Pathways of Economic Inequalities in Maternal and Child Health in Urban India: A Decomposition Analysis

Background/Objective

Children and women comprise vulnerable populations in terms of health and are gravely affected by the impact of economic inequalities through multi-dimensional channels. Urban areas are believed to have better socioeconomic and maternal and child health indicators than rural areas. This perception leads to the implementation of health policies ignorant of intra-urban health inequalities. Therefore, the objective of this study is to explain the pathways of economic inequalities in maternal and child health indicators among the urban population of India.

Methods

Using data from the third wave of the National Family Health Survey (NFHS, 2005–06), this study calculated relative contribution of socioeconomic factors to inequalities in key maternal and child health indicators such as antenatal check-ups (ANCs), institutional deliveries, proportion of children with complete immunization, proportion of underweight children, and Infant Mortality Rate (IMR). Along with regular CI estimates, this study applied widely used regression-based Inequality Decomposition model proposed by Wagstaff and colleagues.

Results

The CI estimates show considerable economic inequalities in women with less than 3 ANCs (CI  = −0.3501), institutional delivery (CI  = −0.3214), children without fully immunization (CI  = −0.18340), underweight children (CI  = −0.19420), and infant deaths (CI  = −0.15596). Results of the decomposition model reveal that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical factors contributing to economic inequalities in maternal and child health indicators. The residuals in all the decomposition models are very less; this implies that the above mentioned factors explained maximum inequalities in maternal and child health of urban population in India.

Conclusion

Findings suggest that illiteracy among women and her partner, poor economic status, and mass media exposure are the critical pathways through which economic factors operate on inequalities in maternal and child health outcomes in urban India.     

Understanding Inequalities in Child Health in Ethiopia: Health Achievements Are Improving in the Period 2000–2011

Objective

In Ethiopia, coverage of key health services is low, and community based services have been implemented to improve access to key services. This study aims to describe and assess the level and the distribution of health outcomes and coverage for key services in Ethiopia, and their association with socioeconomic and geographic determinants.

Methods

Data were obtained from the 2000, 2005 and 2011 Ethiopian Demographic and Health Surveys. As indicators of access to health care, the following variables were included: Under-five and neonatal deaths, skilled birth attendance, coverage of vaccinations, oral rehydration therapy for diarrhoea, and antibiotics for suspected pneumonia. For each of the indicators in 2011, inequality was described by estimating their concentration index and a geographic Gini index. For further assessment of the inequalities, the concentration indices were decomposed. An index of health achievement, integrating mean coverage and the distribution of coverage, was estimated. Changes from 2000 to 2011 in coverage, inequality and health achievement were assessed.

Results

Significant pro-rich inequalities were found for all indicators except treatment for suspected pneumonia in 2011. The geographic Gini index showed significant regional inequality for most indicators. The decomposition of the 2011 concentration indices revealed that the factor contributing the most to the observed inequalities was different levels of wealth. The mean of all indicators improved from 2000 to 2011, and the health achievement index improved for most indicators. The socioeconomic inequalities seem to increase from 2000 to 2011 for under-five and neonatal deaths, whereas they are stable or decreasing for the other indicators.

Conclusion

There is an unequal socioeconomic and geographic distribution of health and access to key services in Ethiopia. Although the health achievement indices improved for most indicators from 2000 to 2011, socioeconomic determinants need to be addressed in order to achieve better and more fairly distributed health.     

Health,Health Inequality,and Cost Impacts of Annual Increases in Tobacco Tax: Multistate Life Table Modeling in New Zealand

BackgroundCountries are increasingly considering how to reduce or even end tobacco consumption, and raising tobacco taxes is a potential strategy to achieve these goals. We estimated the impacts on health, health inequalities, and health system costs of ongoing tobacco tax increases (10% annually from 2011 to 2031, compared to no tax increases from 2011 [“business as usual,” BAU]), in a country (New Zealand) with large ethnic inequalities in smoking-related and noncommunicable disease (NCD) burden.ConclusionsOngoing tobacco tax increases deliver sizeable health gains and health sector cost savings and are likely to reduce health inequalities. However, if policy makers are to achieve more rapid reductions in the NCD burden and health inequalities, they will also need to complement tobacco tax increases with additional tobacco control interventions focused on cessation.     

New Population and Life Expectancy Estimates for the Indigenous Population of Australia's Northern Territory, 1966–2011

Background

The Indigenous population of Australia suffers considerable disadvantage across a wide range of socio-economic indicators, and is therefore the focus of many policy initiatives attempting to ‘close the gap’ between Indigenous and non-Indigenous Australians. Unfortunately, past population estimates have proved unreliable as denominators for these indicators. The aim of the paper is to contribute more robust estimates for the Northern Territory Indigenous population for the period 1966–2011, and hence estimate one of the most important of socio-economic indicators, life expectancy at birth.

Method

A consistent time series of population estimates from 1966 to 2011, based off the more reliable 2011 official population estimates, was created by a mix of reverse and forward cohort survival. Adjustments were made to ensure sensible sex ratios and consistency with recent birth registrations. Standard life table methods were employed to estimate life expectancy. Drawing on an approach from probabilistic forecasting, confidence intervals surrounding population numbers and life expectancies were estimated.

Results

The Northern Territory Indigenous population in 1966 numbered between 23,800 and 26,100, compared to between 66,100 and 73,200 in 2011. In 1966–71 Indigenous life expectancy at birth lay between 49.1 and 56.9 years for males and between 49.7 and 57.9 years for females, whilst by 2006–11 it had increased to between 60.5 and 66.2 years for males and between 65.4 and 70.8 for females. Over the last 40 years the gap with all-Australian life expectancy has not narrowed, fluctuating at about 17 years for both males and females. Whilst considerable progress has been made in closing the gap in under-five mortality, at most other ages the mortality rate differential has increased.

Conclusions

A huge public health challenge remains. Efforts need to be redoubled to reduce the large gap in life expectancy between Indigenous and non-Indigenous Australians.     

Socio-Economic Disparities in Use of Family Planning Methods among Pakistani Women: Findings from Pakistan Demographic and Health Surveys

BackgroundSeveral developing countries like Pakistan step into Sustainable Development Goals period with crucial maternal and child health needs that need to be addressed for improving health outcomes among people. We aim to explore existent socio-economic disparities in use of family planning methods (FPM) among Pakistani women, and compare any such inequalities between the years 2006 and 2013.SettingPakistan Demographic and Health Surveys (PDHS) 2006–7 (n = 9177) and the most recent 2012–13(n = 13558) data were used to conduct secondary analysis. Participants were ever married women aged between 15 and 49 years. Socio-economic status was assessed by the education level and wealth index. Inequalities were measured through Odds Ratio (OR), Relative Index of inequality (RII), and Slope index of inequality (SII) on non-use of FPM.ResultsAlthough the prevalence of FPM use has increased over time (28% in 2006 versus 54% in 2013), the socio-economic inequalities persistently exist. Comparing results of PDHS 2006 with PDHS 2013, education related absolute inequalities among urban dwellers increased from -0.41 (95% CI -0.67, -0.13, p-value < 0.01) to -0.83 (95% CI -1.02, -0.63, p-value < 0.01); and increased from -0.93 (95% CI -1.21, -0.64, p-value < 0.01) to -0.98 (95% CI -1.20, -0.76, p-value < 0.01) among rural dwellers. Similarly wealth related absolute inequalities are also existent.ConclusionsAlthough the FPM use has increased over time, but it is important to note that socio-economic gap in use of FPM persists. Such differences have disadvantaged the poor and the illiterate. Family planning programs may target the disadvantaged subgroups for ensuring well-being of women and children in Pakistan.     

Socioeconomic inequalities in health in The Netherlands: impact of a five year research programme.

The attention paid to the socioeconomic inequalities in health in the Netherlands has increased greatly in recent years. A national research programme was started in 1989, and among other things, this has increased the yearly number of publications on socioeconomic inequalities in health by about 25%. The programme has increased awareness of inequalities among researchers and policy makers as well as improved the information available on health inequalities and the reasons for them. Cross party agreement on the need to reduce these inequalities has led to a consensus based approach which contrasts with the heavily politicised debate in countries such as the United Kingdom.     

Time Trends and Inequalities of Under-Five Mortality in Nepal: A Secondary Data Analysis of Four Demographic and Health Surveys between 1996 and 2011

Background

Inequalities in progress towards achievement of Millennium Development Goal four (MDG-4) reflect unequal access to child health services.

Objective

To examine the time trends, socio-economic and regional inequalities of under-five mortality rate (U5MR) in Nepal.

Methods

We analyzed the data from complete birth histories of four Nepal Demographic and Health Surveys (NDHS) done in the years 1996, 2001, 2006 and 2011. For each livebirth, we computed survival period from birth until either fifth birthday or the survey date. Using direct methods i.e. by constructing life tables, we calculated yearly U5MRs from 1991 to 2010. Projections were made for the years 2011 to 2015. For each NDHS, U5MRs were calculated according to child''s sex, mother’s education, household wealth index, rural/urban residence, development regions and ecological zones. Inequalities were calculated as rate difference, rate ratio, population attributable risk and hazard ratio.

Results

Yearly U5MR (per 1000 live births) had decreased from 157.3 (95% CIs 178.0-138.9) in 1991 to 43.2 (95% CIs 59.1-31.5) in 2010 i.e. 114.1 reduction in absolute risk. Projected U5MR for the year 2015 was 54.33. U5MRs had decreased in absolute terms in all sub groups but relative inequalities had reduced for gender and rural/urban residence only. Wide inequalities existed by wealth and education and increased between 1996 and 2011. For lowest wealth quintile (as compared to highest quintile) hazard ratio (HR) increased from 1.37 (95% CIs 1.27, 1.49) to 2.54 ( 95% CIs 2.25, 2.86) and for mothers having no education (as compared to higher education) HR increased from 2.55 (95% CIs 1.95, 3.33) to 3.75 (95% CIs 3.17, 4.44). Changes in regional inequities were marginal and irregular.

Conclusions

Nepal is most likely to achieve MDG-4 but eductional and wealth inequalities may widen further. National health policies should address to reduce inequalities in U5MR through ‘inclusive policies''.     

A Systematic Literature Review of Studies Analyzing Inequalities in Health Expectancy among the Older Population

Aim

To collect, organize and appraise evidence of socioeconomic and demographic inequalities in health and mortality among the older population using a summary measure of population health: Health Expectancy.

Methods

A systematic literature review was conducted. Literature published in English before November 2014 was searched via two possible sources: three electronic databases (Web of Science, Medline and Embase), and references in selected articles. The search was developed combining terms referring to outcome, exposure and participants, consisting in health expectancy, socioeconomic and demographic groups, and older population, respectively.

Results

Of 256 references identified, 90 met the inclusion criteria. Six references were added after searching reference lists of included articles. Thirty-three studies were focused only on gender-based inequalities; the remaining sixty-three considered gender along with other exposures. Findings were organized according to two leading perspectives: the type of inequalities considered and the health indicators chosen to measure health expectancy. Evidence of gender-based differentials and a socioeconomic gradient were found in all studies. A remarkable heterogeneity in the choice of health indicators used to compute health expectancy emerged as well as a non-uniform way of defining same health conditions.

Conclusions

Health expectancy is a useful and convenient measure to monitor and assess the quality of ageing and compare different groups and populations. This review showed a general agreement of results obtained in different studies with regard to the existence of inequalities associated with several factors, such as gender, education, behaviors, and race. However, the lack of a standardized definition of health expectancy limits its comparability across studies. The need of conceiving health expectancy as a comparable and repeatable measure was highlighted as fundamental to make it an informative instrument for policy makers.     

Location Matters: Trends in Inequalities in Child Mortality in Indonesia. Evidence from Repeated Cross-Sectional Surveys

Background

Considerable improvements in life expectancy and other human development indicators in Indonesia are thought to mask considerable disparities between populations in the country. We examine the existence and extent of these disparities by measuring trends and inequalities in the under-five mortality rate and neonatal mortality rate across wealth, education and geography.

Methodology

Using data from seven waves of the Indonesian Demographic and Health Surveys, direct estimates of under-five and neonatal mortality rates were generated for 1980–2011. Absolute and relative inequalities were measured by rate differences and ratios, and where possible, slope and relative indices of inequality. Disparities were assessed by levels of rural/urban location, island groups, maternal education and household wealth.

Findings

Declines in national rates of under-five and neonatal mortality have accorded with reductions of absolute inequalities in clusters stratified by wealth, maternal education and rural/urban location. Across these groups, relative inequalities have generally stabilised, with possible increases with respect to mortality across wealth subpopulations. Both relative and absolute inequalities in rates of under-five and neonatal mortality stratified by island divisions have widened.

Conclusion

Indonesia has made considerable gains in reducing under-five and neonatal mortality at a national level, with the largest reductions happening before the Asian financial crisis (1997–98) and decentralisation (2000). Hasty implementation of decentralisation reforms may have contributed to a slowdown in mortality rate reduction thereafter. Widening inequities between the most developed provinces of Java-Bali and those of other island groupings should be of particular concern for a country embarking on an ambitious plan for universal health coverage by 2019. A focus on addressing the key supply side barriers to accessing health care and on the social determinants of health in remote and disadvantaged regions will be essential for this plan to be realised.     

Infant mortality in Armenia, 1992–2003

Health system reforms have been taken in Armenia during a time of dramatic economic and fiscal distress. It is important to assess trends in health indicators and ascertain if the changes in socio-economic systems affected the health status of infants as the most vulnerable part of the population. We find that infant mortality has fallen during the period c. 1992-2003 in spite of the difficult economic circumstances because of health-care procedures that were introduced. Particular attention is paid to the underreporting of infants' death cases in the state registration system as well as to estimating the role of different factors influencing infant mortality in Armenia.     

Ethnic differentials in early childhood mortality in Nepal

This paper investigates the association of early childhood mortality (between birth and second birthday) with ethnicity in Nepal, based on data from the 1976 Nepal Fertility Survey, which was part of the World Fertility Survey. The approach is through a series of hazard models, which incorporate ethnicity, year of birth, mother's illiteracy, father's illiteracy, rural-urban residence, region, sex, maternal age, survival of previous birth, previous birth interval, and breast-feeding as covariates. Ethnic differentials in early childhood mortality are not explained by the other socioeconomic and demographic covariates, except for a modest effect of illiteracy, but the remaining covariates explain a great deal of variability in early childhood mortality itself. Analysis using an improved specification of breast-feeding as an age-varying covariate indicates, on average, that breast-feeding, relative to not breast-feeding, reduces age-specific mortality risks during the first 2 years of life by 76%, a very large effect.     

Human mobility and population health. New approaches in a globalizing world

The globalization of economies in the last 25 years has greatly increased both the number of people on the move and the rapidity of their movement, and has brought attention to global disparities in health determinants and to the health of migrant populations themselves. Differences in epidemiological disease risk (prevalence gaps) may have negative, neutral, or positive health consequences for the migrant or receiving population. Population mobility represents a growing challenge to the development of public health programs and legislative policies to prevent the importation of disease, and to promote and protect the health of migrants and the local, receiving population. The inability to detect and contain imported disease threats at national borders requires a shift in immigration, quarantine, and public health approaches to health and mobile populations. A new paradigm is needed to facilitate the development of policies and programs to address the health consequences of population mobility.     

Teaching global bioethics

We live in a world with enormous disparities in health. The life expectancy in Japan is 80 years; in Malawi, 40 years. The under-five mortality in Norway is 4/1000; in Sierra Leone, 316/1000. The situation is actually worse than these figures suggest because average rates tend to mask inequalities within a country. Several presidents of the IAB have urged bioethicists to attend to global disparities and to broaden the scope of bioethics. For the last six years I have tried to do just that. In this paper, I report and reflect on my attempts to teach bioethics in ways that address global health and justice. I then discuss ways to address key ethical issues in global health: the problem of inequalities; the nature of the duty to assist; the importance of the duty not to harm; the difference between a cosmopolitan and a political view of justice. I also discuss how teaching about global health may help to shift the emphasis in bioethics--from sensational cases to everyday matters, from autonomy and justice, and from access to healthcare to the social determinants of health. At the end of my paper, I reflect on questions that I have not resolved: how to delineate the scope of bioethics, whether my approach over-politicises bioethics, and how to understand the responsibilities of bioethicists.     

The Jewish–Arab divide in life expectancy in Israel

Life expectancy at birth in Israel in 2001 was 77.7 years for males and 81.6 years for females among Jews, and 74.5 and 77.8 years for males and females, respectively, among Israeli Arabs. In spite of vast improvements in health conditions of the two populations since Israel's statehood in 1948, persistent disparities in life expectancy between the two groups have challenged the Israeli socialized health care system. These disparities are influenced primarily by differences between the two population groups in infant and child mortality rates. This early study suggests that the distribution of life expectancy across localities in Israel reflects the distribution of those localities' socio-economic condition index (not including health and medical care), and the distribution of medical services. The positive association between life expectancy and the index is pronounced, however, only within the Jewish population but not among Arabs. While there may be no significant difference in life expectancy among Jews and Arabs living in poorer communities, there are fewer Arabs living in relatively affluent communities. Thus, persistent higher concentration of poverty among Arabs than among Jews has sufficed to maintain the gap in life expectancy between them. In addition, however, there are population-specific effects: wealth and education are more protective among Jews than among Arabs, while medical services are more protective among Arabs.     

The impact of rural-urban migration on under-two mortality in India

This paper examines the impact of rural-urban migration on under-two mortality in India, using data from the 1992/93 Indian National Family Health Survey. Multilevel logistic models are fitted for mortality in three age groups: neonatal, early post-neonatal, and late post-neonatal and toddler. Migration status was not a significant determinant of mortality in any of the three age groups. Further analysis shows that a relationship between migration status and mortality exists when socioeconomic and health utilization variables are omitted from the models. The relationship between migration and mortality is thus explained by differences in socioeconomic status and use of health services between rural-urban migrant and nonmigrant groups. The selectivity of rural-urban migrants on socioeconomic characteristics creates mortality differentials between rural-urban migrants and rural non-migrants. Problems faced by migrants in assimilating into urban societies create mortality differentials between rural-urban migrants and urban non-migrants. These results highlight the need to target migrants in the provision of health services, and demonstrate that rural areas continue to have the highest levels of infant-child mortality. Further research is needed to understand the health care needs of rural-urban migrants in order to inform the provision of appropriate health care.     

Are There Ethnic Inequalities in Revascularisation Procedure Rate after an ST-Elevation Myocardial Infarction?

Background

Previously, ethnic inequalities in prognosis after a first acute myocardial infarction were observed in the Netherlands. This might be due to differences in revascularisation rate between ethnic minority groups and ethnic Dutch. Therefore, we investigated inequalities in revascularisation rate after occurrence of an ST-elevation myocardial infarction (STEMI) between first generation ethnic minority groups (henceforth, migrants) and ethnic Dutch.

Methods

All STEMI events between 2006 and 2011 were identified in a subset of the Achmea Health Database, which records medical care to persons insured at the Achmea health insurance company, a major health insurance company in the central part of the Netherlands. Ethnic Dutch and migrants from Suriname (Hindustani Surinamese and non-Hindustani Surinamese), Morocco, and Turkey were included (n = 1,765). Multivariable Cox proportional hazards regression analyses were used to identify ethnic inequalities in revascularisation rate (percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG)) after a STEMI event.

Results

On average, 73.2% of STEMI events were followed by a revascularisation procedure. After adjustment for confounders (age, sex, degree of urbanization) no significant differences in revascularisation rate were found between the ethnic Dutch population and Hindustani Surinamese (HR: 1.04; 0.85–1.27), non-Hindustani Surinamese (HR: 0.98; 0.63–1.51), Moroccan (HR: 0.94; 0.77–1.14), and Turkish migrants (HR: 1.04; 0.88–1.24). Additional adjustment for comorbidity and neighborhood income did not change our findings.

Conclusion

Our study suggests no ethnic inequalities in revascularisation rate after a STEMI event. This finding is in agreement with the universally accessible health care system in the Netherlands.     

Insulin dependent diabetes in children under 5: incidence and ascertainment validation for 1992.

OBJECTIVE--To establish the incidence of insulin dependent diabetes diagnosed in children under 5 years of age in the British Isles during 1992, comparing the national and regional results with those of our 1988 national study, and estimating the 1992 study''s level of case ascertainment. DESIGN--Active monthly reporting of cases by consultant paediatricians through the framework of the British Paediatric Surveillance Unit, with additional reports from specialist diabetes nurses and regional health authorities. SUBJECTS--All children diagnosed under the age of 5 years with primary insulin dependent diabetes from 1 January to 31 December 1992 (inclusive) and resident in the British Isles at diagnosis. RESULTS--387 children (208 boys and 179 girls) were confirmed to have insulin dependent diabetes, giving a national incidence of 9.3/100,000/year. This is similar to the 9.9/100,000/year found in 1988. Three sample capture-recapture analysis, which could only be applied across the 12 (out of 18) regions supplying regional information to the study, suggested ascertainment rates of 78% for the British Paediatric Surveillance Unit, 67% for specialist nurses, 69% for regional health authorities, and 99% for the aggregated registry. CONCLUSIONS--The national incidence of diabetes in the under 5s in the British Isles did not differ between 1988 and 1992. Nearly complete (99%) ascertainment of cases was possible only for regions for which three data sources were available. Capture-recapture analysis highlighted both the need for more than one data source and for each data source to be complete for the whole study area.     

Socioeconomic Differentials in Smoking Duration among Adult Male Smokers in China: Result from the 2006 China Health and Nutrition Survey

Background

A smoker’s risk of diseases and death from smoking is closely related to his/her smoking duration. But little is known about the average length of smoking and the association between smoking duration and socio-economic status (SES) among Chinese smokers.

Methods

A sample of male ever smokers (N = 2,637) aged 18+ years was drawn from the 2006 China Health and Nutrition Survey to examine the average length of smoking and socioeconomic differentials in smoking duration. Kaplan-Meier analysis was used to obtain median smoking duration. Log-logistic regression models were employed to estimate the relative duration of smoking, adjusted for demographic characteristics, smoking history, and health status.

Results

Results showed that Chinese male ever smokers aged 18 years and older had a median duration of smoking of 58 years (95% CI: 56–61). Male ever smokers with a lower status job (i.e. farmers, manual and skilled workers, service workers, and office staff) had a significantly longer duration of smoking than those with a professional or administrative job after adjusted for demographic characteristics, smoking history, and health status. Individuals who earned the lowest income and who had no education or were being illiterate smoked for 11% and 14% longer, respectively, relative to those who had the highest income or who had college or above education.

Conclusion

The findings demonstrated the problem of long smoking duration and a pattern of social disparities in smoking duration among Chinese male smokers. Social disparities in smoking behavior may exacerbate the already existing social inequalities in health. Thus, policies and interventions to promote smoking cessation should pay more attention to disadvantaged social groups.     

Association between disparities in intergenerational economic mobility and cause-specific mortality among Black and White persons in the United States

BackgroundEvidence about the association between structural racism and mortality in the United States is limited. We examined the association between ongoing structural racism, measured as inequalities in adulthood income between White and Black children with similar parental household income (economic mobility gap) in a recent birth cohort, and Black-White disparities in death rates (mortality gap) overall and for major causes.MethodsSex-, race/ethnicity-, and county-specific data were used to examine sex-specific associations between economic mobility and mortality gaps for all causes combined, heart diseases, cerebrovascular diseases, chronic obstructive pulmonary disease (COPD), injury/violence, all malignant cancers, and 14 cancer types. Economic mobility data for 1978–1983 birth cohorts and death rates during 2011–2018 were obtained from the Opportunity Atlas and National Center for Health Statistics, respectively. Data from 471 counties were included in analyses of all-cause mortality at ages 30−39 years during 2011–2018 (corresponding to partially overlapping 1978–1983 birth cohorts); and from 1,572 and 1,248 counties in analyses of all-cause and cause-specific mortality in all ages combined, respectively.ResultsIn ages 30−39 years, a one percentile increase in the economic mobility gap was associated with a 6.8 % (95 % confidence interval 1.8 %–11.8 %) increase in the Black-White mortality gap among males and a 13.5 % (8.9 %–18.1 %) increase among females, based on data from 471 counties. In all ages combined, the corresponding percentages based on data from 1,572 counties were 10.2 % (7.2 %–13.2 %) among males and 14.8 % (11.4 %–18.2 %) among females, equivalent to an increase of 18.4 and 14.0 deaths per 100,000 in the mortality gap, respectively. Similarly, strong associations between economic mobility gap and mortality gap in all ages were found for major causes of death, notably for potentially preventable conditions, including COPD, injury/violence, and cancers of the lung, liver, and cervix.ConclusionsEconomic mobility gap conditional on parental income in a recent birth cohort as a marker of ongoing structural racism is strongly associated with Black-White disparities in all-cause mortality and mortality from several causes.     

Trend of Urban-Rural Disparities in Hospital Admissions and Medical Expenditure in China from 2003 to 2011

Objectives

To assess the trend of urban-rural disparities in hospital admissions and medical expenditure between 2003 and 2011 in the context of Chinese health-care system reform.

Methods

The data were from three different national surveys: the Third National Health Services Survey in 2003, the Fourth National Health Services Survey in 2008 and the national health-care reform phased assessment survey in 2011. There were 151421, 143380 and 48356 respondents aged 15 years or older in 2003, 2008 and 2011, respectively.

Results

The health insurance coverage expanded considerably from 27.7% in 2003 to 96.4% in 2011 among respondents aged 15 years or older. Hospitalization rate increased rapidly from 4.1% in 2003 to 9.6% in 2011. Urban respondents had higher hospital admissions than rural respondents, and the RR (95% CI) of hospitalization was 1.23 (1.17–1.30), 1.06 (1.02–1.10) and 1.16 (1.10–1.23) in 2003, 2008 and 2011, respectively. The urban-rural disparity in hospital admissions significantly narrowed over time. Urban respondents had a higher admission rate if insured and a lower admission if not insured than their rural counterparts. Of the six medical expenditure measures, the disparities in reimbursement rate and the proportion of hospitalization direct cost to the total consumer spending significantly narrowed.

Conclusions

The health insurance coverage has been continually expanding and health service utilization has been substantially improved. Urban-rural disparities have been narrowed but still exist. Therefore, policy-makers should focus on increasing investment and reimbursement levels, developing a uniform standard health insurance system for urban and rural residents and improving the medical assistance system.