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Willingness to pay for alternative policies for patients with Alzheimer’s Disease

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  • NEGRÃ N, MIGUEL A.
  • PINILLA, JAIME
  • LEÓN, CARMELO J.

Abstract

This paper focuses on eliciting the willingness to pay (WTP) for policy measures aimed at improving the health care offered to patients suffering from Alzheimer’s disease (AD). We utilize a discrete choice experiment (DCE) approach for the elicitation of the preferences of the general population for three alternative policies: home care, day care centres, and medium or long-stay centres. The results show that these policies are significantly valued across the surveyed population. The monthly WTP per hour of home care is estimated as €4 per individual, while the monthly WTP values for full population coverage in day centres and medium–long-stay centres are estimated as €0.43 and €0.42 respectively. We compare the results of classical and Bayesian estimation methods, and conclude that the latter provide a better representation of the heterogeneity in the sample. The results are significant for health care, as they enable policymakers to identify the social demand for such services, as well as the relative economic values placed on the alternative policy measures.

Suggested Citation

  • Negrã N, Miguel A. & Pinilla, Jaime & Leã“N, Carmelo J., 2008. "Willingness to pay for alternative policies for patients with Alzheimer’s Disease," Health Economics, Policy and Law, Cambridge University Press, vol. 3(3), pages 257-275, July.
    • Handle: RePEc:cup:hecopl:v:3:y:2008:i:03:p:257-275_00
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    Cited by:

    1. Suzana Karim & Benjamin M. Craig & Caroline Vass & Catharina G. M. Groothuis-Oudshoorn, 2022. "Current Practices for Accounting for Preference Heterogeneity in Health-Related Discrete Choice Experiments: A Systematic Review," PharmacoEconomics, Springer, vol. 40(10), pages 943-956, October.
    2. Regier, Dean A. & Ryan, Mandy & Phimister, Euan & Marra, Carlo A., 2009. "Bayesian and classical estimation of mixed logit: An application to genetic testing," Journal of Health Economics, Elsevier, vol. 28(3), pages 598-610, May.
    3. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    4. Anna Nicolet & Clémence Perraudin & Joël Wagner & Ingrid Gilles & Nicolas Krucien & Isabelle Peytremann-Bridevaux & Joachim Marti, 2022. "Patient and Public Preferences for Coordinated Care in Switzerland: Development of a Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(4), pages 485-496, July.
    5. Foster, Michele M. & Earl, Peter E. & Haines, Terry P. & Mitchell, Geoffrey K., 2010. "Unravelling the concept of consumer preference: Implications for health policy and optimal planning in primary care," Health Policy, Elsevier, vol. 97(2-3), pages 105-112, October.
    6. Walsh, Sharon & O'Shea, Eamon & Pierse, Tom & Kennelly, Brendan & Keogh, Fiona & Doherty, Edel, 2020. "Public preferences for home care services for people with dementia: A discrete choice experiment on personhood," Social Science & Medicine, Elsevier, vol. 245(C).
    7. Erih, E. A. & Oni, O. A. & Fashogbon, A. E., 2015. "Consumers’ Willingness to Pay for Cassava Flour Inclusion in Bread, a Case Study of Lagos State, Nigeria," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 4(2).
    8. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.

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