Socioeconomic and geographical inequalities in health care coverage in Mozambique: a repeated cross-sectional study of the 2015 and 2018 national surveys.

BACKGROUND: Over the past years, Mozambique has implemented several initiatives to ensure equitable coverage to health care services. While there have been some achievements in health care coverage at the population level, the effects of these initiatives on social inequalities have not been analysed. OBJECTIVE: The present study aimed to assess changes in socioeconomic and geographical inequalities (education, wealth, region, place of residence) in health care coverage between 2015 and 2018 in Mozambique. METHODS: The study was based on repeated cross-sectional surveys from nationally representative samples: the Survey of Indicators on Immunisation, Malaria and HIV/AIDS in Mozambique (IMASIDA) 2015 and the 2018 Malaria Indicator survey. Data from women of reproductive age (15 to 49 years) were analysed to evaluate health care coverage of three indicators: insecticide-treated net use, fever treatment of children, and use of Fansidar malaria prophylaxis for pregnant women. Absolute risk differences and the slope index of inequality (SII) were calculated for the 2015 survey period and the 2018 survey period, respectively. An interaction term between the socioeconomic and geographical variables and the period was included to assess inequality changes between 2015 and 2018. RESULTS: The non-use of insecticide-treated nets dropped, whereas the proportion of women with children who were not treated for fever and the prevalence of women who did not take the full Fansidar dose during pregnancy decreased between 2015 and 2018. Significant reductions in the inequality related to insecticide-treated net use were observed for all socioeconomic variables. Concerning fever treatment, some reductions in socioeconomic inequalities were observed, though not statistically significant. For malaria prophylaxis, the SII was significant for education, wealth, and residence in both periods, but no significant inequality reductions were observed in any of these variables over time. CONCLUSIONS: We observed significant reductions of socioeconomic inequalities in insecticide-treated net use, but not in fever treatment of children and Fansidar prophylaxis for pregnant women. Decision-makers should target underserved populations, specifically the non-educated, poor, and rural women, to address inequalities in health care coverage.

Interpersonal Violence Is Associated with Self-Reported Stress, Anxiety and Depression among Men in East-Central Sweden: Results of a Population-Based Survey.

Background and Objectives: Interpersonal violence is a social and public health problem globally, and though it is related to poor health outcomes across all genders, most research has been directed towards violence against women. As a result, the health consequences of men's victimization may be underreported and unaddressed. The purpose of this study was to assess the relationship between interpersonal violence and the psychological health outcomes of self-reported stress, anxiety, and depression among men. Materials and Methods: The study used data from the male sample (n = 2597) of the 2018 Health on Equal Terms Survey conducted in Gävleborg County in East-Central Sweden. Regression analysis was carried out to study the relationship between interpersonal violence and self-reported stress, anxiety, and depression. Results: The bivariate analysis showed that there was a statistically significant association between interpersonal violence and self-reported stress (OR 2.35; CI 1.45-3.81), anxiety (OR 1.54; CI 1.06-2.25), and depression (OR 2.30; CI 1.48-3.57). Controlling for other variables in the multivariate analysis removed the statistically significant relationship and reduced the odds ratios for stress (OR 1.46; CI 0.57-3.74), anxiety (OR 0.86; 0.40-1.84), and depression (OR 1.40; CI 0.67-3.32) respectively. Conclusions: The study found that interpersonal violence among men was associated with stress, anxiety and depression which was largely explained by demographic, socioeconomic, and health/behavior-related factors. The findings suggest the need for longitudinal studies to assess causal links between male victimization and psychological health outcomes at the county level.

Wealth inequalities in reproductive and child health preventive care in Mozambique: a decomposition analysis.

BACKGROUND: Assessing the gap between rich and poor is important to monitor inequalities in health. Identifying the contribution to that gap can help policymakers to develop interventions towards decreasing that difference. OBJECTIVE: To quantify the wealth inequalities in health preventive measures (bed net use, vaccination, and contraceptive use) to determine the demographic and socioeconomic contribution factors to that inequality using a decomposition analysis. METHODS: Data from the 2015 Immunisation, Malaria and AIDs Indicators Survey were used. The total sample included 6946 women aged 15-49 years. Outcomes were use of insecticide-treated nets (ITN), child vaccination, and modern contraception use. Wealth Index was the exposure variable and age, marital status, place of residence, region, education, occupation, and household wealth index were the explanatory variables. Wealth inequalities were assessed using concentration indexes (Cindex). Wagstaff-decomposition analysis was conducted to assess the determinants of the wealth inequality. RESULTS: The Cindex was -0.081 for non-ITN, -0.189 for lack of vaccination coverage and -0.284 for non-contraceptive use, indicating a pro-poor inequality. The results revealed that 88.41% of wealth gap for ITN was explained by socioeconomic factors, with education and wealth playing the largest roles. Lack of full vaccination, socioeconomic factors made the largest contribution, through the wealth variable, whereas geographic factors came next. Finally, the lack of contraceptive use, socioeconomic factors were the main explanatory factors, but to a lesser degree than the other two outcomes, with wealth and education contributing most to explaining the gap. CONCLUSION: There was a pro-poor inequality in reproductive and child preventive measures in Mozambique. The greater part of this inequality could be attributed to wealth, education, and residence in rural areas. Resources should be channeled into poor and non-educated rural communities to tackle these persistent inequities in preventive care.

Socio-economic and demographic factors associated with reproductive and child health preventive care in Mozambique: a cross-sectional study.

BACKGROUND: Reproductive and child health interventions are essential to improving population health in Africa. In Mozambique, although some progress on reproductive and child health has been made, knowledge of social inequalities in health and health care is lacking. OBJECTIVE: To investigate socio-economic and demographic inequalities in reproductive and child preventive health care as a way to monitor progress towards universal health coverage. METHODS: A cross-sectional study was conducted, using data collected from the 2015 Immunization, AIDS and Malaria Indicators Survey (IMASIDA) in Mozambique. The sample included 6946 women aged 15 to 49 years. Outcomes variables were the use of insecticide treated nets (ITN) for children under 5 years, full child immunization and modern contraception use, while independent variables included age, marital status, place of residence, region, education, occupation, and household wealth index. Prevalence ratios (PR) with 95% confidence intervals (95% CI) were calculated by log binomial regression to assess the relationship between the socio-economic and demographic characteristics and the three outcomes of interest. RESULTS: The percentage of mothers with at least one child under 5 years that did not use ITN was 51.01, 46.25% of women had children aged 1 to 4 years who were not fully immunized, and 74.28% of women were not using modern contraceptives. Non-educated mothers (PR = 1.33; 95% CI: 1.16-1.51) and those living in the Southern region (PR = 1.36; 95% CI: 1.17-1.59) had higher risk of not using ITN, while the poorest quintile (PR = 1.34; 95% CI: 1.04-1.71) was more likely to have children who were not fully immunized. Similarly, non-educated women (PR = 1.17; 95% CI: 1.10-1.25), non-working women (PR = 1.09; 95% CI: 1.04-1.16), and those in the poorest quintile (PR = 1.13; 95% CI: 1.04-1.24) had a higher risk of not using modern contraceptives. CONCLUSION: Our study showed a low rate of ITN utilization, immunization coverage of children, and modern contraceptive use among women of reproductive age. Several socio-economic and demographics factors (region, education, occupation, and wealth) were associated with these preventive measures. We recommend an equity-oriented resource allocation across regions, knowledge dissemination on the importance of ITN and contraceptives use, and an expansion of immunization services to reach socio-economically disadvantaged families in order to achieve universal health coverage in Mozambique.