IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v87y2008i3p389-400.html

Comparing methods for full versus single technology appraisal: A case study of docetaxel and paclitaxel for early breast cancer

Author

Listed:
  • Kaltenthaler, Eva
  • Tappenden, Paul
  • Booth, Andrew
  • Akehurst, Ron

Abstract

Objective The aim of this study is to compare and contrast the reports of the rapid National Institute for Health and Clinical Excellence (NICE) single technology (STA) process with the full Health Technology Assessment Report (TAR) for the same technologies (docetaxel and paclitaxel for the adjuvant treatment of early breast cancer).Methods Documentary analysis was used to compare three reports. A data extraction form was developed to record information on the decision problem addressed in each report, literature searching methods, the clinical effectiveness review, cost-effectiveness analysis, conclusions and issues of concern.Results The decision problems and search strategies for the STAs differed from those reported in the TAR. Not all trials of clinical effectiveness included in the TAR were reported by manufacturers. The methods and assumptions used to assess the cost-effectiveness of the technologies were generally similar between reports, although only one common health economic comparison was presented across the three reports. The TAR supports the STA results for docetaxel but suggested that the manufacturer's cost-effectiveness estimates for paclitaxel were highly optimistic.Conclusions Although the STA process provides the opportunity for rapid appraisal of new technologies, there remains uncertainty concerning the extent to which STAs adequately address the specific decision problem under consideration.

Suggested Citation

  • Kaltenthaler, Eva & Tappenden, Paul & Booth, Andrew & Akehurst, Ron, 2008. "Comparing methods for full versus single technology appraisal: A case study of docetaxel and paclitaxel for early breast cancer," Health Policy, Elsevier, vol. 87(3), pages 389-400, September.
    • Handle: RePEc:eee:hepoli:v:87:y:2008:i:3:p:389-400
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168-8510(08)00042-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. McMahon, Meghan & Morgan, Steve & Mitton, Craig, 2006. "The Common Drug Review: A NICE start for Canada?," Health Policy, Elsevier, vol. 77(3), pages 339-351, August.
    2. Frank A. Sonnenberg & J. Robert Beck, 1993. "Markov Models in Medical Decision Making," Medical Decision Making, , vol. 13(4), pages 322-338, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kasper M. Johannesen & Karl Claxton & Mark J. Sculpher & Allan J. Wailoo, 2018. "How to design the cost‐effectiveness appraisal process of new healthcare technologies to maximise population health: A conceptual framework," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 41-54, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Turgay Ayer & Oguzhan Alagoz & Natasha K. Stout, 2012. "OR Forum---A POMDP Approach to Personalize Mammography Screening Decisions," Operations Research, INFORMS, vol. 60(5), pages 1019-1034, October.
    2. K. Cooper & S. Brailsford & R. Davies & J. Raftery, 2006. "A review of health care models for coronary heart disease interventions," Health Care Management Science, Springer, vol. 9(4), pages 311-324, November.
    3. Bärnighausen, Till & Bloom, David E., 2009. ""Conditional scholarships" for HIV/AIDS health workers: Educating and retaining the workforce to provide antiretroviral treatment in sub-Saharan Africa," Social Science & Medicine, Elsevier, vol. 68(3), pages 544-551, February.
    4. Heß, Michael (Ed.) & Schlieter, Hannes (Ed.), 2014. "Modellierung im Gesundheitswesen: Tagungsband des Workshops im Rahmen der Modellierung 2014," ICB Research Reports 57, University Duisburg-Essen, Institute for Computer Science and Business Information Systems (ICB).
    5. Zixian, Liu & Xin, Ni & Yiliu, Liu & Qinglu, Song & Yukun, Wang, 2011. "Gastric esophageal surgery risk analysis with a fault tree and Markov integrated model," Reliability Engineering and System Safety, Elsevier, vol. 96(12), pages 1591-1600.
    6. Rowan Iskandar, 2018. "A theoretical foundation for state-transition cohort models in health decision analysis," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-11, December.
    7. Michael Frank Mørup & Steven M Kymes & Daniel Oudin Åström, 2020. "A modelling approach to estimate the prevalence of treatment-resistant schizophrenia in the United States," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-10, June.
    8. Pedram Sendi & Huldrych F Günthard & Mathew Simcock & Bruno Ledergerber & Jörg Schüpbach & Manuel Battegay & for the Swiss HIV Cohort Study, 2007. "Cost-Effectiveness of Genotypic Antiretroviral Resistance Testing in HIV-Infected Patients with Treatment Failure," PLOS ONE, Public Library of Science, vol. 2(1), pages 1-8, January.
    9. Franck Maunoury & Christian Farinetto & Stéphane Ruckly & Jeremy Guenezan & Jean-Christophe Lucet & Alain Lepape & Julien Pascal & Bertrand Souweine & Olivier Mimoz & Jean-François Timsit, 2018. "Cost-effectiveness analysis of chlorhexidine-alcohol versus povidone iodine-alcohol solution in the prevention of intravascular-catheter-related bloodstream infections in France," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-16, May.
    10. Emma McManus, 2024. "Evaluating the Long-Term Cost-Effectiveness of the English NHS Diabetes Prevention Programme using a Markov Model," PharmacoEconomics - Open, Springer, vol. 8(4), pages 569-583, July.
    11. Gallego, Gisselle & Casey, Robert & Norman, Richard & Goodall, Stephen, 2011. "Introduction and uptake of new medical technologies in the Australian health care system: A qualitative study," Health Policy, Elsevier, vol. 102(2), pages 152-158.
    12. Manouchehr Tavakoli & Neil Pumford & Mark Woodward & Alex Doney & John Chalmers & Stephen MacMahon & Ronald MacWalter, 2009. "An economic evaluation of a perindopril-based blood pressure lowering regimen for patients who have suffered a cerebrovascular event," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 10(1), pages 111-119, February.
    13. Steven M. Shechter & Matthew D. Bailey & Andrew J. Schaefer & Mark S. Roberts, 2008. "The Optimal Time to Initiate HIV Therapy Under Ordered Health States," Operations Research, INFORMS, vol. 56(1), pages 20-33, February.
    14. Malek B Hannouf & Chander Sehgal & Jeffrey Q Cao & Joseph D Mocanu & Eric Winquist & Gregory S Zaric, 2012. "Cost-Effectiveness of Adding Cetuximab to Platinum-Based Chemotherapy for First-Line Treatment of Recurrent or Metastatic Head and Neck Cancer," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
    15. Julio Emilio Marco-Franco & Pedro Pita-Barros & Silvia González-de-Julián & Iryna Sabat & David Vivas-Consuelo, 2021. "Simplified Mathematical Modelling of Uncertainty: Cost-Effectiveness of COVID-19 Vaccines in Spain," Mathematics, MDPI, vol. 9(5), pages 1-15, March.
    16. Aslam Anis & Huiying Sun & Sonia Singh & John Woolcott & Bohdan Nosyk & Marc Brisson, 2006. "A Cost-Utility Analysis of Losartan versus Atenolol in the Treatment of Hypertension with Left Ventricular Hypertrophy," PharmacoEconomics, Springer, vol. 24(4), pages 387-400, April.
    17. Mattias Ekman & Peter Lindgren & Carolin Miltenburger & Genevieve Meier & Julie Locklear & Mary Chatterton, 2012. "Cost Effectiveness of Quetiapine in Patients with Acute Bipolar Depression and in Maintenance Treatment after an Acute Depressive Episode," PharmacoEconomics, Springer, vol. 30(6), pages 513-530, June.
    18. Teresa Cardoso & Mónica Oliveira & Ana Barbosa-Póvoa & Stefan Nickel, 2012. "Modeling the demand for long-term care services under uncertain information," Health Care Management Science, Springer, vol. 15(4), pages 385-412, December.
    19. Tran T. Doan & David W. Hutton & Davene R. Wright & Lisa A. Prosser, 2024. "Estimating Transition Probabilities for Modeling Major Depression in Adolescents by Sex and Race or Ethnicity Combinations in the USA," Applied Health Economics and Health Policy, Springer, vol. 22(3), pages 375-390, May.
    20. Braden Manns & David Meltzer & Ken Taub & Cam Donaldson, 2003. "Illustrating the impact of including future costs in economic evaluations: an application to end‐stage renal disease care," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 949-958, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:hepoli:v:87:y:2008:i:3:p:389-400. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.