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Cost Effectiveness of Treatment of Parkinson’s Disease with Entacapone in the United States

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Abstract

Objective: To determine the cost effectiveness of adjunctive therapy with entacapone versus standard treatment (levodopa) without entacapone for patients in the US with Parkinson’s disease (PD)who experience ‘off-time’ (re-emergence of the symptoms of PD) while receiving levodopa.

Study Design: A Markov model was used to estimate 5-year costs and effectiveness of standard treatment with and without entacapone.

Methods: Probabilities, unit costs, resource utilisation data and utilities were obtained from published literature, clinical trial reports, a national database, and clinical experts. PD disability was measured using the daily proportion of off-time and Hoehn and Yahr scale scores. The analysis measured costs from a societal and third-party payer perspective, and effectiveness as gains in quality-adjusted life-years (QALYs) and years without progression to >25% off-time.

Results: From a societal perspective, entacapone therapy resulted in an incremental cost of $US9327 per QALY gained compared with standard treatment. Treatment with entacapone also provided an additional 7.6 months with ≤25% off-time/day compared with standard treatment. Sensitivity analyses indicated that the model is sensitive to changes in rates of improvement/deterioration of off-time, and to the number of doses per day of levodopa with adjunctive entacapone.

Conclusions: The addition of entacapone to standard treatment for patients receiving levodopa who experience off-time provides additional QALYs and gain in time with minimal fluctuations. Results of this modelling exercise suggest that therapy with entacapone may be cost effective when compared with standard treatment for PD.

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Notes

  1. The ‘pull test’ is a standard component of assessment of postural stability in Parkinson’s disease. It evaluates the response to sudden, strong posterior displacement produced by pulling on the shoulders while the patient is erect with eyes open and feet slightly apart. The patient is prepared.

References

  1. Koller WC. Classification of parkinsonism. In: Koller WC, editor. Handbook of Parkinson’s disease. New York (NY): Marcel Dekker, Inc., 1987: 51–80

    Google Scholar 

  2. de Pedro-Cuesta J, Stawiarz L. Parkinson’s disease incidence: magnitude, comparability, time trends. Acta Neurol Scand 1991; 84: 382–8

    Article  PubMed  Google Scholar 

  3. Tanner CM. Epidemiology of Parkinson’s disease. Neurol Clin 1992; 10: 317–29

    PubMed  CAS  Google Scholar 

  4. Oertel WH, Quinn NP. Parkinsonism. In: Brandt T, Caplan LR, Dichgans J, et al., editors. Neurologic disorders: course and treatment. San Diego (CA): Academic Press, 1996: 715–72

    Google Scholar 

  5. Rajput AH, Offord KP, Beard CM, et al. A case-control study of smoking habits, dementia, and other illnesses in idiopathic Parkinson’s disease. Neurology 1987; 37: 226–32

    Article  PubMed  CAS  Google Scholar 

  6. Parkinson Study Group. Mortality in DATATOP: a multicenter trial in early Parkinson’s disease. Ann Neurol 1998; 43: 318–25

    Article  Google Scholar 

  7. Yahr MD. Evaluation of long-term therapy in Parkinson’s disease: mortality and therapeutic efficacy. In: Birkmayer W, Hornykiewicz O, editors. Advances in parkinsonism. Basel: Editiones Roche, 1976: 435–43

    Google Scholar 

  8. Hoehn MM. Parkinsonism treated with levodopa: progression and mortality. J Neural Transm 1993; Suppl. 19: 253–64

    Google Scholar 

  9. Uitti RJ, Ahlskog JE, Maraganore DM, et al. Levodopa therapy and survival in idiopathic Parkinson’s disease: Olmstead County project. Neurology 1993; 43: 1918–26

    Article  PubMed  CAS  Google Scholar 

  10. Bonnet AM, Marconi R, Vidailhe M, et al. Levodopa versus bromocriptine-induced dyskinesia in Parkinson’s disease. New Trends Clin Neuropharmacol 1992; 6: 1–4

    Google Scholar 

  11. Marconi R, Lefebvre-Caparros D, Bonnet A, et al. Levodopa induced dyskinesias in Parkinson’s disease. Phenomenology and pathophysiology. Mov Disord 1994; 1: 2–12

    Article  Google Scholar 

  12. Scheife RT, Schumock GT, Burstein A, et al. Impact of Parkinson’s disease and its pharmacologic treatment on quality of life and economic outcomes. Am J Health Syst Pharm 2000; 57: 953–61

    PubMed  CAS  Google Scholar 

  13. Dodel RC, Singer M, Kohne-Volland R, et al. The economic impact of Parkinson’s disease: an estimation based on a 3-month prospective analysis. Pharmacoeconomics 1998; 14: 299–312

    Article  PubMed  CAS  Google Scholar 

  14. Baas H, Beiske AG, Ghika J, et al. Catechol-O-methyltransferase inhibition with tolcapone reduces the “wearing off” phenomenon and levodopa requirements in fluctuating parkinsonian patients. J Neurol Neurosurg Psychiatry 1997; 63: 421–8

    Article  PubMed  CAS  Google Scholar 

  15. Rinne UK. Problems associated with long-term levodopa treatment of Parkinson’s disease. Acta Neurol Scand 1983; 95: 19–26

    Article  CAS  Google Scholar 

  16. Djaldetti R, Melamed E. Management of response fluctuations: practical guidelines. Neurology 1998; 51 Suppl. 2: S36-40

    Article  PubMed  CAS  Google Scholar 

  17. Chrischilles EA, Rubenstein LM, Voelker MD, et al. The health burdens of Parkinson’s disease. Mov Disord 1998; 13: 406–13

    Article  PubMed  CAS  Google Scholar 

  18. Clarke CE, Zobkiw RM, Gullaksen E. Quality of life and care in Parkinson’s disease. Br J Clin Pract 1995; 49: 288–93

    PubMed  CAS  Google Scholar 

  19. Montgomery EB, Lieberman A, Singh G, et al. Patient education and health promotion can be effective in Parkinson’s disease: a randomized controlled trial. Am J Med 1994; 97: 429–35

    Article  PubMed  Google Scholar 

  20. Mercer BS. A randomized study of the efficacy of the PROPATH program for patients with Parkinson disease. Arch Neurol 1996; 53: 881–4

    Article  PubMed  CAS  Google Scholar 

  21. Whetten-Goldstein K, Sloan F, Kulas E, et al. The burden of Parkinson’s disease on society, family, and the individual. J Am Geriatr Soc 1997; 45: 844–9

    PubMed  CAS  Google Scholar 

  22. Dodel RC, Pepperl S, Köhne-Volland R, et al. Medizinische ökonomie: kosten der medikamentösen behandlung neurologischer erkrankungen: morbus parkinson, dystonie, epilepsie. Med Klin 1996; 91: 483–5

    Google Scholar 

  23. Dodel RC, Eggert KM, Singer MS, et al. Costs of drug treatment in Parkinson’s disease. Mov Disord 1998; 13: 249–54

    Article  PubMed  CAS  Google Scholar 

  24. Rubenstein LM, Chrischilles EA, Voelker MD. The impact of Parkinson’s disease on health status, health expenditures, and productivity. Estimates from the National Medical Expenditure survey. Pharmacoeconomics 1997; 12: 486–98

    Article  PubMed  CAS  Google Scholar 

  25. Le Pen C, Wait S, Moutard-Martin F, et al. Cost of illness and disease severity in a cohort of French patients with Parkinson’s disease. Pharmacoeconomics 1999; 16: 59–69

    Article  Google Scholar 

  26. Hempel AG, Wagner ML, Maaty MA, et al. Pharmacoeconomic analysis of using Sinemet CR over standard Sinemet in parkinsonian patients with motor fluctuations. Ann Pharmacother 1998; 32: 878–83

    Article  PubMed  CAS  Google Scholar 

  27. Hoerger TJ, Bala MV, Rowland C, et al. Cost-effectiveness of pramipexole in Parkinson’s disease in the US. Pharmacoeconomics 1998; 14: 541–57

    Article  PubMed  CAS  Google Scholar 

  28. Parkinson Study Group. Entacapone improves motor fluctuations in levodopa-treated Parkinson’s disease patients. Ann Neurol 1997; 42: 747–55

    Article  Google Scholar 

  29. Rinne UK, Larsen JP, Siden A, et al. Entacapone enhances the response to levodopa in parkinsonian patients with motor fluctuations. Neurology 1998; 51: 1309–14

    Article  PubMed  CAS  Google Scholar 

  30. PhRMA Task Force on the Economic Evaluation of Pharmaceuticals. Methodological and Conduct Principles for Pharmacoeconomic Research. Washington (DC): Pharmaceutical Research and Manufacturers of America, 1995

    Google Scholar 

  31. Gold MR, Siegel JE, Russell LB, et al., editors. Cost-effectiveness in health and medicine. New York (NY): Oxford University Press, 1996

    Google Scholar 

  32. Hoehn MM, Yahr MD. Parkinsonism: onset, progression, and mortality. Neurology 1967; 17: 427–42

    Article  PubMed  CAS  Google Scholar 

  33. Decision analysis by Tree Age (DATA) Software, Version 3.14 for Windows [computer program]. Williamstown (MA): TreeAge Software, Inc., 1996

  34. Beck JR, Pauker SG. The Markov process in medical diagnosis. Med Decis Making 1983; 3: 419–58

    Article  PubMed  CAS  Google Scholar 

  35. Barr JT, Schumacher GE. Using decision analysis to conduct pharmacoeconomic studies. In: Spilker B, editor. Quality of life and pharmacoeconomics in clinical trials. Philadelphia (PA): Lippincott-Raven; 1996: 1197–214

    Google Scholar 

  36. Sonnenberg FA, Beck JR. Markov models in medical decision making: a practical guide. Med Decis Making 1993; 13: 322–38

    Article  PubMed  CAS  Google Scholar 

  37. Palmer CS, Schmier J, Snyder E, et al. Patient preferences and utilities for “off-time” outcomes in the treatment of Parkinson’s disease. Qual Life Res 2000; 9 (7): 819–27

    Article  PubMed  CAS  Google Scholar 

  38. Schlenker RE, Kramer AM, Hrincevich CA, et al. Rehabilitation costs: implications for prospective payment. Health Serv Res 1997; 32: 651–68

    PubMed  CAS  Google Scholar 

  39. Health Care Consultants of America. 1999 physicians fee and coding guide. Augusta (GA): HealthCare Consultants of America, 1999

    Google Scholar 

  40. National Association of Psychiatric Health Systems. Trends in psychiatric health systems. 1995 annual survey: final report. Washington (DC): National Association of Psychiatric Health Systems, 1995: 13

    Google Scholar 

  41. MEDTAP database of international unit costs. Berthesda (MD): Medtap International, 2001

  42. Medical Economics Company. 1999 red book. Montvale (NJ): Medical Economics Company, 1999

    Google Scholar 

  43. Luce BR, Manning WG, Siegel JE, et al. Estimating costs in cost-effectiveness analysis. In: Gold MR, Siegel JE, Russell LB, et al., editors. Cost-effectiveness in health and medicine. New York (NY): Oxford University Press, 1996: 202–3

    Google Scholar 

  44. Beck JR, Pauker SG, Gottlieb JE, et al. A convenient approximation of life expectancy (the “DEALE”). II. Use in medical decision-making. Am J Med 1982; 73: 889–97

    Article  PubMed  CAS  Google Scholar 

  45. Laupacis A, Feeny D, Detsky AS, et al. How attractive does a new technology have to be to warrant adoption and utilization?. Tentative guidelines for using clinical and economic evaluations. CMAJ 1992; 146: 473–81

    PubMed  CAS  Google Scholar 

  46. Nuijten MJC. The selection of data sources for use in modelling studies. Pharmacoeconomics 1998; 13 (3): 305–16

    Article  PubMed  CAS  Google Scholar 

  47. Nuijten MJC. Bridging decision analytic modelling with a cross-sectional approach. PharmacoEconomics 2000 Mar; 17 (3): 227–36

    Google Scholar 

  48. Olanow CW, Shapira AHV, Rascol O. Continuous dopamine stimulation in early Parkinson’s disease. Trends Neurosci 2000; 23: S117–26

    Article  PubMed  CAS  Google Scholar 

  49. Kieburtz K, Hubble J. Benefits of COMT inhibitors in levodopa-treated parkinsonian patients: results of clinical trials. Neurology 2000; 55 (11 Suppl. 4): S42–5

    PubMed  CAS  Google Scholar 

  50. Hatziandreu EJ, Brown RE, Revicki DA, et al. Cost utility of maintenance treatment of recurrent depression with sertraline versus episodic treatment with dothiepin. Pharmacoeconomics 1994; 5 (3): 249–68

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

This study was funded by Novartis Pharmaceuticals Corporation but was executed by MEDTAP, an independent reseach organisation. There was no conflict of interest for the authors.

We are grateful to Ariel Gordin, MD, PhD, Kari Reinikainen, MD, PhD, Mika Leinonen MSc, and Eeva Taimela, MD, PhD of Orion Pharma for providing clinical trial data and collaboration to MEDTAP. Additionally, we would like to thank the following individuals for their contribution to this study as members of the clinical panel: Jean Hubble, MD, Ohio State University Parkinson’s Disease Center of Excellence, Columbus, Ohio; Kapil Sethi, MD, Department of Neurology of the Medical College of Georgia, Augusta, Georgia; Kelly Lyons, PhD, Department of Neurology, University of Kansas Medical Center, Kansas City, Kansas; Ruth Hagenstuen, RN, MA, Struthers Parkinson Center, Minneapolis, Minnesota; and Jonie Whitehouse, RN, BSN, Wisconsin Institute for Neurologic and Sleep Disorders, Milwaukee, Wisconsin. We are also grateful to the Parkinson Study Group (PSG) who participated in the study and to Melissa Kuehn and Barbara Godlew for their work in preparing the manuscript.

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Correspondence to Mark J.C. Nuijten.

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Palmer, C.S., Nuijten, M.J., Schmier, J.K. et al. Cost Effectiveness of Treatment of Parkinson’s Disease with Entacapone in the United States. Pharmacoeconomics 20, 617–628 (2002). https://doi.org/10.2165/00019053-200220090-00005

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