IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0160351.html
   My bibliography  Save this article

Testing and Treating Women after Unsuccessful Conservative Treatments for Overactive Bladder or Mixed Urinary Incontinence: A Model-Based Economic Evaluation Based on the BUS Study

Author

Listed:
  • Ilias Goranitis
  • Pelham Barton
  • Lee J Middleton
  • Jonathan J Deeks
  • Jane P Daniels
  • Pallavi Latthe
  • Arri Coomarasamy
  • Suneetha Rachaneni
  • Shanteela McCooty
  • Tina S Verghese
  • Tracy E Roberts

Abstract

Objective: To compare the cost-effectiveness of bladder ultrasonography, clinical history, and urodynamic testing in guiding treatment decisions in a secondary care setting for women failing first line conservative treatment for overactive bladder or urgency-predominant mixed urinary incontinence. Design: Model-based economic evaluation from a UK National Health Service (NHS) perspective using data from the Bladder Ultrasound Study (BUS) and secondary sources. Methods: Cost-effectiveness analysis using a decision tree and a 5-year time horizon based on the outcomes of cost per woman successfully treated and cost per Quality-Adjusted Life-Year (QALY). Deterministic and probabilistic sensitivity analyses, and a value of information analysis are also undertaken. Results: Bladder ultrasonography is more costly and less effective test-treat strategy than clinical history and urodynamics. Treatment on the basis of clinical history alone has an incremental cost-effectiveness ratio (ICER) of £491,100 per woman successfully treated and an ICER of £60,200 per QALY compared with the treatment of all women on the basis of urodynamics. Restricting the use of urodynamics to women with a clinical history of mixed urinary incontinence only is the optimal test-treat strategy on cost-effectiveness grounds with ICERs of £19,500 per woman successfully treated and £12,700 per QALY compared with the treatment of all women based upon urodynamics. Conclusions remained robust to sensitivity analyses, but subject to large uncertainties. Conclusions: Treatment based upon urodynamics can be seen as a cost-effective strategy, and particularly when targeted at women with clinical history of mixed urinary incontinence only. Further research is needed to resolve current decision uncertainty.

Suggested Citation

  • Ilias Goranitis & Pelham Barton & Lee J Middleton & Jonathan J Deeks & Jane P Daniels & Pallavi Latthe & Arri Coomarasamy & Suneetha Rachaneni & Shanteela McCooty & Tina S Verghese & Tracy E Roberts, 2016. "Testing and Treating Women after Unsuccessful Conservative Treatments for Overactive Bladder or Mixed Urinary Incontinence: A Model-Based Economic Evaluation Based on the BUS Study," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-18, August.
  • Handle: RePEc:plo:pone00:0160351
    DOI: 10.1371/journal.pone.0160351
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0160351
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0160351&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0160351?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
    ---><---

    References listed on IDEAS

    as
    1. Briggs, Andrew & Sculpher, Mark & Claxton, Karl, 2006. "Decision Modelling for Health Economic Evaluation," OUP Catalogue, Oxford University Press, number 9780198526629.
    2. Karl Claxton, 1999. "Bayesian approaches to the value of information: implications for the regulation of new pharmaceuticals," Health Economics, John Wiley & Sons, Ltd., vol. 8(3), pages 269-274, May.
    3. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    4. Gray, Alastair M. & Clarke, Philip M. & Wolstenholme, Jane L. & Wordsworth, Sarah, 2010. "Applied Methods of Cost-effectiveness Analysis in Healthcare," OUP Catalogue, Oxford University Press, number 9780199227280.
    Full references (including those not matched with items on IDEAS)

    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. Bogumił Kamiński & Michał Jakubczyk & Przemysław Szufel, 2018. "A framework for sensitivity analysis of decision trees," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 135-159, March.
    2. Claire McKenna & Karl Claxton, 2011. "Addressing Adoption and Research Design Decisions Simultaneously," Medical Decision Making, , vol. 31(6), pages 853-865, November.
    3. Andrija S Grustam & Nasuh Buyukkaramikli & Ron Koymans & Hubertus J M Vrijhoef & Johan L Severens, 2019. "Value of information analysis in telehealth for chronic heart failure management," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-23, June.
    4. Manuel A. Espinoza & Andrea Manca & Karl Claxton & Mark J. Sculpher, 2014. "The Value of Heterogeneity for Cost-Effectiveness Subgroup Analysis," Medical Decision Making, , vol. 34(8), pages 951-964, November.
    5. Anna Heath & Ioanna Manolopoulou & Gianluca Baio, 2017. "A Review of Methods for Analysis of the Expected Value of Information," Medical Decision Making, , vol. 37(7), pages 747-758, October.
    6. Stefano Conti & Karl Claxton, 2009. "Dimensions of Design Space: A Decision-Theoretic Approach to Optimal Research Design," Medical Decision Making, , vol. 29(6), pages 643-660, November.
    7. Ian Wadsworth & Lisa V. Hampson & Thomas Jaki & Graeme J. Sills & Anthony G. Marson & Richard Appleton, 2020. "A quantitative framework to inform extrapolation decisions in children," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 515-534, February.
    8. Eric Kaun Santos Silva & June Alisson Westarb Cruz & Maria Alexandra Viegas Cortez Cunha & Thyago Proença Moraes & Sandro Marques & Eduardo Damião Silva, 2021. "Cost-effectiveness in health: consolidated research and contemporary challenges," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-10, December.
    9. Anna Heath & Ioanna Manolopoulou & Gianluca Baio, 2018. "Efficient Monte Carlo Estimation of the Expected Value of Sample Information Using Moment Matching," Medical Decision Making, , vol. 38(2), pages 163-173, February.
    10. Björn Stollenwerk & Stefan K. Lhachimi & Andrew Briggs & Elisabeth Fenwick & Jaime J. Caro & Uwe Siebert & Marion Danner & Andreas Gerber‐Grote, 2015. "Communicating the Parameter Uncertainty in the IQWiG Efficiency Frontier to Decision‐Makers," Health Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 481-490, April.
    11. Robbin H Ophuis & Joran Lokkerbol & Juanita A Haagsma & Mickaël Hiligsmann & Silvia M A A Evers & Suzanne Polinder, 2018. "Value of information analysis of an early intervention for subthreshold panic disorder: Healthcare versus societal perspective," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-13, November.
    12. Jill Bindels & Bram Ramaekers & Isaac Corro Ramos & Leyla Mohseninejad & Saskia Knies & Janneke Grutters & Maarten Postma & Maiwenn Al & Talitha Feenstra & Manuela Joore, 2016. "Use of Value of Information in Healthcare Decision Making: Exploring Multiple Perspectives," PharmacoEconomics, Springer, vol. 34(3), pages 315-322, March.
    13. Hester V Eeren & Saskia J Schawo & Ron H J Scholte & Jan J V Busschbach & Leona Hakkaart, 2015. "Value of Information Analysis Applied to the Economic Evaluation of Interventions Aimed at Reducing Juvenile Delinquency: An Illustration," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-15, July.
    14. Jill Bindels & Bram Ramaekers & Isaac Ramos & Leyla Mohseninejad & Saskia Knies & Janneke Grutters & Maarten Postma & Maiwenn Al & Talitha Feenstra & Manuela Joore, 2016. "Use of Value of Information in Healthcare Decision Making: Exploring Multiple Perspectives," PharmacoEconomics, Springer, vol. 34(3), pages 315-322, March.
    15. Álvaro Hidalgo-Vega & Juan Ramos-Goñi & Renata Villoro, 2014. "Cost-utility of ranolazine for the symptomatic treatment of patients with chronic angina pectoris in Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(9), pages 917-925, December.
    16. Massimo Bilancia & Giuseppe Pasculli & Danilo Di Bona, 2020. "A non-stationary Markov model for economic evaluation of grass pollen allergoid immunotherapy," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-33, May.
    17. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    18. Valeria Costantini & Francesco Crespi & Giovanni Marin & Elena Paglialunga, 2016. "Eco-innovation, sustainable supply chains and environmental performance in European industries," LEM Papers Series 2016/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    19. Chiranjeev Sanyal & Don Husereau, 2020. "Systematic Review of Economic Evaluations of Services Provided by Community Pharmacists," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 375-392, June.
    20. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.

    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:plo:pone00:0160351. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.