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Excerpt
This User's Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care.
Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure.
Contents
- Acknowledgements
- Preface
- Executive Summary
- Volume 1
- Section I. Creating Registries
- 1. Patient Registries
- 2. Planning a Registry
- 3. Registry Design
- 1 Introduction
- 2 Research Questions Appropriate for Registries
- 3 Translating Clinical Questions Into Measurable Exposures and Outcomes
- 4 Finding the Necessary Data
- 5 Resources and Efficiency
- 6 Study Designs for Registries
- 7 Choosing Patients for Study
- 8 Sampling
- 9 Registry Size and Duration
- 10 Internal and External Validity
- 11 Summary
- Case Examples for Chapter 3
- References for Chapter 3
- 4. Data Elements for Registries
- 5. Use of Patient-Reported Outcomes in Registries
- 6. Data Sources for Registries
- Section II. Legal and Ethical Considerations for Registries
- Section III. Operating Registries
- 10. Recruiting and Retaining Participants in the Registry
- 11. Data Collection and Quality Assurance
- 12. Adverse Event Detection, Processing, and Reporting
- 1 Introduction
- 2 Identifying and Reporting Adverse Drug Events
- 3 Collecting AE Data in a Registry
- 4 AE Reporting by the Registry
- 5 Coding
- 6 Adverse Event Management
- 7 Adverse Event Required Reporting for Registry Sponsors
- 8 Special Case: Risk Evaluation and Mitigation Strategies (REMS)
- 9 Reporting Breaches of Confidentiality or Other Risks
- References for Chapter 12
- 13. Analysis, Interpretation, and Reporting of Registry Data To Evaluate Outcomes
- 14. Modifying and Stopping Registries
- Section I. Creating Registries
- Volume 2
- Section IV. Technical, Legal, and Analytic Considerations for Combining Registry Data With Other Data Sources
- 15. Interfacing Registries With Electronic Health Records
- 1 Introduction
- 2 EHRs and Patient Registries
- 3 EHRs and Evidence Development
- 4 Current Challenges in a Preinteroperable Environment
- 5 The Vision of EHR-Registry Interoperability
- 6 Interoperability Challenges
- 7 Partial and Potential Solutions
- 8 Momentum Toward a Functional Interoperability Solution
- 9 The Next Increment
- 10 What Has Been Done
- 11 Distributed Networks
- 12 Summary
- Case Examples for Chapter 15
- References for Chapter 15
- 16. Linking Registry Data With Other Data Sources To Support New Studies
- 17. Managing Patient Identity Across Data Sources
- 18. Analysis of Linked Registry Data Sets
- 15. Interfacing Registries With Electronic Health Records
- Section V. Special Applications in Patient Registries
- 19. Use of Registries in Product Safety Assessment
- 1 Introduction
- 2 Registries Specifically Designed for Safety Assessment
- 3 Registries Designed for Purposes Other Than Safety
- 4 Ad Hoc Data Pooling
- 5 Signal Detection in Registries and Observational Studies
- 6 Potential Obligations for Registry Developers in Reporting Safety Issues
- 7 Summary
- Case Examples for Chapter 19
- References for Chapter 19
- 20. Rare Disease Registries
- 21. Pregnancy Registries
- 1 Introduction
- 2 Justification
- 3 Pregnancy Registry Objectives
- 4 Design
- 5 Study Population: Who and When
- 6 Enrollment and Followup
- 7 Exposure Ascertainment
- 8 Exposure Definition
- 9 Covariates: What Else To Collect?
- 10 Outcome Ascertainment
- 11 Outcome(s) Definition
- 12 Reference Group(s): Internal or External, Exposed or Unexposed?
- 13 Analysis of Registry Data
- 14 Statistical Power, Registry Size, and Duration
- 15 Biases
- 16 External Validity or Generalizability
- 17 Operations
- 18 Advantages of Pregnancy Registries
- 19 Limitations of Pregnancy Registries
- 20 Evaluation of Reports From Pregnancy Registries
- 21 Summary
- Case Examples for Chapter 21
- References for Chapter 21
- 22. Quality Improvement Registries
- 1 Introduction
- 2 Planning
- 3 Legal and Institutional Review Board Issues
- 4 Design
- 5 Operational Considerations
- 6 Quality Improvement Tools
- 7 Quality Assurance
- 8 Analytical Considerations
- 9 Reporting to Providers and the Public
- 10 Use of QI Registry Data for Research Studies
- 11 Limitations of Current QI Registries
- 12 Summary
- Case Examples for Chapter 22
- References for Chapter 22
- 23. Registries for Medical Devices
- 24. Public-Private Partnerships
- 1 Introduction
- 2 Definition of a Public-Private Partnership
- 3 PPP Models
- 4 Considerations for Setting Up a PPP
- 5 Evolution of PPPs
- 6 Considerations for Managing a PPP
- 7 Special Considerations for International PPPs
- 8 Key Factors for Success and Potential Challenges
- 9 Summary
- Case Examples for Chapter 24
- References for Chapter 24
- 19. Use of Registries in Product Safety Assessment
- Section VI. Evaluating Registries
- Section IV. Technical, Legal, and Analytic Considerations for Combining Registry Data With Other Data Sources
- Contributors
- Reviewers
- Case Example Contributors
- Contributor and Reviewer Affiliations
- Appendix A An Illustration of Sample Size Calculations
- Appendix B Copyright Law
- Appendix C Relevant Entities in Health Information Technology Standards
- Appendix D Linking Clinical Registry Data With Insurance Claims Files
Prepared for: Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services1, Contract No. 290-2005-00351 TO7. Prepared by: Outcome Sciences, Inc., A Quintiles Company, Cambridge, MA
Suggested citation:
Gliklich R, Dreyer N, Leavy M, eds. Registries for Evaluating Patient Outcomes: A User's Guide. Third edition. Two volumes. (Prepared by the Outcome DEcIDE Center [Outcome Sciences, Inc., a Quintiles company] under Contract No. 290 2005 00351 TO7.) AHRQ Publication No. 13(14)-EHC111. Rockville, MD: Agency for Healthcare Research and Quality. April 2014. http://www.effectivehealthcare.ahrq.gov/registries-guide-3.cfm.
The Effective Health Care Program of the Agency for Healthcare Research and Quality (AHRQ) conducts and supports research focused on the outcomes, effectiveness, comparative clinical effectiveness, and appropriateness of pharmaceuticals, devices, and health care services. More information on the Effective Health Care Program can be found at www.effectivehealthcare.ahrq.gov. This report was produced under contract to AHRQ by the Outcome DEcIDE Center (Developing Evidence to Inform Decisions about Effectiveness) under Contract No. 290-2005-00351 TO7. The AHRQ Task Order Officer for this project was Elise Berliner, Ph.D.
The findings and conclusions in this document are those of the authors, who are responsible for its contents; the findings and conclusions do not necessarily represent the views of AHRQ or the U.S. Department of Health and Human Services. Therefore, no statement in this report should be construed as an official position of AHRQ or the U.S. Department of Health and Human Services.
- 1
540 Gaither Road, Rockville, MD 20850; www
.ahrq.gov
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