ArticleHealth economics review2026
Explaining changes in socioeconomic inequality in catastrophic health expenditure in China: a mobility-determinant decomposition.
Article in Health economics review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundCatastrophic health expenditure (CHE) remains a central challenge to achieving financial protection and equity in health systems. While extensive evidence shows that CHE remains disproportionately concentrated among socioeconomically disadvantaged households, most studies adopt a static perspective and provide limited insights into how CHE inequality evolves over time and through which mechanisms. This study aims to examine changes in socioeconomic inequality in CHE in China and disentangle the underlying channels from a household mobility perspective.
methodsUsing nationally representative longitudinal data from the 2010 and 2020 waves of the China Family Panel Studies, socioeconomic-related CHE inequality was measured using Erreygers' corrected concentration index, with household per capita wealth as the ranking variable. An integrated mobility-determinant decomposition framework was employed to quantify the contributions of both mobility processes and socioeconomic, demographic, and health system-related factors to changes in CHE inequality. Robustness analyses were performed using alternative CHE definitions, different specifications of household socioeconomic status, and an alternative decomposition approach.
resultsCHE remained disproportionately concentrated among lower-wealth households in both waves, although the magnitude of inequality declined significantly between 2010 and 2020. This reduction was primarily driven by progressive contribution of wealth-related CHE mobility, indicating larger improvements in financial protection among initially poorer households, while the regressive contribution of CHE-related wealth mobility partially offset these gains. Lower wealth quintiles, urban residence, and social health insurance coverage were associated with the reduction in CHE inequality, whereas higher wealth quintiles and household ageing were associated with attenuating the inequality reduction, reflecting heterogenous contributions through distinct mobility channels. Robustness checks confirmed the stability of the main findings.
conclusionsSocioeconomic inequality in CHE in China has narrowed over the past decade, primarily due to progressive improvements in financial protection. However, persistent wealth stratification and population ageing continue to constrain further reductions in CHE inequality. Monitoring progress toward universal health coverage requires attention not only to aggregate CHE incidence but also to the underlying mobility processes and structural determinants that influence distributional change.
Indexed as
Identifiers
42474906What OpenQuestion holds
Registered trials
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.