coverage and Medical Necessity -- 7 Examining Two Categories of Care in Section 1302 -- 8 Non-Discrimination in the Required Elements for Consideration -- 9 Additional Stakeholder Perspectives -- 10 Two Private-Sector Approaches to Benefit Coverage and Design -- 11 Deciding What Is Essential and Evidence-Based in Two States for Public Insurance Programs -- 12 Lessons from California's Benefit Review Processes -- 13 Priority Setting and Value-Based Insurance Design -- 14 Assessing Affordability and the Potential for Underinsurance -- Appendix A: Patient Protection and Affordable Care Act, Section 1302 -- Appendix B: Web-Based Questions for Public Input on Determination of Essential Health Benefits -- Appendix C: Stanford Model Contractual Language for Medical Necessity.

FrontMatter -- Reviewers -- Foreword -- Preface -- Acknowledgments -- Contents -- Boxes, Figures, and Tables -- Abstract -- Summary -- 1 Introduction -- 2 Approaches to Determining Covered Benefits and Benefit Design -- 3 Policy Foundations and Criteria for the EHB -- 4 Resolving ACA Intent -- 5 Defining the EHB -- 6 Public Deliberation -- 7 Program Monitoring and Research -- 8 Allowance for State Innovation -- 9 Updating the EHB -- Appendix A: Patient Protection and Affordable Care Act, Section 1302, and Web Questions for Public Input -- Appendix B: Stakeholder Decisions on Health Insurance -- Appendix C: Examples of Possible Degrees of Specificity of Inclusions in Small Group and Individual Markets -- Appendix D: Examples of Benefit Package Statutory Guidance -- Appendix E: Description of Small Group Market Benefits, Provided by WellPoint -- Appendix F: General Exclusions -- Appendix G: Medical Necessity.

As the United States devotes extensive resources to health care, evaluating how successfully the U.S. system delivers high-quality, high-value care in an equitable manner is essential. At the request of Congress, the Agency for Healthcare Research and Quality (AHRQ) annually produces the National Healthcare Quality Report (NHQR) and the National Healthcare Disparities Report (NHDR). The reports have revealed areas in which health care performance has improved over time, but they also have identified major shortcomings. After five years of producing the NHQR and NHDR, AHRQ asked the IOM for guidance on how to improve the next generation of reports. The IOM concludes that the NHQR and NHDR can be improved in ways that would make them more influential in promoting change in the health care system. In addition to being sources of data on past trends, the national healthcare reports can provide more detailed insights into current performance, establish the value of closing gaps in quality and equity, and project the time required to bridge those gaps at the current pace of improvement