Pro-rich Inequality Research Articles

Decomposition of economic inequalities in dental caries among Iranian schoolchildren.

Monitoring social inequalities in dental caries is crucial for establishing priorities in oral health systems. This study aimed to assess economic inequalities in dental caries and its contributing factors among Iranian schoolchildren. Data were obtained from the first phase of the Shahroud Schoolchildren Eye Cohort Study in 2015. A total of 4992 children aged 6-12 years old were included in the analysis. Dental examinations were conducted following the diagnostic methods and standards of the Oral Health Examination Survey, as recommended by the World Health Organization. The concentration index (C) was utilized to assess economic inequalities in dental caries. Additionally, the decomposition of C was employed to explain the determinants of the measured inequalities. In total, 71.4% of the schoolchildren had dental caries in primary dentition (dft≥1), and 41.6% of the schoolchildren had dental caries in permanent dentition (DMFT≥1). The Cs of dft≥1, primary decayed teeth (pdt≥1), and permanent missing teeth (PMT≥1) were -0.136 (95% CI: -0.167, -0.104), -0.164 (95% CI: -0.194, -0.134), and -0.208 (95% CI: -0.262, -0.153), respectively, which indicates their more concentration among low-economic children. Conversely, pft≥1 and PFT≥1 had Cs of 0.327 (95% CI: 0.292, 0.361) and 0.218 (95% CI: 0.179, 0.256), showing more concentration among high-economic children. Basic health insurance coverage and age were the main contributors that explained 28.6% and 19.2% of the economic inequality in dft≥1, and 25.7% and 16.6% of the pdt≥1 inequality, respectively. Economic status, residence in rural areas, mother education, father education, and age were the main contributors to the measured inequality in pft≥1 by 80.5% and 26.5%, 21.9%, 22%, and -18.3%, respectively. Economic status, having a housekeeper mother, residence in rural areas, having basic health insurance coverage, mother education, and father education positively contributed to the measured inequality in PMT≥1 by 45.4%, 42.4%, 37.8%, 35.1%, 21.3%, and 15.2%, respectively, while age had a negative contribution of -19.3%. For PFT≥1, economic status, age, and father education accounted for 76%, 25.4%, and 20.3% of the measured inequality, respectively. Pro-rich economic inequalities were observed in children's primary and permanent teeth caries. Thus, government interventions to reduce these inequalities should aim to expand the coverage of basic and supplementary health insurance in line with increasing the coverage of dental health costs in these plans, training and providing access to required dental health services for low-socioeconomic children, including the poor, rural, and those who have low-educated parents and a housekeeper mother, especially at younger ages.

Contrasting income-based inequalities in incidence and mortality of breast cancer in Korea, 2006-2015.

Breast cancer incidence and mortality rates in Korea are increasing. This study analyzed income-based inequalities in the incidence and mortality of women breast cancer from 2006 to 2015, using national data that covered all Korean women. We used the National Health Information Database from 2006 to 2015. For women aged 20 and older, the age-standardized incidence and mortality rates of breast cancer per 100,000 by income quintile per year were calculated using the direct method. The rate ratio and rate difference (RD) of the age-standardized incidence and mortality rates of breast cancer per 100,000 between the top and bottom income quintiles were calculated as relative and absolute measures for inequalities. When comparing 2006 and 2015, both the incidence and mortality rates of breast cancer increased. The lowest income quintile experienced higher mortality rates despite having lower incidence rates. In 2015, the income-based RD in incidence and mortality rates between the highest and lowest income quintiles (Q1-Q5) was -19.9 (95% confidence interval [CI], -24.3 to -15.5) and 4.4 (95% CI, 2.9 to 5.8), respectively. Throughout this period, there was no statistically significant trend in income-based disparities in breast cancer incidence and mortality. The age-specific contributions to the absolute magnitude of inequality (RD) in incidence and mortality were more pronounced among middle-aged women than among older women. This study found that breast cancer in Korea exhibited pro-rich inequalities in mortality despite pro-poor inequalities in incidence. More equitable policies for screening and treatment of breast cancer are needed.

On the road to equity: examining income-related inequalities in ownership of safer cars

Abstract Using administrative Driver and Vehicle Licensing Agency (DVLA) data, matched with the UK Household Longitudinal Study (covering the period between 2013 and 2015), we estimate income-related inequalities in ownership of safer cars. We also apply regression-based decompositions to explore the source of inequalities. We find systematic pro-rich inequalities in ownership of safer cars that are almost entirely explained by the car's price and year of manufacture. A range of household-level variables, including demographics, risk aversion, time preference, personality traits, cognitive ability and education, play a much less pronounced contribution to overall inequality. The observed inequity in safer car ownership with potential effects on the socio-economic gap in road-traffic injuries may require regulatory interventions.

Social disparities and inequalities in healthcare access and expenditures among Iranians exposed to sulfur mustard: a national study using spatio-temporal analysis

Background Sulfur Mustard (SM) is a chemical warfare agent that has serious short-term and long-term effects on health. Thousands of Iranians were exposed to SM during the eight-year Iran-Iraq conflict and permanently injured while the socioeconomic imbalance in their healthcare utilization (HCU) and health expenditures remains. This study aims to describe the HCU of SM-exposed survivors in Iran from 2018 to 2021; identify high-risk areas; and apply an inequality analysis of utilization regarding the socioeconomic groups to reduce the gap by controlling crucial determinants.Methods From Oct 2018 to June 2021, the Veterans and Martyrs Affairs Foundation (VMAF) recorded 58,888 living war survivors with eye, lung, and skin ailments. After cleaning the dataset and removing junk codes, we defined 11 HCU-related variables and predicted the HCU for the upcoming years using Bayesian spatio-temporal models. We explored the association of individual-level HCU and determinants using a Zero-inflated Poisson (ZIP) model and also investigated the provincial hotspots using Local Moran’s I.ResultsWith ≥ 90% confidence, we discovered eleven HCU clusters in Iran. We discovered that the expected number of HCU 1) rises with increasing age, severity of complications in survivors' eyes and lungs, wealth index (WI), life expectancy (LE), and hospital beds ratio; and 2) decreases with growing skin complications, years of schooling (YOS), urbanization, number of hospital beds, length of stay (LOS) in bed, and bed occupancy rate (BOR). The concentration index (CInd) of HCU and associated costs in age and wealth groups were all positive, however, the signs of CInd values for HCU and total cost in YOS, urbanization, LOS, and Hospital beds ratio groups were not identical.ConclusionsWe observed a tendency of pro-rich inequity and also higher HCU and expenditures for the elderly population. Finally, health policies should tackle potential socioeconomic inequities to reduce HCU gaps in the SM-exposed population. Also, policymakers should allocate the resources according to the hotspots of HCU.

Socioeconomic inequality and contributors in accepting attitudes toward people living with HIV among adults in Ethiopia from 2005 to 2016: a population-based cross-sectional study

IntroductionThe public’s accepting attitude toward people living with HIV is crucial in reducing HIV-related stigma and discrimination, increasing people’s access to HIV service. This study examines the inequalities in accepting...

Decomposing income-related inequality in health-related quality of life in mainland China: a national cross-sectional study

IntroductionHealth equity is an important indicator measuring social development and solidarity. However, there is a paucity in nationwide studies into the inequity in health-related quality of life (HRQoL) in mainland...

Spatiotemporal change in wealth-based inequalities in overweight/obesity among women of reproductive age in India, 2015–2021

BackgroundOverweight/obesity poses significant global health concerns, especially affecting women. This study aimed to measure changes in wealth-based inequality in overweight/obesity among women of reproductive age (WRA) across states of India from 2015 to 2021 and identify the contributing factors to this inequality. MethodsThe study used information on 582,851 and 587,435 women aged 15–49 from National Family Health Survey (NFHS)-4 (2015-16) and NFHS-5 (2019-21), respectively. Erreygers Concentration Index (ECI) was employed to measure the change in inequality over time. Further, ECI was decomposed to unravel the contributing factors to this inequality. ResultsOverweight/obesity among WRA in India increased from 20.3 % in NFHS-4 to 23.7 % in NFHS-5. A significant pro-rich inequality in overweight/obesity was observed at the national level and across all 28 states of India during both NFHS-4 and NFHS-5. The national wealth-based inequality reduced marginally over the study period (ECI: 0.25 in NFHS-4, ECI: 0.23 in NFHS-5), but at the state level, it rose in 8 states and declined in 16 states. Punjab witnessed the most significant increase (ECI: 0.10 in NFHS-4, ECI: 0.18 in NFHS-5) in inequality, while Maharashtra (ECI: 0.24 in NFHS-4, ECI: 0.16 in NFHS-5) saw the most significant decrease in inequality. The decomposition analysis results revealed that women's education, mass media exposure, and place of residence were major contributors, contributing more than 80 % to wealth-based inequality in overweight/obesity. ConclusionThe study highlights the growing prevalence of overweight/obesity among WRA in India, emphasizing that wealth-related inequalities in the prevalence of overweight/obesity represent a significant public health concern both at the national and state levels in India.

Wealth-based inequality in the continuum of maternal health service utilisation in 16 sub-Saharan African countries

BackgroundPersistent inequalities in coverage of maternal health services in sub-Saharan Africa (SSA), a region home to two-thirds of global maternal deaths in 2017, poses a challenge for countries to achieve the Sustainable Development Goal (SDG) targets. This study assesses wealth-based inequalities in coverage of maternal continuum of care in 16 SSA countries with the objective of informing targeted policies to ensure maternal health equity in the region.MethodsWe conducted a secondary analysis of Demographic and Health Survey (DHS) data from 16 SSA countries (Angola, Benin, Burundi, Cameroon, Ethiopia, Gambia, Guinea, Liberia, Malawi, Mali, Nigeria, Sierra Leone, South Africa, Tanzania, Uganda, and Zambia). A total of 133,709 women aged 15-49 years who reported a live birth in the five years preceding the survey were included. We defined and measured completion of maternal continuum of care as having had at least one antenatal care (ANC) visit, birth in a health facility, and postnatal care (PNC) by a skilled provider within two days of birth. We used concentration index analysis to measure wealth-based inequality in maternal continuum of care and conducted decomposition analysis to estimate the contributions of sociodemographic and obstetric factors to the observed inequality.ResultsThe percentage of women who had 1) at least one ANC visit was lowest in Ethiopia (62.3%) and highest in Burundi (99.2%), 2) birth in a health facility was less than 50% in Ethiopia and Nigeria, and 3) PNC within two days was less than 50% in eight countries (Angola, Burundi, Ethiopia, Gambia, Guinea, Malawi, Nigeria, and Tanzania). Completion of maternal continuum of care was highest in South Africa (81.4%) and below 50% in nine of the 16 countries (Angola, Burundi, Ethiopia, Guinea, Malawi, Mali, Nigeria, Tanzania, and Uganda), the lowest being in Ethiopia (12.5%). There was pro-rich wealth-based inequality in maternal continuum of care in all 16 countries, the lowest in South Africa and Liberia (concentration index = 0.04) and the highest in Nigeria (concentration index = 0.34). Our decomposition analysis showed that in 15 of the 16 countries, wealth index was the largest contributor to inequality in primary maternal continuum of care. In Malawi, geographical region was the largest contributor.ConclusionsAddressing the coverage gap in maternal continuum of care in SSA using multidimensional and people-centred approaches remains a key strategy needed to realise the SDG3. The pro-rich wealth-based inequalities observed show that bespoke pro-poor or population-wide approaches are needed.

Equity in health service utilisation among middle-aged and elderly people with multiple chronic conditions in China: evidence from longitudinal data of 2011–2018 CHARLS

ObjectivesEquity in health service utilisation is a central objective for health systems. Middle-aged and elderly patients with multiple chronic conditions (MCCs) are particularly vulnerable to healthcare inequity. This study aimed...

Identifying Social Determinants and Measuring Socioeconomic Inequalities in the Use of Four Different Mental Health Services by Australian Adolescents Aged 13-17 Years: Results from a Nationwide Study.

In this study, we aimed to identify the determinants of four different forms of mental health service usage (general health services, school counselling, telephone, and online services), and the number of mental health services accessed (single and multiple) by Australian adolescents aged 13-17 years. We also measured socioeconomic inequality in mental health services' usage following the concentration index approach within the same sample. The data came from the nationwide cross-sectional survey, Young Minds Matter (YMM): the second Australian Child and Adolescent Survey of Mental Health and Wellbeing. Random effect models were used to identify the factors associated with four different mental health services and the number of services accessed. Further, the Erreygers' corrected concentration indices for binary variables were used to quantify the socioeconomic inequality in each mental health service. The four services were the general health service (GP, specialist, psychiatrist, psychologist, hospital including emergency), school services, telephone counselling and online services. Overall, 31.9% of the total analytical sample (n = 2268) aged 13-17 years old visited at least one service, with 21.9% accessing a single service and 10% accessing multiple services. The highest percentage of adolescents used online services (20.1%), followed by general mental health services (18.3%), while school services (2.4%) were the least used service. Age, gender, family type and family cohesion statistically significantly increased the use of general health and multiple mental health service usage (p < 0.05). Area of residence was also found to be a significant factor for online service use. The concentration indices (CIs) were -0.073 (p < 0.001) and -0.032 (p < 0.001) for health and telephone services, respectively, which implies pro-rich socio-economic inequality. Adolescents from low-income families frequently used general mental health services and telephone services compared to those who belonged to high-income families. The study concluded that if we want to increase adolescents' usage of mental health services, we need to tailor our approaches to their socioeconomic backgrounds. In addition, from a policy standpoint, a multi-sectoral strategy is needed to address the factors related to mental health services to reduce inequity in service utilisation.

Assessing the sustainability of two independent voucher-based family planning programs in Pakistan: a 24-months post-intervention evaluation

IntroductionFamily planning vouchers have emerged as a promising approach to improve coverage of underserved groups or underutilized services. The current study was designed to measure the residual/longer-term impact of two-independent FP voucher programs on women’s practices beyond the program’s life program.MethodsA cross-sectional survey conducted, as part of the two-independent larger mixed-method studies, approximately 24 months after the close-down of Marie Stopes Society and Greenstar Social Marketing family planning voucher intervention programs in Punjab, Pakistan. Following necessary ethics approvals, 338 voucher MSS clients & 324 voucher GSM clients were interviewed using a structured questionnaire at the household level.ResultsCompared with end-line data, a significant decrease in the modern contraceptive uptake in both MSS (90% at endline to current (or post-endline) 52%) and GSM (from 84% to current 56%) intervention sites among the voucher clients was noted. Among MSS voucher clients, the highest decline in use was observed in IUCD (54% at endline versus to current 13%); however no change between the surveys was noted among GSM clients. In both projects, following closure of voucher intervention 34% of the discontinued users in MSS and 29% in GSM sites adopted/switched to a new modern contraceptive again. In the post-intervention survey, wealth-based inequality in GSM data depicts more pro-rich utility for modern methods, indicating pro-rich inequality, in contrast, the post-intervention survey in MSS found mixed results such as pro-poor inequality for any method and modern method use.ConclusionsThe prevalence for contraception in two-independent study sites, following closure of voucher intervention remained high than national average. This study provides evidence that family planning vouchers can bring about an enduring positive change in clients’ behaviours in using modern contraceptive methods among poor populations among both intervention models. These results are useful to design family planning programs that will sustain when the donor funding terminates.

Income-Related Inequities in Primary and Specialist Care Among First Nations Peoples Living Off-Reserve in Canada.

Improving equity in healthcare is a primary goal of health policy in Canada. Although the investigation of equity in healthcare utilization is common in the general population, little research has been conducted to assess equity in healthcare utilization within First Nations peoples living in Canada. To examine income-related inequities in primary care (family doctor/general practitioner and nurse practitioner care) and specialist care within status and non-status First Nations adults living off-reserve. Using the 2017 Aboriginal Peoples Survey (APS), a nationally representative survey of Indigenous peoples living off-reserve in Canada, we analyzed income-related inequities in healthcare among Indigenous adults (>18 years) who self-identified as a member of any First Nations group in Canada. Logistic regression analysis was performed to identify factors associated with the utilization of primary and specialist care. The Horizontal Inequity index (HI), which measures unequal healthcare use by income for equal need, was used to quantify and decompose income-related inequities for primary and specialist care for status and non-status, and total First Nations groups. The regression results revealed higher primary and specialist care use among females, high socioeconomic status (high income and more educated) and status First Nations peoples in Canada. The positive values of the HI suggested a higher concentration of primary care and specialist care utilization among higher income First Nations peoples after adjusting for healthcare need. These pro-rich inequities persisted for the total First Nations populations, and for those in each status group individually. The decomposition results suggested observed inequities in both primary and specialist care among First Nations peoples can be predominantly attributed to the unequal distribution of education and income. Although primary and specialist services in Canada are free at the point of the provision, we found pro-rich inequities in healthcare use among First Nations adults living off-reserve in Canada. These results warrant policies and initiatives to address barriers to healthcare use within and outside health system among low-income First Nations peoples living off-reserve.

Socioeconomic inequalities in health outcomes among Thai older population in the era of Universal Health Coverage: trends and decomposition analysis

BackgroundThailand’s Universal Health Coverage (UHC) has been achieved since 2002 when the entire population are covered by three main public health security schemes: (1) Civil Servant Medical Benefit Scheme (CSMBS); (2) Social Security Scheme (SSS); and (3) Universal Coverage Scheme (UCS). Citizens have access to healthcare services at all life stages and are protected from catastrophic expenditure and medical impoverishment. However, there are health inequalities in both health outcomes and access to healthcare among older Thais. This study aims to: (1) assess the degrees of socioeconomic inequalities in health outcomes among the older Thai population during the period of Thailand’s UHC implementation (2003–2019), and (2) explain socioeconomic inequalities in health outcomes through decomposition of the contributions made by Thailand’s UHC policy and other health determinants.MethodsData sets come from a four-year series of the National Health and Welfare Survey (HWS) between 2003 and 2019. The health outcome of interest was obtained from the Thai EQ-5D index. The Erreygers’ concentration index (CI) was used to calculate the socioeconomic inequality in health outcomes. Multivariate methods were employed to decompose inequalities.ResultsFindings indicated Thai older adults (aged 50 and older) are healthier during the UHC implementation. Better health outcomes remain concentrated among the wealthier groups (pro-rich inequality). However, the degree of socioeconomic inequalities in health outcomes significantly declined by almost a factor-of-three (from CI = 0.061 in 2003 to CI = 0.024 in 2019) after the roll-out of the UHC. Decomposed results reported that Thailand’s UHC, urban residence, and household wealth were major contributors in explaining pro-rich inequalities in health outcomes among Thai older adults.ConclusionsOlder persons in Thailand have better health while health inequalities between the rich and the poor have substantially decreased. However, there is inequalities in health outcomes within all three national health security schemes in Thailand. Minimizing differences between schemes continues to be a crucial cornerstone to tackling health inequalities among the older population. At the same time, making Thailand’s UHC sustainable is necessary through preparing financial sustainability and developing health resources to better serve an ageing society.

Public health insurance coverage in India before and after PM-JAY: repeated cross-sectional analysis of nationally representative survey data

IntroductionThe provision of non-contributory public health insurance (NPHI) to marginalised populations is a critical step along the path to universal health coverage. We aimed to assess the extent to which...

How equitable is utilization of maternal health services in Uganda? Implications for achieving universal health coverage

BackgroundMaternal and neonatal mortality in Uganda remain persistently high. While utilisation of maternal health services has been shown to reduce the risk of maternal death, little is known about the inequalities in utilisation of maternal health services in Uganda. This study examined the inequalities in utilisation of maternal health services between 2006 and 2016 to draw implications for achieving universal health coverage.MethodsWe used the Uganda Demographic Health Survey 2006, 2011 and 2016 to analyse inequalities in utilisation of antenatal care (ANC4+), skilled birth attendance (SBA), postnatal care (PNC) and a package of maternal health services. Equity ratios, concentration curves, concentration indices and regression analysis were used in the estimations.ResultsInequalities in utilization of single and a package of maternal health services reduced between 2005 and 2016, but remained pro-rich. Inequalities in utilisation of package of maternal health services were greater than for a single service. Women from the richest quintile were 4 times more likely to receive a package of care compared to the poorest women, but were just 1.5 times more likely to receive ANC4 + than those in the poorest quintile. In 2006 women in urban areas were 2.6 times more likely to receive a package of all three maternal health services than their rural counterpart and they had a relative advantage of 23.4% to utilize skilled birth delivery than the poorest women. Each additional year of schooling and living in urban areas was associated with 1.2 and 1.6% point increase in utilisation of a package of care respectively. Wealth, education and living in urban areas were positively associated with utilisation of all maternal healthcare.ConclusionDeclining inequalities in utilisation of maternal healthcare reflect a move towards achieving universal health coverage in Uganda. Pro-rich, education and urban-biased inequalities, imply the need for targeted interventions for the poor, less educated and rural women. Targeted voucher schemes, free distribution of birth kits for poorer and rural women, community-level mobilization to improve uptake of postnatal care, and promoting women’s education and incomes are feasible interventions to improve utilisation of maternal health services and equity.

Decomposing socioeconomic inequalities in dental caries among Chinese adults: findings from the 4th national oral health survey

ObjectiveThis cross-sectional study aimed to investigate socioeconomic inequalities in dental caries among adults (35 years and older) in China and explore the contributions of various factors to these inequalities.MethodsThis study included 10,983 adults (3,674 aged 35–44 years, 3,769 aged 55–64 years and 3,540 aged 65–74 years) who participated in the 4th National Oral Health Survey (2015–2016) in China. Dental caries status was evaluated by the decayed, missing and filled teeth (DMFT) index. Concentration indices (CIs) were applied to quantify the different degrees of socioeconomic-related inequality in DMFT, decayed teeth with crown or root caries (DT), missing teeth due to caries or other reasons (MT), and filled teeth without any primary or secondary caries (FT) among adults of different age groups. Decomposition analyses were conducted to identify the determinants and their associations with inequalities in DMFT.ResultsThe significant negative CI indicated that DMFT for the total sample were concentrated among socioeconomically disadvantaged adults (CI = − 0.06; 95% confidence interval [CI], − 0.073 to − 0.047). The CIs for DMFT for adults aged 55–64 and 65–74 years were − 0.038 (95% CI, − 0.057 to − 0.018) and − 0.039 (95% CI, − 0.056 to − 0.023), respectively, while the CI for DMFT for adults aged 35–44 years was not statistically significant (CI = − 0.002; 95% CI, − 0.022 to 0.018). The concentration indices of DT were negative and concentrated in disadvantaged populations, while FT showed pro-rich inequalities in all age groups. Decomposition analyses showed that age, education level, toothbrushing frequency, income and type of insurance contributed substantially to socioeconomic inequalities, accounting for 47.9%, 29.9%, 24.5%,19.1%, and 15.3%, respectively.ConclusionDental caries was disproportionately concentrated among socioeconomically disadvantaged adults in China. The results of these decomposition analyses are informative for policy-makers attempting to develop targeted health policy recommendations to reduce dental caries inequalities in China.

Socioeconomic and urban-rural inequalities in the population-level double burden of child malnutrition in the East and Southern African Region.

Socioeconomic and urban-rural inequalities in the population-level double burden of child malnutrition threatens global nutrition targets 2025, especially in East and Southern Africa. We aimed to quantify these inequalities from nationally representative household surveys in the East and Southern African region. 13 Demographic and Health Surveys between 2006 and 2018 including 72,231 children under five years old were studied. Prevalence of stunting, wasting and overweight (including obesity) were disaggregated by wealth quintiles, maternal education categories and urban-rural residence for visual inspection of inequalities. The slope index of inequality (SII) and the relative index of inequality (RII) were estimated for each country. Regional estimates of child malnutrition prevalence and socioeconomic and urban-rural inequalities were generated from pooling country-specific estimates using random-effects meta-analyses. Regional stunting and wasting prevalence were higher among children living in the poorest households, with mothers with the lowest educational level and in rural areas. In contrast, regional overweight (including obesity) prevalence was higher among children living in the richest households, with mothers with the highest educational level and urban areas. This study indicates pro-poor inequalities are present in child undernutrition and pro-rich inequalities are present in child overweight including obesity. These findings re-emphasise the need for an integrated approach to tackling the population-level double burden of child malnutrition in the region. Policy makers must target specific populations that are vulnerable to child malnutrition, to avoid further widening of socioeconomic and urban-rural inequalities.

Is socioeconomic inequality in antenatal care coverage widening or reducing between- and within-socioeconomic groups? A case of 19 countries in sub-Saharan Africa

Maternal health statistics have improved in many countries in sub-Saharan Africa (SSA). Still, progress remains slow in meeting the Sustainable Development Goals (SDG) targets. Accelerating antenatal care (ANC) coverage is critical to improving maternal health outcomes. To progress, countries should understand whether to target reducing health disparities between- or within-socioeconomic groups, as policies for achieving these may differ. This paper develops a framework for decomposing changes in socioeconomic inequalities in health into changes in between- and within-socioeconomic groups using the concentration index, a popular measure for assessing socioeconomic inequalities in health. It begins by noting the challenge in decomposing the concentration index into only between- and within-group components due to the possibility of an overlap created by overlapping distributions of socioeconomic status between groups. Using quantiles of socioeconomic status provides a convenient way to decompose the concentration index so that the overlap component disappears. In characterising the decomposition, a pro-poor shift occurs when socioeconomic inequality is reduced over time, including between- and within-socioeconomic groups, while a pro-rich shift or change occurs conversely. The framework is applied to data from two rounds of the Demographic and Health Survey of 19 countries in SSA conducted about ten years apart in each country. It assessed changes in socioeconomic inequalities in an indicator of at least four antenatal care visits (ANC4+) and the count of ANC visits (ANC intensity). The results show that many countries in SSA witnessed significant pro-poor shifts or reductions in socioeconomic inequalities in ANC coverage because pro-rich inequalities in ANC4+ and ANC intensity become less pro-rich. Changes in between-socioeconomic group inequalities drive the changes in ANC service coverage inequalities in all countries. Thus, policies addressing inequalities between-socioeconomic groups are vital to reducing overall disparities and closing the gap between the rich and the poor, a crucial objective for the SDGs.

Spatial and socioeconomic inequalities in the access to safe drinking water in Peruvian households.

Access to safe drinking water has increased in Peru over the last decades, from 47% (2008) to 52% (2018). Nevertheless, such access would differ according to socioeconomic and regional factors. Thus, this study aimed to assess the socioeconomic inequality in the access to safe drinking water and identify its spatial distribution. We conducted a cross-sectional study based on the secondary data analysis of the 2021 Peruvian Demographic and Health Survey. Access to safe drinking water was a dummy variable categorised as safe if the residual chlorine concentration was ≥0.5 mg/L. Nationwide, 29.22% of households had access to safe drinking water. A pro-rich inequality in access to safe drinking water was observed. The spatial distribution was clustered. Significant hotspots were found in the south and centre of the country; however, cold spots were found in most areas. SaTScan analysis identified 32 and 63 significant clusters at high and low risks of having access to safe drinking water, respectively. In conclusion, approximately one out of four Peruvian households has access to safe drinking water, which was mostly concentrated among the wealthier households. Intra- and interdepartmental inequalities in access to safe drinking water were found, with several high-risk clusters.

Unmet healthcare needs and health inequalities in people with spinal cord injury: a direct regression inequality decomposition

BackgroundInequality in health is a prevalent and growing concern among countries where people with disabilities are disproportionately affected. Unmet healthcare needs explain a large part of the observed inequalities between and within countries; however, there are other causes, many non-modifiable, that also play a role.AimThis article explores the difference in health across income levels in populations with spinal cord injury (SCI). SCI is of special interest in the study of health systems, as it is an irreversible, long-term health condition that combines a high level of impairment with subsequent comorbidities.MethodsWe estimated the importance of modifiable and non-modifiable factors that explain health inequalities through a direct regression approach. We used two health outcomes: years living with the injury and a comorbidity index. Data come from the International Spinal Cord Injury Survey (InSCI), which has individual data on people with SCI in 22 countries around the world. Due to the heterogeneity of the data, the results were estimated country by country.ResultsOn average, the results exhibit a prevalence of pro-rich inequalities, i.e., better health outcomes are more likely observed among high-income groups. For the years living with the injury, the inequality is mostly explained by non-modifiable factors, like the age at the time of the injury. In contrast, for the comorbidity index, inequality is mostly explained by unmet healthcare needs and the cause of the injury, which are modifiable factors.ConclusionsA significant portion of health inequalities is explained by modifiable factors like unmet healthcare needs or the type of accident. This result is prevalent in low, middle, and high-income countries, with pervasive effects for vulnerable populations like people with SCI, who, at the same time are highly dependent on the health system. To reduce inequity, it is important not only to address problems from public health but from inequalities of opportunities, risks, and income in the population.Highlights• Better health status is evident among high-income groups, which is reflected in pro-rich inequalities.• Age at the time of the injury is the most important factor to explain inequalities in years living with the injury.• Unmet health care needs are the most important factor to explain inequalities in comorbidities.• The inequality in health varies by country dependent upon socioeconomic factors.