IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v24y2023i6d10.1007_s10198-022-01528-9.html
   My bibliography  Save this article

The application of discrete choice experiments eliciting young peoples’ preferences for healthcare: a systematic literature review

Author

Listed:
  • Galina Williams

    (CQUniversity)

  • Irina Kinchin

    (The University of Dublin)

Abstract

Objectives Understanding young people’s preferences for healthcare is critical for reducing the negative effect of undesirable choices. This review aims to synthesise the evidence obtained from discrete choice experiments (DCEs) eliciting young people’s preferences for healthcare interventions and service deliveries, specifically, to (1) examine the methodology, including a selection of attributes and levels, experimental design, estimation procedure and validity; (2) evaluate similarities, differences and rigour of designs to the general population DCEs; and, (3) compare the DCEs’ application to the seven health priority areas defined by the World Health Organisation (WHO). Methods A systematic review searching Medline, EconLIT, PsychINFO, Scopus, and Web of Science was performed up until May 2021. Inclusion criteria: a DCE, eliciting young peoples’ preferences (10–24 years of age), on a healthcare-related topic defined by WHO, peer-reviewed, full-text available in English. A bespoke checklist was used to assess the methodological quality of the included studies. Results Eighteen DCE studies were included in the review, exploring interventions and service in sexual and reproductive health (n = 9; 50%), smoking cessation (n = 4; 22%), mental health (n = 1), nutrition (n = 1), unintentional injuries (n = 1), vaccination against severe but rare diseases (n = 1); and diabetes (n = 1). Compared to the general population, DCEs eliciting young people’s preferences had a high proportion of monetary measures and a smaller number of choices per respondent with the overwhelming number of surveys using fractional factorial design. The majority of studies were of moderate quality (50–75% of the criteria met). Conclusions While identified DCEs touched on most health priority areas, the scope was limited. The conduct and reporting of DCEs with young people could be improved by including the state-of-the-art design, estimation procedures and analysis.

Suggested Citation

  • Galina Williams & Irina Kinchin, 2023. "The application of discrete choice experiments eliciting young peoples’ preferences for healthcare: a systematic literature review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 987-998, August.
    • Handle: RePEc:spr:eujhec:v:24:y:2023:i:6:d:10.1007_s10198-022-01528-9
    DOI: 10.1007/s10198-022-01528-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-022-01528-9
    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/s10198-022-01528-9?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. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    2. Derek S. Brown & Christine Poulos & F. Reed Johnson & Linda Chamiec-Case & Mark L. Messonnier, 2014. "Adolescent Girls’ Preferences for HPV Vaccines: A Discrete Choice Experiment," Advances in Health Economics and Health Services Research, in: Preference Measurement in Health, volume 24, pages 93-121, Emerald Group Publishing Limited.
    3. Vikas Soekhai & Esther W. Bekker-Grob & Alan R. Ellis & Caroline M. Vass, 2019. "Discrete Choice Experiments in Health Economics: Past, Present and Future," PharmacoEconomics, Springer, vol. 37(2), pages 201-226, February.
    4. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    5. Michael Clark & Domino Determann & Stavros Petrou & Domenico Moro & Esther Bekker-Grob, 2014. "Discrete Choice Experiments in Health Economics: A Review of the Literature," PharmacoEconomics, Springer, vol. 32(9), pages 883-902, September.
    6. Chiara Seghieri & Alessandro Mengoni & Sabina Nuti, 2014. "Applying discrete choice modelling in a priority setting: an investigation of public preferences for primary care models," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(7), pages 773-785, September.
    7. Bing Wang & Gang Chen & Julie Ratcliffe & Hossein Haji Ali Afzali & Lynne Giles & Helen Marshall, 2017. "Adolescent values for immunisation programs in Australia: A discrete choice experiment," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-14, July.
    8. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    9. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    10. Louviere, Jordan J. & Lancsar, Emily, 2009. "Choice experiments in health: the good, the bad, the ugly and toward a brighter future," Health Economics, Policy and Law, Cambridge University Press, vol. 4(4), pages 527-546, October.
    11. David Hensher & John Rose & William Greene, 2005. "The implications on willingness to pay of respondents ignoring specific attributes," Transportation, Springer, vol. 32(3), pages 203-222, May.
    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. de Bekker-Grob, E.W. & Donkers, B. & Bliemer, M.C.J. & Veldwijk, J. & Swait, J.D., 2020. "Can healthcare choice be predicted using stated preference data?," Social Science & Medicine, Elsevier, vol. 246(C).
    2. 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.
    3. Brouwers, Jonas & Cox, Bianca & Van Wilder, Astrid & Claessens, Fien & Bruyneel, Luk & De Ridder, Dirk & Eeckloo, Kristof & Vanhaecht, Kris, 2021. "The future of hospital quality of care policy: A multi-stakeholder discrete choice experiment in Flanders, Belgium," Health Policy, Elsevier, vol. 125(12), pages 1565-1573.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    5. Swait, J. & de Bekker-Grob, E.W., 2022. "A discrete choice model implementing gist-based categorization of alternatives, with applications to patient preferences for cancer screening and treatment," Journal of Health Economics, Elsevier, vol. 85(C).
    6. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    7. Oedingen, Carina & Bartling, Tim & Schrem, Harald & Mühlbacher, Axel C. & Krauth, Christian, 2021. "Public preferences for the allocation of donor organs for transplantation: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 287(C).
    8. Mesfin G. Genie & Nicolas Krucien & Mandy Ryan, 2021. "Weighting or aggregating? Investigating information processing in multi‐attribute choices," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1291-1305, June.
    9. Huls, Samare P.I. & de Bekker-Grob, Esther W., 2022. "Can healthcare choice be predicted using stated preference data? The role of model complexity in a discrete choice experiment about colorectal cancer screening," Social Science & Medicine, Elsevier, vol. 315(C).
    10. Mesfin G. Genie & Mandy Ryan & Nicolas Krucien, 2023. "Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1101-1119, May.
    11. Nicolet, Anna & Perraudin, Clémence & Krucien, Nicolas & Wagner, Joël & Peytremann-Bridevaux, Isabelle & Marti, Joachim, 2023. "Preferences of older adults for healthcare models designed to improve care coordination: Evidence from Western Switzerland," Health Policy, Elsevier, vol. 132(C).
    12. Chavez, Daniel E. & Palma, Marco A. & Nayga, Rodolfo M. & Mjelde, James W., 2020. "Product availability in discrete choice experiments with private goods," Journal of choice modelling, Elsevier, vol. 36(C).
    13. Marta Trapero-Bertran & Beatriz Rodríguez-Martín & Julio López-Bastida, 2019. "What attributes should be included in a discrete choice experiment related to health technologies? A systematic literature review," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-15, July.
    14. Viberg Johansson, Jennifer & Shah, Nisha & Haraldsdóttir, Eik & Bentzen, Heidi Beate & Coy, Sarah & Kaye, Jane & Mascalzoni, Deborah & Veldwijk, Jorien, 2021. "Governance mechanisms for sharing of health data: An approach towards selecting attributes for complex discrete choice experiment studies," Technology in Society, Elsevier, vol. 66(C).
    15. 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.
    16. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    17. Krueger, Rico & Daziano, Ricardo A., 2022. "Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral," Journal of choice modelling, Elsevier, vol. 45(C).
    18. Joachim Marti & John Buckell & Johanna Catherine Maclean & Jody L. Sindelar, 2016. "To ‘Vape’ or Smoke? A Discrete Choice Experiment Among U.S. Adult Smokers," NBER Working Papers 22079, National Bureau of Economic Research, Inc.
    19. Osborne, Matthew & Lambe, Fiona & Ran, Ylva & Dehmel, Naira & Tabacco, Giovanni Alberto & Balungira, Joshua & Pérez-Viana, Borja & Widmark, Erik & Holmlid, Stefan & Verschoor, Arjan, 2022. "Designing development interventions: The application of service design and discrete choice experiments in complex settings," World Development, Elsevier, vol. 158(C).
    20. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.

    More about this item

    Keywords

    Stated preferences; Discrete choice experiment; Youth; Adolescents; Health services; Health policy;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    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:eujhec:v:24:y:2023:i:6:d:10.1007_s10198-022-01528-9. 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.