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New Clinical Insights into Chronic Obstructive Pulmonary Disease and Their Implications for Pharmacoeconomic Analyses

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  • Douglas Mapel
  • Melissa Roberts

Abstract

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death and disability worldwide, but before the development of several new pharmacological treatments little could be done for COPD patients. Recognition that these new treatments could significantly improve the prognosis for COPD patients has radically changed clinical management guidelines from a palliative philosophy to an aggressive approach intended to reduce chronic symptoms, improve quality of life and prolong survival. These new treatments have also sparked interest in COPD cost-effectiveness research. Most COPD cost-effectiveness studies have been based on clinical trial populations, limited to direct medical costs, and used standard analysis methods such as Markov modelling, and they have usually found that newer therapies have favourable cost effectiveness. However, new insights into the clinical progression of COPD bring into question some of the assumptions underlying older analyses. In this review, we examine clinical factors unique to COPD and recent changes in clinical perspectives that have important implications for pharmacoeconomic analyses. The main parameters explored include (i) the high indirect medical costs for COPD and their relevance in assessing the societal benefits of new therapy; (ii) the importance of acute deteriorations in COPD, known as exacerbations, and approaches to modelling the cost benefit of exacerbation reduction; (iii) quality/utility instruments for COPD; (iv) the prevalence of co-morbid conditions and confounding between COPD and co-morbid disease utilization; (v) the limitations of Markov modelling; and (vi) the problem of outliers. Copyright Springer International Publishing Switzerland 2012

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  • Douglas Mapel & Melissa Roberts, 2012. "New Clinical Insights into Chronic Obstructive Pulmonary Disease and Their Implications for Pharmacoeconomic Analyses," PharmacoEconomics, Springer, vol. 30(10), pages 869-885, October.
  • Handle: RePEc:spr:pharme:v:30:y:2012:i:10:p:869-885
    DOI: 10.2165/11633330-000000000-00000
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    References listed on IDEAS

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    1. Alan Brennan & Stephen E. Chick & Ruth Davies, 2006. "A taxonomy of model structures for economic evaluation of health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1295-1310, December.
    2. K Cooper & S C Brailsford & R Davies, 2007. "Choice of modelling technique for evaluating health care interventions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 168-176, February.
    3. Maureen Rutten-van Mölken & Jan Oostenbrink & Marc Miravitlles & Brigitta Monz, 2007. "Modelling the 5-year cost effectiveness of tiotropium, salmeterol and ipratropium for the treatment of chronic obstructive pulmonary disease in Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 8(2), pages 123-135, June.
    4. Eisner, M.D. & Yelin, E.H. & Trupin, L. & Blanc, P.D., 2002. "The influence of chronic respiratory conditions on health status and work disability," American Journal of Public Health, American Public Health Association, vol. 92(9), pages 1506-1513.
    5. Michael Spencer & Andrew Briggs & Ronald Grossman & Laureen Rance, 2005. "Development of an economic model to assess the cost effectiveness of treatment interventions for chronic obstructive pulmonary disease," PharmacoEconomics, Springer, vol. 23(6), pages 619-637, June.
    6. O. Zaniolo & S. Iannazzo & L. Pradelli & M. Miravitlles, 2012. "Pharmacoeconomic evaluation of tiotropium bromide in the long-term treatment of chronic obstructive pulmonary disease (COPD) in Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(1), pages 71-80, February.
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    1. Francesco Blasi & Giancarlo Cesana & Sara Conti & Virginio Chiodini & Stefano Aliberti & Carla Fornari & Lorenzo Giovanni Mantovani, 2014. "The Clinical and Economic Impact of Exacerbations of Chronic Obstructive Pulmonary Disease: A Cohort of Hospitalized Patients," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-8, June.

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