IDEAS home Printed from https://ideas.repec.org/a/spr/hecrev/v10y2020i1d10.1186_s13561-020-00276-x.html
   My bibliography  Save this article

Using discrete choice experiments to measure preferences for hard to observe choice attributes to inform health policy decisions

Author

Listed:
  • Eline Broek-Altenburg

    (University of Vermont)

  • Adam Atherly

    (University of Vermont)

Abstract

Background Models of preferences in health services research (HSR) and Health Economics are often defined by readily available information, such as that captured in claims data and electronic health records. Yet many important questions about patient choices cannot be easily studied because of a lack of critical data elements. The objective of this review is to outline the advantages of using stated preferences (SP) data in health services research, and to outline how these methods can be used to evaluate choices that have not yet been offered or studied. Main body This article focuses on the application of DCE’s to relevant policy and health system delivery questions currently relevant, particularly in the United States. DCE’s may be helpful to collect data from patient or consumer data that we currently do not have. The article provides examples of research questions that have been answered using SP data collected with a DCE. It outlines how to construct a DCE and how to analyze the data. It also discusses the methodological challenges and emphasizes important considerations regarding the design and estimation methods. SP data can be adopted in situations where we would like to have consumer choice data, but we currently do not. These are often hypothetical situations to analyze the decision-making process of individuals. With SP data it is possible to analyze trade-offs patients make when choosing between treatment options where these hard to measure attributes are important. Conclusion This paper emphasizes that a carefully designed DCE and appropriate estimation methods can open up a new world of data regarding trade-offs patients and providers in healthcare are willing to make. It updates previous “how to” guide for DCE’s for health services researchers and health economists who are not familiar with these methods or have been unwilling to use them and updates previous description of these methods with timely examples.

Suggested Citation

  • Eline Broek-Altenburg & Adam Atherly, 2020. "Using discrete choice experiments to measure preferences for hard to observe choice attributes to inform health policy decisions," Health Economics Review, Springer, vol. 10(1), pages 1-8, December.
    • Handle: RePEc:spr:hecrev:v:10:y:2020:i:1:d:10.1186_s13561-020-00276-x
    DOI: 10.1186/s13561-020-00276-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s13561-020-00276-x
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s13561-020-00276-x?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. Nick Hanley & Robert Wright & Vic Adamowicz, 1998. "Using Choice Experiments to Value the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 413-428, April.
    2. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 6th July 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-07-06 11:00:00

    Citations

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


    Cited by:

    1. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    2. Wang, Sophie Y. & Cantarelli, Paola & Groene, Oliver & Stargardt, Tom & Belle, Nicola, 2023. "Patient expectations do matter - Experimental evidence on antibiotic prescribing decisions among hospital-based physicians," Health Policy, Elsevier, vol. 128(C), pages 11-17.

    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. 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.
    2. Robbett, Andrea & Matthews, Peter Hans, 2018. "Partisan bias and expressive voting," Journal of Public Economics, Elsevier, vol. 157(C), pages 107-120.
    3. Ridier, Aude & Roussy, Caroline & Chaib, Karim, 2021. "Adoption of crop diversification by specialized grain farmers in south-western France: evidence from a choice-modelling experiment," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 102(1), April.
    4. 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.
    5. 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.
    6. Bergmann, Ariel & Colombo, Sergio & Hanley, Nicholas & Ready, Richard & Stewart, Mairi & Watson, Fiona, 2008. "The impacts of knowledge of the past on preferences for future landscape change," Stirling Economics Discussion Papers 2008-05, University of Stirling, Division of Economics.
    7. Domínguez-Torreiro, Marcos & Soliño, Mario, 2011. "Provided and perceived status quo in choice experiments: Implications for valuing the outputs of multifunctional rural areas," Ecological Economics, Elsevier, vol. 70(12), pages 2523-2531.
    8. Roussy, Caroline & Ridier, Aude & Chaib, Karim, 2014. "A methodological proposal to approach farmers’ adoption behavior: stated preferences and perceptions of the innovation," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182983, European Association of Agricultural Economists.
    9. Catherine M.H. Keske & Greta Lohman & John B. Loomis, 2013. "Do Respondents Report Willingness-to-Pay on a per Person or per Group Basis? A High Mountain Recreation Example," Tourism Economics, , vol. 19(1), pages 133-145, February.
    10. Mattozzi, Andrea & Snowberg, Erik, 2018. "The right type of legislator: A theory of taxation and representation," Journal of Public Economics, Elsevier, vol. 159(C), pages 54-65.
    11. Jasper Grashuis & Theodoros Skevas & Michelle S. Segovia, 2020. "Grocery Shopping Preferences during the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(13), pages 1-10, July.
    12. Maksym Polyakov & Morteza Chalak & Md. Sayed Iftekhar & Ram Pandit & Sorada Tapsuwan & Fan Zhang & Chunbo Ma, 2018. "Authorship, Collaboration, Topics, and Research Gaps in Environmental and Resource Economics 1991–2015," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 217-239, September.
    13. Jeanette A.M.J. Deetlefs & Mathew Chylinski & Andreas Ortmann, 2015. "MTurk ‘Unscrubbed’: Exploring the good, the ‘Super’, and the unreliable on Amazon’s Mechanical Turk," Discussion Papers 2015-20, School of Economics, The University of New South Wales.
    14. Bart Neuts & Peter Nijkamp & Eveline Van Leeuwen, 2012. "Crowding Externalities from Tourist Use of Urban Space," Tourism Economics, , vol. 18(3), pages 649-670, June.
    15. Cantarella, Michele & Strozzi, Chiara, 2019. "Workers in the Crowd: The Labour Market Impact of the Online Platform Economy," IZA Discussion Papers 12327, Institute of Labor Economics (IZA).
    16. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    17. Rolfe, John & Windle, Jill & Bennett, Jeffrey W. & Mazur, Kasia, 2013. "Calibration of values in benefit transfer to account for variations in geographic scale and scope: Comparing two choice modelling experiments," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152176, Australian Agricultural and Resource Economics Society.
    18. John Hulland & Jeff Miller, 2018. "“Keep on Turkin’”?," Journal of the Academy of Marketing Science, Springer, vol. 46(5), pages 789-794, September.
    19. Kyungsik Han, 2018. "How do you perceive this author? Understanding and modeling authors’ communication quality in social media," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    20. Azzam, Tarek & Harman, Elena, 2016. "Crowdsourcing for quantifying transcripts: An exploratory study," Evaluation and Program Planning, Elsevier, vol. 54(C), pages 63-73.

    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:hecrev:v:10:y:2020:i:1:d:10.1186_s13561-020-00276-x. 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/economics/journal/13561 .

    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.