Pro-rich Inequality Research Articles

Socioeconomic inequality in exposure to second-hand smoke among middle-aged adults of the RaNCD cohort study: a decomposition analysis

BackgroundSecondhand smoke (SHS) can cause various health problems among different age groups worldwide. Socioeconomic factors may influence the distribution of SHS exposure among population subgroups. We aimed to estimate socioeconomic inequality in SHS exposure and identify its contributing factors among a sample of Iranian adults.MethodsThis cross-sectional investigation utilized baseline data from the Ravansar Non-Communicable Disease cohort study. The study population comprised 7991 middle-aged adults aged between 35 and 65 years. To determine socioeconomic status (SES) principal component analysis (PCA) was used. The Wagstaff normalized concentration index (Cn) was utilized to measure the extent of socioeconomic inequality in SHS. Furthermore, decomposition analysis was performed to identify the factors contributing to the observed inequality in SHS exposure.ResultsThe prevalence of SHS exposure among men, women, and the total population was 38.23%, 47.29%, and 43.89%, respectively. The concentration index (Cn) value for SHS exposure was − 0.121 (95% confidence interval [CI]: -0.146, -0.096) in the study participants. Among men and women, the values were − 0.080 (95% CI: -0.122, -0.037) and − 0.095 (95% CI: -0.112, -0.063), respectively, indicating a higher concentration of SHS among individuals with low SES. Female sex (35.17%), socioeconomic status (31.83%), being married (-26.36%), and rural residency (22.44%) were identified as the primary factors contributing to the observed inequality in SHS exposure.ConclusionThe research findings revealed a pro-rich inequality in SHS, with a significant concentration among low-SES individuals. In terms of the main contributors to socioeconomic inequality in SHS exposure, policy interventions need to pay attention to females, individuals with low SES, and married individuals to address inequality in SHS exposure.

Socioeconomic inequality in cervical cancer screening uptake among women in sub-Saharan Africa: a decomposition analysis of Demographic and Health Survey data

ObjectiveTo examine socioeconomic inequalities in the use of cervical cancer screening among women in sub-Saharan Africa.DesignSecondary data from the Demographic and Health Survey data in sub-Saharan Africa.SettingSub-Saharan Africa.ParticipantsWomen aged 15–64...

Inequalities in health and health-care accessibility among older people in China

Abstract While health inequalities among older people have long been a research focus and are now high on policy agendas in developed societies, they have often been neglected in less developed ones, despite them experiencing rapid population ageing since the turn of the century. Using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) cohort study (N = 63,578), this paper measures the health status of older people using the Quality of Well-Being scale, and estimates time trends in health inequality with concentration indices, followed by an investigation of their social determinants. Its specific focus is health care accessibility (HA) in the period 2005–2018, when China experienced an unprecedented advance in health-related social policy reform. The analysis reveals pro-rich inequalities in health among older people, but also shows that these have narrowed gradually over the past two decades, which is largely attributable to greater equity in access to health care. Within this general trend of inequality reduction, however, the role of HA has declined and social determinants such as education now have an increasing influence on health inequalities. These findings suggest that social policies targeting not only health improvements among older people but also health inequalities earlier in the life course are required if policy makers want to promote health equity in later life.

Healthcare inequity arising from unequal response to need in the older (45+ years) population of India: Analysis of nationally representative data

Given the large and growing number of older (45+ years) people in India, inequitable access to healthcare in this population would slow global progress toward universal health coverage. We used a 2017-18 nationally representative sample of this population (n = 53,687) to estimate healthcare inequality and inequity by economic status. We used an extensive battery of indicators in nine health domains, plus age and sex, to adjust for need. We measured economic status by monthly per capita consumption expenditure and used a concentration index to measure inequalities in probabilities of any doctor visit and any hospitalisation within 12 months. We decomposed inequality with a regression method that allowed for economic and urban/rural heterogeneity in partial associations between healthcare and both need and non-need covariates. We used the associations achieved by the richest fifth of urban dwellers to predict a need-justified distribution of healthcare and compared the actual distribution with that benchmark to identify inequity. We found pro-rich inequalities in doctor visits and hospitalisations, which were driven by use of private healthcare. Adjustment for the greater need of poorer individuals revealed pro-rich inequity that exceeded inequality by about 65% and 39% for doctor visits and hospitalisations, respectively. These adjustments would have been substantially smaller, and inequity underestimated, without allowing for use-need heterogeneity, which accounted for 11% of the inequity in doctor visits and was 373% of inequity in hospitalisations. Targeting service coverage on poorer and rural groups, and increasing their access to private providers, would both reduce inequity and raise average coverage in the older population of India.

Socioeconomic Inequalities in Participation in Colorectal Cancer Screening in Ontario, Canada: A decomposition analysis.

The relationship between socioeconomic status and colorectal cancer (CRC) screening in Canada remains poorly understood. This study aims to measure and explain the extent of socioeconomic inequalities in CRC screening participation in Ontario, Canada. This study assesses socioeconomic inequalities in CRC screening uptake in Ontario among adults aged 50 to 74 years (n=12,039) utilizing cross-sectional data from the 2017-2018 Canadian Community Health Survey (CCHS). The Wagstaff Index (WI) and the Erreygers Index (EI) were used to quantify and decompose income-related inequality in CRC screening participation. The results revealed an overall CRC screening rate of 71.7%, with higher rates among females (78.4%) compared to males (69.4%). The positive values of the WI (0.193; 95% confidence interval [CI]: 0.170 to 0.215) and the EI (0.156; 95% CI: 0.138 to 0.174) indicated a pro-rich inequality in CRC screening participation in Ontario (i.e., screening is more concentrated among wealthier individuals). The decomposition analysis identified income (71.61%), education (8.61%), and language barriers with healthcare providers (5.76%) as the primary factors contributing to the observed income-related inequality in CRC screening participation. Income is the primary driver of socioeconomic inequality, requiring targeted strategies to boost screening rates among low-income residents. Addressing education and language barriers through awareness initiatives and language support can reduce socioeconomic inequalities in cancer screening uptake in Ontario. Our study reveals significant socioeconomic inequality in colorectal cancer screening in Ontario, driven by income, education, and language barriers, underscoring the need for targeted interventions to promote equitable access.

Social determinants and socioeconomic inequalities in adherence to antenatal iron-folic acid supplementation in urban and rural Indonesia.

Adherence to iron-folic acid supplementation (IFAS) has been linked with maternal anaemia. While findings about determinants of IFAS adherence have been mixed across different research, there is inadequate evidence in relation to socioeconomic inequalities. This study aims to examine social determinants and socioeconomic inequalities of adherence to IFAS in urban and rural Indonesia. We conducted a secondary analysis of the 2017 Indonesia Demographic and Health Survey by including a total of 12 455 women aged 15-49 years. The outcome was adherence to IFAS for at least 90 days. We used multiple logistic regression analysis adjusted for the survey design to analyse factors associated with IFAS adherence. We estimated socioeconomic inequalities using the Wagstaff normalized concentration index and plotted them using the concentration curve. About half of women consumed IFAS for at least 90 days, with a higher proportion in urban areas (59.0%) than in rural areas (47.8%). Social determinants of adherence to IFAS were similar for urban and rural women. Overall, being an older woman, having weekly internet access, antenatal care for at least four visits, and residing in Java and Bali were significantly linked to IFAS adherence. Higher maternal education was significantly linked to IFAS adherence in urban settings, but not in rural settings. There were interactions between place of residence and woman's education (p<0.001) and household wealth (p<0.001). Concentration indices by woman's education and household wealth were 0.102 (p<0.001) and 0.133 (p<0.001), respectively, indicating pro-educated and pro-rich inequalities. However, no significant education-related disparity was found among rural women (p=0.126). Women (age, education, occupation, birth number, internet access, involvement in decision-making), household (husband's education, household wealth), health care (antenatal care visit) and community (place of residence, geographic region) factors are associated with overall adherence to IFAS. These factors influence the adherence to IFAS in a complex web of deep-seated socioeconomic inequalities. Thus, programs and interventions to improve adherence to IFAS should target women of reproductive age and their families, particularly those from socioeconomically disadvantaged groups residing in rural areas.

Socioeconomic inequalities in cervical cancer screening in sub-Saharan Africa: Decomposition analysis

Abstract Background Cervical cancer remains prevalent in sub-Saharan Africa (SSA). Despite global efforts to eliminate this disease, its incidence continues to rise due to barriers in screening, vaccination, and treatment access. While studies address access barriers, little has explored inequality, often limited to single countries. Here, we examine socioeconomic inequalities in cervical cancer screening in SSA. Methods Data from the Demographic and Health Surveys of 10 SSA countries was used for the analysis. We stratified the study by wealth index and educational attainment as a measure of socioeconomic status. Socioeconomic status inequalities in cervical cancer screening were constructed using concentration curves. We then computed the concentration index to quantify socioeconomic inequality. To examine the factors associated with high socioeconomic inequality in cervical cancer screening, a decomposition analysis was conducted. Results Concentration curves showed screening uptake skewed towards the wealthy and educated across all countries, reflected by positive concentration indices (CIX=0.21; p-value&amp;lt;0.0001) except in Burkina Faso and Mauritius. Decomposition analysis revealed significant positive concentration indices for women with complete secondary (CIX=0.74) and higher education (CIX=0.91), those in the richest wealth index (CIX=0.35), separated women (CIX=0.08), currently working women (CIX=0.02), as well as those who were exposed to reading newspaper/magazine (CIX=0.19), listening to radio (CIX=0.10), and watching TV (CIX=0.44). Conclusions Cervical cancer screening in SSA exhibits pro-rich and pro-higher educational inequalities. Urgent interventions are needed to restructure existing screening programs to prioritize accessibility and inclusion, particularly for women from poorer households and with a lower level of education. These findings are vital for policymakers and public health practitioners to address cervical cancer screening disparities in SSA. Key messages • Addressing socioeconomic inequalities in cervical cancer screening is crucial for improving public health in sub-Saharan Africa. • Combatting socioeconomic disparities in cervical cancer screening is critical for achieving health equity in sub-Saharan Africa.

Socioeconomic determinants of male contraceptive use in South Africa: a secondary analysis of the 2016 SADHS data

BackgroundHistorically, family planning discussions have predominantly centred on women, overlooking the crucial role men play in contraception. This is particularly concerning in regions like Sub-Saharan Africa (SSA), where reproductive health challenges are pronounced. South Africa, a key country within SSA, continues to grapple with issues such as high unintended pregnancy rates and increasing pregnancy-related mortality. Understanding the factors that deter male contraceptive use is essential for achieving universal access to sexual and reproductive health (SRH) services. This study investigates the socioeconomic disparities influencing male contraceptive use in South Africa, drawing on data from the 2016 South Africa Demographic Health Survey.MethodsThe study utilised data from the 2016 South African Demographic and Health Survey, which employed a stratified, two-stage sampling design across all provinces based on the 2011 Census. The survey focused on men aged 15–59 using the “Man’s Questionnaire.” Various socio-demographic and attitudinal variables were analysed using STATA 17. The analysis included multinomial logistic regression to identify determinants of male contraceptive use and the Erreygers Normalized Concentration Index to assess socioeconomic inequalities in contraceptive uptake.ResultsAmong the surveyed men, 47% reported not using any contraception, 40% used male methods, and 13% relied on their partners’ contraceptive use. A majority began sexual activity between the ages of 14–17 (54%), resided in urban areas (56%), were unmarried (67%), and had attained secondary education (70%). Notably, 78% disagreed that contraception is solely a woman’s responsibility, and 64% expressed positive attitudes toward contraception. Age, marital status, and education level emerged as significant factors influencing contraceptive use. The study revealed a slight pro-rich inequality in male contraception use, with socioeconomic status (SES) being the most significant contributor to this disparity (223.22%). This suggests that higher SES is associated with increased inequality in the adoption of modern male contraceptive methods.ConclusionThese findings highlight the impact of socioeconomic disparities and entrenched cultural beliefs on male contraceptive use in South Africa. To address these challenges, comprehensive strategies that prioritise education, expand family planning media campaigns and ensure equitable access to contraception are urgently needed.

Wealth-related inequality in vitamin A rich food consumption among children of age 6-23 months in Ethiopia; Wagstaff decomposition of the 2019 mini-DHS data.

Vitamin A (VA) cannot be made in the human body and thus foods rich in VA are the only sources of vitamin A for the body. However, ensuring availability in adequate amount of foods rich in VA remains a challenge, mainly in low-income counties including Ethiopia. In addition, children from the poorest and less educated families of same country have disproportionately limited consumptions of foods rich in VA. Therefore, the present study aimed assessing the wealth related inequality in vitamin A consumption (VAC) and decompose it to the various contributing factors. This study was conducted using the 2019 Ethiopian demographic and health survey data on a weighted sample of 1,497 children of age 6-23 months in Ethiopia. The wealth related inequality in VAC was quantified using concentration index and plotted using concentration curve. The Wagstaff decomposition analysis was performed to assess the relative contributions of each explanatory variable to the inequalities in the overall concentration index of VAC. The overall Wagstaff normalized concentration index (C) analyses of the wealth-related inequality in consumption of foods rich in VA among children aged 6-23 months was [C = 0.25; 95% C: 0.15, 0.35]. Further decomposition of the C by the explanatory variables reported the following contributions; primary level of women's education (7.2%), secondary and above (17.8%), having ANC visit during pregnancy (62.1%), delivery at a health institution (26.53%), living in the metropolis (13.7%), central region (34.2%), child age 18-23 months (4.7%) contributed to the observed wealth related inequality in the consumption of foods rich in vitamin A in Ethiopia. We found pro-rich wealth-related inequality in VAC among children of age 6-23 months in Ethiopia. Additionally, maternal education, region, ANC visit, and place of delivery were the significant contributors of wealth-related inequality of VAC. Nutritional related interventions should prioritise children from poorer households and less educated mothers. Moreover, enhancing access to ANC and health facilities delivery services through education, advocacy, and campaign programs is highly recommended in the study setting.

Socio-economic inequalities in health-related quality of life and the contribution of cognitive impairment in Australia: A decomposition analysis

BackgroundThe distributional effects of cognitive impairment on inequalities in health-related quality of life (HRQoL) are not well studied. This relationship has not been studied in any Australian health inequality literature. Therefore, this study aims to examine how cognitive impairment affects the distribution of HRQoL across various socio-economic classes amongst older Australians. MethodsData for this study was collected from the Household, Income and Labour Dynamics in Australia (HILDA) survey. The final analysis consisted of 5,247 and 5,614 unique individuals from wave 2012 and wave 2016, respectively. An ordinary least squares (OLS) regression model was used to investigate the relationship between cognitive impairment and HRQoL. Additionally, the Wagstaff-Doorslaer-Watanabe standard concentration index was used to examine socioeconomic inequality in HRQoL. ResultsThe findings revealed pro-rich inequalities in HRQoL, as indicated by the concentration indices of 0.029 and 0.025 for wave 12 and wave 16, respectively. Additionally, the results showed that mild cognitive impairment accounted for 7.60% and 9.03%, respectively, of pro-rich socioeconomic inequality in HRQoL in 2012 and 2016. ConclusionPeople from lower socioeconomic status (SES) groups tend to have lower HRQoL compared to those from higher SES. This leads to a greater disparity in HRQoL based on SES. Cognitive impairment positively contributed to this inequality in HRQoL. Therefore, it is critical to incorporate cognitive impairment into the design of interventions to reduce socioeconomic inequality in HRQoL.

Socioeconomic inequality in postnatal care utilisation among reproductive age women in sub-Saharan African countries with high maternal mortality: a decomposition analysis.

To assess the socioeconomic inequality in postnatal care (PNC) utilisation and its contributors among women in 14 sub-Saharan African countries with high maternal mortality. Community-based cross-sectional study using Demographic Health Survey SETTING: Africa countries with the highest maternal mortality ratio (14 countries) PARTICIPANTS: All women who had given birth within 2 years prior to the survey (n=64 912) PRIMARY OUTCOMES: Postnatal care utilisation RESULTS: The percentage of women who had PNC utilisation was lowest in Ethiopia (23.4%: 95% CI: 22.1%, 24.7%) and highest in The Gambia (91.5%: 95% CI: 90.6%, 92.4%). There was statistically significant pro-rich inequality in the PNC utilisation in all countries except Liberia, meaning PNC utilisation was disproportionately concentrated among women from wealthier households. The weighted Erreygers Normalized Concentration Index (ECI) ranged from 0.0398 in The Gambia to 0.476 in Nigeria; the second-highest inequality was in Cameroon (0.382), followed by Guinea (0.344). The decomposition analysis revealed that the wealth index was the largest contributor to inequality in PNC utilisation in seven countries: Benin, Burundi, The Gambia, Guinea, Nigeria, Sierra Leone, Tanzania. In contrast, educational status emerged as the primary contibutor in Cameroon and Zimbabwe, media exposure in Mali and Mauritania, and distance to healthcare facilities in Ethiopia. However, in Liberia, the weighted ECI of 0.0012 with a p value of 0.96 indicate that there is no significant socioeconomic inequality in PNC utilisation, suggesting that the distribution of PNC utilisation is almost equal across different socioeconomic groups. Our study revealed a pro-rich inequality in PNC utilisation across all included sub-Saharan African countries with high maternal mortality, except Liberia. This implies that PNC utilisation disproportionately favours the wealthy. Therefore, financially better-off women are more likely to utilise PNC services compared to those who are poor. Addressing the identified contributors of socioeconomic inequalities in PNC utilisation in each country remains crucial for achieving equity in PNC utilisation.

Inequity in the utilization of the home and community integrated healthcare and daily care services in older adults with limited mobility in China

BackgroundThis study aimed to analyze the needs and utilization of the home and community integrated healthcare and daily care services (“home and community care services” for short) among older adults in China and to investigate the inequity in services utilization.MethodsCross-sectional data were obtained from the 2018 China Health and Retirement Longitudinal Study. Needs and utilization rates of the home and community care services in older adults of 60 years old and above were analyzed. Binary logistic regression analysis was performed to explore the factors associated with services utilization among older adults with limited mobility. Concentration index, horizontal inequity index, and Theil index were used to analyze inequity in services utilization. Decomposition analyses of inequity indices were conducted to explain the contribution of different factors to the observed inequity.ResultsAbout 32.6% of older adults aged 60 years old and above had limited mobility in China in 2018, but only 18.5% of them used the home and community care services. Among the single service utilization, the highest using rate (15.5%) was from regular physical examination. Limited mobility, age group, income level, region, self-assessed health, and depression were statistically significant factors associated with utilization of any one type of the services. Concentration indices of any one type service utilization and regular physical examination utilization were both above 0.1, and the contribution of income to inequity were both over 60%. Intraregional factor contributed to about 90% inequity of utilizing any one type service, regular physical examination and onsite visit.ConclusionsThis current study showed that older adults with needs of home and community care services underused the services. Pro-rich inequities in services utilization were identified and income was the largest source of inequity. The difference of the home and community care service utilization was great among provinces but minor across regions. Policies to optimize resources allocation related to the home and community care services are needed to better satisfy the needs of older adults with limited mobility, especially in the low-income group and the central region.

Trends in resource allocation for primary health care in rural China: Concentration curve and decomposition analysis.

Since 2009, China has made large investments in strengthening the primary healthcare system. This study aimed to examine the trends in the number and distribution of health resources in rural China following the health system reform and to decompose the sources of inequalities. Data were collected from standardized reports compiled by each county in rural China and compiled by the National Health Commission and Bureau of Statistics. From the findings of this empirical study, resource allocation per capita for primary health care (PHC) improved gradually from 2008 to 2014. The distribution of beds across counties (ranked by level of economic development) was relatively equitable. However, the concentration curve analysis indicated that the distribution of primary care professionals remained skewed in favour of wealthier and more urbanised counties. Economic status was proved to be a major contributor to the inequality of health human resource. China's primary care reforms resulted in simultaneously improved supply of PHC resources as well as pro-rich inequality in distribution of the workforce. To advance equality in health resource allocation, greater attention should be paid to the substantial inequality of economic status within counties.

Inequalities in health care use among patients with arthritis in China: using Andersen’s Behavioral Model

BackgroundThis study sought to assess socioeconomic-related inequalities in health care use among arthritis patients in China and to analyze factors associated with this disparity.MethodsThis study used data from the 2018 China Health and Retirement Longitudinal Study. 3255 arthritis patients were included. The annual per capita household expenditure was used to divide individuals into five categories. We calculated actual, need-predicted, and need-standardized distributions of health care use by socioeconomic groups among people with arthritis. The concentration index (Cl) was used to assess inequalities in health service use. Influencing factors of inequalities were measured with the decomposition method.ResultsThe outpatient and inpatient service use rates among 3255 arthritis patients were 23.13% and 21.41%, respectively. The CIs for actual outpatient and inpatient services use were 0.0449 and 0.0985, respectively. The standardized CIs for both outpatient and inpatient services use increase (CI for outpatient services use = 0.0537; CI for inpatient services use = 0.1260), indicating the emergence of a significant pro-rich inequity. Annual per capita household expenditure was the chief positive contributor to inequity for both outpatient (104.45%) and inpatient services use (105.74%), followed by infrequently social interaction (22.60% for outpatient services use) and Urban Employee Basic Medical Insurance (UEBMI) (11.90% for inpatient services use). By contrast, UEBMI also provided a high negative contribution to outpatient services use (-15.99%).ConclusionsThere are significant pro-rich inequalities in outpatient and inpatient services use among patients with arthritis, which are exacerbated by widening economic gaps. Interventions to address inequalities should start by improving the economic situation of lower socioeconomic households.

Decomposing socioeconomic inequality in household out of pocket health expenditures in Pakistan (2010-11–2018-19)

BackgroundThe increased socioeconomic inequality in catastrophic health expenditure (CHE) disproportionately affects disadvantaged populations, subjecting them to financial hardships, limiting their access to healthcare, and exacerbating their vulnerability to morbidity.ObjectivesThis study examines changes in socioeconomic inequality related to CHE and analyzes the contributing factors responsible for these changes in Pakistan between 2010-11 and 2018-19.MethodsThis paper extracted the data on out-of-pocket health expenditures from the National Health Accounts for 2009-10 and 2017-18. Sociodemographic information was gathered from the Household Integrated Economic Surveys of 2010-11 and 2018-19. CHE was calculated using budget share and the ability-to-pay approaches. To assess socioeconomic inequality in CHE in 2010-11 and 2018-19, both generalized and standard concentration indices were used, and Wagstaff inequality decomposition analysis was employed to explore the causes of socioeconomic inequality in each year. Further, an Oaxaca-type decomposition was applied to assess changes in socioeconomic inequality in CHE over time.ResultsThe concentration index reveals that socioeconomic inequality in CHE decreased in 2018-19 compared to 2010-11 in Pakistan. Despite the reduction in inequality, CHE was concentrated among the poor in Pakistan in 2010-11 and 2018-19. The inequality decomposition analysis revealed that wealth status was the main cause of inequality in CHE over time. The upper wealth quantiles indicated a positive contribution, whereas lower quantiles showed a negative contribution to inequality in CHE. Furthermore, urban residence contributed to pro-rich inequality, whereas employed household heads, private healthcare provider, and inpatient healthcare utilization contributed to pro-poor inequality. A noticeable decline in socioeconomic inequality in CHE was observed between 2010 and 2018. However, inequality remained predominantly concentrated among the lower socio-economic strata.ConclusionThese results underscore the need to improve the outreach of subsidized healthcare and expand social safety nets.

To appreciate the influence of contributed determinants on dental care utilization in the context of socio-economic inequalities

BackgroundTo appreciate dental care utilization in ‌the context of socio-economic inequalities, it is imperative to identify sources of inequalities and evaluate the extent to which dental care utilization is still related to socio-economic status. This study aimed to quantify the influence of contributed determinants on dental care utilization in the context of socio-economic inequalities amongst adults residing in Tehran metropolis.MethodsIn this cross-sectional community-based study, a stratified random sample of 1,510 subjects aged over 18 years was investigated by the zero-inflated Poisson analysis to measure the effect of determinants on utilization of dental care, and concentration index as well as the decomposition approach to identify the contributions of deterministic variables to the socio-economic inequality. Data was obtained by employing a phone interview survey. Individuals who were not willing or able to answer the questions in the telephone interview due to hearing or neurological problems did not participate in the interview. Dental care utilization was measured using the number of dental appointments.ResultsGender (male), oral health-related behaviors (such as brushing and dental flossing), experience of toothache, and concern about dental appearance were associated with an increased likelihood of utilizing dental care. Individuals who belonged to advanced age groups and lived alone significantly underutilized dental care. The concentration index equaling 0.05 (SE = 0.05) corroborates a pro-rich inequality. Decomposition analysis demonstrated the impact of oral health-related behaviors (i.e. dental brushing and use of dental flossing), concern about dental appearance, toothache, gender (male), insurance coverage of dental care, and smoking habit on the poor-rich gap in the dental care utilization.ConclusionsThe influence of socio-economic inequalities on dental care utilization is discernable along the entire spectrum of socio-economic status. Individuals with lower socio-economic status experience more underutilization of dental care. Community subgroups, particularly the more deprived bracket, require consideration from key stakeholders, including policymakers and health professionals for the enhancement of dental care utilization as revealed by underlying determinants.

Population assessment of health system performance in 16 countries.

To demonstrate how the new internationally comparable instrument, the People's Voice Survey, can be used to contribute the perspective of the population in assessing health system performance in countries of all levels of income. We surveyed representative samples of populations in 16 low-, middle- and high-income countries on health-care utilization, experience and confidence during 2022-2023. We summarized and visualized data corresponding to the key domains of the World Health Organization universal health coverage framework for health system performance assessment. We examined correlation with per capita health spending by calculating Pearson coefficients, and within-country income-based inequities using the slope index of inequality. In the domain of care effectiveness, we found major gaps in health screenings and endorsement of public primary care. Only one in three respondents reported very good user experience during health visits, with lower proportions in low-income countries. Access to health care was rated highest of all domains; however, only half of the populations felt secure that they could access and afford high-quality care if they became ill. Populations rated the quality of private health systems higher than that of public health systems in most countries. Only half of respondents felt involved in decision-making (less in high-income countries). Within countries, we found statistically significant pro-rich inequalities across many indicators. Populations can provide vital information about the real-world function of health systems, complementing other system performance metrics. Population-wide surveys such as the People's Voice Survey should become part of regular health system performance assessments.

Measuring socioeconomic inequalities in postnatal health checks for newborns in Ethiopia: a decomposition analysis.

Addressing health inequity is a top priority for achieving sustainable development goals. The existing evidences in Ethiopia have shown that there are substantial inequalities in the use of health services among various socioeconomic strata. Therefore, the present study aimed to measure socioeconomic inequalities and the contributing factors in postnatal health checks for newborns in Ethiopia. We used a secondary data from the recent 2019 Ethiopia Mini Demographic and Health Survey dataset. The study includes a weighted sample of 2,105 women who gave birth in the 2 years preceding to the survey. The study participants were selected using two stage cluster sampling techniques. The socioeconomic inequality in postnatal health checks for newborns was measured using the Erreygers Normalized Concentration Index (ECI) and illustrated by the concentration curve. A decomposition analysis was done to identify factors contributing to the socioeconomic related inequality in postnatal health checks for newborns in Ethiopia. The concentration curve of postnatal health checks for newborns lay below the line of equality, and the Erreygers normalized concentration index was 0.133, with a standard error = 0.0333, and a p value <0.001; indicating that the postnatal health check for newborns was disproportionately concentrated among newborns with higher socioeconomic status. The decomposition analysis reported that antenatal care (ANC) visit (59.22%), household wealth index (34.43%), and educational level of the mother (8.58%) were the major contributors to the pro-rich socioeconomic inequalities in postnatal health checks for newborns. The finding revealed that there is a pro-rich inequality in postnatal health checks for newborns in Ethiopia. To reduce the observed socioeconomic health inequality, the government needs to improve ANC visits, implement strategies to access health service for economically disadvantaged groups, and increase educational attainment among women.

Socioeconomic deprivation, health and healthcare utilisation among millennials

This study estimates and decomposes components of different measures of inequality in health and healthcare use among millennial adolescents, a sizeable cohort of individuals at a critical stage of life. Administrative data from the UK Hospital Episode Statistics are linked to Next Steps, a survey collecting information about millennials born between 1989 and 1990, providing a uniquely comprehensive source of health and socioeconomic variables. Socioeconomic inequalities in psychological distress, long-term illness and the use of emergency and outpatient hospital care are measured using a corrected concentration index. Shapley-Shorrocks decomposition techniques are employed to measure the relative contributions of childhood socioeconomic circumstances to adolescents’ health and healthcare inequality of opportunity. Results show that income-related deprivation contributes to significant inequalities in mental and physical health among adolescents aged between 15 and 17 years old. There are also pro-rich inequalities in the use of specific outpatient hospital services (e.g., orthodontic and mental healthcare), while pro-poor disparities are found in the use of emergency care services. Regional and parental circumstances are leading factors in influencing inequality of opportunity in the use of hospital care among adolescents. These findings shed light on the main drivers of health inequalities during an important stage of human development and have potentially important implications on human capital formation across the life-cycle.

Subjective Well-Being Population Norms and Inequalities in Hungary: A Large Cross-Sectional, Internet-Based Survey

ObjectivesThis study aimed to provide subjective well-being (SWB) population norms in Hungary and explore the contribution of explanatory factors of SWB inequality among the Hungarian adult general population. MethodsThe data originated from a large representative internet-based cross-sectional survey in Hungary, which was conducted in 2020. We applied validated multi-item instruments for measuring SWB, namely Satisfaction With Life Scale (SWLS) and World Health Organization-Five Well-Being Index (WHO-5). Multiple linear regressions were used to examine the relationship between demographic-socioeconomic-health status and both well-being instruments. The concentration index (CI) was used to measure the degree of income-related inequality in well-being. ResultsA total of 2001 respondents were enrolled with the means ± SD WHO-5 scores and SWLS scores of 0.51 ± 0.21 and 0.51 ± 0.23, respectively. Higher household income, higher educational level, better general health status, and absence of chronic morbidity were significant positive predictors for both WHO-5 and SWLS scores. The CI of WHO-5 scores was lower than that of SWLS scores in the total sample (0.0480 vs 0.0861) and in subgroups by gender (male, 0.0584 vs 0.1035; female, 0.0302 vs 0.0726). The positive CI values implied a slight pro-rich SWB inequality in this population. The regression analyses showed a positive association of SWB with having a higher household income and a better general health status. ConclusionsThis is the first representative study in Hungary to compare population norm of 2 well-being instruments and analyze well-being inequality. Slight pro-rich inequality was found consistently with both SWB measures. Our findings support the need for health and social policies that effectively tackle inequalities in Hungary.