Decomposition Of Concentration Index Research Articles

Inequity in antenatal care quality in Zimbabwe: The role of women’s empowerment

ABSTRACT The health systems fail to provide quality antenatal health services to vulnerable and marginalised pregnant women regardless of their effectiveness in reducing maternal and neonatal mortality. Despite the importance of antenatal care quality during pregnancy, less is known regarding its inequality in developing countries. This paper aims to determine the inequality in antenatal care quality in Zimbabwe and the contribution of women’s empowerment. The paper used the 2010/11 and the 2015 Demographic Health Survey data and concentration index and Shapley decomposition. We found that antenatal care quality was pro-rich for blood sample tests, urine sample tests, blood pressure tests, and iron tablets except for tetanus injections, thus the affluent benefit more from better antenatal care quality than the poor. Women’s empowerment had a major contribution to inequality in antenatal care quality. Given the paramount importance of antenatal care in improving maternal, birth, and child outcomes, policymakers should consider policies that enhance the women’s empowerment and quality of antenatal care services in Zimbabwe, which in turn enhance the attainment of Sustainable Development Goals.

Explaining the rise of economic and rural-urban inequality in clean cooking fuel use in Tanzania

Despite the high rate of economic growth and electrification in the last two decades in Tanzania, only 6.9 % of the nation's households have access to clean cooking fuel technology which is concentrated among the rich urban households. Analysing data from two waves of the Tanzania National Panel Survey (2014/15 and 2020/21), we estimate the economic and rural-urban inequalities in the use of clean cooking fuel. Using the concentration curve, Erreygers concentration index and non-linear Fairlie decomposition, we find an increase in economic inequality and rural-urban inequality in the use of clean cooking fuel. Based on our analysis, factors such as the household head's education, household economic status and household connection to electricity contribute to the rural-urban inequality in the use of clean cooking fuel. Policy changes are vital for ensuring both rural and urban households have equitable access to education, electricity connection and household economic status to address inequality in the use of clean cooking fuel.

Factors Explaining the Change in Socioeconomic Inequality of Disability in Iran: A Repeated Cross-sectional Study.

More than 15% of the world's population live with some form of disability. Assessing socioeconomic inequalities in disability and monitoring its change over time can help policymakers to design and implement targeted interventions to reduce these inequalities. This study aimed to assess the change in socioeconomic inequality in disability in Iran from 2000 to 2010. Data for this cross-sectional study were obtained from 2 waves of Iran's demographic and health surveys (2000 and 2010). The Wagstaff normalized concentration index was used to measure the socioeconomic inequality of disability. Contributing factors to the inequality in 2000 and 2010 were investigated by concentration index decomposition. The Blinder-Oaxaca decomposition method was used to determine contributing factors of change in disability inequality. All analyses were conducted in Stata14. The negative and statistically significant concentration indices (-0.132 in 2000 and -0.165 in 2010, P < 0.001) suggested more concentration of disability among poor people. The absolute value of inequality was increased by 0.034 between the 2 points of time (P = 0.025). Level of education (123.5%), household size (12.9%), age (-35.1%), and residency (in terms of Iran's provinces) (-19.3%) were the contributing factors to the measured disability inequality in 2000. In 2010, level of education (105.8%), household size (30.5%), and urban residency (-46.3%) explained the measured inequality. Change in disability inequality was explained by household size (99.4%), province of residence (54.8%), education (36.9%), socioeconomic status (20%), urban residency (-90.3%), and age (-47.7%). Iran suffers from significant socioeconomic inequality in disability, and it significantly increased over time. Interventions such as increasing health literacy and providing suitable job opportunities for people with low education level, improving the socioeconomic status of extended households, and paying more attention to the balanced development in the provinces and urban and rural areas, and attending to prevention, treatment, and mitigation of disability adversities among poor young and elderly people could be recommended to tackle increased socioeconomic inequality in disability and its unfavorable consequences in Iran.

Examining the potential impacts of intensive blood pressure treatment on the socioeconomic inequity in hypertension prevalence in China: a nationally representative cross-sectional study.

Few studies focused on the equity of hypertension prevalence before and after the diagnostic threshold change. The study aimed to analyze the 130/80 mmHg hypertension diagnostic threshold on the equity of hypertension prevalence in China. The baseline survey data from the China Health and Retirement Longitudinal Study (CHARLS) conducted from 2011 to 2012 were utilized to evaluate the impact of the 130/80 mmHg diagnostic threshold on the equity of hypertension prevalence in China using the concentration index and its decomposition which was an index reflecting the health inequality caused by social and economic factors. The prevalence of hypertension was 41.56% and 57.33% under the diagnostic thresholds of 140/90 mmHg and 130/80 mmHg, respectively. The concentration index for hypertension prevalence in China was -0.017 (95%CI: -0.028, -0.006) under the 140/90 mmHg threshold and -0.010 (95%CI: -0.018, -0.002) under the 130/80 mmHg threshold. Concentration index decomposition analysis of hypertension prevalence diagnosed at both diagnostic thresholds showed that age, BMI, and economic status contributed more to the inequitable situation of hypertension prevalence. Higher age, higher BMI, and poorer economic status increased the inequity of hypertension prevalence. No significant difference in the increase in hypertension among individuals of different economic status after implementing the blood pressure control standard (130/80 mmHg), and the prevalence of hypertension in the region did not show a significant bias towards the low economic status population. Therefore, implementing this standard will not increase the risk of hypertension prevalence biased toward people of low economic status. Implementing the 130/80 mmHg diagnostic threshold will not increase the risk of hypertension prevalence biased towards people of low economic status.

Factors contributing to socio-economic inequality in utilization of caesarean section delivery among women in Indonesia: Evidence from Demographic and Health Survey.

Most of the existing literature in developing countries focused on either the rising trend of CS or its determinants. There is a paucity of population-based studies on existing socioeconomic inequalities in availing CS services by women in Indonesia. This study aimed to assess the factors associated with caesarian section (CS) delivery and explore the various factors contributing to inequalities in CS delivery rates in Indonesia. The study utilized nationally representative cross-sectional data from the Indonesia Demographic and Health Survey (IDHS), 2017. We conducted multivariable logistic regression to find the factors associated with CS delivery. Concentration index and Wagstaff's decomposition analysis were used to examine the socioeconomic inequalities in CS delivery among women and associated factors. About 17% of women in Indonesia delivered babies through CS. A concentration index of 0.31 in CS delivery rate showed a higher CS delivery rate among women belonging to rich households. About 44.7% of socioeconomic status inequality in CS delivery was explained by educational status among women who went for CS delivery. Women's place of residence explained 30.1% of socioeconomic inequality, and women's age at first birth explained about 11.9% and reporting ANC visits explained 8.4% of the observed inequality. Highest socioeconomic inequality was witnessed in central Sulawesi (0.529), followed by Maluku (0.488) and West Kalimantan (0.457), whereas the lowest was recorded in Yogyakarta (0.021) followed by north Sulawesi (0.047) and east Kalimantan (0.171). Education (44.7%) followed by rural-urban place of residence (30.1%) and age of first birth (11.9%) contributed most to explain the gap in CS delivery among rich and poor women. The study highlighted the higher CS delivery rates among women from higher socioeconomic groups and thus, it is important to frame policies after identifying the population subgroups with potential underuse or overuse of CS method of delivery.

Changes in Socioeconomic Inequalities in Unintended Pregnancies Among Currently Married Women in India.

Despite the consistent prevalence of unintended pregnancies in India and its adverse impact on maternal and neonatal mortality, the literature discussing socioeconomic inequality remains scarce. This study aims to assess the change in wealth-related inequalities in unintended pregnancy in India from 2005-2006 to 2019-20 and to quantify the contribution of various factors towards inequality. The present study analyzed cross-sectional data from the third and fifth rounds of the National Family Health Survey (NFHS). The information on fertility preferences and pregnancy intention of most recent live birth during the five years preceding the survey was collected from eligible women. The concentration index and Wagstaff decomposition were used to analyze wealth-related inequality and the contributing factors. Our results show that the prevalence of unintended pregnancy has declined in 2019-20 to 8% from 22% in 2005-2006. With the increase in education and wealth status, unintended pregnancy decreases significantly. The results of the concentration index depict that unintended pregnancy is more concentrated among the poor than the rich in India, and the individual's wealth status has the highest contribution to unintended pregnancy inequality. Other factors like mothers' BMI, place of residence and education also contribute majorly to the inequality. The study results are critical and increase the need for strategies and policies. Disadvantaged women need education and family planning information, plus access to reproductive health resources. Governments should improve accessibility and quality of care in family planning methods to prevent unsafe abortions, unwanted births, and miscarriages. Further research is needed to investigate the impact of social and economic status on unintended pregnancies.

Socioeconomic inequalities in employees' health-enhancing physical activity: Evidence from the SHAHWAR cohort study in Iran.

Increasing level of physical activity (PA) among working population is of particular importance, because of the high return of investment on employees' PA. This study was aimed to investigate socioeconomic inequalities in Health-Enhancing Physical Activity (HEPA) among employees of a Medical Sciences University in Iran. Data were extracted from the SHAHWAR Cohort study in Iran. Concentration index (C) and Wagstaff decomposition techniques were applied to determine socioeconomic inequality in the study outcomes and its contributors, respectively. Nearly half of the university employees (44.6%) had poor HEPA, and employees with high socioeconomic status (SES) suffered more from it (C = 0.109; 95% CI: 0.075, 0.143). Also, we found while poor work-related PA (C = 0.175; 95% CI: 0.142, 0.209) and poor transport-related PA (C = 0.081, 95% CI: 0.047, 0.115) were more concentrated among high-SES employees, low-SES employees more affected by the poor PA at leisure time (C = -0.180; 95% CI: -0.213, -0.146). Shift working, and having higher SES and subjective social status were the main factors that positively contributed to the measured inequality in employees' poor HEPA by 33%, 31.7%, and 29%, respectively, whereas, having a married life had a negative contribution of -39.1%. The measured inequality in poor leisure-time PA was mainly attributable to SES, having a married life, urban residency, and female gender by 58.1%, 32.5%, 28.5%, and -32.6%, respectively. SES, urban residency, shift working, and female gender, with the contributions of 42%, 33.5%, 21.6%, and -17.3%, respectively, were the main contributors of poor work-related PA inequality. Urban residency, having a married life, SES, and subjective social status mainly contributed to the inequality of poor transport-related PA by 82.9%, -58.7%, 36.3%, and 33.5%, respectively, followed by using a personal car (12.3%) and female gender (11.3%). To reduce the measured inequalities in employees' PA, workplace health promotion programs should aim to educate and support male, urban resident, high-SES, high-social-class, and non-shift work employees to increase their PA at workplace, and female, married, rural resident, and low-SES employees to increase their leisure-time PA. Active transportation can be promoted among female, married, urban resident, high-SES, and high-social-class employees and those use a personal car.

Socioeconomic inequality in cognitive impairment among India’s older adults and its determinants: a decomposition analysis

BackgroundCognitive impairment (CoI) is a significant risk factor for ill-health status among the older adults and a major burden on public health. This study unearths the degree of socioeconomic inequalities and assesses the determinants of CoI among the older adults in India.MethodsData on cognitive impairment of older adults aged 60 + years (n = 31,646) gathered in a nationally representative Longitudinal Ageing Study in India (2017–18) was analyzed through STATA with a significance level of 5%. Binary logistic regression, the concentration index, concentration curve, and Shapley decomposition analysis were performed to assess the socioeconomic inequalities and the determinants of CoI.ResultsSixteen percent of the older adults had CoI. Females (OR = 1.88, 95% CI = 1.70–2.09), those aged 80 plus years (OR = 3.98, 95%CI = 3.56–4.44), from ST (OR = 2.65, 95%CI = 2.32–3.02), with perceived poor health (OR = 1.61,95%CI = 1.45–1.79), with depression (OR = 1.32, 95%CI = 1.21–1.43), with no schooling (OR = 16.46, 95%CI = 11.31–23.97) with 1 + ADL (OR = 1.43, 95%CI = 1.31–1.57) and 1 + IADL (OR = 1.30, 95%CI = 1.19–1.41) had higher odds of CoI than their respective counterparts. Older adults from urban areas (OR = 0.63, 95%CI = 0.57–0.70), higher income groups (OR = 0.61, 95%CI = 0.53- 0.70) and higher education level with sources of financial support (OR = 0.68, 95%CI = 0.61- 0.76) less likely to experience CoI. Economic inequalities exist in the distribution of CoI-the poorest being the most disadvantaged (concentration index value = -0.118).ConclusionsThere are socioeconomic-related inequalities in CoI among the older adults. The socioeconomically vulnerable older adults, including those illiterates, with poor economic status, women, not-in-union, the older, and those without social support, are more likely to develop CoI. The results suggest awareness generation and more customized policies and programs to reduce the socioeconomic inequalities in CoI among the older adults in India. The improved mental health of the older adults will contribute to achieving Sustainable Development Goals, including Goal 3 on guaranteeing good health and well-being for all.

Socioeconomic determinants and inequalities in exclusive breastfeeding among children in Peru.

Although Latin America and the Caribbean have one of the highest prevalences of exclusive breastfeeding (EBF), the countries in this region have socioeconomic determinants that influence the frequency of this practice and do not allow achieving the 70% target recommended by the World Health Organization. Therefore, the objective of the study was to examine the socioeconomic determinants and perform a decomposition analysis of socioeconomic inequalities in EBF in Peruvian children 6 to 59 months of age. A cross-sectional study was carried out using the 2021 Demographic and Family Health Survey. The dependent variable for the study was EBF up to 6 months of age and the wealth index variable was used to perform the inequality analysis. Poisson log generalized linear regression models were fitted to evaluate the association between EBF and the independent variables, and concentration curves and Erreygers concentration index decomposition were used to analyze inequalities in EBF. A total of 9926 surveyed participants were included. The prevalence of EBF was 70.5% (95% confidence interval: 69.2-71.8). Women who were married, self-identified as native, received EBF training, resided in the highlands and jungle, and their child was the second or older showed a higher likelihood of EBF. In the inequality analysis, EBF was concentrated among the poorest mothers and the major contributors were residing in the highlands and jungle and belonging to the middle and wealthy quintiles. Our findings suggest that the main strategies to encourage the practice of EBF should be focused on all mothers regardless of their socioeconomic status in order to reduce the EBF gap between richer and poorer women.

Health-related quality of life by household income in Chile: a concentration index decomposition analysis

BackgroundHealth inequities have a profound impact on all dimensions of people’s lives, with invariably worse results among the most disadvantaged, transforming them into a more fragile and vulnerable population. These unfair inequalities also affect dimensions focused on subjectivity, such as health-related quality of life (HRQoL), which has been positioned, in recent decades, as an important outcome in health decision-making. The main objective of this study is to estimate socioeconomic inequality in HRQoL of Chilean by household income. MethodsSecondary analysis of the National Health Survey (ENS 2016–2017, Chile). This survey includes a nationally representative, stratified, and multistage household sample of people aged 15 and above. Socioeconomic inequality in HRQoL (EQ5D) is estimated by the concentration index (CI) ranked by household income. Decomposition analysis is conducted to examine potential explanatory sociodemographic factors. ResultsThe CI for household income inequality in HRQoL was -0.063. The lower the household income, the worse the HRQoL reported by in Chile. The decomposition analysis revealed that socioeconomic position contributes 75,7% to inequality in the quality of life, followed by educational level (21.8%), female gender (17.3%), and type of Health Insurance (15%), age (-19.7%) and residence (-10.8%). Less than 1% corresponds to the unexplained residual component.ConclusionsOur findings suggest the existence of a disproportionate concentration of worse HRQoL in the most disadvantaged socioeconomic groups in Chile. This inequality is largely, yet not completely, associated with household income. Other significant factors associated with this inequality are education, gender, and healthcare insurance. These results suggest the need of strengthening efforts to reducing socioeconomic gaps in health outcomes in Chile, as a means to achieve social justice and equity in health and healthcare.

Did the Integrated Urban and Rural Resident Basic Medical Insurance Improve Benefit Equity in China?

The reform of merging 2 major health insurance schemes into Urban and Rural Resident Basic Medical Insurance (URRBMI) is recognized as a vital step to safeguard equal healthcare and benefit to each enrollee in China. Against this backdrop, this article aims to evaluate the impact of URRBMI integration on benefit and its contribution to benefit equity. The data of this study were derived from the China Health and Retirement Longitudinal Study 2011 and 2015. A total of 11 383 individuals were included in the final sample. Coarsened exact matching with difference-in-difference approach was firstly adopted to investigate the treatment effects of URRBMI on benefits. Next, the decomposition of concentration index (CI) was conducted to explore the contribution of URRBMI to benefit equity. The coarsened exact matching with difference-in-difference results revealed that the consolidation of URRBMI has significantly improved outpatient benefit. The decomposition results showed that the contribution rates of URRBMI scheme to outpatient benefit rate (CI-0.0114), benefit probability (CI 0.0673), compensation fee (CI 0.0076), and reimbursement ratio (CI 0.0483) were 11.26%,-3.38%,-7.67%, and-0.81%, suggesting that this reform makes contribution to the propoor inequity in the outpatient benefit rate and relieves the prorich inequity in outpatient benefit probability and the degree of benefits. The findings of this study provide novel evidence of enhanced benefits and benefit equity for outpatient care with the integration of URRBMI. Further efforts should be made to the expansion of URRBMI coverage and the elimination of income disparities that affecting benefit equity.

Decomposition of Socioeconomic Inequality in Cardiovascular Disease Prevalence in the Adult Population: A Cohort-based Cross-sectional Study in Northwest Iran.

ObjectivesThe incidence of cardiovascular disease (CVD) mortality is increasing in developing countries. This study aimed to decompose the socioeconomic inequality of CVD in Iran.MethodsThis cross-sectional population-based study was conducted on 20 519 adults who enrolled in the Ardabil Non-Communicable Disease cohort study. Principal component analysis and multivariable logistic regression were used, respectively, to estimate socioeconomic status and to describe the relationships between CVD prevalence and the explanatory variables. The relative concentration index, concentration curve, and Blinder-Oaxaca decomposition model were used to measure and decompose the socioeconomic inequality.ResultsThe overall age-adjusted prevalence of CVD was 8.4% in northwest Iran. Multivariable logistic regression showed that older adults, overweight or obese adults, and people with hypertension and diabetes were more likely to have CVD. Moreover, people with low economic status were 38% more likely to have CVD than people with high economic status. The prevalence of CVD was mainly concentrated among the poor (concentration index, −0.077: 95% confidence interval, −0.103 to −0.060), and 78.66% of the gap between the poorest and richest groups was attributed to differences in the distribution of the explanatory variables included in the model.ConclusionsThe most important factors affecting inequality in CVD were old age, chronic illness (hypertension and diabetes), marital status, and socioeconomic status. This study documented stark inequality in the prevalence of CVD, wherein the poor were more affected than the rich. Therefore, it is necessary to implement policies to monitor, screen, and control CVD in poor people living in northwest Iran.

Wealth- and education-related inequalities in minimum dietary diversity among Indonesian infants and young children: a decomposition analysis

ABSTRACT Background Over the last two decades, Indonesia has experienced remarkable economic growth. However, the percentage of infants and young children meeting the minimum dietary diversity (MDD) criteria has stagnated. Despite the growing body of evidence of the association between MDD and socioeconomic factors, there is little information about socioeconomic inequalities in MDD in Indonesia. Objectives The current study seeks to quantify the wealth- and education-related inequalities in MDD among infants and young children in Indonesia and determine the contribution of different factors to these disparities. Methods We included a total of 5038 children aged 6–23 months of the 2017 Indonesia Demographic and Health Survey. We measured wealth- and education-related inequalities using the concentration curve and Wagstaff normalised concentration index. Using a concentration index decomposition analysis, we then examined factors contributing to wealth- and education-related inequalities in MDD. Results The concentration indices by household wealth and maternal education were 0.220 (p < 0.001) and 0.192 (p < 0.001), respectively, indicating more concentration of inequalities among the advantaged population. The decomposition analysis revealed that household wealth (29.8%), antenatal care (ANC) visits (16.6%), paternal occupation (15.1%), and maternal education (11.8%) explained the pro-rich inequalities in MDD in Indonesia. Maternal education (26.1%), household wealth (19.1%), ANC visits (14.9%), and paternal occupation (10.9%) made the most considerable contribution to education-related inequalities in MDD. Conclusions There is substantial wealth- and education-related inequalities in MDD. Our findings suggest an urgent need to address the underlying causes of not reaching dietary diversity by promoting infant and young child feeding equity in Indonesia.

Changes in Inequality in Use of Maternal Health Care Services: Evidence from Skilled Birth Attendance in Mauritania for the Period 2007-2015.

Skilled birth attendance is critical to reduce infant and maternal mortality. Health development plans and strategies, especially in developing countries, consider equity in access to maternal health care services as a priority. This study aimed to measure and analyze the inequality in the use of skilled birth attendance services in Mauritania. The study identifies the inequality determinants and explores its changes over the period 2007–2015. The concentration curve, concentration index, decomposition of the concentration index, and Oaxaca-type decomposition technique were performed to measure socioeconomically-based inequalities in skilled birth attendance services utilization, and to identify the contribution of different determinants to such inequality as well as the changes in inequality overtime using data from Mauritania Multiple Indicator Cluster Surveys (MICS) 2007 and 2015. The concentration index for skilled birth attendance services use dropped from 0.6324 (p < 0.001) in 2007 to 0.5852 (p < 0.001) in 2015. Prenatal care, household wealth level, and rural−urban residence contributed most to socioeconomic inequality. The concentration index decomposition and the Oaxaca-type decomposition revealed that changes in prenatal care and rural−urban residence contributed positively to lower inequality, but household economic status had an opposite contribution. Clearly, the pro-rich inequality in skilled birth attendance is high in Mauritania, despite a slight decrease during the study period. Policy actions on eliminating geographical and socioeconomic inequalities should target increased access to skilled birth attendance. Multisectoral policy action is needed to improve social determinants of health and to remove health system bottlenecks. This will include the socioeconomic empowerment of women and girls, while enhancing the availability and affordability of reproductive and maternal health commodities. This policy action can be achieved through improving the availability of obstetric service providers in rural areas; ensuring better distribution and quality of health infrastructure, particularly health posts and health centers; and, ensuring user fees removal for equitable, efficient, and sustainable financial protection in line with the universal health coverage objectives.

Institutional deliveries in India: a study of associates and inequality

PurposeIndia has shown good progress in maternal health outcome indicators. However, an area for improvement is to ensure all deliveries take place in institutions under the supervision of skilled birth attendants. This paper attempts to identify the factors that affect institutional deliveries using nationally representative National Family Health Survey (NFHS) data. Further, the authors investigate the factors contributing to the wealth-based inequality in institutional deliveries.Design/methodology/approachTo address the first aspect of identifying the factors associated with undergoing an institutional delivery, the authors have used logistic and multinominal logistic models. The explanatory variables are broadly socio-economic indicators of the mother and a few other household characteristics. Further, the concentration index and regression-based decomposition were used to carry out an inequality analysis in the institutional deliveries across different wealth groups.FindingsThe authors found that women belonging to poor households, backward social groups and rural areas have significantly fewer odds of undergoing an institutional delivery. Age and education level of the mother, number of antenatal visits during pregnancy and place of residence (urban/rural) have contributed to the inequality in institutional deliveries in 2005–2006. However, the inequality due to these factors went down drastically in 2015–2016.Originality/valueTo the best of the authors' knowledge, this study is a distinct attempt to use pooled data of the NFHS-3 [2005–2006] and NFHS-4 [2015–2016] in identifying factors contributing to a woman undergoing an institutional-based delivery. The study also decomposes the wealth-based inequality in the factors contributing to having an institutional delivery and analyses the contributions to inequality across the two time periods.

Disparities in three critical maternal health indicators amongst Muslims: Vis-a-vis the results reflected on National Health Mission

BackgroundThe post national health mission era has been recognized for India’s accelerating improvement in maternal health care utilization. Concurrent investigations with the purview of examining inequalities in maternal care utilisation have rigorously examined across various socio-economic groups, focusing on Muslim women. The present study examined socio-economic differentials in maternal health care utilisation among Muslims and the delineated factors which are contributing for these inequalities.MethodsStudy used the data from National Family Health Survey (NFHS) conducted in 2005-06 and 2015-16. the present study applied concentration index and Wagstaff-type decomposition analysis to measure and decompose the inequality in maternal health services.ResultsThis study found that utilisation of full antenatal care (full ANC), skilled attendants at birth (SBAs) and postnatal care was increased during 2005-06 to 2015-16. However, the least improvement was observed in full antenatal care whereas substantial improvement was achieved in utilising skilled attendants at birth. Further, the poor and non-poor gap in maternal health care utilisation mostly prevailed among the educated, urban resident, other backward castes among Muslims. The inequality has been declined largely in SBA utilisation compared to full ANC and PNC, especially in the southern India. Higher education, mass media exposure, higher birth order and urban residence contribute and explain most of these inequalities in maternal care among Muslim womenConclusionsDespite the fact that free and cash benefitted health programmes, wealth, mass media exposure and education etc welfare programs benefitted a large number of citizens, it also produced most of the inequalities among Muslims in India. The results focus on the significance of wealth, education, and mass media exposure in bridging the socioeconomic gap in maternal health care utilization among Muslims.

Social Pension Scheme and Health Inequality: Evidence From China's New Rural Social Pension Scheme.

Health equality is an essential component of social justice, and the social policies should be as conducive to promoting health equality as possible. Based on the data from China, this article uses the regression discontinuity design method and the technique of decomposition of concentration index to examine whether the social pension schemes can significantly reduce health inequality among the residents, and tries to compute the contribution rate of pension benefit in alleviating the health inequality. Our results show that the pension benefit can improve the health level of the rural subscribers, especially for the low-income population. Implement of New Rural Pension Scheme contributes to reducing the health inequality among the rural elderly with contribution rate of 39.32%. Our results contain important policy implications.

Greater inequalities in dental caries treatment than in caries experience: a concentration index decomposition approach

BackgroundThe aim of the current study was to (a) measure the socioeconomic inequalities in oral health and examine whether the inequalities are greater in disease experience or in its treatment and to (b) decompose the factors that influence oral health inequalities among the adults of Guangdong Province.MethodsA cross-sectional study was conducted among 35- to 44-year-old and 65- to 74-year-old adults in Guangdong Province. All participants underwent oral health examinations and answered questionnaires about their oral health. We measured the concentration indices of the DMFT and its separate components, namely, decayed teeth (DT), missing teeth (MT), and filled teeth (FT), to explore the inequalities in oral health status; then, we analysed its decomposition to interpret the factors that influence the inequalities.ResultsThe results showed that significant inequality was concentrated on FT (CI = 0.24, 95% CI = 0.14/0.33, SE = 0.05). The concentration indices for the DMFT (CI = 0.02, 95% CI = 0.02/0.06, SE = 0.02) and MT (CI = 0.02, 95% CI 0.03/0.08, SE = 0.03) were small and close to zero, while the concentration for DT (CI = − 0.04, 95% CI = − 0.01/0.02, SE = 0.03) was not statistically significant. The results from the decomposition analysis suggested that a substantial proportion of the inequality was explained by household income, high education level, regular oral examination and type of insurance (5.1%, 12.4%, 43.2%, − 39.6% (Urban Employee Basic Medical Insurance System) and 34.5% (New-Type Rural Medical Collaboration System), respectively).ConclusionsThe results indicated greater inequalities in dental caries than in caries experience. Among the included factors, household income, high education level, and regular oral health examinations had the greatest impact on the inequalities in the number of FT. In addition, the current medical insurance systems, including the Urban Employee Basic Medical Insurance System, Urban Resident Basic Medical Insurance System, and the New-Type Rural Medical Collaboration System, have not been effectively used in oral treatment. Policy-making and the implementation of interventions for tackling socioeconomic oral health inequalities should focus on reducing the burden of treatment and providing greater access to dental care for low-income groups. Welfare policies are skewed towards rural areas and low-income people.

The changes in socioeconomic inequalities and inequities in health services utilization among patients with hypertension in Pearl River Delta of China, 2015 and 2019

BackgroundAssessing inequities in health services utilization contributes to build effective strategies for health equity promotion. This study aimed to evaluate the socioeconomic inequalities and inequities in health services utilization among hypertensive patients and explore the changes between 2015 and 2019 in Pearl River Delta of China.MethodsThe cross-sectional surveys were conducted using the questionnaire. Eight hundred thirty and one thousand one hundred sixty-six hypertensive patients in 2015 and 2019 were interviewed, respectively. The concentration index (CI) and the horizontal inequity index (HI) were used to access the socioeconomic inequalities and horizontal inequities in outpatient and inpatient health services use. The contribution of influential factors to the overall inequalities was estimated via the concentration index decomposition. Oaxaca-type decomposition technique was utilized to measure the changes in socioeconomic inequalities between the observation periods.ResultsIn 2015 and 2019, the CIs for outpatient and inpatient utilization decreased from 0.1498 to 0.1198, 0.1982 to 0.1648, respectively, and the HIs for outpatient and inpatient utilization decreased from 0.1478 to 0.1078, 0.1956 to 0.1390, respectively. Economic status contributed the maximum ratio of the socioeconomic inequalities in the use of outpatient service (81.05% in 2015, 112.89% in 2019) and inpatient service (82.46% in 2015, 114.68% in 2019) in these 2 years. Oaxaca decomposition revealed that educational level (78.30% in outpatient, 53.79% in inpatient) and time to the nearest health facilities (66.78% in outpatient, 31.06% in inpatient) made the main positive contributions to decline the inequalities. While the main factor pushing the equalities toward deterioration was economic status (− 46.11% in outpatient, −76.56% in inpatient).ConclusionThere were certain declines in the socioeconomic inequalities and inequities in health services utilization by hypertensive patients in Pearl River Delta of China over time. The widening economic gap was the largest contribution to the observed inequalities. Interventions to protect the vulnerable group deserve further concern from policy makers.

Understanding inequalities in child immunization in India: a decomposition approach.

The importance of childhood immunization for healthy child growth and development is well recognized and is considered to be the best and most cost-effective lifesaver. Low socioeconomic status has been shown to be associated with low child immunization and health care utilization, but the inequalities in immunization coverage due to social and economic factors are poorly understood. This study aimed to explore the association between child immunization coverage and various socioeconomic factors and to quantify their contributions to generating inequalities in immunization coverage in India. The study data are from the National Family Health Survey-4 conducted in 2015-16. The association between socioeconomic determinants and child full immunization coverage was estimated using the χ2 test and binary logistic regression. Concentration indices were estimated to measure the magnitude of inequality, and these were further decomposed to explain the contribution of different socioeconomic factors to the total disparity in full immunization coverage. The results showed that the uptake of immunization in 2015-16 was highly associated with mother's educational status and household wealth. The concentration index decomposition revealed that inequality (immunization disadvantage) was highest among poorer economic groups and among children whose mothers were illiterate. The overall concentration index value indicates that the weaker socioeconomic groups in India are more disadvantaged in terms of immunization interventions. The results offer insight into the dynamics of the variation in immunization coverage in India and help identify vulnerable populations that should be targeted to decrease socioeconomic inequalities in the country.