IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v341y2024ics0277953623008936.html
   My bibliography  Save this article

Public preferences for the allocation of societal resources over different healthcare purposes

Author

Listed:
  • Boxebeld, Sander
  • Geijsen, Tom
  • Tuit, Charlotte
  • Exel, Job van
  • Makady, Amr
  • Maes, Laurence
  • van Agthoven, Michel
  • Mouter, Niek

Abstract

Increasing healthcare expenditures require governments to make difficult prioritization decisions. Considering public preferences can help raise citizens’ support. Previous research has predominantly elicited preferences for the allocation of public resources towards specific treatments or patient groups and principles for resource allocation. This study contributes by examining public preferences for budget allocation over various healthcare purposes in the Netherlands.

Suggested Citation

  • Boxebeld, Sander & Geijsen, Tom & Tuit, Charlotte & Exel, Job van & Makady, Amr & Maes, Laurence & van Agthoven, Michel & Mouter, Niek, 2024. "Public preferences for the allocation of societal resources over different healthcare purposes," Social Science & Medicine, Elsevier, vol. 341(C).
  • Handle: RePEc:eee:socmed:v:341:y:2024:i:c:s0277953623008936
    DOI: 10.1016/j.socscimed.2023.116536
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953623008936
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2023.116536?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. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    2. Richardson, Jeff & Sinha, Kompal & Iezzi, Angelo & Maxwell, Aimee, 2012. "Maximising health versus sharing: Measuring preferences for the allocation of the health budget," Social Science & Medicine, Elsevier, vol. 75(8), pages 1351-1361.
    3. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
    4. Mouter, Niek & Jara, Karen Trujillo & Hernandez, Jose Ignacio & Kroesen, Maarten & de Vries, Martijn & Geijsen, Tom & Kroese, Floor & Uiters, Ellen & de Bruin, Marijn, 2022. "Stepping into the shoes of the policy maker: Results of a Participatory Value Evaluation for the Dutch long term COVID-19 strategy," Social Science & Medicine, Elsevier, vol. 314(C).
    5. Thijs Dekker & Paul (P.R.) Koster & Niek Mouter, 2019. "The economics of participatory value evaluation," Tinbergen Institute Discussion Papers 19-008/VIII, Tinbergen Institute.
    6. C. M. Dieteren & I. Bonfrer & W. B. F. Brouwer & J. Exel, 2023. "Public preferences for policies promoting a healthy diet: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(9), pages 1429-1440, December.
    7. Niek Mouter & Jose Ignacio Hernandez & Anatol Valerian Itten, 2021. "Public participation in crisis policymaking. How 30,000 Dutch citizens advised their government on relaxing COVID-19 lockdown measures," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-42, May.
    8. van Exel, Job & Baker, Rachel & Mason, Helen & Donaldson, Cam & Brouwer, Werner, 2015. "Public views on principles for health care priority setting: Findings of a European cross-country study using Q methodology," Social Science & Medicine, Elsevier, vol. 126(C), pages 128-137.
    9. Jeroen Luyten & Sandy Tubeuf & Roselinde Kessels, 2022. "Rationing of a scarce life‐saving resource: Public preferences for prioritizing COVID‐19 vaccination," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 342-362, February.
    10. Lewis, Karen E. & Grebitus, Carola & Nayga, Rodolfo M., 2016. "U.S. consumers’ preferences for imported and genetically modified sugar: Examining policy consequentiality in a choice experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 1-8.
    11. Phaedra S. Corso & James K. Hammitt & John D. Graham & Richard C. Dicker & Sue J. Goldie, 2002. "Assessing Preferences for Prevention versus Treatment Using Willingness to Pay," Medical Decision Making, , vol. 22(1_suppl), pages 92-101, September.
    12. Costa -Font, Joan & Forns, Joan Rovira & Sato, Azusa, 2015. "Participatory health system priority setting: Evidence from a budget experiment," Social Science & Medicine, Elsevier, vol. 146(C), pages 182-190.
    13. Amitabh Chandra & Jonathan Skinner, 2012. "Technology Growth and Expenditure Growth in Health Care," Journal of Economic Literature, American Economic Association, vol. 50(3), pages 645-680, September.
    14. Lessard, Chantale, 2007. "Complexity and reflexivity: Two important issues for economic evaluation in health care," Social Science & Medicine, Elsevier, vol. 64(8), pages 1754-1765, April.
    15. Jennifer Whitty & Emily Lancsar & Kylie Rixon & Xanthe Golenko & Julie Ratcliffe, 2014. "A Systematic Review of Stated Preference Studies Reporting Public Preferences for Healthcare Priority Setting," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(4), pages 365-386, December.
    16. Tenaw G. Abate & Morten R. Mørkbak & Søren B. Olsen, 2018. "Inducing value and institutional learning effects in stated choice experiments using advanced disclosure and instructional choice set treatments," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 339-351, May.
    17. Xiaohui You & Albert A. Okunade, 2017. "Income and Technology as Drivers of Australian Healthcare Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 853-862, July.
    18. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    19. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    20. Rotteveel, A. H. & Lambooij, M. S. & Over, E. A. B. & Hernández, J. I. & Suijkerbuijk, A. W. M. & de Blaeij, A. T. & de Wit, G. A. & Mouter, N., 2022. "If you were a policymaker, which treatment would you disinvest? A participatory value evaluation on public preferences for active disinvestment of health care interventions in the Netherlands," Health Economics, Policy and Law, Cambridge University Press, vol. 17(4), pages 428-443, October.
    21. Regier, Dean A. & Bentley, Colene & Mitton, Craig & Bryan, Stirling & Burgess, Michael M. & Chesney, Ellen & Coldman, Andy & Gibson, Jennifer & Hoch, Jeffrey & Rahman, Syed & Sabharwal, Mona & Sawka, , 2014. "Public engagement in priority-setting: Results from a pan-Canadian survey of decision-makers in cancer control," Social Science & Medicine, Elsevier, vol. 122(C), pages 130-139.
    22. Bae, Eun-Young & Lim, Min Kyoung & Lee, Boram & Bae, Green & Hong, Jihyung, 2023. "Public preferences in healthcare resource allocation: A discrete choice experiment in South Korea," Health Policy, Elsevier, vol. 138(C).
    23. van 't Veer, Renske & Annema, Jan Anne & Araghi, Yashar & Homem de Almeida Correia, Gonçalo & van Wee, Bert, 2023. "Mobility-as-a-Service (MaaS): A latent class cluster analysis to identify Dutch vehicle owners’ use intention," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    24. Krucien, Nicolas & Heidenreich, Sebastian & Gafni, Amiram & Pelletier-Fleury, Nathalie, 2020. "Measuring public preferences in France for potential consequences stemming from re-allocation of healthcare resources," Social Science & Medicine, Elsevier, vol. 246(C).
    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. Bahamonde-Birke, Francisco J. & Geigenmüller, Iris M. & Mouter, Niek & van Lierop, Dea S. & Ettema, Dick F., 2024. "How do I want the city council to spend our budget? Conceiving MaaS from a citizen's perspective … (as well as biking infrastructure and public transport)," Transport Policy, Elsevier, vol. 145(C), pages 96-104.
    2. Mulderij, Lisanne S. & Hernández, José Ignacio & Mouter, Niek & Verkooijen, Kirsten T. & Wagemakers, Annemarie, 2021. "Citizen preferences regarding the public funding of projects promoting a healthy body weight among people with a low income," Social Science & Medicine, Elsevier, vol. 280(C).
    3. Hernandez, Jose Ignacio & van Cranenburgh, Sander & Chorus, Caspar & Mouter, Niek, 2023. "Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments," Journal of choice modelling, Elsevier, vol. 46(C).
    4. Gu, Yuanyuan & Lancsar, Emily & Ghijben, Peter & Butler, James RG & Donaldson, Cam, 2015. "Attributes and weights in health care priority setting: A systematic review of what counts and to what extent," Social Science & Medicine, Elsevier, vol. 146(C), pages 41-52.
    5. Anna Nicolet & Antoinette D I van Asselt & Karin M Vermeulen & Paul F M Krabbe, 2020. "Value judgment of new medical treatments: Societal and patient perspectives to inform priority setting in The Netherlands," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-18, July.
    6. Rotteveel, Adriënne H. & Lambooij, Mattijs S. & van Exel, Job & de Wit, G. Ardine, 2022. "To what extent do citizens support the disinvestment of healthcare interventions? An exploration of the support for four viewpoints on active disinvestment in the Netherlands," Social Science & Medicine, Elsevier, vol. 293(C).
    7. Olde Kalter, Marie-José & La Paix Puello, Lissy & Geurs, Karst T., 2020. "Do changes in travellers’ attitudes towards car use and ownership over time affect travel mode choice? A latent transition approach in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 1-17.
    8. Mason, Helen & van Exel, Job & Baker, Rachel & Brouwer, Werner & Donaldson, Cam, 2016. "From representing views to representativeness of views: Illustrating a new (Q2S) approach in the context of health care priority setting in nine European countries," Social Science & Medicine, Elsevier, vol. 166(C), pages 205-213.
    9. Wouters, S. & van Exel, N.J.A. & Rohde, K.I.M. & Vromen, J.J. & Brouwer, W.B.F., 2017. "Acceptable health and priority weighting: Discussing a reference-level approach using sufficientarian reasoning," Social Science & Medicine, Elsevier, vol. 181(C), pages 158-167.
    10. Collewet, Marion & Koster, Paul, 2023. "Preference estimation from point allocation experiments," Journal of choice modelling, Elsevier, vol. 48(C).
    11. Jeremiah Hurley & Emmanouil Mentzakis & Mita Giacomini & Deirdre DeJean & Michel Grignon, 2017. "Non-market resource allocation and the public’s interpretation of need: an empirical investigation in the context of health care," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 49(1), pages 117-143, June.
    12. Shah, Koonal K. & Tsuchiya, Aki & Wailoo, Allan J., 2018. "Valuing health at the end of life: A review of stated preference studies in the social sciences literature," Social Science & Medicine, Elsevier, vol. 204(C), pages 39-50.
    13. Niek Mouter & Paul Koster & Thijs Dekker, 2019. "An introduction to Participatory Value Evaluation," Tinbergen Institute Discussion Papers 19-024/V, Tinbergen Institute, revised 15 Dec 2019.
    14. Gao, Ya & Pan, Haixiao & Xie, Zhilin & Habib, Khandker Nurul, 2023. "Understanding patients heterogeneity in healthcare travel and hospital choice - A latent class analysis with covariates," Journal of Transport Geography, Elsevier, vol. 110(C).
    15. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).
    16. Alene Sze Jing Yong & Yi Heng Lim & Mark Wing Loong Cheong & Ednin Hamzah & Siew Li Teoh, 2022. "Willingness-to-pay for cancer treatment and outcome: a systematic review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1037-1057, August.
    17. Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt, 2016. "Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 209-224, June.
    18. Mahieu, Pierre-Alexandre & Andersson, Henrik & Beaumais, Olivier & Crastes dit Sourd, Romain & Hess, François-Charles & Wolff, François-Charles, 2017. "Stated preferences: a unique database composed of 1657 recent published articles in journals related to agriculture, environment, or health," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 98(3), November.
    19. Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari, 2018. "A data driven equivariant approach to constrained Gaussian mixture modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 235-260, June.
    20. Böhm, Robert & Letmathe, Peter & Schinner, Matthias, 2023. "The monetary value of competencies: A novel method and case study in smart manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    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:eee:socmed:v:341:y:2024:i:c:s0277953623008936. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.