IDEAS home Printed from https://ideas.repec.org/a/spr/aphecp/v15y2017i3d10.1007_s40258-017-0312-3.html
   My bibliography  Save this article

Cost-Effectiveness Models in Breast Cancer Screening in the General Population: A Systematic Review

Author

Listed:
  • Irmgard C. Schiller-Frühwirth

    (Main Association of Austrian Social Security Institutions
    University for Health Sciences, Medical Informatics and Technology)

  • Beate Jahn

    (University for Health Sciences, Medical Informatics and Technology
    ONCOTYROL-Center for Personalized Cancer Medicine)

  • Marjan Arvandi

    (University for Health Sciences, Medical Informatics and Technology)

  • Uwe Siebert

    (University for Health Sciences, Medical Informatics and Technology
    ONCOTYROL-Center for Personalized Cancer Medicine
    Massachusetts General Hospital, Harvard Medical School
    Harvard T.H. Chan School of Public Health)

Abstract

Background Many Western countries have long-established population-based mammography screening programs. Prior to implementing these programs, decision-analytic modeling was widely used to inform decisions. Objective The aim of this study was to perform a systematic review of cost-effectiveness models in breast cancer screening in the general population to analyze their structural and methodological approaches. Methods A systematic literature search for health economic models was performed in the electronic databases MEDLINE (Ovid), EMBASE, CRD Databases, Cochrane Library, and EconLit in August 2011 with updates in June 2013, April 2015, and November 2016. To assess studies systematically, a standardized form was applied to extract relevant information that was then summarized in evidence tables. Results Thirty-five studies were included; 27 state-transition models were analyzed using cohort (n = 12) and individual-level simulation (n = 15). Twenty-one studies modeled the natural history of breast cancer and predicted mortality as a function of the early detection modality. The models employed different assumptions regarding ductal carcinoma in situ. Thirteen studies performed cost-utility analyses with different sources for utility values, but assumptions were often made about utility weights. Twenty-two models did not report any validation. Conclusion State-transition modeling was the most frequently applied analytic approach. Different methods in modeling the progression of ductal carcinoma in situ to invasive cancer were identified because there is currently no agreement on the biological behavior of noninvasive breast cancer. Main weaknesses were the lack of precise utility estimates and insufficient reporting of validation. Sensitivity analyses of assumptions regarding ductal carcinoma in situ and in particular adequate validation are critical to minimize the risk of biased model outcomes.

Suggested Citation

  • Irmgard C. Schiller-Frühwirth & Beate Jahn & Marjan Arvandi & Uwe Siebert, 2017. "Cost-Effectiveness Models in Breast Cancer Screening in the General Population: A Systematic Review," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 333-351, June.
    • Handle: RePEc:spr:aphecp:v:15:y:2017:i:3:d:10.1007_s40258-017-0312-3
    DOI: 10.1007/s40258-017-0312-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40258-017-0312-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40258-017-0312-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Szeto, Kam Leong & Devlin, Nancy J., 1996. "The cost-effectiveness of mammography screening: evidence from a microsimulation model for New Zealand," Health Policy, Elsevier, vol. 38(2), pages 101-115, November.
    2. Williams, Iestyn & Bryan, Stirling, 2007. "Understanding the limited impact of economic evaluation in health care resource allocation: A conceptual framework," Health Policy, Elsevier, vol. 80(1), pages 135-143, January.
    3. Thomas A. Trikalinos & Uwe Siebert & Joseph Lau, 2009. "Decision-Analytic Modeling to Evaluate Benefits and Harms of Medical Tests: Uses and Limitations," Medical Decision Making, , vol. 29(5), pages 22-29, September.
    4. Hall, Jane & Gerard, Karen & Salkeld, Glenn & Richardson, Jeff, 1992. "A cost utility analysis of mammography screening in Australia," Social Science & Medicine, Elsevier, vol. 34(9), pages 993-1004, May.
    5. Paul Kind & Geoffrey Hardman & Susan Macran, 1999. "UK population norms for EQ-5D," Working Papers 172chedp, Centre for Health Economics, University of York.
    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. Bromley, Hannah L. & Petrie, Dennis & Mann, G.Bruce & Nickson, Carolyn & Rea, Daniel & Roberts, Tracy E., 2019. "Valuing the health states associated with breast cancer screening programmes: A systematic review of economic measures," Social Science & Medicine, Elsevier, vol. 228(C), pages 142-154.
    2. Isaac Corro Ramos & Martine Hoogendoorn & Maureen P. M. H. Rutten-van Mölken, 2020. "How to Address Uncertainty in Health Economic Discrete-Event Simulation Models: An Illustration for Chronic Obstructive Pulmonary Disease," Medical Decision Making, , vol. 40(5), pages 619-632, July.
    3. Lin Li & J L (Hans) Severens & Olena Mandrik, 2019. "Disutility associated with cancer screening programs: A systematic review," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-17, July.
    4. Michael J. Zoratti & A. Simon Pickard & Peep F. M. Stalmeier & Daniel Ollendorf & Andrew Lloyd & Kelvin K W Chan & Don Husereau & John E. Brazier & Murray Krahn & Mitchell Levine & Lehana Thabane & Fe, 2021. "Evaluating the conduct and application of health utility studies: a review of critical appraisal tools and reporting checklists," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 723-733, July.
    5. Nikolai Mühlberger & Gaby Sroczynski & Artemisa Gogollari & Beate Jahn & Nora Pashayan & Ewout Steyerberg & Martin Widschwendter & Uwe Siebert, 2021. "Cost effectiveness of breast cancer screening and prevention: a systematic review with a focus on risk-adapted strategies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1311-1344, November.

    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. Bech, Mickael & Gyrd-Hansen, Dorte, 2000. "Cost implications of routine mammography screening of women 50-69 years in the County of Funen, Denmark," Health Policy, Elsevier, vol. 54(2), pages 125-141, November.
    2. Bromley, Hannah L. & Petrie, Dennis & Mann, G.Bruce & Nickson, Carolyn & Rea, Daniel & Roberts, Tracy E., 2019. "Valuing the health states associated with breast cancer screening programmes: A systematic review of economic measures," Social Science & Medicine, Elsevier, vol. 228(C), pages 142-154.
    3. Bishal Mohindru & David Turner & Tracey Sach & Diana Bilton & Siobhan Carr & Olga Archangelidi & Arjun Bhadhuri & Jennifer A. Whitty, 2020. "Health State Utility Data in Cystic Fibrosis: A Systematic Review," PharmacoEconomics - Open, Springer, vol. 4(1), pages 13-25, March.
    4. Jonathan R. Treadwell, 1998. "Tests of Preferential Independence in the QALY Model," Medical Decision Making, , vol. 18(4), pages 418-428, October.
    5. Attema, Arthur E. & Brouwer, Werner B.F., 2012. "A test of independence of discounting from quality of life," Journal of Health Economics, Elsevier, vol. 31(1), pages 22-34.
    6. W. Dominika Wranik & Liesl Gambold & Natasha Hanson & Adrian Levy, 2017. "The evolution of the cancer formulary review in Canada: Can centralization improve the use of economic evaluation?," International Journal of Health Planning and Management, Wiley Blackwell, vol. 32(2), pages 232-260, April.
    7. Damschroder, Laura J. & Zikmund-Fisher, Brian J. & Ubel, Peter A., 2005. "The impact of considering adaptation in health state valuation," Social Science & Medicine, Elsevier, vol. 61(2), pages 267-277, July.
    8. Dina Jankovic & Pedro Saramago Goncalves & Lina Gega & David Marshall & Kath Wright & Meena Hafidh & Rachel Churchill & Laura Bojke, 2022. "Cost Effectiveness of Digital Interventions for Generalised Anxiety Disorder: A Model-Based Analysis," PharmacoEconomics - Open, Springer, vol. 6(3), pages 377-388, May.
    9. Billingsley Kaambwa & Julie Ratcliffe, 2018. "Predicting EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) Utilities from Older People’s Quality of Life Brief Questionnaire (OPQoL-Brief) Scores," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(1), pages 39-54, February.
    10. Carsten Hirt & Sergio Iannazzo & Silvia Chiroli & Lisa J. McGarry & Philipp Coutre & Leif Stenke & Torsten Dahlén & Jeffrey H. Lipton, 2019. "Cost Effectiveness of the Third-Generation Tyrosine Kinase Inhibitor (TKI) Ponatinib, vs. Second-Generation TKIs or Stem Cell Transplant, as Third-Line Treatment for Chronic-Phase Chronic Myeloid Leuk," Applied Health Economics and Health Policy, Springer, vol. 17(4), pages 555-567, August.
    11. Szeto, Kam Leong & Devlin, Nancy J., 1996. "The cost-effectiveness of mammography screening: evidence from a microsimulation model for New Zealand," Health Policy, Elsevier, vol. 38(2), pages 101-115, November.
    12. Billingsley Kaambwa & Gang Chen & Julie Ratcliffe & Angelo Iezzi & Aimee Maxwell & Jeff Richardson, 2017. "Mapping Between the Sydney Asthma Quality of Life Questionnaire (AQLQ-S) and Five Multi-Attribute Utility Instruments (MAUIs)," PharmacoEconomics, Springer, vol. 35(1), pages 111-124, January.
    13. Miqdad Asaria & Susan Griffin & Richard Cookson, 2016. "Distributional Cost-Effectiveness Analysis," Medical Decision Making, , vol. 36(1), pages 8-19, January.
    14. Donna Rowen & John Brazier & Clara Mukuria & Anju Keetharuth & Arne Risa Hole & Aki Tsuchiya & Sophie Whyte & Phil Shackley, 2016. "Eliciting Societal Preferences for Weighting QALYs for Burden of Illness and End of Life," Medical Decision Making, , vol. 36(2), pages 210-222, February.
    15. Abdullah Pandor & Matt Stevenson & John Stevens & Marrissa Martyn-St James & Jean Hamilton & Jenny Byrne & Claudius Rudin & Andrew Rawdin & Ruth Wong, 2018. "Ponatinib for Treating Chronic Myeloid Leukaemia: An Evidence Review Group Perspective of a NICE Single Technology Appraisal," PharmacoEconomics, Springer, vol. 36(8), pages 903-915, August.
    16. Carmen Herrero Blanco, 2001. "Individual Evidence Of Independence In Health Profiles Evaluation," Working Papers. Serie AD 2001-20, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    17. Stefano Capri, 2013. "The economics of orphan drugs: the case of osteosarcoma treatment," LIUC Papers in Economics 265, Cattaneo University (LIUC).
    18. Nádia Simões & Nuno Crespo & Sandrina B. Moreira & Celeste A. Varum, 2016. "Measurement and determinants of health poverty and richness: evidence from Portugal," Empirical Economics, Springer, vol. 50(4), pages 1331-1358, June.
    19. Ariel Beresniak & Antonieta Medina-Lara & Jean Auray & Alain Wever & Jean-Claude Praet & Rosanna Tarricone & Aleksandra Torbica & Danielle Dupont & Michel Lamure & Gerard Duru, 2015. "Validation of the Underlying Assumptions of the Quality-Adjusted Life-Years Outcome: Results from the ECHOUTCOME European Project," PharmacoEconomics, Springer, vol. 33(1), pages 61-69, January.
    20. Miqdad Asaria & Susan Griffin & Richard Cookson, 2013. "Distributional cost-effectiveness analysis: a tutorial," Working Papers 092cherp, Centre for Health Economics, University of York.

    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:spr:aphecp:v:15:y:2017:i:3:d:10.1007_s40258-017-0312-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.