Perspective

Legislating against Use of Cost-Effectiveness Information

Peter J. Neumann, Sc.D., and Milton C. Weinstein, Ph.D.

N Engl J Med 2010; 363:1495-1497October 14, 2010DOI: 10.1056/NEJMp1007168

Article

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. The Secretary shall not utilize such an adjusted life year (or such a similar measure) as a threshold to determine coverage, reimbursement, or incentive programs under title XVIII.

— The Patient Protection and Affordable Care Act1

In 1996, after 2 years of deliberation, the U.S. Panel on Cost-Effectiveness in Health and Medicine, composed of physicians, health economists, ethicists, and other health policy experts, recommended that cost-effectiveness analyses should use quality-adjusted life-years (QALYs) as a standard metric for identifying and assigning value to health outcomes.2 The recently enacted Patient Protection and Affordable Care Act (ACA) created a Patient-Centered Outcomes Research Institute (PCORI) to conduct comparative-effectiveness research (CER) but prohibited this institute from developing or using cost-per-QALY thresholds. The two events serve as revealing bookends to a long-standing debate over the role and shape of cost-effectiveness analysis in U.S. health care.

QALYs provide a convenient yardstick for measuring and comparing health effects of varied interventions across diverse diseases and conditions. They represent the effects of a health intervention in terms of the gains or losses in time spent in a series of “quality-weighted” health states. QALYs are used in cost-effectiveness analyses (termed “cost-utility analyses” when QALYs are included) to inform resource-allocation decisions: the cost-per-QALY ratios of different interventions are compared in order to determine the most efficient ways of furnishing health benefits. In contrast, other health outcomes are generally expressed in disease-specific terms, such as incidence of cardiovascular events, cancer progression, intensity of pain, or loss of function. Though useful for measuring the effects of particular treatments, these outcomes do not permit comparisons among diseases and conditions or between treatment and prevention.3

Researchers have published thousands of cost-utility studies in leading medical and health policy journals. Health policymakers around the world have used such analyses to inform clinical guidelines and reimbursement decisions. The U.S. government, through agencies such as the Agency for Healthcare Research and Quality, the Centers for Disease Control and Prevention, and the National Institutes of Health, has sponsored cost-utility analyses. Medical specialty societies have cited cost-utility studies in support of clinical guidelines.

The ACA specifically forbids the use of cost per QALY “as a threshold.” The precise intent and consequences of this language are unclear. One might interpret it to mean that the PCORI, or its contractors or grantees, can still calculate cost-per-QALY ratios as long as they are not compared with a threshold (e.g., $100,000 per QALY) or used to make a recommendation based on such a threshold. Comparisons of cost-per-QALY ratios across interventions could still be useful to decision makers even without the invocation of an explicit threshold. However, the ACA suggests a broader ban on the use of cost-utility analyses — and this could have a chilling effect on the field.

The ACA's language might be seen as symptomatic of the legislation's aversion to policies that critics might see as enacting “big-government” health care or “death panels.” It may reflect a certain xenophobia toward the kinds of approaches used in Britain, where the National Institute of Health and Clinical Excellence makes recommendations about technologies and services on the basis of cost-per-QALY thresholds. Reflecting this sentiment, the ACA creates a new CER institute that it labels “patient-centered” and states that the findings of PCORI-sponsored research cannot be construed as mandates for practice guidelines, coverage recommendations, payment, or policy recommendations.

The ban on using cost-per-QALY thresholds also seems to reflect long-standing concerns that the approach would discriminate on the basis of age and disability. The worry is that the metric unfairly favors younger and healthier populations that have more potential QALYs to gain.

To be sure, there are legitimate debates about the role of QALYs as the sole benchmark of health gains for purposes of allocating society's resources. However, acknowledging the measure's limitations, panels in the United States and Britain and at the World Health Organization have found QALYs preferable to alternative measures of health improvement.

QALYs simply give priority to interventions that offer the most health benefit in terms of measures people care about — more time spent in good health. In fact, populations with more impairment typically fare better in cost-effectiveness analyses, because they have more to gain from interventions; for example, it is generally less cost-effective to screen or treat healthier persons than persons who have poorer health at baseline or who are at greater risk for complications.

Moreover, a ban on valuing life extension presents its own ethical dilemmas. Taken literally, it means that spending resources to extend by a month the life of a 100-year-old person who is in a vegetative state cannot be valued differently from spending resources to extend the life of a child by many healthy years. Though the ACA may be seeking to avert discrimination, it instead helps to perpetuate the current system of implicit rationing and hidden biases.

The antagonism toward cost-per-QALY comparisons also suggests a bit of magical thinking — the notion that the country can avoid the difficult trade-offs that cost-utility analysis helps to illuminate. It pretends that we can avert our eyes from such choices, and it kicks the can of cost-consciousness farther down the road. It represents another example of our country's avoidance of unpleasant truths about our resource constraints. Although opportunities undoubtedly exist to eliminate health care waste, the best way to improve health and save money at the same time is often to redirect patient care resources from interventions with a high cost per QALY to those with a lower cost per QALY.4 At a time when health care costs loom as the greatest challenge facing our country's fiscal well-being, legislating against the use of the standard metric in the field of cost-effectiveness analysis is regrettable.

The ACA states that the PCORI is intended to assist patients, clinicians, purchasers, and policymakers. Yet a ban on cost-utility analysis would leave decision makers with less information with which to compare the relative effects of interventions across diseases. The ACA states that PCORI-produced CER is intended to inform, not mandate, decisions. Why, then, be so prescriptive about costs per QALY? Better to simply develop and disseminate the information and let decision makers choose whether or not to use it and in what settings. Decision makers could consider cost-per-QALY ratios alongside other criteria, such as the priority of an intervention for vulnerable populations and concerns about equity and fairness. How can our market-driven health system work efficiently if participants lack information about the relationship between the costs and benefits of health interventions?

As the country searches for ways to curb health care spending, consideration of the cost-effectiveness of health interventions will unavoidably be part of the health care debate, alongside considerations of possible payment- and delivery-system reforms. The use of explicit, standard metrics such as cost-per-QALY ratios has the advantage of transparency and can help direct our resources toward the greatest health gains. These kinds of analyses will therefore endure as a rough benchmark of value and as a normative guide to resource-allocation decisions. It would be unfortunate if the ACA created a barrier to their development and use.

Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

Source Information

From the Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center (P.J.N.), and the Department of Health Policy and Management, Harvard School of Public Health (M.C.W.) — both in Boston.

References

References

  1. 1

    The Patient Protection and Affordable Care Act. PL 111-148. 3-23-2010.

  2. 2

    Weinstein MC, Siegel JE, Gold MR, Kamlet MS, Russell LB. Recommenda-tions of the Panel on Cost-effectiveness in Health and Medicine. JAMA 1996;276:1253-1258
    CrossRef | Web of Science | Medline

  3. 3

    Neumann PJ, Greenberg D. Is the United States ready for QALYs? Health Aff (Millwood) 2009;28:1366-1371
    CrossRef | Web of Science | Medline

  4. 4

    Weinstein MC, Skinner JA. Comparative effectiveness and health care spending -- implications for reform. N Engl J Med 2010;362:460-465
    Free Full Text | Web of Science | Medline

Citing Articles (73)

Citing Articles

  1. 1

    Ole F. Norheim. (2016) Ethical priority setting for universal health coverage: challenges in deciding upon fair distribution of health services. BMC Medicine 14:1
    CrossRef

  2. 2

    Andrea Droghetti, Jacopo Vannucci, Antonello Bufalari, Guido Bellezza, Valentina De Monte, Giuseppe Marulli, Maria Caterina Bottoli, Michele Giovanardi, Niccolò Daddi, Verena De Angelis, Franco Moriconi, Francesco Puma. (2016) Pleurodesis with Thulium Cyber Laser versus talc poudrage: a comparative experimental study. Lasers in Medical Science
    CrossRef

  3. 3

    Muhammad Kashif Riaz, Susan Bal, Trisha Wise-Draper. (2016) The impending financial healthcare burden and ethical dilemma of systemic therapy in metastatic cancer. Journal of Surgical Oncology
    CrossRef

  4. 4

    Silky Chotai, J. Alex Sielatycki, Scott L. Parker, Ahilan Sivaganesan, Harrison L. Kay, David P. Stonko, Joseph B. Wick, Matthew J. McGirt, Clinton J. Devin. (2016) Effect of obesity on cost per quality-adjusted life years gained following anterior cervical discectomy and fusion in elective degenerative pathology. The Spine Journal
    CrossRef

  5. 5

    Pari V. Pandharipande, G. Scott Gazelle. . Imaging technology assessment. 2016:, 1-9.
    CrossRef

  6. 6

    Benjamin M. Craig, Wolfgang Greiner, Derek S. Brown, Bryce B. Reeve. (2016) Valuation of Child Health-Related Quality of Life in the United States. Health Economics 25:6, 768-777
    CrossRef

  7. 7

    Jeffrey S. Hoch, Jaclyn Beca, Charlotte Chamberlain, Kelvin K.W. Chan. (2016) The right amount of chemotherapy in non-curable disease: Insights from health economics. Journal of Cancer Policy
    CrossRef

  8. 8

    Steven Sheingold, Pierre Yong. . The Affordable Care Act: Potential Impacts on Pharmaceutical Markets. 2016:, 411-430.
    CrossRef

  9. 9

    Zoltán Kaló, Adrian Gheorghe, Mirjana Huic, Marcell Csanádi, Finn Boerlum Kristensen. (2016) HTA Implementation Roadmap in Central and Eastern European Countries. Health Economics 25:10.1002/hec.v25.S1, 179-192
    CrossRef

  10. 10

    David John Mott, Mehdi Najafzadeh. (2016) Whose preferences should be elicited for use in health-care decision-making? A case study using anticoagulant therapy. Expert Review of Pharmacoeconomics & Outcomes Research 16, 33-39
    CrossRef

  11. 11

    DOMINIC WILKINSON. (2016) Ethical Dilemmas in Postnatal Treatment of Severe Congenital Hydrocephalus. Cambridge Quarterly of Healthcare Ethics 25, 84-92
    CrossRef

  12. 12

    Hanne Tønnesen, Julie Weber Egholm, Kristian Oppedal, Jes Bruun Lauritzen, Bjørn Lindegård Madsen, Bolette Pedersen. (2015) Patient education for alcohol cessation intervention at the time of acute fracture surgery: study protocol for a randomised clinical multi-centre trial on a gold standard programme (Scand-Ankle). BMC Surgery 15
    CrossRef

  13. 13

    Clinton J. Devin, Silky Chotai, Scott L. Parker, Lindsay Tetreault, Michael G. Fehlings, Matthew J. McGirt. (2015) A Cost-Utility Analysis of Lumbar Decompression With and Without Fusion for Degenerative Spine Disease in the Elderly. Neurosurgery 77, S116-S124
    CrossRef

  14. 14

    Dexter Bateman, Matthew McDonnell, Christopher Kepler. (2015) Value and Cost Effectiveness of Common Spinal Surgical Procedures. Contemporary Spine Surgery 16, 1-7
    CrossRef

  15. 15

    Benedict U. Nwachukwu, Kevin J. Bozic. (2015) Updating Cost Effectiveness Analyses in Orthopedic Surgery: Resilience of the $50,000 per QALY Threshold. The Journal of Arthroplasty 30, 1118-1120
    CrossRef

  16. 16

    Jeanne T. Black. (2015) Capsule Commentary on Michaelidis et al., Cost-Effectiveness of Decision Support Strategies in Acute Bronchitis. Journal of General Internal Medicine
    CrossRef

  17. 17

    James D Chambers, Teja Thorat, Junhee Pyo, Peter J Neumann. (2015) The lag from FDA approval to published cost-utility evidence. Expert Review of Pharmacoeconomics & Outcomes Research 15, 399-402
    CrossRef

  18. 18

    Peter J. Neumann, Teja Thorat, Jennifer Shi, Cayla J. Saret, Joshua T. Cohen. (2015) The Changing Face of the Cost-Utility Literature, 1990–2012. Value in Health 18, 271-277
    CrossRef

  19. 19

    V. K. Srivastav, M. Tiwari. (2015) k-nearest neighbor molecular field analysis based 3D-QSAR and in silico ADME/T studies of cinnamoyl derivatives as HIV-1 integrase inhibitors. Medicinal Chemistry Research 24, 684-700
    CrossRef

  20. 20

    James D. Chambers, Michael J. Cangelosi, Peter J. Neumann. (2015) Medicare's use of cost-effectiveness analysis for prevention (but not for treatment). Health Policy 119, 156-163
    CrossRef

  21. 21

    Scott M. Stevenson, Matthew R. Danzig, Rashed A. Ghandour, Christopher M. Deibert, G. Joel Decastro, Mitchell C. Benson, James M. McKiernan. (2014) Cost-effectiveness of neoadjuvant chemotherapy before radical cystectomy for muscle-invasive bladder cancer. Urologic Oncology: Seminars and Original Investigations 32, 1172-1177
    CrossRef

  22. 22

    Richard B. North, Jane Shipley, Haibin Wang, Nagy Mekhail. (2014) A Review of Economic Factors Related to the Delivery of Health Care for Chronic Low Back Pain. Neuromodulation: Technology at the Neural Interface 17:10.1111/ner.2014.17.issue-s2, 69-76
    CrossRef

  23. 23

    James D. Chambers. (2014) Do Changes in Drug Coverage Policy Point to an Increased Role for Cost-Effectiveness Analysis in the USA?. PharmacoEconomics 32, 729-733
    CrossRef

  24. 24

    Paul A. VanderLaan, Helen H. Wang, Adnan Majid, Erik Folch. (2014) Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA): An overview and update for the cytopathologist. Cancer Cytopathology 122:8, 561-576
    CrossRef

  25. 25

    Davina V. Tolbert, Kathryn E. McCollister, William G. LeBlanc, David J. Lee, Lora E. Fleming, Peter Muennig. (2014) The economic burden of disease by industry: Differences in quality-adjusted life years and associated costs. American Journal of Industrial Medicine 57:10.1002/ajim.v57.7, 757-763
    CrossRef

  26. 26

    Gwyn Bevan, Lawrence D. Brown. (2014) The political economy of rationing health care in England and the US: the ‘accidental logics’ of political settlements. Health Economics, Policy and Law 9, 273-294
    CrossRef

  27. 27

    Michael Schlander, Silvio Garattini, Søren Holm, Peter Kolominsky-Rabas, Erik Nord, Ulf Persson, Maarten Postma, Jeff Richardson, Steven Simoens, Oriol de Solà Morales, Keith Tolley, Mondher Toumi. (2014) Incremental cost per quality-adjusted life year gained? The need for alternative methods to evaluate medical interventions for ultra-rare disorders. Journal of Comparative Effectiveness Research 3, 399-422
    CrossRef

  28. 28

    Matthew D. Adler, James K. Hammitt, Nicolas Treich. (2014) The social value of mortality risk reduction: VSL versus the social welfare function approach. Journal of Health Economics 35, 82-93
    CrossRef

  29. 29

    Kathryn A Phillips, Julie Ann Sakowski, Julia Trosman, Michael P Douglas, Su-Ying Liang, Peter Neumann. (2014) The economic value of personalized medicine tests: what we know and what we need to know. Genetics in Medicine 16, 251-257
    CrossRef

  30. 30

    Kalipso Chalkidou, Patricio Marquez, Preet K Dhillon, Yot Teerawattananon, Thunyarat Anothaisintawee, Carlos Augusto Grabois Gadelha, Richard Sullivan. (2014) Evidence-informed frameworks for cost-effective cancer care and prevention in low, middle, and high-income countries. The Lancet Oncology 15, e119-e131
    CrossRef

  31. 31

    Jeffrey Peppercorn, S Yousuf Zafar, Kevin Houck, Peter Ubel, Neal J Meropol. (2014) Does comparative effectiveness research promote rationing of cancer care?. The Lancet Oncology 15, e132-e138
    CrossRef

  32. 32

    Bincy P. Abraham, Joseph H. Sellin. (2014) Fecal Calprotectin: Controlling the Cost of Care. Clinical Gastroenterology and Hepatology 12, 263-264
    CrossRef

  33. 33

    Chete M Eze-Nliam, Zugui Zhang, Sandra A Weiss, William S Weintraub. (2014) Cost–effectiveness assessment of cardiac interventions: determining a socially acceptable cost threshold. Interventional Cardiology 6, 45-55
    CrossRef

  34. 34

    Afschin Gandjour. (2014) Welfare gains and losses caused by clinical practice guidelines. Expert Review of Pharmacoeconomics & Outcomes Research 14, 27-33
    CrossRef

  35. 35

    Yi-Lwun Ho, Jiun-Yu Yu, Yen-Hung Lin, Ying-Hsien Chen, Ching-Chang Huang, Tse-Pin Hsu, Pao-Yu Chuang, Chi-Sheng Hung, Ming-Fong Chen. (2014) Assessment of the Cost-Effectiveness and Clinical Outcomes of a Fourth-Generation Synchronous Telehealth Program for the Management of Chronic Cardiovascular Disease. Journal of Medical Internet Research 16, e145
    CrossRef

  36. 36

    Mehlika Toy. (2013) Cost-effectiveness of viral hepatitis B & C treatment. Best Practice & Research Clinical Gastroenterology 27, 973-985
    CrossRef

  37. 37

    Kevin J. Renfree, Steven J. Hattrup, Yu-Hui H. Chang. (2013) Cost utility analysis of reverse total shoulder arthroplasty. Journal of Shoulder and Elbow Surgery 22, 1656-1661
    CrossRef

  38. 38

    Marissa Janine Carter. (2013) Health Economics Information in Wound Care: The Elephant in the Room. Advances in Wound Care 2, 563-570
    CrossRef

  39. 39

    Peter J Neumann, Cayla J Saret. (2013) A survey of individuals in US-based pharmaceutical industry HEOR departments: attitudes on policy topics. Expert Review of Pharmacoeconomics & Outcomes Research 13, 657-661
    CrossRef

  40. 40

    Wendy J Ungar, Lisa A Prosser, Heather F Burnett. (2013) Values and evidence colliding: health technology assessment in child health. Expert Review of Pharmacoeconomics & Outcomes Research 13, 417-419
    CrossRef

  41. 41

    C. Blomstrom Lundqvist, A. Auricchio, J. Brugada, G. Boriani, J. Bremerich, J. A. Cabrera, H. Frank, M. Gutberlet, H. Heidbuchel, K.-H. Kuck, P. Lancellotti, F. Rademakers, G. Winkels, C. Wolpert, P. E. Vardas. (2013) The use of imaging for electrophysiological and devices procedures: a report from the first European Heart Rhythm Association Policy Conference, jointly organized with the European Association of Cardiovascular Imaging (EACVI), the Council of Cardiovascular Imaging and the European Society of Cardiac Radiology. Europace 15, 927-936
    CrossRef

  42. 42

    R. E. Glasgow, V. P. Doria-Rose, M. J. Khoury, M. Elzarrad, M. L. Brown, K. C. Stange. (2013) Comparative Effectiveness Research in Cancer: What Has Been Funded and What Knowledge Gaps Remain?. JNCI Journal of the National Cancer Institute 105, 766-773
    CrossRef

  43. 43

    Neal R. Barshes, C. Keith Ozaki, Panos Kougias, Michael Belkin. (2013) A cost-effectiveness analysis of infrainguinal bypass in the absence of great saphenous vein conduit. Journal of Vascular Surgery 57, 1466-1470
    CrossRef

  44. 44

    Jonathan D. Campbell, Judy Zerzan, Louis P. Garrison, Anne M. Libby. (2013) Comparative-Effectiveness Research to Aid Population Decision Making by Relating Clinical Outcomes and Quality-Adjusted Life Years. Clinical Therapeutics 35, 364-370
    CrossRef

  45. 45

    Frederick J. Zimmerman. (2013) Habit, custom, and power: A multi-level theory of population health. Social Science & Medicine 80, 47-56
    CrossRef

  46. 46

    Salvador Chacón Moscoso, Susana Sanduvete Chaves, Mariona Portell Vidal, M. Teresa Anguera Argilaga. (2013) Reporting a program evaluation: Needs, program plan, intervention, and decisions. International Journal of Clinical and Health Psychology 13, 58-66
    CrossRef

  47. 47

    Dhruv S. Kazi, Daniel B. Mark. (2013) The Economics of Heart Failure. Heart Failure Clinics 9, 93-106
    CrossRef

  48. 48

    R.M. WOODWARD, J. MENZIN, P.J. NEUMANN. (2013) Quality-adjusted life years in cancer: pros, cons, and alternatives. European Journal of Cancer Care 22, 12-19
    CrossRef

  49. 49

    Ariel Beresniak, Brigitte Sabatier, Paul Achouh, Philippe Menasché, Jean-Noel Fabiani. (2013) Cost-Effectiveness of Mitral Valve Repair Versus Replacement by Biologic or Mechanical Prosthesis. The Annals of Thoracic Surgery 95, 98-104
    CrossRef

  50. 50

    Praveen Thokala, Alejandra Duenas. (2012) Multiple Criteria Decision Analysis for Health Technology Assessment. Value in Health 15, 1172-1181
    CrossRef

  51. 51

    Catherine de Blacam, Adeyiza O. Momoh, Salih Colakoglu, Sumner A. Slavin, Adam M. Tobias, Bernard T. Lee. (2012) Cost Analysis of Implant-Based Breast Reconstruction With Acellular Dermal Matrix. Annals of Plastic Surgery 69, 516-520
    CrossRef

  52. 52

    Mehmet U. S. Ayvaci, Oguzhan Alagoz, Elizabeth S. Burnside. (2012) The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions. Manufacturing & Service Operations Management 14, 600-617
    CrossRef

  53. 53

    José Antonio Sacristán, Tatiana Dilla, Fernando Antoñanzas. (2012) Priorización de intervenciones sanitarias en función de su efectividad: un paso intermedio en el camino hacia una medicina más eficiente. Medicina Clínica 139, 458-460
    CrossRef

  54. 54

    Bryan R Luce, Michael F Drummond, Robert W Dubois, Peter J Neumann, Bengt Jönsson, Uwe Siebert, J Sanford Schwartz. (2012) Principles for planning and conducting comparative effectiveness research. Journal of Comparative Effectiveness Research 1, 431-440
    CrossRef

  55. 55

    Vinay Dewan, Dennis Lambert, Joshua Edler, Steven Kymes, Rajendra S. Apte. (2012) Cost-Effectiveness Analysis of Ranibizumab Plus Prompt or Deferred Laser or Triamcinolone Plus Prompt Laser for Diabetic Macular Edema. Ophthalmology 119, 1679-1684
    CrossRef

  56. 56

    Alan B. Cohen. (2012) The Debate Over Health Care Rationing: Déjà Vu All Over Again?. Inquiry 49, 90-100
    CrossRef

  57. 57

    Diarmuid Coughlan, Kevin D. Frick. (2012) Economic Impact of Human Papillomavirus–Associated Head and Neck Cancers in the United States. Otolaryngologic Clinics of North America 45, 899-917
    CrossRef

  58. 58

    Daniel Mark. . Medical Economics in Interventional Cardiology. 2012:, 861-876.
    CrossRef

  59. 59

    Can Research Guide Us to Improved Care at Lower Costs?. 2011:, 131-146.
    CrossRef

  60. 60

    Aine Marie Kelly, Paul Cronin. (2011) Rationing and Health Care Reform: Not a Question of If, but When. Journal of the American College of Radiology 8, 830-837
    CrossRef

  61. 61

    G.Scott Gazelle, Larry Kessler, David W. Lee, Thomas McGinn, Joseph Menzin, Peter J. Neumann, Derek van Amerongen, Leigh Ann White. (2011) A Framework for Assessing the Value of Diagnostic Imaging in the Era of Comparative Effectiveness Research. Radiology 261, 692-698
    CrossRef

  62. 62

    Timothy W. Evans, Stefano Nava, Guillermo Vazquez Mata, Bertrand Guidet, Elisa Estenssoro, Robert Fowler, Leslie P. Scheunemann, Douglas White, Constantine A. Manthous. (2011) Critical Care Rationing. Chest 140, 1618-1624
    CrossRef

  63. 63

    Leslie P. Scheunemann, Douglas B. White. (2011) The Ethics and Reality of Rationing in Medicine. Chest 140, 1625-1632
    CrossRef

  64. 64

    Huseyin Naci, Rachael Fleurence. (2011) Using Indirect Evidence to Determine the Comparative Effectiveness of Prescription Drugs: Do Benefits Outweigh Risks?. Health Outcomes Research in Medicine 2, e241-e249
    CrossRef

  65. 65

    S. J. Goldie, N. Daniels. (2011) Model-Based Analyses to Compare Health and Economic Outcomes of Cancer Control: Inclusion of Disparities. JNCI Journal of the National Cancer Institute 103, 1373-1386
    CrossRef

  66. 66

    Alexander Iribarne, Rachel Easterwood, Mark J. Russo, Y. Claire Wang. (2011) Integrating Economic Evaluation Methods Into Clinical and Translational Science Award Consortium Comparative Effectiveness Educational Goals. Academic Medicine 86, 701-705
    CrossRef

  67. 67

    Costi Alifrangis, Jonathan Krell, Justin Stebbing. (2011) The pharmacoeconomics of spiralling cancer drug costs – Is there a viable solution?. European Journal of Cancer 47, 1285-1286
    CrossRef

  68. 68

    Robert G. Holloway, Steven P. Ringel. (2011) Getting to value in neurological care: A roadmap for academic neurology. Annals of Neurology 69, 909-918
    CrossRef

  69. 69

    Bengt Jönsson. (2011) Relative effectiveness and the European pharmaceutical market. The European Journal of Health Economics 12, 97-102
    CrossRef

  70. 70

    Carlo Lucioni. (2011) Valori di soglia: una scomoda necessità. PharmacoEconomics Italian Research Articles 13, 1-4
    CrossRef

  71. 71

    David B. Adams. (2011) Life, Liberty, and the Pursuit of Quality-adjusted Life-Years after Pancreatic Cancer Surgery. World Journal of Surgery 35, 473-474
    CrossRef

  72. 72

    Frank S. Rhame. (2011) When to Start Antiretroviral Therapy. Current Infectious Disease Reports 13, 60-67
    CrossRef

  73. 73

    Bertrand Guidet, Vicente González-Romá. (2011) Climate and cultural aspects in intensive care units. Critical Care 15, 312
    CrossRef

Metrics

Page Views

Page view data are collected daily and posted on the second day after collection. Page views include both html and pdf views of an article.
Geographical Distribution of Page Views

Media Coverage

A media monitoring service searches for every mention of NEJM or New England Journal of Medicine in news stories from around the world. Radio and television mentions are predominantly from the United States, but print and web media are tracked worldwide in multiple languages. Coverage may take up to a week to appear.

Source Information

    Source Information

      Social Media — Altmetric.com Data

      Comparisons to NEJM and other journal articles are to Altmetric.com data on all types of articles in all types of medical journals around the world.

      Comparisons

      Compared to Other
      NEJM Articles
      In the
      N/A
      Ranks
      N/A
      Compared to Articles in
      Other Medical Journals
      In the
      N/A
      Ranks
      N/A

      Recent Twitter Activity

      Tweets

      TWEETS

      Other Article Activity

      Emailed
      35