ArticleThe patient2026
Attribute Development and Level Selection for a Discrete Choice Experiment to Elicit Care Preferences of Older Adults and Informal Caregivers Aging in Place in The Netherlands.
Article in The patient, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe Netherlands reformed its long-term care policy to encourage older adults to age in place with the support of informal caregivers. It remains unclear whether the available care and support options align with the needs and preferences of older adults and caregivers. Discrete choice experiments (DCE) are increasingly used to identify individual preferences. This study describes the development of attributes (e.g., emotional support) and attribute levels (e.g., psychologist and case manager) for a DCE on aging-in-place preferences among older adults and informal caregivers in The Netherlands.
methodsSemi-structured interviews were conducted with older adults and informal caregivers to identify key components for successful aging in place. Interviews were transcribed, and reflexive thematic analysis identified patterns that led to a list of attributes. Visuals of these attributes were created and presented to a new sample of informal caregivers and older adults in focus groups to rank attributes and define attribute levels.
resultsAttributes identified through the interviews (N = 28) included housing, personal care, household tasks, transportation, social activities, digital skills, and help navigating the healthcare system. Focus groups (N = 35) found that older adults prioritized housing, while informal caregivers prioritized navigating the healthcare system. Transportation and digital skills were ranked as the least important and were excluded from the final list of attributes.
conclusionsOur findings provide a detailed understanding of aging-in-place preferences of older adults and informal caregivers. These insights will inform a DCE to quantify preferences and provide evidence for policymakers. This study increases transparency about the process of attribute development and level selection, contributing to the quality of the final DCE study.
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