Offspring Education and Parents' Health Inequality in China: Evidence from Spillovers of Education Reform.

In the context of a rapidly aging population, improving the parents' health outcomes, especially in parents with poorer health, is essential for narrowing elderly health inequality. Using data from the China Health and Retirement Longitudinal Study, we took the university enrollment expansion policy as the instrumental variable and employed the two-stage least square (2SLS) and instrumental variable quantile regression (IVQR) approaches to explore the spillovers of offspring education on the elderly parents' frailty index. The results show that one additional year of offspring educational attainment was associated with a 0.017 or 4.66% decline in the parents' frailty index. These spillovers are stronger where parents are cohabiting with their children than when separating (more than 2 times higher). Moreover, there is substantial heterogeneity that is determined by the gender of parents. The spillover on mothers is greater than that on fathers. Further analysis of a cohort of parents with different frailty indexes reveals that the upward spillovers of offspring education on parents' health are non-linear and non-averaged. The spillovers may diminish as parents own health improves. These spillovers suppress the "Matthew Effect", which can lead to the further widening of health inequality.

The Effect of China's Two-Child Policy on the Child Sex Ratio: Evidence From Shanghai, China.

OBJECTIVE: The bias towards males at birth has resulted in a major imbalance in the Chinese sex ratio that is often attributed to China's one-child policy. Relaxation of the one-child policy has the potential to reduce the imbalance in the sex ratio away from males. In this study, we assessed whether the bias towards males in the child sex ratio was reduced as a result of the two-child policy in China. Medical records data from one large municipal-level obstetrics hospital in Shanghai, East China. DESIGN: Matching and difference-in-differences (MDID) techniques were used to investigate the effect of the two-child policy on the imbalance in the sex ratio at birth after matching for pregnancy status and socioeconomic factors. RESULTS: Analyzing 133,358 live births suggest that the relaxation of the one-child policy had a small, but statistically significant effect in reducing the imbalance in the male to female sex ratio at birth. CONCLUSION: The results demonstrate that relaxation of the one-child policy reduced the imbalance in the male to female sex ratio at birth from 1.10 to 1.05 over the study period at one of the major obstetrics and gynecology hospitals in China.

Impacts of Absolute and Relative Income on Self-Rated Health in Urban and Rural China.

This study aims to assess the impacts of absolute and relative income on self-rated health (SRH) of residents in rural and urban China. Data were derived from the China Health and Nutrition Survey. Three distinct measures of relative income were considered (Gini coefficient, Yitzhaki index, and Deaton index) and computed for 3 geographic units (nation, province, and community). Nonlinear dynamic models for panel data were employed to test the absolute and relative income hypotheses. Absolute income was significantly associated with SRH among urban and rural populations. Relative income, as measured by the Gini coefficient, the Yitzhaki index, and the Deaton index, had statistically significant and negative impacts on SRH among the rural population, regardless of the reference group. For the urban population, the Gini coefficient was associated with SRH regardless of the reference group. In contrast, only the Yitzhaki index and the Deaton index at the provincial level were associated with SRH among the urban population. Our findings may provide a reference for policymakers to implement health policies designed to improve population health.

Determinants of primary and non-primary informal care-giving to home-based palliative care cancer care-recipients in Ontario, Canada.

Informal care plays an important role in the care of care-recipients. Most of the previous studies focused on the primary caregivers and ignored the importance of non-primary caregivers. Moreover, little is known about the provision of informal care in the context of home-based palliative care. The purpose of this study was to examine the provision of primary and non-primary informal care-giving and their respective determinants. Primary caregivers assume the main responsibility for care, while non-primary caregivers are those other than the primary caregiver who provide care-giving. A longitudinal, prospective cohort design was conducted and data were drawn from two palliative care programs in Canada between November 2013 and August 2017. A total of 273 caregivers of home-based palliative care cancer care-recipients were interviewed biweekly until the care recipient died. The outcomes were the propensity and intensity of informal care-giving. Regression analysis with instrumental variables was used. About 90% of primary caregivers were spouses and children, while 53% of non-primary caregivers were others rather than spouses and children. The average number of hours of primary and non-primary informal care-giving reported for each 2-week interview period was 83 hr and 23 hr, respectively. Hours of home-based personal support workers decreased the intensity of primary care-giving and the likelihood of non-primary care-giving. Home-based nursing visits increased the propensity of non-primary care-giving. The primary care-giving and non-primary care-giving complement each other. Care recipients living alone received less primary informal care-giving. Employed primary caregivers decreased their provision of primary care-giving, but promoted the involvement of non-primary care-giving. Our study has clinical practices and policy implications. Suitable and targeted interventions are encouraged to make sure the provision of primary and non-primary care-giving, to balance the work of the primary caregivers and their care-giving responsibility, and to effectively arrange the formal home-based palliative care services.

Childhood Nutrition in Rural China: What Impact Does Public Health Insurance Have?

OBJECTIVES: To investigate the impact of public health insurance coverage, specifically the New Cooperative Medical Scheme (NCMS), on childhood nutrition in poor rural households in China, and to identify the mechanisms through which health insurance coverage affects nutritional intake. METHODS: Longitudinal data on 3291 children were taken from four time periods (2004, 2006, 2009, and 2011) from the China Health and Nutrition Survey (CHNS). Panel data analysis was performed with the fixed-effect model and the propensity score matching with difference-in-differences (PSM-DID) approach. RESULTS: The introduction of the NCMS was associated with a decline in calories, fat, and protein intake, and an increase in the intake of carbohydrates. The NCMS had the greatest negative effect on children aged 0 to 5 years, particularly girls. Out-of-pocket medical expenses were identified as the main channel through which the NCMS affected the nutritional intake of children. CONCLUSIONS: The study showed that the NCMS neither significantly improved the nutritional status of children nor enhanced intake of high-quality nutrients among rural poor households. These findings were attributed to the way in which health-seeking behavior was modified in the light of NCMS coverage. Specifically, NCMS coverage tended to increase healthcare utilization, which in turn increased out-of-pocket medical expenditures. This encouraged savings to aid financial risk protection and resulted in less disposable income for food consumption.

What Variables Contribute to the Achievement of a Preferred Home Death for Cancer Patients in Receipt of Home-Based Palliative Care in Canada?

BACKGROUND: Home is often deemed to be the preferred place of death for most patients. Knowing the factors related to the actualization of a preferred home death may yield evidence to enhance the organization and delivery of healthcare services. OBJECTIVE: The objectives of this study were to measure the congruence between a preferred and actualized home death among cancer patients in receipt of home-based palliative care in Canada and explore predictors of actualizing a preferred home death. METHODS: A longitudinal prospective cohort design was conducted. A total of 290 caregivers were interviewed biweekly over the course of patients' palliative care trajectory between July 2010 and August 2012. Cross-tabulations and multivariate analyses were used in the analysis. RESULTS: Home was the most preferred place of death, and 68% of patients who had voiced a preference for home death had their wish fulfilled. Care context variables, such as living with others and the intensity of home-based nursing visits and hours of care provided by personal support workers (PSW), contributed to actualizing a preferred home death. The intensity of emergency department visits was associated with a lower likelihood of achieving a preferred home death. CONCLUSIONS: Higher intensity of home-based nursing visits and hours of PSW care contribute to the actualization of a preferred home death. IMPLICATIONS FOR PRACTICE: This study has implications for policy decision-makers and healthcare managers. Improving and expanding the provision of home-based PSW and nursing services in palliative home care programs may help patients to actualize a preferred home death.

The determinants of the intensity of home-based informal care among cancer patients in receipt of home-based palliative care.

BACKGROUND: Understanding the determinants of the intensity of informal care may assist policy makers in the identification of supports for informal caregivers. Little is known about the utilization of informal care throughout the palliative care trajectory. AIM: The purpose of this study was to analyze the intensity and determinants of the use of informal care among cancer patients over the palliative care trajectory. DESIGN: This was a longitudinal, prospective cohort design conducted in Canada. Regression analysis using instrumental variables was applied. SETTING/PARTICIPANTS: From November 2013 to August 2017, a total of 273 caregivers of cancer patients were interviewed biweekly over the course of the care recipient's palliative care trajectory. The outcome was the number of hours of informal care provided by unpaid caregivers, that is, hours of informal care. RESULTS: The number of hours of informal care increased as patients approached death. Home-based nursing care complemented, and hence, increased the provision of informal care. Patients living alone and caregivers who were employed were associated with the provision of fewer hours of informal care. Spousal caregivers provided more hours of informal care. Patient's age, sex, and marital status, and caregiver's age, sex, marital status, and education were associated with the number of hours of informal care. CONCLUSIONS: The intensity of informal care was determined by predisposing, enabling, and needs-based factors. This study provides a reference for the planning and targeting of supports for the provision of informal care.

Congruence between Preferred and Actual Place of Death for Those in Receipt of Home-Based Palliative Care.

Background: Understanding the factors that affect the congruence between preferred and actual place of death may help providers offer clients customized end-of-life care settings. Little is known about this congruence for cancer patients in receipt of home-based palliative care. Objectives: This study aims to determine the congruence between preferred and actual place of death among cancer patients in home-based palliative care programs. Design: A longitudinal prospective cohort study was conducted. Congruence between preferred and actual place of death was measured. Both univariate and multivariate analyses were used to assess the determinants of achieving a preferred place of death. From July 2010 to August 2012, a total of 290 caregivers were interviewed biweekly over the course of their palliative care trajectory from entry to the program and death. Results: The overall congruence between preferred and actual place of death was 71.72%. Home was the most preferred place of death. The intensity of home-based nursing visits and hours of care from personal support workers (PSWs) increased the likelihood of achieving death in a preferred setting. Conclusions: The provision of care by home-based nurse visits and PSWs contributed to achieving a greater congruence between preferred and actual place of death. This finding highlights the importance of formal care providers in signaling and executing the preferences of clients in receipt of home-based palliative care.

Where Do Cancer Patients in Receipt of Home-Based Palliative Care Prefer to Die and What Are the Determinants of a Preference for a Home Death?

Understanding the preferred place of death may assist to organize and deliver palliative health care services. The study aims to assess preference for place of death among cancer patients in receipt of home-based palliative care, and to determine the variables that affect their preference for a home death. A prospective cohort design was carried out from July 2010 to August 2012. Over the course of their palliative care trajectory, a total of 303 family caregivers of cancer patients were interviewed. Multivariate regression analysis was employed to assess the determinants of a preferred home death. The majority (65%) of patients had a preference of home death. The intensity of home-based physician visits and home-based personal support worker (PSW) care promotes a preference for a home death. Married patients, patients receiving post-graduate education and patients with higher Palliative Performance Scale (PPS) scores were more likely to have a preference of home death. Patients reduced the likelihood of preferring a home death when their family caregiver had high burden. This study suggests that the majority of cancer patients have a preference of home death. Health mangers and policy makers have the potential to develop policies that facilitate those preferences.

Psychological Mechanisms Linking County-Level Income Inequality to Happiness in China.

Background In China, income levels and living standards have improved significantly, but many Chinese citizens still do not feel any happier. This phenomenon may be attributed to increased income inequality. Methods Using data from the 2013 Chinese General Social Survey (CGSS), we employed multilevel structural equation modeling (MSEM) to investigate the impact of county-level income inequality on individual-level happiness in China and multilevel mediation analysis with structural equation modeling (MMSEM) to explore the mechanisms through which income inequality impacted happiness. Results A negative relationship between income inequality and happiness was found. The negative association between them was explained by two psychological mechanisms, i.e., fairness and trust. The findings explained a "Chinese puzzle," i.e., why people do not feel happier despite improved income and living standards. Conclusions Our findings may provide a reference for policy makers to implement policies designed to improve individual happiness. What is important now is to reduce income inequality, and to potentially improve perceptions of fairness and trust in China.

Correlation of Palliative Performance Scale and Survival in Patients With Cancer Receiving Home-Based Palliative Care.

The main objective of this study was to examine whether and how the Palliative Performance Scale (PPS), a measure of a patient's function, was predictive of survival time for those in receipt of home-based palliative care. This was a prospective study, which included 194 cancer patients from November 17, 2013, to August 18, 2015. Data were collected from biweekly telephone interviews with caregivers. Kaplan-Meier survival curves were estimated to assess how survival time was correlated with initial PPS scores after admission to the home-based palliative care program. A multivariate extended Cox regression model was used to examine the association between PPS and survival. The results showed that patients with higher PPS scores, that is, better function, had a lower hazard ratio (0.977; 95% confidence interval: 0.965-0.989) and hence longer survival times. The PPS can be used in predicting survival time for home-based palliative care patients.

Socioeconomic Differences and Trends in the Place of Death among Elderly People in China.

China is facing a dramatic aging of its population. Little is known about the factors that influence the place of death and the trends in the place of death for elderly people in China. The purposes of this study were: (1) to examine the impact of the socioeconomic status (SES) on place of death for elderly Chinese residents; and (2) to assess temporal trends in the place of death over the last 15 years. Data were derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) (1998-2012). Place-of-death as an outcome was dichotomized into either death at home or death outside the home. Logistic regression analyses were used to examine the impact of SES on place of death. The results showed that, of the 23,098 deaths during the study period, 87.78% occurred at home. The overall trend in home death has increased since 2005. SES was shown to be an important factor affecting place of death. The elderly with higher SES were more likely to die where health resources were concentrated, i.e., in a hospital or other type of institution. Our finding suggests that the trend towards a greater emphasis on death at home may call for the development of more supportive home care programs in China. Our finding also suggests that the socioeconomic differences in the place of death may be related to the availability of or access to health care services.

A study on satisfaction with publicly financed health services in China.

BACKGROUND: With implementation of Chinese universal healthcare, the performance of urban and rural residents' healthcare and the degree of satisfaction with publicly financed health services have become a hot issue in assessing health reforms in China. An evaluation model of health services in community and evaluation indexes of health-system performance have been put forward in related researches. This study examines variation in satisfaction with publicly financed health services among urban and rural residents in five Chinese cities and assesses their determinants. METHODS: The data are derived from a survey of 1198 urban and rural residents from five nationally representative regions concerning their perceptions of satisfaction with China's publicly financed health services. The respondents assessed their degree of satisfaction with publicly financed health services on a 5-point Likert scale. It is a kind of questionaire scale that features the answers for 1-5 points labeled very unsatisfied, unsatisfied, neither unsatisfied nor satisfied, satisfied and very satisfied linking to each factor or variable, where a score of 1 reflects the lowest degree of satisfaction and a score of 5 represents the highest degree. The logistic regression methods are used to identify the variables into its determining components. RESULTS: The overall satisfaction degree representing satisfaction of all factors (variables) is 3.02, which is at the middle level of a 1-5 Likert scale, inferring respondents' neutral attitude to publicly financed health services. According to the correlation test, the factors with characteristic root greater than 0.5 are chosen to take the factor analysis and 12 extracted factors can explain 77.97% of original 18 variables' total variance. Regression analysis based on the survey data finds that health records, vaccinations, pediatric care, elder care, and mental health management are the main factors accounting for degree of satisfaction with publicly financed health services for both urban and rural residents. CONCLUSIONS: What can be done to increase the degree of satisfaction with health services needs to be considered based on our findings. Regression analysis based on the survey data finds that health records, vaccinations, pediatric care, elder care, and mental health management are the main factors accounting for degree of satisfaction with publicly financed health services for both urban and rural residents. Therefore, with improvements in health records, timely vaccination, elder care for women or elder, pediatric care and major psychosis management, degree of satisfaction with publicly financed health services are likely to grow.

A study on the equality and benefit of China's national health care system.

BACKGROUND: This study is designed to evaluate whether the benefit which the residents received from the national health care system is equal in China. The perceived equality and benefit are used to measure the personal status of health care system, health status. This study examines variations in perceived equality and benefit of the national health care system between urban and rural residents from five cities of China and assessed their determinants. METHODS: One thousand one hundred ninty eight residents were selected from a random survey among five nationally representative cities. The research characterizes perceptions into four population groupings based on a binary assessment of survey scores: high equality & high benefit; low equality & low benefit; high equality & low benefit; and low equality & high benefit. RESULTS: The distribution of the four groups above is 30.4%, 43.0%, 4.6% and 22.0%, respectively. Meanwhile, the type of health insurance, educational background, occupation, geographic regions, changes in health status and other factors have significant impacts on perceived equality and benefit derived from the health care system. CONCLUSION: The findings demonstrate wide variations in perceptions of equality and benefit between urban and rural residents and across population characteristics, leading to a perceived lack of fairness in benefits and accessibility. Opportunities exist for policy interventions that are targeted to eliminate perceived differences and promote greater equality in access to health care.

Socioeconomic Differences in and Predictors of Home-Based Palliative Care Health Service Use in Ontario, Canada.

The use of health services may vary across people with different socioeconomic statuses, and may be determined by many factors. The purposes of this study were (i) to examine the socioeconomic differences in the propensity and intensity of use for three main home-based health services, that is, home-based palliative care physician visits, nurse visits and personal support worker (PSW) hours; and (ii) to explore the determinants of the use of home-based palliative care services. A prospective cohort study was employed. A total of 181 caregivers were interviewed biweekly over the course of the palliative care trajectory, yielding a total of 994 interviews. The propensity and intensity of health service use were examined using logistic regression and negative binomial regression, respectively. The results demonstrated that both the propensity and intensity of home-based nurse and PSW visits fell with socioeconomic status. The use of home-based palliative care services was not concentrated in high socioeconomic status groups. The common predictors of health service use in the three service categories were patient age, the Palliative Performance Scale (PPS) score and place of death. These findings may assist health service planners in the appropriate allocation of resources and service packages to meet the complex needs of palliative care populations.

Decomposing the causes of socioeconomic-related health inequality among urban and rural populations in China: a new decomposition approach.

BACKGROUND: In recent decades, China has experienced tremendous economic growth and also witnessed growing socioeconomic-related health inequality. The study aims to explore the potential causes of socioeconomic-related health inequality in urban and rural areas of China over the past two decades. METHODS: This study used six waves of the China Health and Nutrition Survey (CHNS) from 1991 to 2006. The recentered influence function (RIF) regression decomposition method was employed to decompose socioeconomic-related health inequality in China. Health status was derived from self-rated health (SRH) scores. The analyses were conducted on urban and rural samples separately. RESULTS: We found that the average level of health status declined from 1989 to 2006 for both urban and rural populations. Average health scores were greater for the rural population compared with those for the urban population. We also found that there exists pro-rich health inequality in China. While income and secondary education were the main factors to reduce health inequality, older people, unhealthy lifestyles and a poor home environment increased inequality. Health insurance had the opposite effects on health inequality for urban and rural populations, resulting in lower inequality for urban populations and higher inequality for their rural counterparts. CONCLUSION: These findings suggest that an effective way to reduce socioeconomic-related health inequality is not only to increase income and improve access to health care services, but also to focus on improvements in the lifestyles and the home environment. Specifically, for rural populations, it is particularly important to improve the design of health insurance and implement a more comprehensive insurance package that can effectively target the rural poor. Moreover, it is necessary to comprehensively promote the flush toilets and tap water in rural areas. For urban populations, in addition to promoting universal secondary education, healthy lifestyles should be promoted, including measures such as alcohol control.

Determinants of and socio-economic disparities in self-rated health in China.

BACKGROUND: Self-rated health (SRH) is not only used to measure health status and health inequalities, but also as a strong predictor of morbidity and mortality. The purpose of this study was to: 1) evaluate the factors that account for variations in self-rated health among Chinese citizens; and to 2) explore the process through which socio-economic status may impact self-rated health. METHODS: Data were derived from the Chinese General Social Survey (CGSS) (2013). Determinants of self-rated health were analyzed along four main dimensions: demographic characteristics, socio-economic status, lifestyle, and psychosocial factors. Multivariate odds ratios for good self-rated health were calculated for different variables in order to analyze the determinants. Binary logistic regression analysis was performed to assess the extent to which lifestyle and psychosocial factors explained the association between socio-economic status and self-rated health. RESULTS: About 65% of the survey respondents reported good self-rated health. Women, the elderly, married or single respondents and residents of Western China were less likely to report good self-rated health. Respondents who were engaged in work, had higher household income, reported high social class and higher socio-economic status compared with peers were more likely to report good self-rated health. Normal weight and physically active respondents along with those reporting a happy life, no depression, and good relationships with families and friends were related to good self-rated health. We also found the effect of socio-economic status on self-rated health was partly explained by lifestyle and psychosocial factors. CONCLUSION: The present findings support the notion that both socio-economic status and lifestyle as well as psychosocial factors were related with good self-rated health. The interventions targeting these factors could improve the health status of the population. The depression was the most influential predictor of self-rated health, especially for the women and the elderly. Although lifestyle and psychosocial factors explained partly the the association between socio-economic status and health, the reason why socio-economic difference exists in health must be further explored. What's more, it needs to be further studied why the same determinant has different influence strengths on the health of different groups of people.