Join the 200th Anniversary Celebration

Perspective

Comparative-Effectiveness Research — Implications of the Federal Coordinating Council's Report

Patrick H. Conway, M.D., M.Sc., and Carolyn Clancy, M.D.

N Engl J Med 2009; 361:328-330July 23, 2009

Article

Despite a plethora of diagnostic and treatment options, practical information that can guide health care choices for an individual patient are often elusive, and the resultant clinical uncertainty is an important factor driving regional variations in clinical practice. Clinicians and patients need to know not only that a treatment works on average but also which interventions work best for specific types of patients. Comparative patient-centered information is essential to translating new discoveries into better health outcomes, accelerating the application of beneficial innovations, and delivering the right treatment to the right patient at the right time.1

The American Recovery and Reinvestment Act (ARRA) provided support for comparative-effectiveness research (CER), which has recently been referred to as “patient-centered outcomes research.”2 The purpose of CER is to provide information that helps clinicians and patients choose the options that best fit the individual patient's needs and preferences. CER is already conducted by the Agency for Healthcare Research and Quality (AHRQ), the National Institutes of Health (NIH), the Department of Veterans Affairs (VA), and others, but the ARRA substantially increased the federal investment in CER, providing $400 million for the Office of the Secretary in the Department of Health and Human Services (DHHS), $400 million to the NIH, and $300 million to the AHRQ. It also established the Federal Coordinating Council for Comparative Effectiveness Research to foster optimal coordination of CER conducted or supported by the federal government. On June 30, the Council released a report to President Barack Obama and the Congress on its recommendations for CER funding priorities for the Office of the Secretary.3 This report, along with one from the Institute of Medicine (described by Iglehart on pages 325–328), will inform the operational plan of the secretary of health and human services for $1.1 billion in CER funds. We serve as the Council's executive director and the director of AHRQ, but the report reflects public input and contributions of all Council members and many others.

The Council's vision is to lay the foundation and build the infrastructure for CER to develop and prosper so it can inform decisions made by patients and clinicians. The Council specifically identified high-priority research gaps and one-time investments in infrastructure that would accelerate the conduct of CER by multiple researchers. We set three main objectives: to develop a definition, establish prioritization criteria, create a strategic framework, and identify priorities for CER; to foster optimal coordination of CER conducted or supported by federal departments; and to formulate recommendations for investing the $400 million provided to the Office of the Secretary.

To establish a transparent, collaborative process for making recommendations, the Council sought public input through three public listening sessions and extensive commenting on its public Web site. The Council heard from hundreds of diverse stakeholders and received feedback on draft documents.

We defined CER as the conduct and synthesis of research comparing the benefits and harms of various interventions and strategies for preventing, diagnosing, treating, and monitoring health conditions in real-world settings. The purpose of this research is to improve health outcomes by developing and disseminating evidence-based information to patients, clinicians, and other decision makers about which interventions are most effective for which patients under specific circumstances. The Council established explicit threshold and prioritization criteria to guide recommendations for funding priorities (see Threshold and Prioritization Criteria). The Council also developed a strategic framework for categorizing current CER activity, identifying gaps, and informing our recommendations for priorities. The framework supports immediate decisions and provides the foundation for longer-term strategic decisions on CER priorities and related infrastructure.

CER investments and activities can be grouped into four major categories: research, human and scientific capital (e.g., training of new researchers or development of methods), data infrastructure (e.g., distributed data networks, registries, or linked longitudinal administrative data), and dissemination and translation into practice. Investments in cross-cutting “themes,” including high-priority populations, conditions, or types of interventions, could span more than one category of activity, and investments should be leveraged for additional uses (e.g., data-infrastructure work that also supports research on high-priority populations).

In making recommendations, the Council aimed to respond to the needs of patients and clinicians, balance the achievement of near-term results with the building of longer-term opportunities, and capture the unique role that the ARRA funds could play in filling gaps and building the foundation for future CER. The Council recommended that the primary area of investment for this funding be data infrastructure, which could include projects such as the linking of current data sources to enable researchers to answer comparative-effectiveness questions or the development of distributed electronic-data networks, patient registries, or partnerships with the private sector.

Recommendations for secondary investments include the dissemination and translation of CER findings and investment in cross-cutting projects focused on high-priority populations or interventions. The specific populations identified by the Council were racial and ethnic minorities, persons with disabilities, persons with multiple chronic conditions (including coexisting mental illness), the elderly, and children. CER will be an important tool for informing decisions that affect these populations and reducing health disparities. High-priority interventions include medical and assistive devices, procedures or surgery, behavioral changes, prevention, and delivery systems. For example, behavioral changes and prevention have the potential to decrease the rates of obesity and smoking and boost adherence to medical therapies. Delivery-system research, such as studies comparing various processes for hospital discharge or differing community-based care models or studies testing the health effects of various medical-home models, have substantial potential to drive better health outcomes.

The Office of the Secretary's funds may also play a supporting role in research and human and scientific capital. Because the Council anticipates that the AHRQ, the NIH, and the VA will continue to play major roles in these essential CER activities, the Secretary's funding would probably focus on gaps in their portfolios.

The expansion of CER, or patient-centered outcomes research, has at least three major implications. First, the results of such research will better inform a broad array of health care decisions. Second, the ARRA's provision for CER represents a significant investment in one of the translational steps toward improving the quality and value of health care for all.4 Health services research, of which CER is only a part, has been estimated to account for 1.5% of total biomedical research expenditures and 0.1% of total U.S. expenditures on health care,5 but the ARRA funding may reflect a trend toward increased investment in these translational building blocks for improving health. This investment creates the potential for training a new cadre of researchers, invigorating current researchers, and improving health outcomes.

Third, CER has the potential to drive high-value innovation and to enable the practice of more personalized medicine based on subgroups of patients. The goal of randomized efficacy trials is often to prove that a treatment is superior to placebo. But more important questions may be whether the intervention is better than other available interventions for specific populations and whether we can identify the subgroups of patients who will benefit the most from (or are the most likely to be harmed by) specific interventions. CER must focus on informing the care of people who are often excluded from trials (e.g., those with multiple chronic conditions) and identifying subgroups of patients (e.g., the elderly, racial and ethnic minorities, or people with a particular genetic marker) whose response to a given therapy or intervention may be different from that of the “average” patient in a trial.

This unique opportunity to invest in a major component of the scientific infrastructure for improving health care delivery will be indispensable for achieving a health care system that delivers affordable, high-quality care for all Americans. Physicians and patients deserve the best patient-centered evidence regarding what works, so that Americans can receive care of the highest quality and the best possible outcomes can be achieved.

Threshold and Prioritization Criteria Outlined by the Federal Coordinating Council for Comparative Effectiveness Research.*

Minimum threshold criteria for projects (must be met for a project to be considered)

• Inclusion within statutory limits of ARRA and the Council's definition of CER

• Potential to inform decision making by patients, clinicians, or other stakeholders

• Responsiveness to expressed needs of patients, clinicians, or other stakeholders

• Feasibility of research topic

Prioritization criteria for scientifically meritorious research and investments

• Potential impact (e.g., prevalence of condition, burden of disease, variability among outcomes, costs)

• Potential for evaluating comparative effectiveness among diverse populations and engaging communities in research

• Addressing of uncertainty within the clinical and public health communities regarding management decisions and variability in practice

• Addressing of a need or gap unlikely to be addressed through other organizations

• Potential for multiplicative effect (e.g., laying of a foundation for future CER, such as data infrastructure and methods development and training, or generating of additional investment outside government)

* ARRA denotes the American Recovery and Reinvestment Act, and CER comparative-effectiveness research.

The views expressed in this article are those of the authors and do not represent official policy of the DHHS or the AHRQ.

No potential conflict of interest relevant to this article was reported.

The entire Federal Coordinating Council and staff contributing to the Council report include Peter Delaney, Ezekiel Emanuel, Jesse Goodman, Garth Graham, Anne Haddix, Deborah Hopson, David Hunt, Michael Kilpatrick, Joel Kupersmith, Michael Marge, Elizabeth Nabel, James Scanlon, Neera Tanden, Tom Valuck, Cecilia Rivera Casale, Kelley Brix, Margaret Cary, Rosaly Correa-de-Araujo, Elisabeth Handley, Lynn Hudson, Michael Millman, Kate Goodrich, Lauren Hunt, John Poelman, Daria Steigman, Caroline Taplin, and Jordan VanLare.

This article (10.1056/NEJMp0905631) was published on June 30, 2009, at NEJM.org.

Source Information

From the Department of Health and Human Services, Washington, DC (P.H.C., C.C.); Cincinnati Children's Hospital Medical Center, Cincinnati (P.H.C.); and the Agency for Healthcare Research and Quality, Rockville, MD (C.C.).

References

References

  1. 1

    Conway PH, Clancy C. Transformation of health care at the front line. JAMA 2009;301:763-765
    CrossRef | Web of Science | Medline

  2. 2

    Patient-Centered Outcomes Research Act of 2009. (Accessed July 6, 2009, at http://finance.senate.gov/sitepages/leg/LEG%202009/060909%20The%20Patient-Centered%20Outcomes%20Research%20Act%20of%202009.pdf.)

  3. 3

    Federal Coordinating Council for Comparative Effectiveness Research. Report to the President and Congress. Washington, DC: Department of Health and Human Services, June 2009. (Accessed July 6, 2009, at http://www.hhs.gov/recovery/programs/cer/cerannualrpt.pdf.)

  4. 4

    Dougherty D, Conway PH. The “3T's” road map to transform US health care: the “how” of high-quality care. JAMA 2008;299:2319-2321
    CrossRef | Web of Science | Medline

  5. 5

    Moses H III, Dorsey ER, Matheson DH, Thier SO. Financial anatomy of biomedical research. JAMA 2005;294:1333-1342
    CrossRef | Web of Science | Medline

Citing Articles (32)

Citing Articles

  1. 1

    Nicholas F. Marko, Robert J. Weil. (2012) An Introduction to Comparative Effectiveness Research. Neurosurgery 70:2, 425-434
    CrossRef

  2. 2

    Mark A. Stein, Irwin D. Waldman, Elizabeth Charney, Subhash Aryal, Craig Sable, Reut Gruber, Jeffrey H. Newcorn. (2011) Dose Effects and Comparative Effectiveness of Extended Release Dexmethylphenidate and Mixed Amphetamine Salts. Journal of Child and Adolescent Psychopharmacology 21:6, 581-588
    CrossRef

  3. 3

    Raymond C. Rosen, Brian P. Marx, Nancy N. Maserejian, Darren W. Holowka, Margaret A. Gates, Lynn A. Sleeper, Jennifer J. Vasterling, Han K. Kang, Terence M. Keane. (2011) Project VALOR: design and methods of a longitudinal registry of post-traumatic stress disorder (PTSD) in combat-exposed Veterans in the Afghanistan and Iraqi military theaters of operations. International Journal of Methods in Psychiatric Researchn/a-n/a
    CrossRef

  4. 4

    Kurt C. Stange. (2011) Refocusing Knowledge Generation, Application, and Education. American Journal of Preventive Medicine 41:4, S164-S169
    CrossRef

  5. 5

    Paul Porensky, E Antonio Chiocca. (2011) Performing Quality Research in an Era of Reforms. Neurosurgery 69, 72-78
    CrossRef

  6. 6

    Mark D. Neuman, Ann M. Kennelly, Laura L. Tosi. (2011) Breakout Session: Sex/Gender and Racial/Ethnic Disparities in the Care of Osteoporosis and Fragility Fractures. Clinical Orthopaedics and Related Research® 469:7, 1936-1940
    CrossRef

  7. 7

    Eugene C. Rich, Ann C. Bonham, Darrell G. Kirch. (2011) The Implications of Comparative Effectiveness Research for Academic Medicine. Academic Medicine 86:6, 684-688
    CrossRef

  8. 8

    Carolyn M. Clancy. (2011) Commentary: Precision Science and Patient-Centered Care. Academic Medicine 86:6, 667-670
    CrossRef

  9. 9

    Brian M. Ilfeld, NavParkash S. Sandhu, Vanessa J. Loland, Sarah J. Madison, Preetham J. Suresh, Edward R. Mariano, Michael L. Bishop, Alexandra K. Schwartz, Daniel K. Lee. (2011) Ultrasound-Guided (Needle-in-Plane) Perineural Catheter Insertion. Regional Anesthesia and Pain Medicine 36:3, 261-265
    CrossRef

  10. 10

    Gláucia Fernandes Cota, Teresa Cristina de Abreu Ferrari, Marcos Roberto de Sousa. (2011) HIV testing strategies: test performance is important, but not sufficient. Expert Review of Anti-infective Therapy 9:2, 207-214
    CrossRef

  11. 11

    Margaret Olivia Little, Anne Drapkin Lyerly, Ruth R. Faden. (2011) Moving Forward With Research Involving Pregnant Women: A Critical Role for Wisdom From the Field. AJOB Primary Research 2:1, 15-17
    CrossRef

  12. 12

    Robert W Yeh, Malini Chandra, Charles E McCulloch, Alan S Go. (2011) Accounting for the mortality benefit of drug-eluting stents in percutaneous coronary intervention: a comparison of methods in a retrospective cohort study. BMC Medicine 9:1, 78
    CrossRef

  13. 13

    Grant M. Mussman, Patrick H. Conway. (2011) Pediatric hospitalist systems versus traditional models of care: Effect on quality and cost outcomes. Journal of Hospital Medicinen/a-n/a
    CrossRef

  14. 14

    Chu-Lin Tsai. (2010) Pharmacoepidemiologic study of acute exacerbations of COPD: challenges and opportunities. Expert Review of Anti-infective Therapy 8:11, 1221-1224
    CrossRef

  15. 15

    Adrian R. Levy, Craig Mitton, Karissa M. Johnston, Brian Harrigan, Andrew H. Briggs. (2010) International Comparison of Comparative Effectiveness Research in Five Jurisdictions. PharmacoEconomics 28:10, 813-830
    CrossRef

  16. 16

    Michael S. Okun, Andrew Siderowf, John G. Nutt, Gerald T. O’Conner, Bastiaan R. Bloem, Elaine M. Olmstead, Mark Guttman, Tanya Simuni, Eric Cheng, Elaine V. Cohen, Sotirios Parashos, Laura Marsh, Irene A. Malaty, Nir Giladi, Peter Schmidt, Joyce Oberdorf. (2010) Piloting the NPF data-driven quality improvement initiative. Parkinsonism & Related Disorders 16:8, 517-521
    CrossRef

  17. 17

    Emily E. Namey, Anne Drapkin Lyerly. (2010) The meaning of “control” for childbearing women in the US. Social Science & Medicine 71:4, 769-776
    CrossRef

  18. 18

    Carolyn Rouse. (2010) Patient and practitioner noncompliance: rationing, therapeutic uncertainty, and the missing conversation. Anthropology & Medicine 17:2, 187-200
    CrossRef

  19. 19

    James X. Zhang. (2010) Developing Simulation Models to Assess Long-term Comparative Benefits of Surgeries. Journal of Surgical Research 162:2, 163-164
    CrossRef

  20. 20

    Richard M Bergenstal, Carol Wysham, Leigh MacConell, Jaret Malloy, Brandon Walsh, Ping Yan, Ken Wilhelm, Jim Malone, Lisa E Porter. (2010) Efficacy and safety of exenatide once weekly versus sitagliptin or pioglitazone as an adjunct to metformin for treatment of type 2 diabetes (DURATION-2): a randomised trial. The Lancet 376:9739, 431-439
    CrossRef

  21. 21

    Livio Garattini, Daniela Koleva, Gianluigi Casadei. (2010) Modeling in pharmacoeconomic studies: Funding sources and outcomes. International Journal of Technology Assessment in Health Care 26:03, 330-333
    CrossRef

  22. 22

    Nilay D. Shah, Rebecca J. Mullan, Maggie Breslin, Barbara P. Yawn, Henry H. Ting, Victor M. Montori. (2010) Translating Comparative Effectiveness Into Practice. Medical Care 48, S153-S158
    CrossRef

  23. 23

    Raymond C. Rosen, Megan K. Connor, Nancy N. Maserejian. (2010) The HSDD Registry for Women: A Novel Patient Registry for Women with Generalized Acquired Hypoactive Sexual Desire Disorder. Journal of Sexual Medicine 7:5, 1747-1756
    CrossRef

  24. 24

    Kate Goodrich, Patrick H. Conway. (2010) Comparative effectiveness research: Implications for hospital medicine. Journal of Hospital Medicine 5:5, 257-260
    CrossRef

  25. 25

    Karen Schoelles, Rita H. Pickler. (2010) Comparative Effectiveness Research and Pediatric Health Care. Journal of Pediatric Health Care 24:3, 207-210
    CrossRef

  26. 26

    VanLare, Jordan M., Conway, Patrick H., Sox, Harold C., . (2010) Five Next Steps for a New National Program for Comparative-Effectiveness Research. New England Journal of Medicine 362:11, 970-973
    Full Text

  27. 27

    Carolyn M. Clancy. (2010) Comparative effectiveness research: Promising area of study for pharmacists. Journal of the American Pharmacists Association 50:2, 131-133
    CrossRef

  28. 28

    Erik Fernandez y Garcia, Hien Nguyen, Naihua Duan, Nicole B. Gabler, Richard L. Kravitz. (2010) Assessing Heterogeneity of Treatment Effects: Are Authors Misinterpreting Their Results?. Health Services Research 45:1, 283-301
    CrossRef

  29. 29

    , George L. Jackson, Adam A. Powell, Diana L. Ordin, James E. Schlosser, Jeffery Murawsky, Janis Hersh, George Ponte, Leah L. Zullig, Fabiane Erb, Renee Parlier, David A. Haggstrom, Nancy Koets, Peter D. Mills, Joseph Francis, Michael J. Kelley, Michael L. Davies, Dawn Provenzale. (2010) Developing and Sustaining Quality Improvement Partnerships in the VA: The Colorectal Cancer Care Collaborative. Journal of General Internal Medicine 25:S1, 38-43
    CrossRef

  30. 30

    Jodi B. Segal. (2009) Need for comparative effectiveness research to address clinical questions in hematology. American Journal of Hematology 84:10, 627-628
    CrossRef

  31. 31

    Patricia W Stone. (2009) Economic burden of healthcare-associated infections: an American perspective. Expert Review of Pharmacoeconomics & Outcomes Research 9:5, 417-422
    CrossRef

  32. 32

    Iglehart, John K.. (2009) Prioritizing Comparative-Effectiveness Research — IOM Recommendations. New England Journal of Medicine 361:4, 325-328
    Full Text