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Using the Analytic Hierarchy Process to Elicit Patient Preferences

Author

Listed:
  • Marjan Hummel
  • Fabian Volz
  • Jeannette Manen
  • Marion Danner
  • Charalabos-Markos Dintsios
  • Maarten IJzerman
  • Andreas Gerber

Abstract

The AHP can easily be used to elicit patient preferences and the study has demonstrated differences between patients and experts. The AHP is useful for policy makers in combining multiple clinical outcomes of healthcare interventions grounded in randomized controlled trials in an overall health economic evaluation. This may be particularly relevant in cases where different outcome measures lead to conflicting results about the best alternative to reimburse. Alternatively, AHP may also support researchers in selecting (primary) outcome measures with the highest relevance. Copyright Springer International Publishing AG 2012

Suggested Citation

  • Marjan Hummel & Fabian Volz & Jeannette Manen & Marion Danner & Charalabos-Markos Dintsios & Maarten IJzerman & Andreas Gerber, 2012. "Using the Analytic Hierarchy Process to Elicit Patient Preferences," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(4), pages 225-237, December.
  • Handle: RePEc:spr:patien:v:5:y:2012:i:4:p:225-237
    DOI: 10.1007/BF03262495
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    References listed on IDEAS

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    Cited by:

    1. Kapiriri, Lydia & Razavi, Donya, 2017. "How have systematic priority setting approaches influenced policy making? A synthesis of the current literature," Health Policy, Elsevier, vol. 121(9), pages 937-946.
    2. Hanif Malekpoor & Nishikant Mishra & Sameer Kumar, 2022. "A novel TOPSIS–CBR goal programming approach to sustainable healthcare treatment," Annals of Operations Research, Springer, vol. 312(2), pages 1403-1425, May.
    3. Matthias Herpers & Charalabos-Markos Dintsios, 2019. "Methodological problems in the method used by IQWiG within early benefit assessment of new pharmaceuticals in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 45-57, February.

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