Measurement and decomposition of income-related inequality in self-rated health among the elderly in China.

BACKGROUND: Population ageing in China has brought increasing attention to the health inequalities of the elderly. The purpose of this paper is to measure income-related health inequality among the elderly in China and decompose its causes. METHODS: The data are from the China Health and Retirement Longitudinal Study (CHARLS) survey in 2013, which contains 6176 individuals aged 60 years and above. A multiple linear regression model was used to analyze the influencing factors of self-rated health (SRH) among the elder people. Furthermore, the corrected concentration index were used to measure income-related health inequality. Wagstaff-type decomposition analysis was employed to explore the cause of inequality. The measurement and decomposition of health inequality was also performed separately in the male and female subgroups. RESULTS: Most elderly declared their health status as "fair" (51.33%) or "poor" (21.88%). Income, gender, residence, region, health insurance and other factors had significant association with SRH (P < 0.05). The corrected concentration index (CCI) was 0.06, indicating pro-rich inequality in health among the elderly. Decomposition analyses revealed that the main contributors to health inequality included income, residence, region, health insurance, and employment. For female elderly, most of the inequality was due to residence (50.78%) and income (49.51%); for male elderly, most of the inequality was due to insurance (38.65%) and income (22.26%); for the total sample, employment had a negative contribution to health inequality (- 25.83%). CONCLUSION: The findings confirm a high proportion of elderly with poor SRH, and health inequality in the Chinese. Some socioeconomic strategies should be conducted to reduce this health inequality among the elderly, such as reducing income disparities, consolidating health insurance schemes, and narrowing urban-rural and regional gaps. Older females with low incomes in rural areas are a vulnerable subgroup and warrant targeted policy attention.

Social determinants of delivery mode in Jiangsu, China.

BACKGROUND: Less evidence exists regarding the association of social determinants and delivery mode in Jiangsu, and if the trend is influenced by the type of residence. This study aims to identify the significant social determinants of delivery mode, and also to compare the main differences in delivery mode between urban and rural areas. METHODS: We used data from the cross-sectional National Health Service Surveys conducted in Jiangsu Province in 2013. For the purposes of this study, information from women (15-64 years old) who had experienced childbirth the last 5 years were examined, and a total of 1365 participants were selected as research subjects. RESULTS: Participants using vaginal delivery mode and cesarean delivery mode were found in 616 (45.1%) and 751(54.9%) participants, respectively. The proportion of women using cesarean delivery was 53.5% in rural area and 58.2% in urban area. Meanwhile, our results showed that women in middle Jiangsu were more likely to use cesarean delivery, and cesarean delivery is more prevalent among richer women. We also find that the more use of prenatal care visit, the more use of cesarean delivery. CONCLUSIONS: This study validated the relationship between social determinants and the mode of delivery in Jiangsu province. Social determinants are contextual factors, which may vary by region and additional work is needed to fully understand these relationships globally. Further studies are needed to elucidate mechanisms and pathways across various populations, and these social determinants should be incorporated into future multi-level interventions designed to decrease the cesarean delivery rate.

Correction to: Effect of closure of live poultry markets in China on prevention and control of human infection with H7N9 avian influenza: a case study of four cities in Jiangsu Province.

Due to an unfortunate oversight the acknowledgements has been omitted.

Effect of closure of live poultry markets in China on prevention and control of human infection with H7N9 avian influenza: a case study of four cities in Jiangsu Province.

As of August 2017, China had encountered five seasonal epidemics of H7N9 avian influenza. To prevent people from contracting H7N9 avian influenza, most cities closed live poultry markets (LPMs) to cut off the source of H7N9 virus. The objective of this study is to assess the impact of LPMs closure on reducing zoonotic transmission of avian influenza A (H7N9) virus and to make specific recommendations on the duration of closing the LPMs. Results show that the closure of LPMs can effectively control the spread of H7N9 avian influenza and reduce the incidence of human infection with H7N9. If cases of H7N9 avian influenza continue to occur, LPMs should close for at least 3-4 weeks in susceptible areas to control the spread of infection.

Determinants of the utilization of postpartum family visits: Evidence from rural areas of Eastern China.

BACKGROUND: Postpartum Family Visits (PFVs) have been advocated as a way to improve health outcomes for puerperal women and their newborns. This study aimed to identify individual factors associated with the utilization of PFVs in rural Jiangsu Province, China. METHODS: We employed responses of the household survey in Jiangsu province, part of the National Health Service Survey (NHSS), a nationally representative survey in China. The data analysis framework was designed based on Andersen's behavioral model. The outcome variables included nonuse and deficient use of PFVs, and the explanatory variables were organized into three hierarchical levels: predisposing, enabling and need factors. Univariate analysis and multivariate logistic regression analysis were conducted to examine the impact of the three hierarchical levels on PFVs utilization. RESULTS: A total of 884 rural women who had a childbearing history in the prior five years answered PFVs questions. About 23.4% of them had never received any PFVs, and 40.4% received <3 visits. In the results of multivariate logistic regression, educational level (OR = 0.43, 95% CI: 0.24-0.77), income (OR = 0.62, 95% CI: 0.43-0.88), the distance from the nearest hospital (OR = 1.49, 95% CI: 1.07-2.07) and parity (OR = 2.17, 95% CI: 1.54-3.05) had significant relationship with nonuse. Factors significantly associated with deficient use of PFVs included employment (OR = 0.62, 95% CI: 0.39-0.98), the distance from the nearest hospital (OR = 1.73, 95% CI: 1.26-2.36), level of delivery institution (OR = 1.57, 95% CI: 1.14-2.17), and parity (OR = 1.45, 95% CI: 1.03-2.05). CONCLUSION: The study found lower Social Economic Status (SES), long distance with primary health institutions, and the increased need for services stemming from multi-parity reduced the likelihood of nonuse or deficient use of PFVs in rural areas. Multiparous, low SES women and those living far away from primary health institutions should be paid more attention to assure the coverage of postpartum care.