Attribute Development and Level Selection for a Discrete Choice Experiment to Elicit Care Preferences of Older Adults...

The 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.

Semi-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.

Attributes 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.

Our 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.