Evidence map›Paper›PMID 41853154›Full record

ArticleFrontiers in public health2026

From cultural constraints to structural resilience: a comparative analysis of end-of-life care policies in China, South Korea, the U.S., and the U.K.

Songwu Luo, Dongje Cho, Jaehyun Cho

Abstract readComparative Study
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Songwu LuoDepartment of Law, Dong-A University, Busan, Republic of Korea.
Dongje ChoDepartment of Law, Dong-A University, Busan, Republic of Korea.
Jaehyun ChoDepartment of Law, Dong-A University, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As global populations age at unprecedented rates, nations worldwide confront the challenge of developing effective end-of-life (EoL) care systems. While advance directives (ADs) represent a cornerstone of patient-centered dying, their adoption varies dramatically across jurisdictions. This study introduces a novel dual-dimensional analytical framework-"Resilience from Scale" and "Resilience from Structure"-to explain cross-national variations in EoL care policy effectiveness among China, South Korea, the United States, and the United Kingdom. Methods: Using a comparative, secondary-data-based design, we apply a Most Similar Systems Design to the East Asian cases and comparative institutional analysis to the Western cases. We employ semi-quantitative, ordinal coding of "Scale" and "Structure" indicators to assess how resource capacity and institutional configurations align with divergent policy outcomes. Results: The comparative evidence suggests that higher structural resilience-operationalized through national legislation, insurance integration, and state capacity/legitimacy-tends to be more consistently aligned with higher AD implementation than cultural explanations or resource availability alone. South Korea's post-2018 shift following the Life-Sustaining Treatment Decision Act provides a salient within-case contrast, supporting the comparative plausibility that institutional design can coincide with substantial changes in advance care planning uptake even where cultural constraints are often assumed to be strong. Conclusion: These findings challenge culturally deterministic interpretations in EoL policy research and propose a "Structural Adaptation Model" as a heuristic for jurisdictions seeking to develop effective advance care planning systems.

Indexed as

Health PolicyTerminal CareAdvance DirectivesChinaCross-Cultural ComparisonHumansRepublic of KoreaUnited KingdomUnited Statesadvance directivescomparative health policyconfucian cultureend-of-life carepalliative care policystructural resilience

Identifiers

PMID41853154
PMCPMC12992241

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.