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Preferences for Oral Anticoagulants in Atrial Fibrillation: a Best–Best Discrete Choice Experiment

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  • Peter Ghijben
  • Emily Lancsar
  • Silva Zavarsek

Abstract

Based on the study sample and the modelled attributes, the overall profiles of the new oral anticoagulants were preferred to warfarin as their cost decreased. Public subsidisation and the development of antidotes (such as vitamin K for warfarin) for the new oral anticoagulants may have a positive effect on the under-treatment of AF. Copyright Springer International Publishing Switzerland 2014

Suggested Citation

  • Peter Ghijben & Emily Lancsar & Silva Zavarsek, 2014. "Preferences for Oral Anticoagulants in Atrial Fibrillation: a Best–Best Discrete Choice Experiment," PharmacoEconomics, Springer, vol. 32(11), pages 1115-1127, November.
    • Handle: RePEc:spr:pharme:v:32:y:2014:i:11:p:1115-1127
    DOI: 10.1007/s40273-014-0188-0
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    References listed on IDEAS

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    1. Lancsar, Emily & Louviere, Jordan & Donaldson, Cam & Currie, Gillian & Burgess, Leonie, 2013. "Best worst discrete choice experiments in health: Methods and an application," Social Science & Medicine, Elsevier, vol. 76(C), pages 74-82.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    3. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
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    1. Buckell, John & Hess, Stephane, 2019. "Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data," Journal of Health Economics, Elsevier, vol. 65(C), pages 93-102.
    2. Ekta Y. Pandya & Beata Bajorek, 2017. "Factors Affecting Patients’ Perception On, and Adherence To, Anticoagulant Therapy: Anticipating the Role of Direct Oral Anticoagulants," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(2), pages 163-185, April.
    3. Geržinič, Nejc & van Cranenburgh, Sander & Cats, Oded & Lancsar, Emily & Chorus, Caspar, 2021. "Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment," Journal of choice modelling, Elsevier, vol. 41(C).
    4. Emily Lancsar & Jemimah Ride & Nicole Black & Leonie Burgess & Anna Peeters, 2022. "Social acceptability of standard and behavioral economic inspired policies designed to reduce and prevent obesity," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 197-214, January.
    5. Galárraga, Omar & Kuo, Caroline & Mtukushe, Bulelwa & Maughan-Brown, Brendan & Harrison, Abigail & Hoare, Jackie, 2020. "iSAY (incentives for South African youth): Stated preferences of young people living with HIV," Social Science & Medicine, Elsevier, vol. 265(C).
    6. Blake, Miranda R. & Lancsar, Emily & Peeters, Anna & Backholer, Kathryn, 2019. "Sugar-sweetened beverage price elasticities in a hypothetical convenience store," Social Science & Medicine, Elsevier, vol. 225(C), pages 98-107.
    7. Kei Long Cheung & Ben F. M. Wijnen & Ilene L. Hollin & Ellen M. Janssen & John F. Bridges & Silvia M. A. A. Evers & Mickael Hiligsmann, 2016. "Using Best–Worst Scaling to Investigate Preferences in Health Care," PharmacoEconomics, Springer, vol. 34(12), pages 1195-1209, December.
    8. Tommi Tervonen & Pareen Vora & Jaein Seo & Nicolas Krucien & Kevin Marsh & Raffaele De Caterina & Ulrike Wissinger & Montse Soriano Gabarró, 2021. "Patient Preferences of Low-Dose Aspirin for Cardiovascular Disease and Colorectal Cancer Prevention in Italy: A Latent Class Analysis," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(5), pages 661-672, September.
    9. John Buckell & Joachim Marti & Jody L. Sindelar, 2017. "Should Flavors be Banned in E-cigarettes? Evidence on Adult Smokers and Recent Quitters from a Discrete Choice Experiment," NBER Working Papers 23865, National Bureau of Economic Research, Inc.
    10. Samare P. I. Huls & Emily Lancsar & Bas Donkers & Jemimah Ride, 2022. "Two for the price of one: If moving beyond traditional single‐best discrete choice experiments, should we use best‐worst, best‐best or ranking for preference elicitation?," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2630-2647, December.
    11. Emily Lancsar & Denzil G. Fiebig & Arne Risa Hole, 2017. "Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software," PharmacoEconomics, Springer, vol. 35(7), pages 697-716, July.
    12. Qingyin Cai & Yulian Ding & Calum Tuvey & Yuehua Zhang, 2021. "The influence of past experience on farmers’ preferences for hog insurance products: a natural experiment and choice experiment in China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 399-421, July.
    13. Nicolas Krucien & Jonathan Sicsic & Mandy Ryan, 2019. "For better or worse? Investigating the validity of best–worst discrete choice experiments in health," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 572-586, April.
    14. Thomas Wilke & Sabine Bauer & Sabrina Mueller & Thomas Kohlmann & Rupert Bauersachs, 2017. "Patient Preferences for Oral Anticoagulation Therapy in Atrial Fibrillation: A Systematic Literature Review," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(1), pages 17-37, February.
    15. Kaat de Corte & John Cairns & Richard Grieve, 2021. "Stated versus revealed preferences: An approach to reduce bias," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1095-1123, May.
    16. Lim, Siew & Wachenheim, Cheryl, 2022. "Predicted enrollment in alternative attribute Conservation Reserve Program contracts," Land Use Policy, Elsevier, vol. 117(C).
    17. Keshtkaran, Mahsa & Churilov, Leonid & Hearne, John & Abbasi, Babak & Meretoja, Atte, 2016. "Validation of a decision support model for investigation and improvement in stroke thrombolysis," European Journal of Operational Research, Elsevier, vol. 253(1), pages 154-169.

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