The determinants of mental health inequalities between Chinese migrants and non-migrants during the Shanghai 2022 lockdown: a Blinder-Oaxaca decomposition.

BACKGROUND: The mental health inequality between migrants and non-migrants was exacerbated by the COVID-19 pandemic. Identifying key determinants of this inequality is essential in promoting health equity. METHODS: This cross-sectional study recruited Shanghai residents by purposive sampling during the city-wide lockdown (from April 29 to June 1, 2022) using an online questionnaire. Migration statuses (non-migrants, permanent migrants, and temporary migrants) were identified by migration experience and by household registration in Shanghai. Mental health symptoms (depression, anxiety, loneliness, and problematic anger) were assessed by self-report scales. The nonlinear Blinder-Oaxaca decomposition was used to quantify mental health inequality (i.e., differences in predicted probabilities between migration groups) and the contribution of expected correlates (i.e., change in predicted probability associated with variation in the correlate divided by the group difference). RESULTS: The study included 2738 participants (771 [28.2%] non-migrants; 389 [14.2%] permanent migrants; 1578 [57.6%] temporary migrants). We found inequalities in depression (7.1%) and problematic anger (7.8%) between permanent migrants and non-migrants, and inequalities in anxiety (7.3%) and loneliness (11.3%) between temporary migrants and non-migrants. When comparing permanent migrants and non-migrants, age and social capital explained 12.7% and 17.1% of the inequality in depression, and 13.3% and 21.4% of the inequality in problematic anger. Between temporary migrants and non-migrants, age and social capital also significantly contributed to anxiety inequality (23.0% and 18.2%) and loneliness inequality (26.5% and 16.3%), while monthly household income (20.4%) and loss of monthly household income (34.0%) contributed the most to anxiety inequality. CONCLUSIONS: Significant inequalities in depression and problematic anger among permanent migrants and inequalities in anxiety and loneliness among temporary migrants were observed. Strengthening social capital and economic security can aid in public health emergency preparedness and promote mental health equity among migrant populations.

Why is there a gap in self-rated health among people with hypertension in Zambia? A decomposition of determinants and rural‒urban differences.

BACKGROUND: Hypertension affects over one billion people globally and is one of the leading causes of premature death. Low- and middle-income countries, especially the sub-Saharan Africa region, bear a disproportionately higher share of hypertension globally. Recent evidence shows a steady shift in the burden of hypertension from more affluent and urban populations towards poorer and rural communities. Our study examined inequalities in self-rated health (SRH) among people with hypertension and whether there is a rural‒urban gap in the health of these patients. We then quantified factors driving the health gap. We also examined how much HIV accounts for differences in self-rated health among hypertension patients due to the relationship between HIV, hypertension and health in sub-Saharan Africa. METHODS: We utilized the Zambia Household Health Expenditure and Utilization Survey for data on SRH and other demographic and socioeconomic controls. District HIV prevalence information was from the Zambia Population-Based HIV Impact Assessment (ZAMPHIA) survey. We applied the Linear Probability Model to assess the association between self-rated health and independent variables as a preliminary step. We then used the Blinder-Oaxaca decomposition to identify self-rated health inequality between urban and rural patients and determine determinants of the health gap between the two groups. RESULTS: Advanced age, lower education and low district HIV prevalence were significantly associated with poor health rating among hypertension patients. The decomposition analysis indicated that 45.5% of urban patients and 36.9% of rural patients reported good self-rated health, representing a statistically significant health gap of 8.6%. Most of the identified health gap can be attributed to endowment effects, with education (73.6%), district HIV prevalence (30.8%) and household expenditure (4.8%) being the most important determinants that explain the health gap. CONCLUSIONS: Urban hypertension patients have better SRH than rural patients in Zambia. Education, district HIV prevalence and household expenditure were the most important determinants of the health gap between rural and urban hypertension patients. Policies aimed at promoting educational interventions, improving access to financial resources and strengthening hypertension health services, especially in rural areas, can significantly improve the health of rural patients, and potentially reduce health inequalities between the two regions.

Rural-urban disparities in postpartum contraceptive use among women in Nigeria: a Blinder-Oaxaca decomposition analysis.

BACKGROUND: Unintended pregnancies are a global public health concern that could be prevented with appropriate access to contraceptive methods. Evidence from research has indicated that avoidance of closely space birth/pregnancy within the first year of postpartum, mitigates the risk of adverse health outcomes such as preterm birth, low birth-weight, etc. Postpartum family planning helps women to minimize closely spaced and unplanned pregnancies within the first 12 months after delivery. Less contraceptive use is often present in more socially disadvantaged groups. Studies from Nigeria have shown a persistent disparity on contraceptive use between rural and urban residents. To identify the factors explaining these inequalities is important to implement targeted interventions. This study aimed to identify the factors contributing to the rural-urban disparity in postpartum contraceptive use among women in Nigeria. METHODS: This is a cross-sectional study using the Nigerian Demographic Health Survey. In total, 28,041 postpartum Nigerian women were included. Self-reported contraceptive use was the outcome, while the selected explanatory variables were grouped according to three theoretical perspectives: materialistic, behavioural/cultural, and psychosocial variables. Descriptive statistics and Blinder-Oaxaca decomposition were used to summarize and identify the factors contributing to the rural-urban disparity in postpartum contraceptive use. RESULTS: In this study, 27% of women reported to have used contraceptives during the postpartum period. The rural-urban disparity in postpartum contraceptive use accounted for 18.2 percentage points. The findings further showed that the disparities in postpartum contraceptive use between rural-urban residence were mostly explained by materialistic variables (82%), followed by the behavioural/cultural variables and age (included as covariate) accounting for 15.6 and 3.0%, respectively. Household wealth (37%) and educational attainment (38%) had the most significant contribution to the differences in postpartum contraceptive use. Only 15% of the difference in postpartum contraceptive use remained unexplained. CONCLUSION: This study has shown important inequalities in postpartum contraceptive use between rural and urban residents in Nigeria. These differences were mainly explained by materialistic factors. These findings highlight crucial areas for the government to target in order to close the existing gap between rural and urban settings in contraceptive use in the country.

Assessing the inequality in out-of-pocket health expenditure among the chronically and non-chronically ill in Saudi Arabia: a Blinder-Oaxaca decomposition analysis.

BACKGROUND: Many high-income countries have made significant progress towards achieving universal health coverage. Nevertheless, out-of-pocket (OOP) health expenditure continues to undermine the effectiveness of the universal healthcare system. In Saudi Arabia, due to the overburdened free public health services, many people opt for alternative healthcare services, risking high OOP payments. The presence of chronic illness further exacerbates this situation. However, there is limited evidence on the extent of the gap in OOP health expenditure between the chronically and non-chronically ill and the associated drivers contributing to this gap. The aim of this study was to assess inequalities in relative OOP health expenditure, estimated as the percentage of income spent on healthcare, between the chronically and non-chronically ill in Saudi Arabia and their associated drivers. METHODS: Data from 10,785 respondents were obtained from a national cross-sectional survey conducted in Saudi Arabia as part of the 2018 Family Health Survey. Inequalities in relative OOP health expenditure were measured using concentration indices and curves. A Blinder-Oaxaca decomposition analysis was used to assess the differences in relative OOP health expenditure between the chronically and non-chronically ill. RESULTS: The results showed that the chronically ill experience a higher financial burden due to healthcare services in absolute costs and relative to their income compared to the non-chronically ill. In addition, there was higher pro-poor inequality (-0.1985) in relative OOP health expenditure among the chronically ill compared to that (-0.1195) among the non-chronically ill. There was a 2.6% gap in relative OOP health expenditure among the chronically and non-chronically ill, of which 53.8% was attributable to unexplained factors, with explained factors accounting for the 46.2% difference. Factors that significantly contributed to the overall gap (i.e. both explained and non-explained factors) included employment status, insurance status, self-rated health, and periodic check-ups. CONCLUSION: This study underscores the high financial burden due to OOP payments among the chronically ill and the existence of pro-poor inequalities. In addition, there is a significant gap in relative OOP health expenditure between the chronically and non-chronically ill, which is mainly attributable to differences in socio-economic characteristics. This indicates that the existing financial mechanisms have not been sufficient in cushioning the chronically ill and less well off in Saudi Arabia. This situation calls for health policymakers to integrate a social safety net into the health financing system and to prioritize the disadvantaged population, thereby ensuring access to health services without experiencing financial hardship.

Poor and non-poor gap in under-five child nutrition: a case from Nepal using Blinder-Oaxaca decomposition approach.

INTRODUCTION: Many low-and middle-income countries (LMICs) have improved health indicators in the past decades, however, there is a differential in outcomes between socioeconomic groups. Systematic analysis of drivers of child nutrition gap between non-poor and poor groups has a policy relevance in Nepal and other countries to make progress towards universal health coverage (UHC). The objective of this paper was to estimate the mean height-for-age z scores (HAZ) gap between under-five children belonging to non-poor and poor groups, divide the gap into components (endowments, coefficients and interaction), and identify the factors that contributed most to each of the component. METHODS: Information about 6277 under-five children was extracted from the most recent nationally representative Nepal Multiple Indicator Cluster Survey (MICS) 2019. HAZ was used to assess nutritional status of children. Wealth index was used to categorize children into non-poor and poor. Mean HAZ gap between groups was decomposed using Blinder-Oaxaca technique into components: endowments (group difference in levels of predictors), coefficients (group difference in effects of predictors), and interaction (group difference due to interaction between levels and effects of predictors). Detailed decomposition was carried out to identify the factors that contributed most to each component. RESULTS: There was a significant non-poor and poor gap in nutrition outcome measured in HAZ (0.447; p < 0.001) among under-five children in Nepal. The between-group mean differences in the predictors of study participants (endowments) contributed 0.210 (47%) to the gap. Similarly, the between-group differences in effects of the predictors (coefficients) contributed 0.308 (68.8%) towards the gap. The interaction contributed -0.071 (15.8%) towards minimizing the gap. The predictors/variables that contributed most towards the gap due to (i) endowments were: maternal education, province (Karnali, Sudurpaschim, Madhesh), residence (rural/urban), type of toilet facility and ethnic group (Dalit and Muslim); (ii) coefficients were: number of under-five children in family, ethnic group (Dalit and Muslim), type of toilet facility, maternal age and education. CONCLUSION: Decomposition of the child nutrition gap revealed that narrowing the inequality between wealth groups depends not only on improving the level of the predictors (endowments) in the poor group but also on reducing differential effects of the predictors (coefficients).

The gender gap in access to finance: Evidence from the COVID-19 pandemic.

Using gender as a theoretical framework, we analyse the dynamics of debt and equity financing during the COVID-19 pandemic for a cross-country sample of 8,921 private firms. We provide evidence of a slight gender bias in debt financing, with creditors favouring female entrepreneurs when dealing with cash flow problems during the COVID-19 pandemic. We find no evidence of gender bias in equity financing. The results are robust after controlling for a larger number of firm-specific characteristics and selection bias. We challenge the assumption of "gender-based discrimination" in the debt market, speculating that in the context of high uncertainty, prototypical forms of femininity may be advantageous as financial institutions seek to hedge their risk by favouring more conservative borrowers.

Urban-rural differences in catastrophic health expenditure among households with chronic non-communicable disease patients: evidence from China family panel studies.

BACKGROUND: The prevalence of chronic non-communicable diseases (NCDs) challenges the Chinese health system reform. Little is known for the differences in catastrophic health expenditure (CHE) between urban and rural households with NCD patients. This study aims to measure the differences above and quantify the contribution of each variable in explaining the urban-rural differences. METHODS: Unbalanced panel data were obtained from the China Family Panel Studies (CFPS) conducted between 2012 and 2018. The techniques of Fairlie nonlinear decomposition and Blinder-Oaxaca decomposition were employed to measure the contribution of each independent variable to the urban-rural differences. RESULTS: The CHE incidence and intensity of households with NCD patients were significantly higher in rural areas than in urban areas. The urban-rural differences in CHE incidence increased from 8.07% in 2012 to 8.18% in 2018, while the urban-rural differences in CHE intensity decreased from 2.15% in 2012 to 2.05% in 2018. From 2012 to 2018, the disparity explained by household income and self-assessed health status of household head increased to some extent. During the same period, the contribution of education attainment to the urban-rural differences in CHE incidence decreased, while the contribution of education attainment to the urban-rural differences in CHE intensity increased slightly. CONCLUSIONS: Compared with urban households with NCD patients, rural households with NCD patients had higher risk of incurring CHE and heavier economic burden of diseases. There was no substantial change in urban-rural inequality in the incidence and intensity of CHE in 2018 compared to 2012. Policy interventions should give priority to improving the household income, education attainment and health awareness of rural patients with NCDs.

Decomposing the educational inequalities in the factors associated with severe acute malnutrition among under-five children in low- and middle-income countries.

BACKGROUND: Low- and Middle-Income Countries (LMIC) have remained plagued with the burden of severe acute malnutrition (SAM). The decomposition of the educational inequalities in SAM across individual, household and neighbourhood characteristics in LMIC has not been explored. This study aims to decompose educational-related inequalities in the development of SAM among under-five children in LMIC and identify the risk factors that contribute to the inequalities. METHODS: We pooled successive secondary data from the Demographic and Health Survey conducted between 2010 and 2018 in 51 LMIC. We analysed data of 532,680 under-five children nested within 55,823 neighbourhoods. Severe acute malnutrition was the outcome variable while the literacy status of mothers was the main exposure variable. The explanatory variables cut across the individual-, household- and neighbourhood-level factors of the mother-child pair. Oaxaca-Blinder decomposition method was used at p = 0.05. RESULTS: The proportion of children whose mothers were not educated ranged from 0.1% in Armenia and Kyrgyz Republic to as much as 86.1% in Niger. The overall prevalence of SAM in the group of children whose mothers had no education was 5.8% compared with 4.2% among those whose mothers were educated, this varied within each country. Fourteen countries (Cameroon(p < 0.001), Chad(p < 0.001), Comoro(p = 0.047), Burkina Faso(p < 0.001), Ethiopia(p < 0.001), India(p < 0.001), Kenya(p < 0.001), Mozambique(p = 0.012), Namibia(p = 0.001), Nigeria(p < 0.001), Pakistan(p < 0.001), Senegal(p = 0.003), Togo(p = 0.013), and Timor Leste(p < 0.001) had statistically significant pro-illiterate inequality while no country showed statistically significant pro-literate inequality. We found significant differences in SAM prevalence across child's age (p < 0.001), child's sex(p < 0.001), maternal age(p = 0.001), household wealth quintile(p = 0.001), mother's access to media(p = 0.001), birth weight(p < 0.001) and neighbourhood socioeconomic status disadvantage(p < 0.001). On the average, neighbourhood socioeconomic status disadvantage, location of residence were the most important factors in most countries. Other contributors to the explanation of educational inequalities are birth weight, maternal age and toilet type. CONCLUSIONS: SAM is prevalent in most LMIC with wide educational inequalities explained by individual, household and community-level factors. Promotion of women education should be strengthened as better education among women will close the gaps and reduce the burden of SAM generally. We recommend further studies of other determinate causes of inequalities in severe acute malnutrition in LMIC.

Monitoring the decomposition of wealth-related inequality in the use of regular antenatal care in Egypt (1995-2014).

BACKGROUND: Between 1995 and 2014 Egypt successfully increased the use of regular antenatal care (URAC) among women from 30.4 to 82.9%. The same period saw a decrease in the wealth-based inequality in URAC. This paper investigates the changes in the main determinants contributing to the wealth-based inequality in URAC for the 2 years of 1995 and 2014, and the determinants that underlined the declines in this inequality. METHODS: The secondary analysis was based on data from the 1995 and 2014 rounds of the Egypt Demographic and Health Survey. Logistic regression was implemented to model URAC for the 2 years and inequality was measured using the concentration index. Decomposition of the concentration index and Blinder -Oaxaca decomposition were implemented to assess the contribution of the URAC determinants to its inequality and the changes between 1995 and 2014. RESULTS: Decomposition of inequalities in URAC in 1995 and 2014 showed that social determinants were the main contributors to these inequalities. More than 90% of the inequalities were explained by the living in rural Upper Egypt, women and their husbands secondary and higher education, the household standard of living, and birth order. These same determinants were responsible for more than 76% of the decline in the inequality in URAC between 1995 and 2014. Wide spread of poverty in rural Upper Egypt was found to contribute significantly to the inequality in URAC. Women and their husbands who have secondary or higher education maintained their high odds of URAC. CONCLUSION: Since poverty in rural Upper Egypt, and inequality in education and parity are crucial social determinants of URAC inequality and its change overtime, new policies and interventions need to focus not only on the health system but on social initiatives with an equity lens to tackle the structural causes underlying these factors and their inequalities.

Socioeconomic inequity in inpatient service utilization based on need among internal migrants: evidence from 2014 national cross-sectional survey in China.

BACKGROUND: Providing equal treatment for those who have the same need for healthcare, regardless of their socioeconomic and cultural background, has become a shared goal among policymakers who strive to improve healthcare. This study aims to identify the socioeconomic status (SES) inequities in inpatient service utilization based on need among migrants by using a nationally representative study in China. METHODS: The data used in this study was derived from the 2014 National Internal Migrant Population Dynamic Monitoring Survey collected by the National Health Commission of China. The sampling frame for this study was taken using the stratified multistage random sampling method. All provincial urban belt and key cities were stratified, and 119 strata were finally determined. We used logistic regression method and Blinder-Oaxaca decomposition and calculated the concentration index to measure inequities of SES in inpatient service utilization based on need. Sample weights provided in the survey were applied in all the analysis and all standard errors in this study were clustered at the strata level. RESULTS: Of the total internal migrants, 18.75% unmet the inpatient service need. Results showed that inpatient service utilization concentrated among high-SES migrants (Concentration Index: 0.036, p < 0.001) and the decomposition results suggested that about 44.16% of the total SES gap in inpatient service utilization could be attributed to the gradient effect. After adjusting for other confounding variables, those had high school degree and university degree were more likely to meet the inpatient services need, and the OR values were 1.48 (95% CI 1.07, 2.03, p = 0.017) and 2.04 (95% CI 1.45, 2.88, p = 0.001), respectively. The OR values for Quartile 3 and Quartile 4 income groups was 1.28 (95% CI 1.01, 1.62, p = 0.044) and 1.37 (95% CI 1.02, 1.83, p = 0.035), respectively. CONCLUSION: This study observed an inequity in inpatient service utilization where the utilization concentrates among high SES migrants. It is important for policy makers to be aware of them and more intervention should be conducted.

What drives us apart? Decomposing intersectional inequalities in cigarette smoking by education and sexual orientation among U.S. adults.

BACKGROUND: Socio-economic and sexual orientation inequalities in cigarette smoking are well-documented; however, there is a lack of research examining the social processes driving these complex inequalities. Using an intersectional framework, the current study examines key processes contributing to inequalities in smoking between four intersectional groups by education and sexual orientation. METHODS: The sample (28,362 adults) was obtained from Wave 2 (2014-2015) of the Population Assessment of Tobacco and Health (PATH) Study. Four intersectional positions were created by education (high- and low-education) and sexual orientation (heterosexual or lesbian, gay, bisexual, or queer/questioning (LGBQ). The joint inequality, the referent socio-economic inequality, and the referent sexual orientation inequality in smoking were decomposed by demographic, material, tobacco marketing-related, and psychosocial factors using non-linear Oaxaca decomposition. RESULTS: Material conditions made the largest contribution to the joint inequality (9.8 percentage points (p.p.), 140.9%), referent socio-economic inequality (10.01 p.p., 128.4%), and referent sexual orientation inequality (4.91 p.p., 59.8%), driven by annual household income. Psychosocial factors made the second largest contributions to the joint inequality (2.12 p.p., 30.3%), referent socio-economic inequality (2.23 p.p., 28.9%), and referent sexual orientation inequality (1.68 p.p., 20.5%). Referent sexual orientation inequality was also explained by marital status (20.3%) and targeted tobacco marketing (11.3%). CONCLUSION: The study highlights the pervasive role of material conditions in inequalities in cigarette smoking across multiple dimensions of advantage and disadvantage. This points to the importance of addressing material disadvantage to reduce combined socioeconomic and sexual orientation inequalities in cigarette smoking.

Decomposing health inequality with population-based surveys: a case study in Rwanda.

BACKGROUND: Ensuring equal access to care and providing financial risk protection are at the center of the global health agenda. While Rwanda has made impressive progress in improving health outcomes, inequalities in medical care utilization and household catastrophic health spending (HCHS) between the impoverished and non-impoverished populations persist. Decomposing inequalities will help us understand the factors contributing to inequalities and design effective policy instruments in reducing inequalities. This study aims to decompose the inequalities in medical care utilization among those reporting illnesses and HCHS between the poverty and non-poverty groups in Rwanda. METHODS: Using the 2005 and 2010 nationally representative Integrated Living Conditions Surveys, our analysis focuses on measuring contributions to inequalities from poverty status and other sources. We conducted multivariate logistic regression analysis to obtain poverty's contribution to inequalities by controlling for all observed covariates. We used multivariate nonlinear decomposition method with logistic regression models to partition the relative and absolute contributions from other sources to inequalities due to compositional or response effects. RESULTS: Poverty status accounted for the majority of inequalities in medical care utilization (absolute contribution 0.093 in 2005 and 0.093 in 2010) and HCHS (absolute contribution 0.070 in 2005 and 0.032 in 2010). Health insurance status (absolute contribution 0.0076 in 2005 and 0.0246 in 2010) and travel time to health centers (absolute contribution 0.0025 in 2005 and 0.0014 in 2010) were significant contributors to inequality in medical care utilization. Health insurance status (absolute contribution 0.0021 in 2005 and 0.0011 in 2010), having under-five children (absolute contribution 0.0012 in 2005 and 0.0011 in 2010), and having disabled family members (absolute contribution 0.0002 in 2005 and 0.0001 in 2010) were significant contributors to inequality in HCHS. Between 2005 and 2010, the main sources of the inequalities remained unchanged. CONCLUSIONS: Expanding insurance coverage and reducing travel time to health facilities for those living in poverty could be used as policy instruments to mitigate inequalities in medical care utilization and HCHS between the poverty and non-poverty groups.

Decomposition of Economic Inequality in Needle and Syringe Programs Utilization to its Determinants among Men Who Inject Drugs in Tehran using Blinder-Oaxaca Decomposition Method.

BACKGROUND: According to latest available data there are more of 300,000 people injects drug users (PWID) in Iran. OBJECTIVES: In this study, we used a Blinder-Oaxaca (BO) decomposition to explore the relative contributions of inequality in utilization of NSPs and to decompose it to its determinants in Teheran. METHODS: We used data from a cross-sectional survey using snowball sampling to recruit 500 PWID from June to July 2016 in Tehran. Participants were reported injecting drug use in the past month, were able to speak and comprehend Farsi enough to respond to survey questions, and were able to provide informed consent to complete the interview. We used a BO method to decompose the role of economic inequality on utilization of needle and syringe programs. RESULTS: A total 520 of clients participated in the study of which data was fully complete for 500. The selected predictor variables (age, education level, marital status, homelessness, HIV risk perception, and HIV knowledge) together explain 54% (8.5% out of 16%) of total inequality in utilization of needle and syringe programs and the remaining 46% constitute the unexplained residual. HIV risk perception status contributed about 38% (3.3% out of 8.5%) to the total health inequality, followed by HIV knowledge (26%) and education level were contributed 20% each, respectively. CONCLUSION: The results showed that contribution of economic inequalities in utilization of NSPs was primarily explained by the differential effects of HIV risk perception and HIV knowledge among PWID. Reducing HIV risk perception and increasing HIV knowledge might be essential to efforts to eliminate inequalities in access to NSPs among PWID.

Explaining Differentials in Subsidy Levels Among Hospital Ownership Types in Germany.

German hospitals receive subsidies for investment costs by federal states. Theoretically, these subsidies have to cover the whole investment volume, but in fact, only 50-60% are covered. Balance sheet data show that public hospitals exhibit higher levels of subsidies compared with for-profit hospitals. In this study, I examine the sources of this disparity by decomposing the differential in a so-called facilitation ratio, that is, the ratio of subsidies to tangible fixed assets, revealing to which extent assets are funded by subsidies. The question of interest is whether the differential can be attributed to observable hospital-specific and federal state-specific characteristics or to unobservable factors. Copyright © 2016 John Wiley & Sons, Ltd.

What explains gender inequalities in HIV/AIDS prevalence in sub-Saharan Africa? Evidence from the demographic and health surveys.

BACKGROUND: Women are disproportionally affected by human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) in sub-Saharan Africa (SSA). The determinants of gender inequality in HIV/AIDS may vary across countries and require country-specific interventions to address them. This study aimed to identify the socio-demographic and behavioral characteristics underlying gender inequalities in HIV/AIDS in 21 SSA countries. METHODS: We applied an extension of the Blinder-Oaxaca decomposition approach to data from Demographic and Health Surveys and AIDS Indicator Surveys to quantify the differences in HIV/AIDS prevalence between women and men attributable to socio-demographic factors, sexual behaviours, and awareness of HIV/AIDS. We decomposed gender inequalities into two components: the percentage attributable to different levels of the risk factors between women and men (the "composition effect") and the percentage attributable to risk factors having differential effects on HIV/AIDS prevalence in women and men (the "response effect"). RESULTS: Descriptive analyses showed that the difference between women and men in HIV/AIDS prevalence varied from a low of 0.68 % (P = 0.008) in Liberia to a high of 11.5 % (P < 0.001) in Swaziland. The decomposition analysis showed that 84 % (P < 0.001) and 92 % (P < 0.001) of the higher prevalence of HIV/AIDS among women in Uganda and Ghana, respectively, was explained by the different distributions of HIV/AIDS risk factors, particularly age at first sex between women and men. In the majority of countries, however, observed gender inequalities in HIV/AIDS were chiefly explained by differences in the responses to risk factors; the differential effects of age, marital status and occupation on prevalence of HIV/AIDS for women and men were among the significant contributors to this component. In Cameroon, Guinea, Malawi and Swaziland, a combination of the composition and response effects explained gender inequalities in HIV/AIDS prevalence. CONCLUSIONS: The factors that explain gender inequality in HIV/AIDS in SSA vary by country, suggesting that country-specific interventions are needed. Unmeasured factors also contributed substantially to the difference in HIV/AIDS prevalence between women and men, highlighting the need for further study.

Changes in educational inequalities in knee and hip osteoarthritis surgery and non-surgery specialist care visits over time in Sweden.

Objective: To examine changes in prevalence and socioeconomic inequalities in knee and hip OA outcomes, in more specific surgery and non-surgery specialist care visits, from 2001 to 2011 in Sweden and to what extent sociodemographic factors can explain the changes. Design: We included all individuals aged ≥35 years resident in Sweden from 2001 to 2011. Individual-level data was retrieved from the Swedish Interdisciplinary Panel. Highest educational attainment was used as socioeconomic measure and the concentration index was used to assess relative and absolute educational inequalities. We used decomposition method to examine changes in prevalence and relative educational inequalities. Results: A total of 4,794,693 and 5,359,186 people were included for the years 2001 and 2011, respectively. The crude prevalence of surgery and specialist visits for knee and hip OA was 36-83% higher in 2011 than in 2001. The increase in hip OA outcomes was largely explained by changes in the sociodemographic composition of the population, whereas for knee OA outcomes, changes in the strength of the associations with sociodemographic factors appeared more important. All outcomes were concentrated among people with lower education in all study years. The relative inequalities declined over the study period, while the absolute inequalities increased for knee OA outcomes and remained stable for hip OA. Conclusion: Our findings show an increasing burden of all studied OA outcomes. Moreover, our findings suggest persistent educational inequalities with more surgeries and specialist visits among lower-educated individuals. Future research should incorporate additional variables to better understand and address these inequalities.

Why is there a gap in self-rated health among people with hypertension? A decomposition of determinants and rural-urban differences.

Background: Hypertension affects over one billion people globally and is one of the leading causes of premature death. The low- and middle-income countries, especially the sub-Saharan Africa region, bear a disproportionately higher share of hypertension globally. Recent evidence shows a steady shift in the burden of hypertension from the more affluent and urban population towards the poorer and rural communities. Our study examined inequalities in self-rated health among people with hypertension and whether there is a rural-urban gap in the health of these patients. We then quantified factors driving the health gap. We also examined how much HIV accounts for differences in self-rated health among hypertension patients due to the relationship between HIV, hypertension and health in sub-Saharan Africa. Methods: We utilized the Zambia Household Health Expenditure and Utilization Survey for the data on SRH and other demographic and socioeconomic controls. District HIV prevalence information was from a previous study. The linear probability model provided a preliminary assessment of the association between self-rated health and independent variables. We then used the Blinder-Oaxaca decomposition to identify self-rated health inequality between urban and rural patients and determine determinants of the health gap between the two groups. Results: Advanced age, lower education and low district HIV prevalence were significantly associated with poor health rating among hypertension patients. The decomposition analysis indicated that 45.5% of urban patients and 36.9% of rural patients reported good self-rated health, representing a statistically significant health gap of 8.6%. Most of the identified health gap can be attributed to endowment effects, with education (62%), district HIV prevalence (26%) and household expenditure (12%) being the most important determinants that explain the health gap. Conclusions: Urban hypertension patients have better SRH than rural patients in Zambia. Educational interventions, financial protection schemes and strengthening hypertension health services in rural areas can significantly reduce the health gap between the two regions.

Increasing retirement ages in Denmark: Do changes in gender, education, employment status and health matter?

Recent studies report significant increases in retirement ages over the past two to three decades in most countries in the Organization for Economic Co-operation and Development-increases that research has attributed mainly to changes in the legislative frameworks for retirement in these countries. Using unique data from the Danish Longitudinal Study of Ageing, this study investigates whether and, if so to what extent, changes to the workforce in terms of gender, education, employment status (employed or self-employed) and health contribute to explaining differences in retirement ages between the cohorts born in 1935 and 1950. The retirement window of these cohorts stretches from the early 1990s to the late 2010s-a period characterized by substantial changes to workforce. On average, retirement ages increased by two years from the 1935 cohort to the 1950 cohort. However, due to changes in the investigated factors having offsetting effects, the net effect of such changes on retirement ages was minor. Thus, while increasing levels of education and better health among older workers contributed to increasing retirement ages, increasing female labour force participation and fewer self-employed workers had the opposite effect. In absolute terms, the total compositional and behavioural influence on retirement ages of changes in terms of employment status (- 0.35 years) was almost as large as the total changes in terms of education (0.44 years). Thus, future studies investigating long-term changes in retirement ages would benefit from including changes in employment status (self-employed or wage earner) as an explanatory factor.

Explaining Variations in Long-term Care Use and Expenditures Under the Public Long-term Care Insurance Systems: A Case Study Comparison of Korea and Japan.

BACKGROUND: Establishing universal coverage of formal long-term care (LTC) services is an urgent policy need for aging populations that requires efficient management of quality and financing. Although current variation in LTC service use between and within countries suggests the potential for improvement by efficient management, this topic remains underexamined. We aimed to identify the sources of variance in LTC use and expenditures through a unique cross-country comparison of Japan and South Korea, which have formal public LTC insurance (LTCI) schemes that are analogous but have unique operational and demographic structures. METHODS: Taking administrative regions as the unit of analysis, we assembled data on the LTC utilization rate of people aged ≥65 years, and expenditures per recipient from 2013 to 2015 as the outcome variables. Explanatory variables included demand-related factors, such as regional demographic and economic conditions, and supply characteristics derived from existing public databases. We conducted weighted least squares regression with fixed effects for the pooled data and used Blinder-Oaxaca decomposition to identify sources of outcome variance between the two countries. RESULTS: The average LTC utilization rate was 6.8% in Korea and 18.2% in Japan. Expenditures per recipient were approximately 1.4 times higher in Japan than in Korea. The difference in the utilization rate was mostly explained by between-country differences in supply- and demand-related factors, whereas the difference in expenditures per recipient was largely attributed to unobserved country-specific factors. CONCLUSION: The current findings suggest that LTC utilization is determined largely by the demographic and functional characteristics of older people, whereas expenditures are more likely affected by institutional factors such as the insurance governance scheme and the policy choice of the target population segment and coverage. The results suggest that strategic choice of LTC institutional schemes is required to ensure financial sustainability to meet changing demands caused by population aging.

Socio-economic inequality in prevalence of type 2 diabetes among adults in north-west of Iran: a Blinder-Oaxaca decomposition.

Background: The aim of this study was to estimate the socio-economic inequality in prevalence of type 2 diabetes among adults in north-west of Iran. Methods: A cross-sectional study was conducted in Ardabil with data from the PERSIAN Cohort Study. Diabetes has been measured by combining self-reported and clinical records. Based on the socio-economic status score, households divided into five quintiles. A multiple logistic regression model was used to examine the association between having diabetes and independent variables and the Blinder-Oaxaca (BO) method was used to decompose the socioeconomic inequality, respectively. Results: The Overall age-adjusted prevalence of diabetes among 20,419 Ardabil's adults was 14.3% (95% CI: 13.6 to 14.9). The prevalence of type 2 diabetes for the poorest and richest groups was 16.07% and 7.60%, the gap between the poorest and richest groups was 8.47%. The prevalence type 2 diabetes was significantly increasing with increasing in age (OR = 4.05, 95% CI = 3.27-5.02), BMI (OR: 3.10, 95%CI = 1.25-7.68), blood pressure (OR: 2.61, 95% CI = 2.37-2.88), and decreases with higher education level (OR = 0.78, 95% CI = 0.63-0.97). The richest-economic group has lower prevalence of diabetes (OR = 0.73, 95% CI = 0.60-0.88). The decomposition showed that most important factors affecting the difference between poorest and richest group in the prevalence of type 2 diabetes were age (86.1%), years of schooling (46.9%) and having chronic diseases such as hypertension (26.9%). Conclusions: The present study showed that the prevalence of type 2 diabetes was significantly higher among the elderly, women, uneducated, obese, and poor populations. Policies that address people poverty such as increasing job opportunities, increasing the minimum income etc. could reduce diabetes risk for poor people.