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

OBJECTIVES: This 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. METHODS: The 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. RESULTS: A 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. CONCLUSIONS: This 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.

Wealth-based disparities in the prevalence of short birth interval in India: insights from NFHS-5.

BACKGROUND: Short birth interval (SBI) has profound implications for the health of both mothers and children, yet there remains a notable dearth of studies addressing wealth-based inequality in SBI and its associated factors in India. This study aims to address this gap by investigating wealth-based disparities in SBI and identifying the underlying factors associated with SBI in India. METHODS: We used information on 109,439 women of reproductive age (15-49 years) from the fifth round of the National Family Health Survey (2019-21). We assessed wealth-based inequality in SBI for India and its states using the Erreygers Normalised Concentration Index (ECI). Additionally, we used a multilevel binary logistic regression to assess the factors associated with SBI in India. RESULTS: In India, the prevalence of SBI was 47.8% [95% CI: 47.4, 48.3] during 2019-21, with significant variation across states. Bihar reported the highest prevalence of SBI at 61.2%, while Sikkim the lowest at 18.1%. SBI prevalence was higher among poorer mothers compared to richer ones (Richest: 33.8% vs. Poorest: 52.9%). This wealth-based inequality was visible in the ECI as well (ECI= -0.13, p < 0.001). However, ECI varied considerably across the states. Gujarat, Punjab, and Manipur exhibited the highest levels of wealth-based inequality (ECI= -0.28, p < 0.001), whereas Kerala showed minimal wealth-based inequality (ECI= -0.01, p = 0.643). Multilevel logistic regression analysis identified several factors associated with SBI. Mothers aged 15-24 (OR: 12.01, p < 0.001) and 25-34 (2.92, < 0.001) were more likely to experience SBI. Women who married after age 25 (3.17, < 0.001) and those belonging to Scheduled Caste (1.18, < 0.001), Scheduled Tribes (1.14, < 0.001), and Other Backward Classes (1.12, < 0.001) also had higher odds of SBI. Additionally, the odds of SBI were higher among mothers in the poorest (1.97, < 0.001), poorer (1.73, < 0.001), middle (1.62, < 0.001), and richer (1.39, < 0.001) quintiles compared to the richest quintile. Women whose last child had passed away were also significantly more likely to have SBI (2.35, < 0.001). Furthermore, mothers from communities with lower average schooling levels (1.18, < 0.001) were more likely to have SBI. Geographically, mothers from eastern (0.67, < 0.001) and northeastern (0.44, < 0.001) regions of India were less likely to have SBI. CONCLUSION: The significant wealth-based inequality in SBI in India highlights the need for targeted interventions focusing on economically disadvantaged women, particularly in states with high SBI prevalence. Special attention should be given to younger mothers and those from socially disadvantaged groups to enhance maternal and child health outcomes across the country.

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

BACKGROUND: To 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. METHODS: In 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. RESULTS: Gender (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. CONCLUSIONS: The 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.

From office to digital primary care services: analysing income-related inequalities in utilization.

The use of digital technologies to deliver primary health care has increased over the past decade. While some technologies have been shown to be medically effective and efficient, the effects of digital primary care on the policy goal of equality in the use of such types of care have not been studied using large register data. The aim of this study was to analyse how digital contacts differ from officebased visits by income as an indicator of socioeconomic status. Specifically, we estimated differences in primary care utilization across income, factors of contribution to these inequalities, and applied a needs-based standardisation of utilization to estimate differences in equity.We used a purposively built consultation level dataset with 726 000 Swedish adult patients diagnosed with an infection, including clinical and sociodemographic variables. Applying concentration indexes (CI) and graphical illustrations we measured how the two types of services are distributed relative to income. We estimated how much of the inequalities were attributed to different sociodemographic factors by decomposing the concentration indexes. Standardised utilization for sex, age and comorbidity allowed for the estimation of horizontal inequity indexes for both types of services.Utilization by the two types of care showed large income inequalities. Office-based visits were propoor (CI -0.116), meaning lowincome patients utilized relatively more of these services, while digital contacts were prorich (CI 0.205). However, within the patient group who had at least one digital contact, the utilization was also propoor (CI -0,101), although these patients had higher incomes on average. The standardised utilization showed a smaller prorich digital utilization (CI 0.143), although large differences remained. Decomposing the concentration indexes showed that education level and being born in Sweden were strong attributes of prorich digital service utilization.The prorich utilization effects of digital primary care may risk undermining the policy goals of access and utilization to services regardless of socioeconomic status. As digital health technologies continue to expand, policy makers need to be aware of the risk.

Willingness and influencing factors of old-age care mode selection among middle-aged and older adults in Henan Province, China.

BACKGROUND: The choice of old-age care methods or places plays an important role in improving the quality of life and well-being of older adults. This study aimed to analyze the choices of various old-age care modes (OCMs) among middle-aged and older adults (MOA) aged 40 years and older in Henan Province, China, and to explore the influence of personal health status, perspectives on old-age (POA) and external support received on their choices. METHODS: This study analyzed the data from the previous survey which included 911 MOA. The mean comparison method was used to analyze the evaluation of MOA prior to selecting OCMs, and the effect of individual characteristics, external support received, and personal health status on the choice of OCM for MOA was assessed by Logistic regression (LR) and Concentration Index. The Mediation Effect Model was used to explore effect manner and scope of MOA' POA in their choice of OCM. RESULTS: The overall scores for MOA on the choice of the home-based, community-family, retirement village, nursing homes OCM were 4.06 ± 0.81, 3.70 ± 0.88, 3.72 ± 0.90, 3.49 ± 0.97, respectively. The LR model indicated that education level, number of children, relationship between family members and the relationship with neighbors affected the choice of OCM for MOA (P < 0.05). Difference in OCM selection was relatively the largest based on the individual's POA (Concentration index = -0.0895 ~ -0.0606), and it was shown to play a mediating role in other factors influencing the choice of OCM for MOA (Mediation effect = -0.002 ~ 0.013). CONCLUSIONS: The evaluation of MOA on choosing a non-home OCM was generally, and the number of children and external support received were shown to have a relatively substantial impact on the choice of OCM among MOA, however, their power was affected by MOA' POA. Policy makers could encourage the MOA' selection of non-home OCM by improving the relationship among MOA persons while positively transforming their POA.

Socioeconomic inequalities in type 2 diabetes mellitus: a study based on a population-based survey in Iran.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is the most prevalent form of Diabetes Mellitus (DM), with social and economic determinants significantly influencing its prevalence. This study aimed to analyze the socioeconomic inequalities associated with T2DM in Iran. METHODS: Data from an observational survey in Iran, titled "Diabetes Care (DiaCare)," were utilized for this study. Socioeconomic inequalities were assessed through variables including Hemoglobin A1C (HbA1c), Fasting Blood Glucose (FBG), and Triple target (HbA1c, blood pressure, LDL-C), using concentration indices (CIs) and a multivariate logistic regression analysis. Individual socioeconomic status (SES) was determined by calculating an asset index using principle component analysis (PCA) based on their properties. Data analysis was conducted using STATA software version 14. RESULTS: A total of 13,321 participants were included in the study. The CIs were significantly positive for controlled HbA1c (0.0324) and triple target (0.1067), while for controlled FBG, it was 0.0125, although not significant. Among females, the CIs were significantly positive for controlled HbA1c (0.0745), FBG (0.0367), and triple target (0.209). Additionally, in the 45-55 and 65-75 age groups, the CIs were significantly positive for controlled HbA1c (0.0607) and FBG (0.0708), respectively. This index was significant for controlled Triple target in the 35-45 (0.376) and 65-75 (0.124) age groups. The CI for controlled FBG was significant in rural dwellers (-0.044) while the concentration of controlled triple target was significant in urban dwellers (0.0967). Controlled HbA1c showed significant concentration in both urban (0.0306) and rural (-0.0576) dwellers. Furthermore, the CIs were significant for controlled HbA1c in regions with medium prevalence (0.0534) and FBG in regions with low prevalence (-0.0277). This index was significantly positive for controlled triple target in regions with high prevalence (0.124). CONCLUSIONS: Diabetes care is more concentrated among individuals with higher SES. Policymakers should consider this to mitigate the inequality and alleviate the burden of T2DM.

Decomposition analysis on the equity of health examination utilization for the middle-aged and elderly people in China: based on longitudinal CHARLS data from 2011 to 2018.

BACKGROUND: This study aimed to investigate the utilization rate and equity of health examination service among the middle-aged and elderly population in China from 2011 to 2018. The contribution of various determinants to the inequity in health examination service utilization was also examined. METHODS: Data from the China Health and Retirement Longitudinal Survey (CHARLS) were analyzed to assess the health examination service utilization rate among the middle-aged and elderly population. A concentration curve and concentration index were employed to measure the equity of health examination service utilization and decomposed into its determining factors. Horizontal inequity index was applied to evaluate the trends in equity of health examination service. RESULTS: The health examination service utilization rates among the middle-aged and elderly population were 29.45%, 20.69%, 25.40%, and 32.05% in 2011, 2013, 2015, and 2018, respectively. The concentration indexes for health examination service utilization were 0.0080 (95% CI: - 0.0084, 0.0244), 0.0155 (95% CI: - 0.0054, 0.0363), 0.0095 (95% CI: - 0.0088, 0.0277), and - 0.0100 (95% CI: - 0.0254, 0.0054) from 2011 to 2018, respectively. The horizontal inequity index was positive from 2011 to 2018, evidencing a pro-rich inequity trend. Age, residence, education, region, and economic status were the major identified contributors influencing the equity of health examination service utilization. CONCLUSIONS: A pro-rich inequity existed in health examination service utilization among the middle-aged and elderly population in China. Reducing the wealth and regional gap, providing equal educational opportunities, and strengthening the capacity for chronic disease prevention and control are crucial for reducing the inequity in health examination service utilization.

Inpatient healthcare utilization among people with disabilities in Iran: determinants and inequality patterns.

BACKGROUND: People with disabilities (PWD) have different health service needs and different factors affect the utilization of these services. Therefore, the aim of this present study was to identify determinants of inpatient healthcare utilization among PWDs in Iran. METHODS: This research was a secondary data analysis of a cross-sectional study. The present study used data gathered for 766 PWDs (aged 18 years and older) within the Iranian Society with Disabilities (ISD) between September and December 2020. Multiple logistic regression models calculated adjusted odds ratios (aOR) and 95% confidence intervals in order to identify determinants of inpatient healthcare utilization among PWDs. RESULTS: Data for 766 people with disabilities were analyzed. A large number of participants were over 28 years of age (70.94%), male (64.36%), and single (54.02%). In the present study, more than 71% of participants had no history of hospitalization during the last year. In this study, males [aOR 2.11(1.14-3.91), participants with Civil Servants health insurance coverage [aOR 3.44 (1.16 - 10.17)] and individuals in the 3th quartile of disability severity [aOR 2.13 (1.01 - 4.51)] had greater odds of inpatient healthcare utilization compared to the other groups. The value of the concentration index (C) for inpatient healthcare utilization was - 0.084 (P.value = 0.046). The decomposition analysis indicated that gender was the greatest contributor (21.92%) to the observed inequality in inpatient healthcare utilization among participants. CONCLUSION: Our findings suggested that the likelihood of hospitalization among the study participants could be significantly influenced by factors such as gender, the health insurance scheme, and the degree of disability severity. These results underscore the imperative for enhanced access to outpatient services, affordable insurance coverage, and reduced healthcare expenditures for this vulnerable population. Addressing these issues has the potential to mitigate the burden of hospitalization and promote better health outcomes for disadvantaged individuals.

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

BACKGROUND: The 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. OBJECTIVES: This 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. METHODS: This 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. RESULTS: The 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. CONCLUSION: These results underscore the need to improve the outreach of subsidized healthcare and expand social safety nets.

Socioeconomic gradient in functional difficulties by domain among youth: evidence from Egypt.

This study aims to measure inequalities in the distribution of functional difficulties and their different domains among youth aged 15-29 years in Egypt, according to selected socioeconomic characteristics (e.g. wealth quantiles and education level of the head of the household). The data come from the nationally representative survey, 'Household Observatory Survey', with 10,405 persons aged 15-29 years representing the study sample population. The survey identifies individuals with disabilities using the Washington Group Short questions. Inequalities in disability distribution have been measured by the concentration index (CI). The results indicate that functional difficulties have been concentrated among the poorest youth and households headed by illiterate persons. Rural areas have the highest concentration of disabilities among youth, with the lowest wealth and the lowest educational level of the head of the household. The CI suggests the existence of socioeconomic inequalities in all functional difficulties except for seeing difficulties. Understanding which factors more substantially contribute to inequalities is critical for advancing policies devoted to enhancing the quality of life for individuals with disabilities.

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.

Evaluation Health Risks and Sorption of Hexavalent Chromium (Cr(VI) by Biochar and Iron Doped Zinc Oxide Modified Biochar (Fe-ZnO@BC) Using Trifolium: A Green Synthesis Technique.

Contamination of aquatic and terrestrial environment with hexavalent chromium Cr(VI) is one of the major hazards worldwide due its carcinogenicity, persistency and immobility. Different research techniques have been adopted for Cr(VI) remediation present in terrestrial and aquatic media, while adsorption being the most advance, low cost, environmentally friendly and common method. The present study discussed the mechanisms of Parthenium hysterophorus derived biochar, iron-doped zinc oxide nanoparticles (nFe-ZnO) and Fe-ZnO modified biochar (Fe-ZnO@BC) involved in Cr(VI) mobility and bioavailability. Pot experiments were conducted to study the effect of Parthenium hysterophorus derived biochar, nFe-ZnO and Fe-ZnO@BC application rates (2%, 2 mg/kg, 10 mg/kg, respectively). The results indicated that the addition of soil amendments reduced Cr(VI) mobility. The findings revealed that the reduction in chromium mobility was observed by P. hysterophorus BC, and Fe-ZnO@BC but nFe-ZnO application significantly (p = 0.05) reduced Cr(VI) and CrT uptake as compared to the control treatments. The results of SEM coupled with EDS showed a high micropores and channel, smooth surface which helped in adsorption, and may enhance soil conditions. The concentration index (CI) by different amendments in trifolium plant was followed the descending order as: nFe-ZnO > Fe-ZnO@BC > P. hysterophorus BC after 30, 60 and 90 days of harvesting, respectively. In addition, human health risk index was found less than one (H1 < 1.0) in amended soils as compared to control treatments.

Decomposition Analysis of Socioeconomic Inequalities in Utilization of Oral Health Services: A Population-Based Study in Urban and Rural Households of Ahvaz.

Background: Inequality in the use of dental services is a primary concern of global health, and few studies have been done in this field in Iran. Therefore, the present study aimed to conduct a decomposition analysis of socioeconomic inequalities in the utilization of oral health services. Methods: This was a cross-sectional study in which 715 households, including 2680 people living in Ahvaz, were included using a stratified-cluster sampling. Data were collected using a questionnaire. For data analysis and estimating the elasticity of the influencing factors, the logistic model and Stata software were used. The social and economic disparities in oral health variables were broken down into determinant components using the Van Doorslaer and Wagstaff technique. Results: The key factors determining social and economic inequalities in the utilization of these services were insurance status, education level, income quintile, and occupation. Nearly 31% of utilization inequalities can be attributed to the insurance status of households. In addition, the education level of household members (about 28%) was the second factor of inequality. The variables of income quintile and occupation are also considered as the third factor, and the age of household members had a negative role in the socioeconomic inequality. Conclusion: The utilization of oral health services can be improved by improving economic and social variables in society. Therefore, including oral health services in insurance plans and primary health care services and supporting people with low-income levels can play an important role in reducing these inequalities.

People with Disabilities and Financial Challenges in Access to Rehabilitation Services: Evidence of Socioeconomic Inequality in Iran.

Background: People with disabilities (PWD) typically face a range of obstacles when accessing healthcare, particularly when compared with the general population. This challenge becomes more pronounced for PWDs in lower socioeconomic groups. This study aimed to assess the socioeconomic-related disparity in financial access to rehabilitation services among Iranian PWDS. Methods: A total of 766 Iranian PWDs aged ≥18 years participated in this cross-sectional study. We employed the concentration index (C) to estimate socioeconomic inequality in accessing rehabilitation services. Results: In this study, 766 Iranian adults aged 18 to 70 took part, with a mean age of 36.50 (SD, ±10.02) years. The findings revealed that 72.15% (n = 469) of participants had to borrow money to cover the costs of rehabilitation services. The concentration index (C = -0.228, P = 0.004) demonstrated a notable concentration of inadequate financial access to rehabilitation services among individuals with lower socioeconomic status (SES). Decomposition analysis identified the wealth index as the primary contributor to the observed socioeconomic disparities, accounting for 309.48%. Conclusion: Our findings show that socioeconomic inequalities disproportionately impact PWDs in lower socioeconomic groups. It is recommended that efforts be made to enhance the national capacity for monitoring the financial protection of PWDs and to develop equitable mechanisms that promote prepayment and risk pooling, thus reducing reliance on out-of-pocket payments at the time of service utilization.

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

BACKGROUND: Thailand'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. METHODS: Data 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. RESULTS: Findings 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. CONCLUSIONS: Older 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.

Horizontal inequity trends of health care utilization in rural China after the medicine and healthcare system reform: based on longitudinal data from 2010 to 2018.

BACKGROUND: To assess the effectiveness of China's medicine and health care reform in promoting equity in health care utilization among rural residents, it is necessary to analyze temporal trends in equity in health care utilization among rural residents in China. This study is the first to assess horizontal inequity trends in health care utilization among rural Chinese residents from 2010 to 2018 and provides evidence for improving government health policies. METHODS: Longitudinal data obtained from China Family Panel Studies from 2010 to 2018 were used to determine trends in outpatient and inpatient utilization. Concentration index, concentration curve, and horizontal inequity index were calculated to measure inequalities. Decomposition analysis was applied to measure the contribution of need and non-need factors to the unfairness. RESULTS: From 2010 to 2018, outpatient utilization among rural residents increased by 35.10%, while inpatient utilization increased by 80.68%. Concentration indices for health care utilization were negative in all years. In 2012, there was an increase in the concentration index for outpatient utilization (CI = -0.0219). The concentration index for inpatient utilization decreased from -0.0478 in 2010 to -0.0888 in 2018. Except for outpatient utilization in 2012 (HI = 0.0214), horizontal inequity indices for outpatient utilization were negative in all years. The horizontal inequity index for inpatient utilization was highest in 2010 (HI = -0.0068) and lowest in 2018 (HI = -0.0303). The contribution of need factors to the inequity exceeded 50% in all years. CONCLUSIONS: Between 2010 and 2018, low-income groups in rural China used more health services. This seemingly pro-poor income-related inequality was due in large part to the greater health care need among low-income groups. Government policies aimed at increasing access to health services, particularly primary health care had helped to make health care utilization in rural China more equitable. It is necessary to design better health policies for disadvantaged groups to reduce future inequities in the use of health services by rural populations.

Income-related equity in inpatient care utilization and unmet needs between 2013 and 2018 in Tibet, China.

BACKGROUND: Providing equitable access to health care for all populations is an important sustainable development goal. China has made significant progress in achieving equity in healthcare utilization. However, research on equity in healthcare utilization in Tibet is sparse. This study aims to evaluate changes in income-related inequity in inpatient care utilization and unmet needs between 2013 and 2018 among the Tibetan population and identify the inequity source. METHODS: Data for this cross-sectional study were obtained from the fifth and sixth waves of the National Health Services Survey in 2013 and 2018. After excluding observations with missing values for key variables, 11,092 and 10,397 respondents were included in this study, respectively. The outcome variables of interest were inpatient service utilization and unmet hospitalization needs. The concentration index and horizontal inequity index (HI) were used to assess income-related inequity. Non-linear decompositions were performed to identify the main contributors to inequity. In the decomposition method, need variables included sex, age, chronic diseases, and the EuroQol-Visual Analog Scale; non-need variables consisted of income, education, employment status, marital status, and health insurance schemes. RESULTS: The probability of inpatient care utilization increased from 6.40% in 2013 to 8.50% in 2018. The HI for inpatient care utilization was 0.19 (P < 0.001) in 2013, whereas it decreased to 0.07 (P < 0.001) in 2018. The contribution of income to inequity in inpatient care utilization decreased from 87.09% in 2013 to 59.79% in 2018. As for unmet inpatient care needs, although its probability increased from 0.76 to 1.48%, the percentage of reasons for financial hardship decreased from 47.62 to 28.57%. The HI for unmet hospitalization need was - 0.07 in 2013 and - 0.05 in 2018, and neither was statistically significant. The New Rural Cooperative Medical Scheme made majority contributions to promote equity in unmet hospitalization need. Moreover, the female respondents reporting low EuroQol-Visual Analog Scale scores and patients with chronic disease were not only more likely to seek for inpatient care, but also have more unmet need than the reference groups. CONCLUSIONS: The inequity in inpatient care utilization in Tibet narrowed from 2013 to 2018, and there was no inequity in unmet hospitalization needs in 2013 and 2018. Income and the New Rural Cooperative Medical Scheme are the main drivers of equity promotion. To promote access to inpatient care utilization and decrease the probability of unmet hospitalization need in future, policymakers should target high-need residents in Tibet to improve accessibility, availability, and acceptability.

Temporal trends in inequalities of the burden of cardiovascular disease across 186 countries and territories.

BACKGROUND: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality globally. The extent to which CVD affects the population's health varies across countries. Moreover, quantitative estimates of the trend of inequalities in CVD burden remain unclear. The objective of our study was to assess the socioeconomic inequalities and temporal trends of CVD burden across 186 countries and territories from 2000 to 2019. METHODS: We extracted data from the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019, and conducted a cross-national time-series analysis. Age-standardized disability-adjusted life-year (DALY) rates were used to measure the burden of CVDs, and gross national income (GNI) per capita was used to approximate the socioeconomic development. Concentration curves and concentration indexes (CIs) were generated to evaluate the cross-national socioeconomic inequality of CVD burden. A joinpoint regression analysis was used to quantify the changes in trends in socioeconomic inequality of CVD burden from 2000 to 2019. RESULTS: The age-standardized DALY rates of CVDs decreased in 170 (91%) of 186 countries from 2000 to 2019. The concentration curves of the age-standardized DALY rates of CVDs were above the equality line from 2000 to 2019, indicating a disproportional distribution of CVD burden in low-income countries. The CIs declined from - 0.091 (95% CI: -0.128 to - 0.054) in 2000 to - 0.151 (95% CI: -0.190 to - 0.112) in 2019, indicating worsened pro-poor inequality distributions of CVD burden worldwide. A four-phase trend of changes in the CIs of age-standardized DALY rates for CVD was observed from 2000 to 2019, with an average annual percentage change (AAPC) of - 2.7% (95% CI: -3.0 to - 2.4). Decreasing trends in CIs were observed in all CVD subcategories but endocarditis, with AAPC ranging from - 6.6% (95% CI: -7.3 to - 5.9) for ischemic heart disease to - 0.2% (95% CI: -0.4 to - 0.1) for hypertensive heart disease. CONCLUSIONS: Globally, the burden of CVD has decreased in more than 90% of countries over the past two decades, accompanied by an increasing trend of cross-country inequalities. Moreover, the overall burden of CVD continues to fall primarily on low-income countries.

Spatiotemporal change in socioeconomic inequality in hygienic menstrual product use among adolescent girls in India during 2015-2019.

BACKGROUND: The use of hygienic products, such as sanitary napkins, tampons, and menstrual cups, to absorb menstrual blood is vital for the health and well-being of adolescent girls in India. However, the degree of inequity in the use of such products among this subpopulation remains inadequately explored. To fill this critical knowledge gap, this study aims to investigate the spatiotemporal dynamics of hygienic product use among adolescent girls in India from 2015 to 2020. METHODS: In this cross-sectional study, we analyzed data from 117,749 to 114,839 adolescent girls aged 15-19, obtained from two consecutive rounds of the National Family Health Survey (NFHS) conducted in India during 2015-16 and 2019-21. Our approach involved utilizing Erreygers' Concentration Index (ECI) and Concentration Curve to quantitatively assess and visually represent socioeconomic inequality in hygienic product usage. Additionally, we investigated the spatiotemporal variation in this inequality over the study period and decomposed the ECI to identify the key contributing factors. RESULTS: The findings reveal that hygienic product usage among adolescent girls in India has increased by 13 percentage points (PP), from 37% in 2015-16 to 50% in 2019-21. This increase is also visible across all household wealth quintiles. However, the bottom quintiles experienced a greater rise (+ 15 to 16 PP) than the top quintile (+ 8 PP). During the study period, the ECI reduced marginally, from 0.48 in 2015-16 to 0.43 in 2019-21. However, the extent of this reduction varied across different states. The greatest reduction in ECI was recorded in Punjab (-0.23 points), Telangana (-0.16 points), and West Bengal (-0.14 points). In contrast, there were a number of states with high socioeconomic inequality (ECI > 0.30) in 2015-16, where inequality reduction was minimal (< 0.05 points) over the study period. This included more developed states of Kerala, Karnataka, Maharashtra and Gujarat and relatively less developed states of Odisha, Jharkhand, Chhattisgarh, Uttar Pradesh, and Assam. Some states, such as Bihar and Madhya Pradesh, recorded an increase in socioeconomic inequality over the study period, with ECI rising to 0.31 and 0.46 (highest in the country) in 2019-21. The decomposition analysis revealed that the inequality in using hygienic products was primarily explained by place of residence, exposure to mass-media, education, and region of residence. CONCLUSIONS: The findings suggest the need for targeted policies to reduce existing socioeconomic inequality in the usage of hygienic products among adolescent girls in India. Specifically, interventions should target regions with low use of hygienic products, economically disadvantaged groups, and poor and vulnerable populations. State-specific policies and programs are also necessary to address the disparities in socioeconomic inequality. Additionally, efforts to reduce inequality should address the underlying factors contributing to inequality.

Back to basics: A mediation analysis approach to addressing the fundamental questions of integrated care evaluations.

Health systems around the world are aiming to improve the integration of health and social care services to deliver better care for patients. Existing evaluations have focused exclusively on the impact of care integration on health outcomes and found little effect. That suggests the need to take a step back and ask whether integrated care programmes actually lead to greater clinical integration of care and indeed whether greater integration is associated with improved health outcomes. We propose a mediation analysis approach to address these two fundamental questions when evaluating integrated care programmes. We illustrate our approach by re-examining the impact of an English integrated care program on clinical integration and assessing whether greater integration is causally associated with fewer admissions for ambulatory care sensitive conditions. We measure clinical integration using a concentration index of outpatient referrals at the general practice level. While we find that the scheme increased integration of primary and secondary care, clinical integration did not mediate a decrease in unplanned hospital admissions. Our analysis emphasizes the need to better understand the hypothesized causal impact of integration on health outcomes and demonstrates how mediation analysis can inform future evaluations and program design.