Comparative effectiveness research

Comparative effectiveness research (CER) is the direct comparison of existing health care interventions to determine which work best for which patients and which pose the greatest benefits and harms. The core question of comparative effectiveness research is which treatment works best, for whom, and under what circumstances.[1] Engaging various stakeholders in this process, while difficult, makes research more applicable through providing information that improves patient decision making.[2]

The Institute of Medicine committee has defined CER as "the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care. The purpose of CER is to assist consumers, clinicians, purchasers, and policy makers to make informed decisions that will improve health care at both the individual and population levels."[3]

Comparative effectiveness research adopts many of the same approaches and methodologies as cost-effectiveness analysis, including the use of incremental cost-effectiveness ratios (ICERs) and quality-adjusted life years (QALYs). An important component of CER is the concept of pragmatic randomised controlled trials.[4] These clinical research trials measure the benefit produced by the treatment in routine clinical practice.

In the United States

Researchers at the Dartmouth Institute for Health Policy, in addition to the Congressional Budget Office, have documented a large gap in the quality and outcomes and health services being delivered. Unwarranted variation in medical treatment, cost, and outcomes suggests a substantial area for improvement and savings in our health care system. Statistical findings show that "patients in the highest-spending regions of the country receive 60 percent more health services than those in the lowest-spending regions, yet this additional care is not associated with improved outcomes."[5] New models of shared decision making promise to bring greater emphasis to informed patient choice for "preference-sensitive" care, improving quality, safety, and effectiveness of health care by providing both patients and their health care providers with the evidence to assist in informed decision making.[5]

In 2009, $1.1 billion of President Barack Obama's stimulus package was earmarked for CER.[6] There was initial disagreement regarding whether CER will be used to limit patient health care options,[7] or help lower health care costs.[8] Ultimately the bill approved by Senate contains measures to utilize CER as a means for increasing quality while reducing rising costs.[9][10][11]

Several groups have emerged to provide leadership in the area of Comparative Effectiveness Research. The Agency for Healthcare Research and Quality (AHRQ) is a federal agency focused on health care quality. The Institute for Clinical and Economic Review provides independent evaluation of the clinical effectiveness and comparative value of health care interventions, while also overseeing the New England Comparative Effectiveness Public Advisory Council (CEPAC), an independent body of physicians and patient representatives that aids patients, physicians and policymakers in the application and use of comparative effectiveness information to improve the quality and value of healthcare in the region.

The Patient-Centered Outcomes Research Institute (PCORI) was established to conduct comparative effectiveness research but the Patient Protection and Affordable Care Act (PPACA) prohibits it from using cost per QALY ICER thresholding. The PPACA states:

The Patient-Centered Outcomes Research Institute...shall not develop or employ a dollars per quality adjusted life year (or similar measure that discounts the value of a life because of an individual's disability) as a threshold to establish what type of health care is cost effective or recommended.

Comparing key measures utilized in comparative effectiveness research

The study of comparative effectiveness research (CER) is composed of measures useful in determining the value of various treatment options to help patients make more informed decisions in their own care. While each of these measures provides a useful comparison of one treatment option versus another, they require different inputs into their respective calculations, thus the potential for producing conflicting results. Additionally, some health conditions, such as for prostate cancer treatment, lack patient-centered outcomes to inform comparative effectiveness research.[12]

While there remains a widespread lack of understanding on the potential impact of CER in the U.S. and a reluctance to fully adopt the concept as part of our healthcare system, research studies within this area continue to expand across health conditions.[13][14][15]

References
  1. Greenfield S, Rich E (January 2012). "Welcome to the Journal of Comparative Effectiveness Research". Journal of Comparative Effectiveness Research. 1 (1): 1–3. doi:10.2217/cer.11.13. PMID 24237290.
  2. Hong YD, Goto D, Mullins CD (May 2017). "Querying stakeholders to inform comparative effectiveness research". Journal of Comparative Effectiveness Research. 6 (3): 265–273. doi:10.2217/cer-2016-0082. PMC 5680160. PMID 28485177.
  3. Initial National Priorities for Comparative Effectiveness Research. Washington, D.C.: National Academies Press. 2009-10-14. doi:10.17226/12648. ISBN 9780309138369.
  4. Roland M, Torgerson DJ (January 1998). "What are pragmatic trials?". BMJ. 316 (7127): 285. doi:10.1136/bmj.316.7127.285. PMC 2665488. PMID 9472515.
  5. Institute of Medicine (2009). Read "Initial National Priorities for Comparative Effectiveness Research" at NAP.edu. doi:10.17226/12648. ISBN 978-0-309-13836-9 – via www.nap.edu.
  6. Pear R (February 15, 2009). "U.S. to Compare Medical Treatments". The New York Times. Retrieved July 16, 2016.
  7. Mundy A (February 10, 2009). "Drug Makers Fight Stimulus Provision". The Wall Street Journal. Retrieved July 16, 2016.
  8. Garber AM, Tunis SR (May 2009). "Does comparative-effectiveness research threaten personalized medicine?". The New England Journal of Medicine. 360 (19): 1925–7. doi:10.1056/NEJMp0901355. PMID 19420360.
  9. Kotok A (March 22, 2010). "Comparative Effectiveness Research Boosted in Health Care Bill". Science Magazine. Retrieved July 16, 2016.
  10. "CQ.com - Login". www.cq.com.
  11. Committee on Comparative Effectiveness Research Prioritization; Board on Health Care Services; Institute of Medicine (2009). Initial National Priorities for Comparative Effectiveness Research. The National Assemblies Press. doi:10.17226/12648. ISBN 978-0-309-13836-9.CS1 maint: uses authors parameter (link)
  12. Jayadevappa R, Chhatre S, Wong YN, Wittink MN, Cook R, Morales KH, et al. (May 2017). "Comparative effectiveness of prostate cancer treatments for patient-centered outcomes: A systematic review and meta-analysis (PRISMA Compliant)". Medicine. 96 (18): e6790. doi:10.1097/MD.0000000000006790. PMC 5419922. PMID 28471976.
  13. "PCORnet: the National Patient-Centered Clinical Research Network". PCORnet. Retrieved 2019-09-05.
  14. Mushlin AI, Ghomrawi H (January 2010). "Health care reform and the need for comparative-effectiveness research". The New England Journal of Medicine. 362 (3): e6. doi:10.1056/nejmp0912651. PMID 20054035.
  15. Inge, Thomas H.; Coley, R. Yates; Bazzano, Lydia A.; Xanthakos, Stavra A.; McTigue, Kathleen; Arterburn, David; Williams, Neely; Wellman, Rob; Coleman, Karen J.; Courcoulas, Anita; Desai, Nirav K. (2018). "Comparative effectiveness of bariatric procedures among adolescents: the PCORnet bariatric study". Surgery for Obesity and Related Diseases. 14 (9): 1374–1386. doi:10.1016/j.soard.2018.04.002. PMC 6165694. PMID 29793877.
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