ArticleInternational health2022
Mobility-related inequality in healthcare utilization between floating and native populations and its influencing factors: evidence from China.
Article in International health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Life and health status of older migrants with hypertension in China: results from the 2018 China health and retirement longitudinal study.BMC public health · 2025Article
- The Role of Social Integration in Chronic Disease Prevalences Among the Internal Migrant Populations in China: Evidence from a National Survey.Healthcare (Basel, Switzerland) · 2025Article
- Analysis of influencing factors and equity in hospitalization expense reimbursement for mobile populations based on random forest model: a cross-sectional study from China.Frontiers in public health · 2025Article
- Analysis on equity of health service utilization and influencing factors in patients with hypertension in China: a longitudinal study.BMC health services research · 2024Article
- Accompanying your children: Living without parents at different stages of pre-adulthood and individual physical and mental health in adulthood.Frontiers in public health · 2023Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our goal was to examine inequality in healthcare utilization and the factors that contribute to inequality between China's floating and native populations. Based on the China Labor-force Dynamics Surveys from 2014 to 2018, which used three rounds of data, we utilized a panel probit model that included fixed effects for time and province to estimate the probability of healthcare utilization for floating and native populations. In addition, we calculated the degree of inequality in healthcare utilization by using the method of mobility-related inequality and a decomposition approach was used to explain the contribution of each factor to the inequality. The floating population utilized healthcare at a lower rate, with a 10.5% probability of visiting a hospital and a 20.9% probability of receiving hospitalized treatment. The concentration index of mobility-related inequality in healthcare utilization shows a negative coefficient of -0.137 for hospital visits and -0.356 for hospitalized treatment. Contribution decomposition shows that self-assessed health, job category and household registration account for the largest contribution to the inequality in hospital visits, contributing -0.038, 0.021 and -0.017, respectively. Age, household registration and insurance account for the largest contribution to the inequality in hospitalized treatment, contributing -0.053, 0.024 and -0.023, respectively. The floating population was less likely to use health services and faced an inequality in treatment compared with the native population.
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