Literature DB >> 23104670

Quantifying short run cost-effectiveness during a gradual implementation process.

Gijs van de Wetering1, Willem H Woertman, Andre L Verbeek, Mireille J Broeders, Eddy M M Adang.   

Abstract

This paper examines the short run inefficiencies that arise during gradual implementation of a new cost-effective technology in healthcare. These inefficiencies arise when health gains associated with the new technology cannot be obtained immediately because the new technology does not yet supply all patients, and when there is overcapacity for the old technology in the short run because the supply of care is divided among two mutually exclusive technologies. Such efficiency losses are not taken into account in standard textbook cost-effectiveness analysis in which a steady state is presented where costs and effects are assumed to be unchanging over time. A model is constructed to quantify such short run inefficiencies as well as to inform the decision maker about the optimal implementation pattern for the new technology. The model operates by integrating the incremental net benefit equations for both the period of co-existence of mutually exclusive technologies and the period after complete substitution of the old technology. It takes into account the rate of implementation of the new technology, depreciation of capital of the old technology as well as the demand curves for both technologies. The model is applied to the real world case of converting from screen film to digital mammography in the Netherlands.

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Year:  2012        PMID: 23104670     DOI: 10.1007/s10198-012-0435-2

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  9 in total

1.  The length of time necessary to break even after converting to digital mammography.

Authors:  M D Hiatt; J J Carr; R L Manning
Journal:  J Telemed Telecare       Date:  2000       Impact factor: 6.184

2.  A methodology to evaluate differential costs of full field digital as compared to conventional screen film mammography in a clinical setting.

Authors:  S Ciatto; B Brancato; R Baglioni; M Turci
Journal:  Eur J Radiol       Date:  2005-09-23       Impact factor: 3.528

3.  Projecting long term medical spending growth.

Authors:  Christine Borger; Thomas F Rutherford; Gregory Y Won
Journal:  J Health Econ       Date:  2007-03-18       Impact factor: 3.883

4.  Economic evaluation of innovative technologies in health care should include a short-run perspective.

Authors:  Eddy M M Adang
Journal:  Eur J Health Econ       Date:  2008-01-10

5.  A model to correct for short-run inefficiencies in economic evaluations in healthcare.

Authors:  Gijs Van de Wetering; Willem H Woertman; Eddy M M Adang
Journal:  Health Econ       Date:  2011-02-14       Impact factor: 3.046

6.  The impact of digital mammography on screening a young cohort of women for breast cancer in an urban specialist breast unit.

Authors:  Nicholas M Perry; N Patani; S E Milner; K Pinker; K Mokbel; P C Allgood; S W Duffy
Journal:  Eur Radiol       Date:  2010-10-01       Impact factor: 5.315

Review 7.  Screening for breast cancer.

Authors:  Joann G Elmore; Katrina Armstrong; Constance D Lehman; Suzanne W Fletcher
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

8.  Consequences of digital mammography in population-based breast cancer screening: initial changes and long-term impact on referral rates.

Authors:  Adriana M J Bluekens; Nico Karssemeijer; David Beijerinck; Jan J M Deurenberg; Ruben E van Engen; Mireille J M Broeders; Gerard J den Heeten
Journal:  Eur Radiol       Date:  2010-04-21       Impact factor: 5.315

9.  Time to incorporate time in cost-effectiveness analysis.

Authors:  Gijs van de Wetering; Willem H Woertman; Eddy M Adang
Journal:  Eur J Health Econ       Date:  2012-06
  9 in total
  5 in total

1.  Accounting for Capacity Constraints in Economic Evaluations of Precision Medicine: A Systematic Review.

Authors:  Stuart J Wright; William G Newman; Katherine Payne
Journal:  Pharmacoeconomics       Date:  2019-08       Impact factor: 4.981

2.  Developing a dynamic simulation model to support the nationwide implementation of whole genome sequencing in lung cancer.

Authors:  Michiel van de Ven; Maarten IJzerman; Valesca Retèl; Wim van Harten; Hendrik Koffijberg
Journal:  BMC Med Res Methodol       Date:  2022-03-27       Impact factor: 4.615

3.  Quantifying the Impact of Capacity Constraints in Economic Evaluations: An Application in Precision Medicine.

Authors:  Stuart J Wright; William G Newman; Katherine Payne
Journal:  Med Decis Making       Date:  2021-10-25       Impact factor: 2.583

4.  Budget impact analysis of switching to digital mammography in a population-based breast cancer screening program: a discrete event simulation model.

Authors:  Mercè Comas; Arantzazu Arrospide; Javier Mar; Maria Sala; Ester Vilaprinyó; Cristina Hernández; Francesc Cots; Juan Martínez; Xavier Castells
Journal:  PLoS One       Date:  2014-05-15       Impact factor: 3.240

5.  Implementing Interventions with Varying Marginal Cost-Effectiveness: An Application in Precision Medicine.

Authors:  Stuart J Wright; Mike Paulden; Katherine Payne
Journal:  Med Decis Making       Date:  2020-10       Impact factor: 2.583

  5 in total

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