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Comparative Effectiveness Reviews are systematic reviews of existing research on the effectiveness, comparative effectiveness, and harms of different health care interventions. They provide syntheses of relevant evidence to inform real-world health care decisions for patients, providers, and policymakers. Strong methodologic approaches to systematic review improve the transparency, consistency, and scientific rigor of these reports. Through a collaborative effort of the Effective Health Care (EHC) Program, the Agency for Healthcare Research and Quality (AHRQ), the EHC Program Scientific Resource Center, and the AHRQ Evidence-based Practice Centers have developed a Methods Guide for Comparative Effectiveness Reviews. This Guide presents issues key to the development of Comparative Effectiveness Reviews and describes recommended approaches for addressing difficult, frequently encountered methodological issues.
The Methods Guide for Comparative Effectiveness Reviews is a living document, and will be updated as further empiric evidence develops and our understanding of better methods improves. Comments and suggestions on the Methods Guide for Comparative Effectiveness Reviews and the Effective Health Care Program can be made at www.effectivehealthcare.ahrq.gov.
Contents
- Comparing Medical Interventions: AHRQ and the Effective Health Care ProgramJean Slutsky, David Atkins, Stephanie Chang, and Beth A Collins Sharp.Published: November 18, 2008.
- Principles in Developing and Applying GuidanceMark Helfand and Howard Balshem.Published: August 8, 2009.
- Identifying, Selecting, and Refining TopicsEvelyn P Whitlock, Sarah A Lopez, Stephanie Chang, Mark Helfand, Michelle Eder, and Nicole Floyd.Published: April 27, 2009.
- Developing and Selecting Topic Nominations for Systematic ReviewsMichelle Eder, Alisha Feightner, Elizabeth Webber, Janelle Guirguis-Blake, and Evelyn P. Whitlock.Published: November 19, 2012.
- The Refinement of Topics for Systematic Reviews: Lessons and Recommendations From the Effective Health Care ProgramInvestigators: David I Buckley, Mohammed Ansari, Mary Butler, Clara Williams, and Christine Chang.Published: January 24, 2013.
- Finding Evidence for Comparing Medical InterventionsRose Relevo and Howard Balshem.Published: January 5, 2011.
- Key Points
- Introduction
- Regulatory and Clinical Trials Searching
- Scientific Information Packets: Requests to Industry
- Developing the Published Literature Search
- Strategies for Finding Observational Studies
- Specialized Database Searching
- Using Key Articles
- Hand Searching Journals
- Corresponding With Researchers
- Updating and Reporting the Search Strategy
- Concluding Remarks
- References
- Appendix A. Techniques for Observational Studies and/or Harms
- Appendix B. Specialized Databases
- Appendix C. CONSORT-Style Flow Diagram of Literature Search, Annotated
- Finding Grey Literature Evidence and Assessing for Outcome and Analysis Reporting Biases When Comparing Medical Interventions: AHRQ and the Effective Health Care ProgramHoward Balshem, Adrienne Stevens, Mohammed Ansari, Susan Norris, Devan Kansagara, Tatyana Shamliyan, Roger Chou, Mei Chung, David Moher, and Kay Dickersin.Published: November 18, 2013.
- Key Points
- Introduction
- Methods
- Background
- Sources of Evidence
- Guidance on the Process of Assessing for Selective Reporting of Outcomes and Analyses
- Reporting the Search Strategy and Results
- References
- Abbreviations
- Peer Reviewers
- Appendix A. Definitions of the Data Elements From ClinicalTrials.gov (www.clinicaltrials.gov)
- Appendix B. Definitions of the Data Elements From the World Health Organization International Clinical Trials Registry Platform (www.who.int/ictrp/network/trds/en/index.html)
- Appendix C. FDA Web Site – Drugs@FDA
- Appendix D. Grant Databases
- Avoiding Bias in Selecting StudiesMarian McDonagh, Kim Peterson, Parminder Raina, Stephanie Chang, and Paul Shekelle.Published: February 20, 2013.
- Selecting Observational Studies for Comparing Medical InterventionsSusan Norris, David Atkins, Wendy Bruening, Steven Fox, Eric Johnson, Robert Kane, Sally C Morton, Mark Oremus, Maria Ospina, Gurvaneet Randhawa, Karen Schoelles, Paul Shekelle, and Meera Viswanathan.Published: June 14, 2010.
- Assessing the Risk of Bias in Systematic Reviews of Health Care InterventionsInvestigators: Meera Viswanathan, Carrie D. Patnode, Nancy D. Berkman, Eric B. Bass, Stephanie Chang, Lisa Hartling, M. Hassan Murad, Jonathan R. Treadwell, and Robert L. Kane.Published: December 13, 2017.
- Acknowledgments
- Key Recommendations
- Introduction
- Terminology
- Constructs To Include and Exclude From Risk-of-Bias Assessment
- Stages in Assessing the Risk of Bias of Studies
- Identifying, Selecting, and Assessing Categories of Risk of Bias
- Tools for Assessing Risk of Bias
- Direction and Magnitude of Bias
- Assessing the Credibility of Subgroup Analyses
- Assessing the Risk of Bias for Harms
- Assessing the Credibility of Existing Systematic Reviews
- Reporting the Risk of Bias
- Conclusion
- References
- Assessing the Applicability of Studies When Comparing Medical InterventionsDavid Atkins, Stephanie Chang, Gerald Gartlehner, David I Buckley, Evelyn P Whitlock, Elise Berliner, and David Matchar.Published: December 30, 2010.
- Prioritization and Selection of Harms for Inclusion in Systematic ReviewsInvestigators: Roger Chou, William L. Baker, Lionel L. Bañez, Suchitra Iyer, Evan R. Myers, Sydne Newberry, Laura Pincock, Karen A. Robinson, Lyndzie Sardenga, Nila Sathe, Stacey Springs, and Timothy J. Wilt.Published: February 2, 2018.
- Assessing Harms When Comparing Medical InterventionsRoger Chou, Naomi Aronson, David Atkins, Afisi S Ismaila, Pasqualina Santaguida, David H Smith, Evelyn Whitlock, Timothy J Wilt, and David Moher.Published: November 18, 2008.
- Quantitative Synthesis—An UpdateInvestigators: Sally C. Morton, M. Hassan Murad, Elizabeth O’Connor, Christopher S. Lee, Marika Booth, Benjamin W. Vandermeer, Jonathan M. Snowden, Kristen E. D’Anci, Rongwei Fu, Gerald Gartlehner, Zhen Wang, and Dale W. Steele.Published: February 23, 2018.
- Introduction
- Chapter 1. Decision to Combine TrialsElizabeth O’Connor, Kristen E. D’Anci, and Jonathan M. Snowden.
- Chapter 2. Optimizing Use of Effect Size DataChristopher S. Lee and Benjamin W. Vandermeer.
- Chapter 3. Choice of Statistical Model for Combining StudiesRongwei Fu, Marika Booth, and Dale W. Steele.
- Chapter 4. Quantifying, Testing, and Exploring Statistical HeterogeneityChristopher S. Lee.
- Chapter 5. Network Meta-Analysis (Mixed Treatment Comparisons/Indirect Comparisons)M. Hassan Murad, Gerald Gartlehner, Rongwei Fu, and Zhen Wang.
- Future Research Suggestions
- References
- Grading the Strength of a Body of Evidence When Assessing Health Care Interventions for the Effective Health Care Program of the Agency for Healthcare Research and Quality: An UpdateNancy D Berkman, Kathleen N Lohr, Mohammed Ansari, Marian McDonagh, Ethan Balk, Evelyn Whitlock, James Reston, Eric Bass, Mary Butler, Gerald Gartlehner, Lisa Hartling, Robert Kane, Melissa McPheeters, Laura Morgan, Sally C Morton, Meera Viswanathan, Priyanka Sista, and Stephanie Chang.Published: November 18, 2013.
- Using Existing Systematic Reviews To Replace De Novo Processes in Conducting Comparative Effectiveness ReviewsC Michael White, Stanley Ip, Melissa McPheeters, Tim S Carey, Roger Chou, Kathleen N Lohr, Karen Robinson, Kathryn McDonald, and Evelyn Whitlock.Published: October 5, 2009.
- Integrating Bodies of Evidence: Existing Systematic Reviews and Primary StudiesKaren A Robinson, Roger Chou, Nancy D Berkman, Sydne J Newberry, Rongwei Fu, Lisa Hartling, Donna Dryden, Mary Butler, Michelle Foisy, Johanna Anderson, Makalapua Motu'apuaka, Rose Relevo, Jeanne-Marie Guise, and Stephanie Chang.Published: February 26, 2015.
- Updating Comparative Effectiveness Reviews: Current Efforts in AHRQ’s Effective Health Care ProgramAlexander Tsertsvadze, Margaret Maglione, Roger Chou, Chantelle Garritty, Craig Coleman, Linda Lux, Eric Bass, Howard Balshem, and David Moher.Published: July 27, 2011.
- Guidance for the Conduct and Reporting of Modeling and Simulation Studies in the Context of Health Technology AssessmentIssa J Dahabreh, Thomas A Trikalinos, Ethan M Balk, and John B Wong.Published: October 18, 2016.
- Editors' Foreword
- Introduction
- Guidance Development Process
- Principles for Good Practice in Modeling and Simulation
- Good-Practice Recommendations for Modeling and Simulation in the Context of Health Technology Assessment
- Explanation and Elaboration of Recommendations for Modeling and Simulation
- Concluding Remarks
- Bibliographic Note
- Acknowledgments
- References
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