RESUMO
BACKGROUND: Inequality in health and health care remains a rather challenging issue in China, existing both in rural and urban area, and between rural and urban. This study used nationally representative data to assess inequality in both rural and urban China separately and to identify socioeconomic factors that may contribute to this inequality. METHODS: This study used 2008 National Health Services Survey data. Demographic characteristics, income, health status, medical service utilization, and medical expenses were collected. Horizontal inequality analysis was performed using nonlinear regression method. RESULTS: Positive inequity in outpatient services and inpatient service was evident in both rural and urban area of China. Greater inequity of outpatient service use in urban than that in rural areas was evident (horizontal inequity index [HI]â=â0.085 vs 0.029). In contrast, rural areas had greater inequity of inpatient service use compared to urban areas (HIâ=â0.21 vs 0.16). The decomposition analysis found that the household income made the greatest pro-rich contribution in both rural and urban China. However, chronic diseases and aging were also important contributors to the inequality in rural area. CONCLUSION: The inequality in health service in both rural and urban China was mainly attributed to the household income. In addition, chronic disease and aging were associated with inequality in rural population. Those findings provide evidences for policymaker to develop a sustainable social welfare system in China.
Assuntos
Utilização de Instalações e Serviços/estatística & dados numéricos , Disparidades em Assistência à Saúde/economia , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , População Rural/estatística & dados numéricos , População Urbana/estatística & dados numéricos , Adolescente , Adulto , Fatores Etários , Idoso , China , Feminino , Gastos em Saúde/estatística & dados numéricos , Nível de Saúde , Humanos , Renda/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Fatores Socioeconômicos , Adulto JovemRESUMO
BACKGROUND: Leukemia can create a significant economic burden on the patients and their families. The objective of this study is to assess the medical expenditure and compensation of pediatric leukemia, and to explore the incidence and determinants of catastrophic health expenditure (CHE) among households with pediatric leukemia patients in China. METHODS: A cross-sectional interview was conducted among households living with pediatric leukemia using a questionnaire in two tertiary hospitals. CHE was defined as out-of-pocket (OOP) payments that were greater than or equal to 40% of a household's capacity to pay (CTP). Chi-square tests and logistic regression analysis were performed to identify the determinants of CHE. RESULTS: Among 242 households living with pediatric leukemia, the mean OOP payment for pediatric leukemia healthcare was $9860, which accounted for approximately 35.7% of the mean household's CTP. The overall incidence of CHE was 43.4% and showed a downward trend with the lowest income group at 69.0% to the highest income group at 16.1%. The logistic regression model found that medical insurance, frequency of hospital admissions, charity assistance, and income level were significant predictors of CHE. CONCLUSION: The results revealed that pediatric leukemia had a significant catastrophic effect on families, especially those with lower economic status. The occurrence of CHE in households living with pediatric leukemia could be reduced by addressing income disparity. In addition, extending coverage and improving compensation from medical insurance could also alleviate CHE. Some other measures that can be implemented are to address the barriers of charity assistance for vulnerable groups.
Assuntos
Estresse Financeiro/economia , Custos de Cuidados de Saúde , Gastos em Saúde , Renda , Leucemia/economia , Leucemia/terapia , Adolescente , Adulto , Idade de Início , Criança , Pré-Escolar , China/epidemiologia , Estudos Transversais , Feminino , Estresse Financeiro/epidemiologia , Humanos , Incidência , Lactente , Entrevistas como Assunto , Leucemia/epidemiologia , Masculino , Pessoa de Meia-Idade , Medição de Risco , Fatores de RiscoRESUMO
BACKGROUND: Conventional estimates of poverty do not take account of out-of-pocket payments to finance health care. We aimed to reassess measures of poverty in 11 low-to-middle income countries in Asia by calculating total household resources both with and without out-of-pocket payments for health care. METHODS: We obtained data on payments for health care from nationally representative surveys, and subtracted these payments from total household resources. We then calculated the number of individuals with less than the internationally accepted threshold of absolute poverty (US1 dollar per head per day) after making health payments. We also assessed the effect of health-care payments on the poverty gap--the amount by which household resources fell short of the 1 dollar poverty line in these countries. FINDINGS: Our estimate of the overall prevalence of absolute poverty in these countries was 14% higher than conventional estimates that do not take account of out-of-pocket payments for health care. We calculated that an additional 2.7% of the population under study (78 million people) ended up with less than 1 dollar per day after they had paid for health care. In Bangladesh, China, India, Nepal, and Vietnam, where more than 60% of health-care costs are paid out-of-pocket by households, our estimates of poverty were much higher than conventional figures, ranging from an additional 1.2% of the population in Vietnam to 3.8% in Bangladesh. INTERPRETATION: Out-of-pocket health payments exacerbate poverty. Policies to reduce the number of Asians living on less than 1 dollar per day need to include measures to reduce such payments.
Assuntos
Gastos em Saúde , Pobreza/classificação , Ásia , Coleta de Dados , Humanos , Pobreza/economiaRESUMO
Out-of-pocket (OOP) payments are the principal means of financing health care throughout much of Asia. We estimate the magnitude and distribution of OOP payments for health care in fourteen countries and territories accounting for 81% of the Asian population. We focus on payments that are catastrophic, in the sense of severely disrupting household living standards, and approximate such payments by those absorbing a large fraction of household resources. Bangladesh, China, India, Nepal and Vietnam rely most heavily on OOP financing and have the highest incidence of catastrophic payments. Sri Lanka, Thailand and Malaysia stand out as low to middle income countries that have constrained both the OOP share of health financing and the catastrophic impact of direct payments. In most low/middle-income countries, the better-off are more likely to spend a large fraction of total household resources on health care. This may reflect the inability of the poorest of the poor to divert resources from other basic needs and possibly the protection of the poor from user charges offered in some countries. But in China, Kyrgyz and Vietnam, where there are no exemptions of the poor from charges, they are as, or even more, likely to incur catastrophic payments.