2019
China in transition: health, wealth, and globalisation
Liu GG, Chen X. China in transition: health, wealth, and globalisation. The Lancet Public Health 2019, 4: e444-e445. PMID: 31493838, PMCID: PMC6790332, DOI: 10.1016/s2468-2667(19)30151-3.Peer-Reviewed Original ResearchDecomposing inequality in catastrophic health expenditure for self-reported hypertension household in Urban Shaanxi, China from 2008 to 2013: two waves’ cross-sectional study
Si Y, Zhou Z, Su M, Wang X, Lan X, Wang D, Gong S, Xiao X, Shen C, Ren Y, Zhao D, Hong Z, Bian Y, Chen X. Decomposing inequality in catastrophic health expenditure for self-reported hypertension household in Urban Shaanxi, China from 2008 to 2013: two waves’ cross-sectional study. BMJ Open 2019, 9: e023033. PMID: 31076467, PMCID: PMC6528006, DOI: 10.1136/bmjopen-2018-023033.Peer-Reviewed Original ResearchConceptsCatastrophic health expenditurePro-poor inequalityMixed householdsHealth expenditureIncome-related inequalitiesNational Health Services SurveyPocket healthcare expenditureHousehold economic statusFifth National Health Service SurveysHealthcare reformHealth Services SurveyCHE occurrenceHousehold capacityObserved inequalitiesProbit regressionUrban ChinaConcentration indexHouseholdsHealthcare expendituresEconomic statusChina's healthcare reformElderly membersExpenditureInequalityServices Survey
2018
Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China
Lan X, Zhou Z, Si Y, Shen C, Fan X, Chen G, Zhao D, Chen X. Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China. BMC Health Services Research 2018, 18: 871. PMID: 30458772, PMCID: PMC6245518, DOI: 10.1186/s12913-018-3698-1.Peer-Reviewed Original ResearchConceptsHealth payment-induced povertyNational Health Services SurveyChronic patientsChronic diseasesChina National Health Services SurveyMore chronic diseasesNational Health SurveyHealth Services SurveyHeavy economic burdenLogistic regression modelsHealth paymentsHealth SurveyMethodsThe dataEconomic burdenPatientsFurther healthcare reformProtective factorsDiseaseIncidenceServices SurveyRural areasVulnerable groupsRegression modelsHealthcare reformHousehold members