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Preferences for support services among adolescents and young adults with cancer or a blood disorder: A discrete choice experiment

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  • Goodall, Stephen
  • King, Madeleine
  • Ewing, Jane
  • Smith, Narelle
  • Kenny, Patricia

Abstract

Life-threatening illnesses in young people are traumatic for patients and their families. Support services can help patients and families deal with various non-medical impacts of diagnosis, disease and treatment. The aim of this study was to determine which types of support are most valued by adolescents and young adults (AYA) with cancer or blood disorders and their families.

Suggested Citation

  • Goodall, Stephen & King, Madeleine & Ewing, Jane & Smith, Narelle & Kenny, Patricia, 2012. "Preferences for support services among adolescents and young adults with cancer or a blood disorder: A discrete choice experiment," Health Policy, Elsevier, vol. 107(2), pages 304-311.
  • Handle: RePEc:eee:hepoli:v:107:y:2012:i:2:p:304-311
    DOI: 10.1016/j.healthpol.2012.07.004
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    References listed on IDEAS

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    1. Tami L. Mark & Joffre Swait, 2004. "Using stated preference and revealed preference modeling to evaluate prescribing decisions," Health Economics, John Wiley & Sons, Ltd., vol. 13(6), pages 563-573, June.
    2. Yantzi, Nicole & Rosenberg, Mark W. & Burke, Sharon O. & Harrison, Margaret B., 2001. "The impacts of distance to hospital on families with a child with a chronic condition," Social Science & Medicine, Elsevier, vol. 52(12), pages 1777-1791, June.
    3. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    4. Ell, Kathleen, 1996. "Social networks, social support and coping with serious illness: The family connection," Social Science & Medicine, Elsevier, vol. 42(2), pages 173-183, January.
    5. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    6. Emily Lancsar & Elizabeth Savage, 2004. "Deriving welfare measures from discrete choice experiments: inconsistency between current methods and random utility and welfare theory," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 901-907, September.
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    Cited by:

    1. Daniela R. Bien & Marion Danner & Vera Vennedey & Daniele Civello & Silvia M. Evers & Mickaël Hiligsmann, 2017. "Patients’ Preferences for Outcome, Process and Cost Attributes in Cancer Treatment: A Systematic Review of Discrete Choice Experiments," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(5), pages 553-565, October.

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