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How to Present a Decision Object in Health Preference Research: Attributes and Levels, the Decision Model, and the Descriptive Framework.
Mühlbacher, Axel C; de Bekker-Grob, Esther W; Rivero-Arias, Oliver; Levitan, Bennett; Vass, Caroline.
Afiliação
  • Mühlbacher AC; HS Neubrandenburg, Brodaer Straße 2, 17033, Neubrandenburg, Germany. muehlbacher@hs-nb.de.
  • de Bekker-Grob EW; Erasmus School of Health Policy & Management, Erasmus Choice Modelling Centre, Erasmus Centre for Health Economics Rotterdam, Erasmus University Rotterdam, Rotterdam, The Netherlands.
  • Rivero-Arias O; Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • Levitan B; Janssen R&D, Titusville, NJ, USA.
  • Vass C; RTI Health Solutions, Manchester, UK.
Patient ; 2024 Feb 10.
Article em En | MEDLINE | ID: mdl-38341385
ABSTRACT
In health preference research (HPR) studies, data are generated by participants'/subjects' decisions. When developing an HPR study, it is therefore important to have a clear understanding of the components of a decision and how those components stimulate participant behavior. To obtain valid and reliable results, study designers must sufficiently describe the decision model and its components. HPR studies require a detailed examination of the decision criteria, detailed documentation of the descriptive framework, and specification of hypotheses. The objects that stimulate subjects' decisions in HPR studies are defined by attributes and attribute levels. Any limitations in the identification and presentation of attributes and levels can negatively affect preference elicitation, the quality of the HPR data, and study results. This practical guide shows how to link the HPR question to an underlying decision model. It covers how to (1) construct a descriptive framework that presents relevant characteristics of a decision object and (2) specify the research hypotheses. The paper outlines steps and available methods to achieve all this, including the methods' advantages and limitations.

Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Patient Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Temas: ECOS / Financiamentos_gastos Bases de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Patient Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha