Internal and external aspects of freedom of choice in mental health: cultural and linguistic adaptation of the Hungarian version of the Oxford CAPabilities questionnaire—Mental Health (OxCAP-MH)

Background: A link between mental health and freedom of choice has long been established, in fact, the loss of freedom of choice is one of the possible defining features of mental disorders. Freedom of choice has internal and external aspects explicitly identified within the capability approach, but received little explicit attention in capability instruments. This study aimed to develop a feasible and linguistically and culturally appropriate Hungarian version of the Oxford CAPabilities questionnaire—Mental Health (OxCAP-MH) for mental health outcome measurement. Methods: Following forward and back translations, a reconciled Hungarian version of the OxCAP-MH was developed following professional consensus guidelines of the International Society for Pharmacoeconomics and Outcomes Research and the WHO. The wording of the questionnaire underwent cultural and linguistic validation through content analysis of cognitive debriefing interviews with 11 Hungarian speaking mental health patients in 2019. Results were compared with those from the development of the German version and the original English version with special focus on linguistic aspects. Results: Twenty-nine phrases were translated. There were linguistic differences in each question and answer options due to the high number of inflected, affixed words and word fragments that characterize the Hungarian language in general. Major linguistic differences were also revealed between the internal and external aspects of capability freedom of choices which appear much more explicit in the Hungarian than in the English or German languages. A re-analysis of the capability freedom of choice concepts in the existing language versions exposed the need for minor amendments also in the English version in order to allow the development of future culturally, linguistically and conceptually valid translations. Conclusion: The internal and external freedom of choice impacts of mental health conditions require different care/policy measures. Their explicit consideration is necessary for the conceptually harmonised operationalisation of the capability approach for (mental) health outcome measurement in diverse cultural and linguistic contexts

Estimating weights for the active ageing index (AAI) from stated preferences: Proposal for a discrete choice experiment (DCE)

This chapter outlines how Discrete Choice Experiments (DCEs) could be used to estimate alternative weights for the Active Ageing Index (AAI) based on stated preferences. The approach is based on Random Utility Theory and could provide valuable information on marginal substitution rates between AAI indicators and domains. Complementing the current AAI methodology with preference-based weights may also allow assessing preference variation across different social, cultural or geographic contexts. This would help define more targeted active and healthy ageing policies and interventions, incorporate stakeholders’ views in the valuation of policy outcomes and enhance the acceptance of the Index as a tool for policy analysis

Developing attributes for discrete choice experiments in health: a systematic literature review and case study of alcohol misuse interventions

Discrete Choice Experiments (DCEs) become increasingly popular to value outcomes for health economic studies and gradually gain acceptance as an input into policy decisions. Developing attributes is a key aspect for the design of DCEs, as their results may misguide decision makers if they are based on an inappropriate set of attributes. However the area lacks guidance and current health-related DCE studies vary considerably in their methods of attribute development, with the consequent danger of providing an unreliable input for policy decisions. The aim of this paper is to inform the progress towards a more systematic approach to attribute development for DCE studies in health. A systematic review of the published health-related DCE literature was conducted to lay the foundations for a generic framework which was tested in a case study of alcohol misuse interventions. Four stages of a general attribute development process emerged: (i) raw data collection; (ii) data reduction; (iii) removing inappropriate attributes; and (iv) wording. The case study compared and contrasted a qualitative and mixed methods approach for the development of attributes for DCEs in the area of alcohol misuse interventions. This paper provides a reference point for the design of future DCE experiments in health.JRC.J.3-Information Societ

Strategic Intelligence Monitor on Personal Health Systems. Phase 3 (SIMPHS 3). Report on the methodological set-up for the SIMPHS3 research

This report presents the methodological set-up for the SIMPHS3 study, whose overall objective is the analysis of how Health Information Technologies (HIT) may facilitate integration in the provision of health and social care services in specific European regions and settings. To this end, a number of integrated care and independent living initiatives will be selected for building case studies. The analysis of these cases should facilitate the definition of best practices in integrated care and independent living and should help identify the potential transferability of specific models to other regions or settings. The scope of this methodological report is therefore to define: a) The approach to the selection and development of the case studies on ICT enabled integrated care services and b) A framework of analysis that facilitates the definition of best practice and takes into account transferability aspects.JRC.J.3-Information Societ

Estimating weights for the Active Ageing Index (AAI) from stated preferences: proposal for a Discrete Choice Experiment (DCE)

This chapter outlines how Discrete Choice Experiments (DCEs) could be used to estimate alternative weights for the Active Ageing Index (AAI) based on stated preferences. The approach is based on Random Utility Theory and could provide valuable information on marginal substitution rates between AAI indicators and domains. Complementing the current AAI methodology with preference-based weights may also allow assessing preference variation across different social, cultural or geographic contexts. This would help define more targeted active and healthy ageing policies and interventions, incorporate stakeholders’ views in the valuation of policy outcomes and enhance the acceptance of the Index as a tool for policy analysis.JRC.B.4-Human Capital and Employmen