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Many countries face rapidly ageing populations, resulting in a rising demand for long-term care (LTC) for older people and an increased pressure on LTC systems. In responding to this development, governments face challenging trade-offs between different policy measures and their effects. To inform allocation decisions, this study elicited citizens’ policy preferences for LTC for older people in the Netherlands in 2040. We conducted a constrained portfolio choice experiment, in which 997 respondents composed a portfolio of their preferred policies, subject to a budget constraint, while being presented with the expected effects of their choices. Choices were analysed using a Multiple Discrete Continuous Extreme Value (MDCEV) choice model and a Latent Class Cluster Analysis (LCCA). The results suggest a preference for distributing resources towards multiple policies, including both nursing and social care, over investing heavily in one or two particularly. Also, most respondents chose portfolios constituting a substantial public expenditure increase, suggesting a widespread willingness to accept a tax increase to allow for this. Preferences were particularly heterogeneous with respect to expenditure levels and the adoption of supportive care technologies and compulsory social service for young adults. Policymakers may use these results to support the selection of a portfolio of LTC policies that aligns with public preferences.
Boxebeld et al. (Fri,) studied this question.