Skip to main content

Estimating the Diagnosed, Treated, and Eligible Population

  • Chapter
  • First Online:
  • 974 Accesses

Abstract

One of the most important activities for completing a budget-impact analysis is understanding the population dynamics in order to estimate the size of the population eligible for the new drug. Determining those who are eligible for the new drug in the jurisdiction(s) of interest is a key determinant of the changes in costs and outcomes that may occur from the budget holder’s perspective. The credibility of the analysis will depend on the model correctly identifying those eligible for the new drug based on the treatment pathway in each jurisdiction. In this chapter, we present methods for estimating the size of the eligible incident and prevalent populations, including changes in the size and condition severity mix of these populations over the analysis time horizon. Issues around patient subgroups and catch-up are also presented.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    In this chapter, we make the simplifying assumption that the budget-impact analysis is based on the introduction of a new drug to the current mix of drugs for treatment of a condition. Changes in our recommended approaches to estimate the budget impacts of other types of health-care interventions (i.e., vaccines, diagnostics, surgery, and devices) are discussed in Chap. 13.

References

  • Buist AS, Vollmer WM, McBurnie MA. Worldwide burden of COPD in high- and low-income countries. Part I. The Burden of Obstructive Lung Disease (BOLD) initiative. Int J Tuberc Lung Dis. 2008;12(7):703–8.

    CAS  PubMed  Google Scholar 

  • Carlton BG, Lucas DO, Ellis EF, Conboy-Ellis K, Shoheiber O, Stempel DA. The status of asthma control and asthma prescribing practices in the United States: results of a large prospective asthma control survey of primary care practices. J Asthma. 2005;42(7):529–35.

    Article  PubMed  Google Scholar 

  • Carter M, Moser K, Kelly S. Office of National Statistics. Health of older people: disease prevalence, prescription and referral rates, England and Wales 1996. Health Stat Q. 1999;4:9–15.

    Google Scholar 

  • Centers for Disease Control and Prevention (CDC). Hepatitis C FAQs for health professionals. 2016. http://www.cdc.gov/hepatitis/hcv/hcvfaq.htm. Accessed 28 Jul 2016.

  • Crighton EJ, Ragetlie R, Luo J, To T, Gershon A. A spatial analysis of COPD prevalence, incidence, mortality and health service use in Ontario. Health Rep. 2015;26(3):10–8.

    PubMed  Google Scholar 

  • Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, et al. American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics–2014 update: a report from the American Heart Association. Circulation. 2014;129(3):e28–e292. doi:10.1161/01.cir.0000441139.02102.80.

    Article  PubMed  Google Scholar 

  • Hurst JR, Vestbo J, Anzueto A, Locantore N, Müllerova H, Tal-Singer R, et al. Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) Investigators. Susceptibility to exacerbation in chronic obstructive pulmonary disease. N Engl J Med. 2010;363(12):1128–38. doi:10.1056/NEJMoa0909883.

    Article  CAS  PubMed  Google Scholar 

  • Lee TA, Chang CL, Stephenson JJ, Sajjan SG, Maiese EM, Everett S, et al. Impact of asthma controller medications on medical and economic resource utilization in adult asthma patients. Curr Med Res Opin. 2010;26(12):2851–60. doi:10.1185/03007995.2010.531255.

    Article  PubMed  Google Scholar 

  • Maggioni AP, Anand I, Gottleib SO, Latini R, Tognoni G, Cohn JN. Val_HeFT Investigators (Valsartan Heart Failure Trial). Effects of valsartan on morbidity and mortality in patients with heart failure not receiving angiotensin-converting enzyme inhibitors. J Am Coll Cardiol. 2002;40(8):1414–21.

    Article  CAS  PubMed  Google Scholar 

  • Moorman JE, Akinbami LJ, Bailey CM, Zahran HS, King ME, Johnson CA, et al. National surveillance of asthma: United States, 2001-2010. Vital Health Stat. 2012;3(35):1–58.

    Google Scholar 

  • Mouridsen H, Gershanovich M, Sun Y, Pérez-Carrión R, Boni C, Monnier A, et al. Superior efficacy of letrozole versus tamoxifen as first-line therapy for postmenopausal women with advanced breast cancer: results of a phase III study of the International Letrozole Breast Cancer Group. J Clin Oncol. 2001;19(10):2596–606.

    Article  CAS  PubMed  Google Scholar 

  • Pugliatti M, Rosati G, Carton H, Riise T, Drulovic J, Vécsei L, et al. The epidemiology of multiple sclerosis in Europe. Eur J Neurol. 2006;13(7):700–22.

    Article  CAS  PubMed  Google Scholar 

  • US Census Bureau, Population Division. Annual estimates of the resident population by single year of age and sex for the United States, states, and Puerto Rico Commonwealth: April 1, 2010 to July 1, 2012. 2013. http://factfinder2.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk. Accessed 30 Oct 2013.

  • US Census Bureau. US and world population clock. 2014. http://www.census.gov/popclock/. Accessed 28 Jul 2016.

  • World Health Organization. Global incidence and prevalence of selected curable sexually transmitted infections – 2008. 2012. http://apps.who.int/iris/bitstream/10665/75181/1/9789241503839_eng.pdf?ua=1. Accessed 15 Sep 2015.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stephanie Earnshaw .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Earnshaw, S., Mauskopf, J. (2017). Estimating the Diagnosed, Treated, and Eligible Population. In: Budget-Impact Analysis of Health Care Interventions. Adis, Cham. https://doi.org/10.1007/978-3-319-50482-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-50482-7_3

  • Published:

  • Publisher Name: Adis, Cham

  • Print ISBN: 978-3-319-50480-3

  • Online ISBN: 978-3-319-50482-7

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics