IDEAS home Printed from https://ideas.repec.org/a/spr/patien/v14y2021i5d10.1007_s40271-021-00506-2.html
   My bibliography  Save this article

Patient Preferences of Low-Dose Aspirin for Cardiovascular Disease and Colorectal Cancer Prevention in Italy: A Latent Class Analysis

Author

Listed:
  • Tommi Tervonen

    (Patient-Centered Research, Evidera
    University of Groningen)

  • Pareen Vora

    (Epidemiology, Bayer AG)

  • Jaein Seo

    (Patient-Centered Research, Evidera)

  • Nicolas Krucien

    (Patient-Centered Research, Evidera)

  • Kevin Marsh

    (Patient-Centered Research, Evidera)

  • Raffaele De Caterina

    (University of Pisa, Pisa University Hospital
    Fondazione VillaSerena per la Ricerca, Città Sant’Angelo)

  • Ulrike Wissinger

    (Medical Affairs, Bayer AG)

  • Montse Soriano Gabarró

    (Epidemiology, Bayer AG)

Abstract

Background Patients taking low-dose aspirin to prevent cardiovascular disease (CVD) may also benefit from a reduced risk of colorectal cancer (CRC). Objective The aim was to examine the preferences of people eligible for preventive treatment with low-dose aspirin and the trade-offs they are willing to make between CVD prevention, CRC prevention, and treatment risks. Methods A cross-sectional study using a discrete choice experiment (DCE) survey was conducted in Italy in 2019 to elicit preferences for three benefit attributes (prevention of ischemic stroke, myocardial infarction, and CRC) and four risk attributes (intracranial and gastrointestinal bleeding, peptic ulcer, and severe allergic reaction) associated with use of low-dose aspirin. Latent class logit models were used to evaluate variation in treatment preferences. Results The DCE survey was completed by 1005 participants eligible for use of low-dose aspirin. A four-class model had the best fit for the primary CVD prevention group (n = 491), and a three-class model had the best fit for the secondary CVD prevention group (n = 514). For the primary CVD prevention group, where classes differed on age, education level, type 2 diabetes, exercise, and low-dose aspirin use, the most important attributes were intracranial bleeding (two classes), myocardial infarction (one class), and CRC (one class). For the secondary CVD prevention group, where classes differed on various comorbidities, self-reported health, exercise, and CVD medication use, the most important attributes were intracranial bleeding (two classes), myocardial infarction (one class), and gastrointestinal bleeding (one class). Conclusion Patient preferences for the benefits and risks of low-dose aspirin differ significantly among people eligible for treatment as primary or secondary CVD prevention.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:patien:v:14:y:2021:i:5:d:10.1007_s40271-021-00506-2
    DOI: 10.1007/s40271-021-00506-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40271-021-00506-2
    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/s40271-021-00506-2?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

    for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Krinsky, Itzhak & Robb, A Leslie, 1990. "On Approximating the Statistical Properties of Elasticities: A Correction," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 189-190, February.
    3. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
    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. 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.
    2. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    3. Sarrias, Mauricio & Daziano, Ricardo A., 2018. "Individual-specific point and interval conditional estimates of latent class logit parameters," Journal of choice modelling, Elsevier, vol. 27(C), pages 50-61.
    4. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    5. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    6. Chaikaew, Pasicha & Hodges, Alan W. & Grunwald, Sabine, 2017. "Estimating the value of ecosystem services in a mixed-use watershed: A choice experiment approach," Ecosystem Services, Elsevier, vol. 23(C), pages 228-237.
    7. Zawojska, Ewa & Czajkowski, Mikotaj, 2017. "Are preferences stated in web vs. personal interviews different? A comparison of willingness to pay results for a large multi-country study of the Baltic Sea eutrophication reduction," Annual Meeting, 2017, June 18-21, Montreal, Canada 258604, Canadian Agricultural Economics Society.
    8. Brox, James A. & Fader, Christina, 1996. "Production elasticity differences between just-in-time and non-just-in-time users in the automotive parts industry," The North American Journal of Economics and Finance, Elsevier, vol. 7(1), pages 77-90.
    9. Otrachshenko, Vladimir & Tyurina, Elena & Nagapetyan, Artur, 2022. "The economic value of the Glass Beach: Contingent valuation and life satisfaction approaches," Ecological Economics, Elsevier, vol. 198(C).
    10. Khan, Mohammed Tajuddin & Kishore, Avinash & Joshi, Pramod K., 2016. "Gender dimensions on farmers’ preferences for direct-seeded rice with drum seeder in India," IFPRI discussion papers 1550, International Food Policy Research Institute (IFPRI).
    11. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    12. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    13. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
    14. Torres, Marcelo de O. & Felthoven, Ronald G., 2014. "Productivity growth and product choice in catch share fisheries: The case of Alaska pollock," Marine Policy, Elsevier, vol. 50(PA), pages 280-289.
    15. Glaser, Lewrene K. & Thompson, Gary D., 2000. "Demand For Organic And Conventional Beverage Milk," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36346, Western Agricultural Economics Association.
    16. Cheng, Haotian & Zhang, Tong & Lambert, Dayton M. & Feuz, Ryan, 2023. "An empirical comparison of conjoint and best-worst scaling case III methods," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
    17. Jakus, Paul M. & Dowell, Paula & Murray, Matthew N., 2000. "The Effect Of Fluctuating Water Levels On Reservoir Fishing," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-13, December.
    18. Kallas, Z. & Gómez-Limón, J.A., 2007. "Valoración De La Multifuncionalidad Agraria: Una Aplicación A Través Del Método De Los Experimentos De Elección/Agricultural Multifunctionality Valuation: A Case Study Using The Choice Experiment," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 25, pages 107-144, Abril.
    19. Kerstin K Zander & Gillian B Ainsworth & Jürgen Meyerhoff & Stephen T Garnett, 2014. "Threatened Bird Valuation in Australia," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-9, June.
    20. Concu, Giovanni B., 2007. "Investigating distance effects on environmental values: a choice modelling approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 1-20.

    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:spr:patien:v:14:y:2021:i:5:d:10.1007_s40271-021-00506-2. 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.