The Broken Shield of European Palliative Care: Evidence from Synthetic Counterfactuals on Financial Toxicity and Informal Care
Pietro Grassi, Edoardo Paperi, Chiara Seghieri, Daniele Vignoli

TL;DR
This study uses synthetic data models to evaluate European palliative care's economic impact, revealing it often reduces financial and informal care burdens but can impose severe penalties on vulnerable households.
Contribution
Introduces a novel synthetic data generation framework with diffusion models to analyze palliative care's economic effects across Europe, accounting for structural inequalities.
Findings
Palliative care generally reduces out-of-pocket costs and informal caregiving burdens.
Vulnerable households face significant penalties, especially in severe tail events.
Socio-demographics and institutional factors heavily influence the economic impact.
Abstract
The transition of end-of-life care to palliative care (PC) sparks intense debate: does it provide economic relief or shift unremunerated labor costs onto families? Evaluating this is hindered by causal inference challenges and skewed healthcare costs. To overcome these limitations, we introduce a Synthetic Data Generation framework. Using pan-European SHARE data (2016-2021), we deploy Tabular Denoising Diffusion Probabilistic Models within a Two-Learner architecture to synthesize high-fidelity digital twins. By including the 2020-2021 lockdowns, we leverage the COVID-19 pandemic to isolate structural inequalities from transient market shocks. Our findings challenge the strict cost-shifting hypothesis: on average, PC acts as a "double shield", truncating out-of-pocket expenditures (financial toxicity) and informal caregiving shadow values (time poverty). However, quantile treatment…
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