Attitudes of women towards intimate partner violence in Guyana: A cross-sectional analytical study.

BACKGROUND: To assess the attitudes of women towards intimate partner violence (IPV) in Guyana. METHODS: We used national data from the publicly available Multiple Indicator Cluster Survey (MICS) conducted in Guyana in 2019 for women aged 15 to 49 years. The prevalence of women who agreed that a husband is justified in beating his wife was analyzed. Respondent reasons included if she: "goes out without telling him", "neglects the children", "argues with him", "refuses sex with him", "burns the food", "has another partner", "stays out late/partying", "refuses to cook or clean", "overspends", and/or "he doesn't have access to her cellphone". Descriptive analyses were carried for all the variables. Logistic regression was used to identify factors associated with these 10 respondent reasons, separately and in combination. RESULTS: The overall prevalence of women's attitudes justifying IPV against women if there was a 'yes' response to any of the 10 reasons was 17.9% (95%CI: 16.6-19.3%), and varied from 2.7% if she "goes out without telling him", "burns the food", or "overspends" to 10.0% if she "has another partner". This prevalence ranged from 10.2% in urban areas to 19.3% in rural areas (p<0.001), and from 16.1% in coastal to 30.1% in interior areas (p<0.001). Similarly, 25.9% of women from the poorest household agreed that a husband has the right in beating his wife for any of the 10 reasons compared to 11.6% of the richest women (11.6%) (p<0.001). Rural place of residence, ethnicity, geographic region, level of education, wealth quintile, ever used of a computer, and frequency of listening to the radio were significant factors associated with women's attitudes justifying IPV against women (p<0.05). CONCLUSION: Over one-sixth of the respondents agreed that a husband was justified in committing IPV against women in Guyana. Public health programs focusing on geographic locations, ethnicity, and economic status must be implemented to change attitudes justifying IPV and reduce this significant public health challenge.

A composite index; socioeconomic deprivation and coverage of reproductive and maternal health interventions.

Objective: To examine inequalities in the coverage of reproductive and maternal health interventions in low- and middle-income countries and territories using a composite index of socioeconomic deprivation status. Methods: We obtained data on education and living standards from national household surveys conducted between 2015 and 2019 to calculate socioeconomic deprivation status. We assessed the coverage of reproductive and maternal health interventions, using three indicators: (i) demand for family planning satisfied with modern methods; (ii) women who received antenatal care in at least four visits; and (iii) the presence of a skilled attendant at delivery. Absolute and relative inequalities were evaluated both directly and using the slope index of inequality and the concentration index. Findings: In the 73 countries and territories with available data, the median proportions of deprivation were 41% in the low-income category, 11% in the lower-middle-income category and less than 1% in the upper-middle-income category. The coverage analysis, conducted for 48 countries with sufficient data, showed consistently lower median coverage among deprived households across all health indicators. The coverage of skilled attendant at delivery showed the largest inequalities, where coverage among the socioeconomically deprived was substantially lower in almost all countries. Antenatal care visits and demand for family planning satisfied with modern methods also showed significant disparities, favouring the less deprived population. Conclusion: The findings highlight persistent disparities in the coverage of reproductive and maternal health interventions, requiring efforts to reduce those disparities and improve coverage, particularly for skilled attendant at delivery.

Identifying and Characterizing the Poorest Urban Population Using National Household Surveys in 38 Cities in Sub-Saharan Africa.

Identifying and classifying poor and rich groups in cities depends on several factors. Using data from available nationally representative surveys from 38 sub-Saharan African countries, we aimed to identify, through different poverty classifications, the best classification in urban and large city contexts. Additionally, we characterized the poor and rich groups in terms of living standards and schooling. We relied on absolute and relative measures in the identification process. For absolute ones, we selected people living below the poverty line, socioeconomic deprivation status and the UN-Habitat slum definition. We used different cut-off points for relative measures based on wealth distribution: 30%, 40%, 50%, and 60%. We analyzed all these measures according to the absence of electricity, improved drinking water and sanitation facilities, the proportion of children out-of-school, and any household member aged 10 or more with less than 6 years of education. We used the sample size, the gap between the poorest and richest groups, and the observed agreement between absolute and relative measures to identify the best measure. The best classification was based on 40% of the wealth since it has good discriminatory power between groups and median observed agreement higher than 60% in all selected cities. Using this measure, the median prevalence of absence of improved sanitation facilities was 82% among the poorer, and this indicator presented the highest inequalities. Educational indicators presented the lower prevalence and inequalities. Luanda, Ouagadougou, and N'Djaména were considered the worst performers, while Lagos, Douala, and Nairobi were the best performers. The higher the human development index, the lower the observed inequalities. When analyzing cities using nationally representative surveys, we recommend using the relative measure of 40% of wealth to characterize the poorest group. This classification presented large gaps in the selected outcomes and good agreement with absolute measures.

Coverage, Trends, and Inequalities of Maternal, Newborn, and Child Health Indicators among the Poor and Non-Poor in the Most Populous Cities from 38 Sub-Saharan African Countries.

Rapid urbanization is likely to be associated with suboptimal access to essential health services. This is especially true in cities from sub-Saharan Africa (SSA), where urbanization is outpacing improvements in infrastructure. We assessed the current situation in regard to several markers of maternal, newborn, and child health, including indicators of coverage of health interventions (demand for family planning satisfied with modern methods, at least four antenatal care visits (ANC4+), institutional birth, and three doses of DPT vaccine[diphtheria, pertussis and tetanus]) and health status (stunting in children under 5 years, neonatal and under-5 mortality rates) among the poor and non-poor in the most populous cities from 38 SSA countries. We analyzed 136 population-based surveys (year range 2000-2019), contrasting the poorest 40% of households (referred to as poor) with the richest 60% (non-poor). Coverage in the most recent survey was higher for the city non-poor compared to the poor for all interventions in virtually all cities, with the largest median gap observed for ANC4+ (13.5 percentage points higher for the non-poor). Stunting, neonatal, and under-5 mortality rates were higher among the poor (7.6 percentage points, 21.2 and 10.3 deaths per 1000 live births, respectively). The gaps in coverage between the two groups were reducing, except for ANC4, with similar median average annual rate of change in both groups. Similar rates of change were also observed for stunting and the mortality indicators. Continuation of these positive trends is needed to eliminate inequalities in essential health services and child survival in SSA cities.

Recent trends in maternal and child health inequalities in Latin America and the Caribbean: analysis of repeated national surveys.

BACKGROUND: Although most Latin American and the Caribbean (LAC) countries made important progress in maternal and child health indicators from the 1990s up to 2010, little is known about such progress in the last decade. This study aims at documenting progress for each country as a whole, and to assess how within-country socioeconomic inequalities are evolving over time. METHODS: We identified LAC countries for which a national survey was available between 2011-2015 and a second comparable survey in 2018-2020. These included Argentina, Costa Rica, Cuba, the Dominican Republic, Guyana, Honduras, Peru, and Suriname. The 16 surveys included in the analysis collected nationally representative data on 221,989 women and 152,983 children using multistage sampling. Twelve health-related outcomes were studied, seven of which related to intervention coverage: the composite coverage index, demand for family planning satisfied with modern methods, antenatal care (four or more visits and eight or more visits), skilled attendant at birth, postnatal care for the mother and full immunization coverage. Five additional impact indicators were also investigated: stunting prevalence among under-five children, tobacco use by women, adolescent fertility rate, and under-five and neonatal mortality rates. For each of these indicators, average annual relative change rates were calculated between the baseline and endline national level estimates, and changes in socioeconomic inequalities over time were assessed using the slope index of inequality. RESULTS: Progress over time and the magnitude of inequalities varied according to country and indicator. For countries and indicators where baseline levels were high, as Argentina, Costa Rica and Cuba, progress was slow and inequalities small for most indicators. Countries that still have room for improvements, such as Guyana, Honduras, Peru and Suriname, showed faster progress for some but not all indicators, although also had wider inequalities. Among the countries studied, Peru was the top performer in terms of increasing coverage and reducing inequalities over time, followed by Honduras. Declines in family planning and immunization coverage were observed in some countries, and the widest inequalities were present for adolescent fertility and antenatal care coverage with eight or more visits. CONCLUSIONS: Although LAC countries are well placed in terms of current levels of health indicators compared to most low- and middle-income countries, important inequalities remain, and reversals are being observed in some areas. More targeted efforts and actions are needed in order to leave no one behind. Monitoring progress with an equity lens is essential, but this will require further investment in conducting surveys routinely.

Time trends in ethnic inequalities in child health and nutrition: analysis of 59 low and middle-income countries.

BACKGROUND: Although ethnicity is a key social determinant of health, there are no global analyses aimed at identifying countries that succeeded in reducing ethnic gaps in child health and nutrition. METHODS: We identified 59 low and middle-income countries with at least two surveys since 2010 providing information on ethnicity or language and on three outcomes: under-five mortality, child stunting prevalence and a composite index (CCI) based on coverage with eight maternal and child health interventions. Firstly, we calculated population-weighted and unweighted measures of inequality among ethnic or language groups within each country. These included the mean difference from the overall national mean (absolute inequality), mean ratio relative to the overall mean (relative inequality), and the difference and ratio between the best- and worst-performing ethnic groups. Second, we examined annual changes in these measures in terms of annual absolute and relative changes. Thirdly, we compared trends for each of the three outcome indicators and identified exemplar countries with marked progress in reducing inequalities. RESULTS: For each outcome indicator, annual changes in summary measures tended to show moderate (Pearson correlation coefficients of 0.4 to 0.69) or strong correlations (0.7 or higher) among themselves, and we thus focused on four of the 12 measures: absolute and relative annual changes in mean differences and ratios from the overall national mean. On average, absolute ethnic or language group inequalities tended to decline slightly for the three outcomes, and relative inequality declined for stunting and CCI, but increased for mortality. Correlations for annual trends across the three outcomes were inconsistent, with several countries showing progress in terms of one outcome but not in others. Togo and Uganda showed with the most consistent progress in reducing inequality, whereas the worst performers were Nigeria, Moldova, Kyrgyzstan, Sao Tome and Principe, and Burkina Faso. CONCLUSIONS: Although measures of annual changes in ethnic or language group inequalities in child health were consistently correlated within each outcome, analyses of such inequalities should rely upon multiple measures. Countries showing progress in one child health outcome did not necessarily show improvements in the remaining outcomes. In-depth analyses at country level are needed to understand the drivers of success in reducing ethnic gaps.

The role of gender inequality and health expenditure on the coverage of demand for family planning satisfied by modern contraceptives: a multilevel analysis of cross-sectional studies in 14 LAC countries.

Background: Despite international efforts to improve reproductive health indicators, little attention is paid to the contributions of contextual factors to modern contraceptive coverage, especially in the Latin America and the Caribbean (LAC) region. This study aimed to identify the association between country-level Gender Inequality and Health Expenditure with demand for family planning satisfied by modern contraceptive methods (DFPSm) in Latin American sexually active women. Methods: Our analyses included data from the most recent (post-2010) Demographic and Health Survey or Multiple Indicator Cluster Survey from 14 LAC countries. Descriptive analyses and multilevel logistic regressions were performed. Six individual-level factors were included. The effect of the country-level factors Gender Inequality Index (GII) and Current Health Expenditure on DFPSm was investigated. Findings: DFPSm ranged from 41.8% (95% CI: 40.2-43.5) in Haiti to 85.6% (95% CI: 84.9-86.3) in Colombia, with an overall median coverage of 77.8%. A direct association between the odds of DFPSm and woman's education, wealth index, and the number of children was identified. Women from countries in the highest GII tertile were less likely (OR: 0.32, 95% CI: 0.13-0.76) to have DFPSm than those living in countries in the lowest tertile. Interpretation: Understanding the contribution of country-level factors to modern contraception may allow macro-level actions focused on the population's reproductive needs. In this sense, country-level gender inequalities play an important role, as well as individual factors such as wealth and education. Funding: Bill and Melinda Gates Foundation and Associação Brasileira de Saúde Coletiva (ABRASCO).

Early initiation of breastfeeding is inversely associated with public and private c-sections in 73 lower- and middle-income countries.

Although studies in low- and middle-income countries (LMICs) have examined the effects of c-sections on early initiation of breastfeeding (EIBF), the role of the place of birth has not yet been investigated. Therefore, we tested the association between EIBF and the type of delivery by place of birth. Data from 73 nationally representative surveys carried out in LMICs between 2010 and 2019 comprised 408,013 women aged 15 to 49 years. Type of delivery by place of birth was coded in four categories: home vaginal delivery, institutional vaginal delivery, c-section in public, and c-section in private health facilities. We calculated the weighted mean prevalence of place of birth and EIBF by World Bank country income groups. Adjusted Poisson regression (PR) was fitted taking institutional vaginal delivery as a reference. The overall prevalence of EIBF was significantly lower among c-section deliveries in public (PR = 38%; 95% CI 0.618-0.628) and private facilities (PR = 45%; 95% CI 0.54-0.566) compared to institutional vaginal deliveries. EIBF in c-sections in public facilities was slightly higher in lower-middle (PR = 0.650, 95% CI 0.635-0.665) compared to low (PR = 0.544, 95% CI 0.521-0.567) and upper-middle income countries (PR = 0.612, 95% CI 0.599-0.626). EIBF was inversely associated with c-section deliveries compared to institutional vaginal deliveries, especially in private facilities compared to public ones.

[SDG3-related inequalities in women's, children's and adolescents' health: an SDG monitoring baseline for Latin America and the Caribbean using national cross-sectional surveysDesigualdades relacionadas ao ODS 3 na saúde da mulher, da criança e do adolescente: linha de base para o monitoramento do ODS na América Latina e no Caribe por meio de pesquisas transversais nacionais]. / Desigualdades relacionadas con el ODS 3 en la salud de las mujeres, los niños y los adolescentes: línea de base para el monitoreo de los ODS en América Latina y el Caribe por medio de encuestas transversales nacionales.

Objectives: Latin America and the Caribbean (LAC) countries have made important progress towards achieving the Sustainable Development Goal (SDG) targets related to health (SDG3) at the national level. However, vast within-country health inequalities remain. We present a baseline of health inequalities in the region, against which progress towards the SDGs can be monitored. Setting: We studied 21 countries in LAC using data from Demographic and Health Surveys and Multiple Indicator Cluster Survey carried out from 2011 to 2016. Participants: The surveys collect nationally representative data on women and children using multistage sampling. In total, 288 207 women and 195 092 children made part of the surveys in the 21 countries. Outcome measures: Five health intervention indicators were studied, related to reproductive and maternal health, along with adolescent fertility and neonatal and under-five mortality rates. Inequalities in these indicators were assessed through absolute and relative measures. Results: In most countries, subnational geographical health gradients were observed for nearly all women, child, and adolescent (WCA) indicators. Coverage of key interventions was higher in urban areas and among the richest, compared with rural areas and poorer quintiles. Analyses by woman's age showed that coverage was lower in adolescent girls than older women for family planning indicators. Pro-urban and pro-rich inequalities were also seen for mortality in most countries. Conclusions: Regional averages hide important health inequalities between countries, but national estimates hide still greater inequalities between subgroups of women, children and adolescents. To achieve the SDG3 targets and leave no one behind, it is essential to close health inequality gaps within as well as between countries.

Objetivos: Os países da América Latina e do Caribe obtiveram avanços significativos rumo à consecução do Objetivo de Desenvolvimento Sustentável relacionado à saúde (ODS 3) no nível nacional. No entanto, enormes desigualdades em saúde persistem nos países. Apresenta-se uma linha de base das desigualdades em saúde na região, com referência à qual é possível monitorar o progresso rumo aos ODS. Contexto: Foram estudados 21 países da América Latina e do Caribe usando dados de pesquisas de demografia e saúde e pesquisas de grupos de indicadores múltiplos feitas de 2011 a 2016. Participantes: As pesquisas coletam dados nacionalmente representativos sobre mulheres e crianças, por meio de amostragem multietápica. No total, 288.207 mulheres e 195.092 crianças participaram das pesquisas nos 21 países. Medição dos resultados: Foram estudados cinco indicadores de intervenções de saúde relacionadas à saúde reprodutiva e materna, à fertilidade das adolescentes e às taxas de mortalidade neonatal e de menores de cinco anos. As desigualdades nesses indicadores foram então avaliadas, empregando medidas absolutas e relativas. Resultados: Gradientes geográficos de saúde nos níveis subnacionais foram observados na maioria dos países para quase todos os indicadores referentes às mulheres e à população infantil e adolescente. A cobertura das principais intervenções foi maior nas áreas urbanas e nos quintis mais ricos do que nas áreas rurais e nos quintis mais pobres. As análises por idade das mulheres mostraram que a cobertura das adolescentes era inferior à cobertura das mulheres adultas no que se refere aos indicadores de planejamento familiar. Além disso, foram observadas desigualdades na mortalidade que favoreciam as áreas urbanas e os ricos, na maioria dos países. Conclusões: As médias regionais mascaram desigualdades significativas na saúde entre os países, mas as estimativas nacionais mascaram desigualdades ainda maiores entre os subgrupos de mulheres, crianças e adolescentes. Para alcançar as metas do ODS 3 e não deixar ninguém para trás, é essencial abordar não apenas as lacunas da desigualdade em saúde entre os países, mas também dentro deles.

Desigualdades relacionadas con el ODS 3 en la salud de las mujeres, los niños y los adolescentes: línea de base para el monitoreo de los ODS en América Latina y el Caribe por medio de encuestas transversales nacionales

[RESUMEN]. Objetivos. Los países de América Latina y el Caribe han realizado importantes avances hacia la consecución de las metas del Objetivo de Desarrollo Sostenible relacionado con la salud (ODS 3) a escala nacional. Sin embargo, persisten enormes desigualdades en salud en los países. Se presenta una línea de base de las desigualdades en salud en la región, contra la cual se puede monitorear el progreso hacia los ODS. Contexto. Se estudiaron 21 países de América Latina y el Caribe usando datos de encuestas de demografía y salud y encuestas de indicadores múltiples por conglomerados realizadas del 2011 al 2016. Participantes. En las encuestas se recopilan datos representativos a nivel nacional de mujeres y niños por medio del muestreo polietápico. En total, 288 207 mujeres y 195 092 niños participaron en las encuestas en los 21 países. Medición de los resultados. Se estudiaron cinco indicadores de intervenciones de salud relacionadas con la salud reproductiva y materna, la fecundidad de las adolescentes y las tasas de mortalidad neonatal y de menores de 5 años. Después se evaluaron las desigualdades en estos indicadores por medio de mediciones absolutas y relativas. Resultados. En la mayoría de los países se observaron gradientes geográficos en salud a escala subnacional en casi todos los indicadores correspondientes a las mujeres y la población infantil y adolescente. La cobertura de las principales intervenciones fue mayor en las zonas urbanas y los quintiles más ricos que en las zonas rurales y los quintiles más pobres. Los análisis por edad de la mujer mostraron que la cobertura de las adolescentes era menor que la cobertura de las mujeres adultas en lo que se refiere a los indicadores de planificación familiar. En la mayoría de los países se observaron también desigualdades en la mortalidad que favorecían a las zonas urbanas y a los ricos. Conclusiones. Los promedios regionales ocultan importantes desigualdades en salud entre los países, pero las estimaciones nacionales ocultan desigualdades incluso mayores entre subgrupos de mujeres, niños y adolescentes. Para alcanzar las metas del ODS 3 y no dejar a nadie atrás es esencial subsanar no solo las brechas de la desigualdad en salud entre los países sino también dentro de ellos.

[ABSTRACT]. Objectives. Latin America and the Caribbean (LAC) countries have made important progress towards achieving the Sustainable Development Goal (SDG) targets related to health (SDG3) at the national level. However, vast within-country health inequalities remain. We present a baseline of health inequalities in the region, against which progress towards the SDGs can be monitored. Setting. We studied 21 countries in LAC using data from Demographic and Health Surveys and Multiple Indicator Cluster Survey carried out from 2011 to 2016. Participants. The surveys collect nationally representative data on women and children using multistage sampling. In total, 288 207 women and 195 092 children made part of the surveys in the 21 countries. Outcome measures. Five health intervention indicators were studied, related to reproductive and maternal health, along with adolescent fertility and neonatal and under-five mortality rates. Inequalities in these indicators were assessed through absolute and relative measures. Results. In most countries, subnational geographical health gradients were observed for nearly all women, child, and adolescent (WCA) indicators. Coverage of key interventions was higher in urban areas and among the richest, compared with rural areas and poorer quintiles. Analyses by woman’s age showed that coverage was lower in adolescent girls than older women for family planning indicators. Pro-urban and pro-rich inequalities were also seen for mortality in most countries. Conclusions. Regional averages hide important health inequalities between countries, but national estimates hide still greater inequalities between subgroups of women, children and adolescents. To achieve the SDG3 targets and leave no one behind, it is essential to close health inequality gaps within as well as between countries.

[RESUMO]. Objetivos. Os países da América Latina e do Caribe obtiveram avanços significativos rumo à consecução do Objetivo de Desenvolvimento Sustentável relacionado à saúde (ODS 3) no nível nacional. No entanto, enormes desigualdades em saúde persistem nos países. Apresenta-se uma linha de base das desigualdades em saúde na região, com referência à qual é possível monitorar o progresso rumo aos ODS. Contexto. Foram estudados 21 países da América Latina e do Caribe usando dados de pesquisas de demografia e saúde e pesquisas de grupos de indicadores múltiplos feitas de 2011 a 2016. Participantes. As pesquisas coletam dados nacionalmente representativos sobre mulheres e crianças, por meio de amostragem multietápica. No total, 288.207 mulheres e 195.092 crianças participaram das pesquisas nos 21 países. Medição dos resultados. Foram estudados cinco indicadores de intervenções de saúde relacionadas à saúde reprodutiva e materna, à fertilidade das adolescentes e às taxas de mortalidade neonatal e de menores de cinco anos. As desigualdades nesses indicadores foram então avaliadas, empregando medidas absolutas e relativas. Resultados. Gradientes geográficos de saúde nos níveis subnacionais foram observados na maioria dos países para quase todos os indicadores referentes às mulheres e à população infantil e adolescente. A cobertura das principais intervenções foi maior nas áreas urbanas e nos quintis mais ricos do que nas áreas rurais e nos quintis mais pobres. As análises por idade das mulheres mostraram que a cobertura das adolescentes era inferior à cobertura das mulheres adultas no que se refere aos indicadores de planejamento familiar. Além disso, foram observadas desigualdades na mortalidade que favoreciam as áreas urbanas e os ricos, na maioria dos países. Conclusões. As médias regionais mascaram desigualdades significativas na saúde entre os países, mas as estimativas nacionais mascaram desigualdades ainda maiores entre os subgrupos de mulheres, crianças e adolescentes. Para alcançar as metas do ODS 3 e não deixar ninguém para trás, é essencial abordar não apenas as lacunas da desigualdade em saúde entre os países, mas também dentro deles.

Exploring the potential for a new measure of socioeconomic deprivation status to monitor health inequality.

BACKGROUND: Monitoring health inequalities is an important task for health research and policy, to uncover who is being left behind - and where - and to inform effective and equitable policies and programmes to tackle existing inequities. The choice of which measure to use to monitor and analyse health inequalities is thereby not trivial. This article explores a new measure of socioeconomic deprivation status (SDS) to monitor health inequalities. METHODS: The SDS measure was constructed using the Alkire-Foster method. It includes eight indicators across two equally weighted dimensions (education and living standards) and specifies a four-level gradient of socioeconomic deprivation at the household-level. We conducted four exercises to examine the value-added of the proposed SDS measure, using Demographic and Health Surveys data. First, we examined the discriminatory power of the new measure when applied to outcomes in four select reproductive, maternal, neonatal, and child health (RMNCH) indicators across six countries: skilled birth attendance, stunting, U5MR, and DTP3 immunisation. Then, we analysed the behaviour and association of the new SDS measure vis-à-vis the DHS Wealth Index, including chi-squared test and Pearson correlation coefficient. Third, we analysed the robustness of the SDS measure results to changes in its structure, using pairwise comparisons and Kendal Tau-b rank correlation. Finally, we illustrated some of the advantageous properties of the new measure, disaggregation and decomposition, on Haitian data. RESULTS: 1) Higher levels of socioeconomic deprivation are generally consistently associated with lower levels of achievements in the RMNCH indicators across countries. 2) 87% of all pairwise rank comparisons across a range of SDS measure structures were robust. 3) SDS and DHS Wealth Index are associated, but with considerable cross-country variation, highlighting their complementarity. 4) Haitian households in rural areas experienced, on average, more severe socioeconomic deprivation as well as lower levels of RMNCH achievement than urban households. CONCLUSIONS: The proposed SDS measure adds analytical possibilities to the health inequality monitoring literature, in line with ethically and conceptually well-founded notions of absolute, multidimensional disadvantage. In addition, it allows for breakdown by its dimensions and components, which may facilitate nuanced analyses of health inequality, its correlates, and determinants.

Desigualdades relacionadas con el ODS 3 en la salud de las mujeres, los niños y los adolescentes: línea de base para el monitoreo de los ODS en América Latina y el Caribe por medio de encuestas transversales nacionales / SDG3-related inequalities in women's, children's and adolescents' health: an SDG monitoring baseline for Latin America and the Caribbean using national cross-sectional surveys / Desigualdades relacionadas ao ODS 3 na saúde da mulher, da criança e do adolescente: linha de base para o monitoramento do ODS na América Latina e no Caribe por meio de pesquisas transversais nacionais

RESUMEN Objetivos. Los países de América Latina y el Caribe han realizado importantes avances hacia la consecución de las metas del Objetivo de Desarrollo Sostenible relacionado con la salud (ODS 3) a escala nacional. Sin embargo, persisten enormes desigualdades en salud en los países. Se presenta una línea de base de las desigualdades en salud en la región, contra la cual se puede monitorear el progreso hacia los ODS. Contexto. Se estudiaron 21 países de América Latina y el Caribe usando datos de encuestas de demografía y salud y encuestas de indicadores múltiples por conglomerados realizadas del 2011 al 2016. Participantes. En las encuestas se recopilan datos representativos a nivel nacional de mujeres y niños por medio del muestreo polietápico. En total, 288 207 mujeres y 195 092 niños participaron en las encuestas en los 21 países. Medición de los resultados. Se estudiaron cinco indicadores de intervenciones de salud relacionadas con la salud reproductiva y materna, la fecundidad de las adolescentes y las tasas de mortalidad neonatal y de menores de 5 años. Después se evaluaron las desigualdades en estos indicadores por medio de mediciones absolutas y relativas. Resultados. En la mayoría de los países se observaron gradientes geográficos en salud a escala subnacional en casi todos los indicadores correspondientes a las mujeres y la población infantil y adolescente. La cobertura de las principales intervenciones fue mayor en las zonas urbanas y los quintiles más ricos que en las zonas rurales y los quintiles más pobres. Los análisis por edad de la mujer mostraron que la cobertura de las adolescentes era menor que la cobertura de las mujeres adultas en lo que se refiere a los indicadores de planificación familiar. En la mayoría de los países se observaron también desigualdades en la mortalidad que favorecían a las zonas urbanas y a los ricos. Conclusiones. Los promedios regionales ocultan importantes desigualdades en salud entre los países, pero las estimaciones nacionales ocultan desigualdades incluso mayores entre subgrupos de mujeres, niños y adolescentes. Para alcanzar las metas del ODS 3 y no dejar a nadie atrás es esencial subsanar no solo las brechas de la desigualdad en salud entre los países sino también dentro de ellos.

ABSTRACT Objectives. Latin America and the Caribbean (LAC) countries have made important progress towards achieving the Sustainable Development Goal (SDG) targets related to health (SDG3) at the national level. However, vast within-country health inequalities remain. We present a baseline of health inequalities in the region, against which progress towards the SDGs can be monitored. Setting. We studied 21 countries in LAC using data from Demographic and Health Surveys and Multiple Indicator Cluster Survey carried out from 2011 to 2016. Participants. The surveys collect nationally representative data on women and children using multistage sampling. In total, 288 207 women and 195 092 children made part of the surveys in the 21 countries. Outcome measures. Five health intervention indicators were studied, related to reproductive and maternal health, along with adolescent fertility and neonatal and under-five mortality rates. Inequalities in these indicators were assessed through absolute and relative measures. Results. In most countries, subnational geographical health gradients were observed for nearly all women, child, and adolescent (WCA) indicators. Coverage of key interventions was higher in urban areas and among the richest, compared with rural areas and poorer quintiles. Analyses by woman's age showed that coverage was lower in adolescent girls than older women for family planning indicators. Pro-urban and pro-rich inequalities were also seen for mortality in most countries. Conclusions. Regional averages hide important health inequalities between countries, but national estimates hide still greater inequalities between subgroups of women, children and adolescents. To achieve the SDG3 targets and leave no one behind, it is essential to close health inequality gaps within as well as between countries.

RESUMO Objetivos. Os países da América Latina e do Caribe obtiveram avanços significativos rumo à consecução do Objetivo de Desenvolvimento Sustentável relacionado à saúde (ODS 3) no nível nacional. No entanto, enormes desigualdades em saúde persistem nos países. Apresenta-se uma linha de base das desigualdades em saúde na região, com referência à qual é possível monitorar o progresso rumo aos ODS. Contexto. Foram estudados 21 países da América Latina e do Caribe usando dados de pesquisas de demografia e saúde e pesquisas de grupos de indicadores múltiplos feitas de 2011 a 2016. Participantes. As pesquisas coletam dados nacionalmente representativos sobre mulheres e crianças, por meio de amostragem multietápica. No total, 288.207 mulheres e 195.092 crianças participaram das pesquisas nos 21 países. Medição dos resultados. Foram estudados cinco indicadores de intervenções de saúde relacionadas à saúde reprodutiva e materna, à fertilidade das adolescentes e às taxas de mortalidade neonatal e de menores de cinco anos. As desigualdades nesses indicadores foram então avaliadas, empregando medidas absolutas e relativas. Resultados. Gradientes geográficos de saúde nos níveis subnacionais foram observados na maioria dos países para quase todos os indicadores referentes às mulheres e à população infantil e adolescente. A cobertura das principais intervenções foi maior nas áreas urbanas e nos quintis mais ricos do que nas áreas rurais e nos quintis mais pobres. As análises por idade das mulheres mostraram que a cobertura das adolescentes era inferior à cobertura das mulheres adultas no que se refere aos indicadores de planejamento familiar. Além disso, foram observadas desigualdades na mortalidade que favoreciam as áreas urbanas e os ricos, na maioria dos países. Conclusões. As médias regionais mascaram desigualdades significativas na saúde entre os países, mas as estimativas nacionais mascaram desigualdades ainda maiores entre os subgrupos de mulheres, crianças e adolescentes. Para alcançar as metas do ODS 3 e não deixar ninguém para trás, é essencial abordar não apenas as lacunas da desigualdade em saúde entre os países, mas também dentro deles.

Population-level seropositivity trend for SARS-Cov-2 in Rio Grande do Sul, Brazil.

OBJECTIVE: To describe the evolution of seropositivity in the State of Rio Grande do Sul, Brazil, through 10 consecutive surveys conducted between April 2020 and April 2021. METHODS: Nine cities covering all regions of the State were studied, 500 households in each city. One resident in each household was randomly selected for testing. In survey rounds 1-8 we used the rapid WONDFO SARS-CoV-2 Antibody Test (Wondfo Biotech Co., Guangzhou, China). In rounds 9-10, we used a direct ELISA test that identifies IgG to the viral S protein (S-UFRJ). In terms of social distancing, individuals were asked three questions, from which we generated an exposure score using principal components analysis. RESULTS: Antibody prevalence in early April 2020 was 0.07%, increasing to 10.0% in February 2021, and to 18.2% in April 2021. In round 10, self-reported whites showed the lowest seroprevalence (17.3%), while indigenous individuals presented the highest (44.4%). Seropositivity increased by 40% when comparing the most with the least exposed. CONCLUSIONS: The proportion of the population already infected by SARS-Cov-2 in the state is still far from any perspective of herd immunity and the infection affects population groups in very different levels.

SDG3-related inequalities in women's, children's and adolescents' health: an SDG monitoring baseline for Latin America and the Caribbean using national cross-sectional surveys.

OBJECTIVES: Latin America and the Caribbean (LAC) countries have made important progress towards achieving the Sustainable Development Goal (SDG) targets related to health (SDG3) at the national level. However, vast within-country health inequalities remain. We present a baseline of health inequalities in the region, against which progress towards the SDGs can be monitored. SETTING: We studied 21 countries in LAC using data from Demographic and Health Surveys and Multiple Indicator Cluster Survey carried out from 2011 to 2016 PARTICIPANTS: The surveys collect nationally representative data on women and children using multistage sampling. In total, 288 207 women and 195 092 children made part of the surveys in the 21 countries. OUTCOME MEASURES: Five health intervention indicators were studied, related to reproductive and maternal health, along with adolescent fertility and neonatal and under-five mortality rates. Inequalities in these indicators were assessed through absolute and relative measures. RESULTS: In most countries, subnational geographical health gradients were observed for nearly all women, child, and adolescent (WCA) indicators. Coverage of key interventions was higher in urban areas and among the richest, compared with rural areas and poorer quintiles. Analyses by woman's age showed that coverage was lower in adolescent girls than older women for family planning indicators. Pro-urban and pro-rich inequalities were also seen for mortality in most countries. CONCLUSIONS: Regional averages hide important health inequalities between countries, but national estimates hide still greater inequalities between subgroups of women, children and adolescents. To achieve the SDG3 targets and leave no one behind, it is essential to close health inequality gaps within as well as between countries.

Influenza vaccination in older adults during the COVID-19 pandemic: a population-based study in 133 Brazilian cities. / Vacinação para influenza em idosos na pandemia COVID-19: estudo de base populacional em 133 cidades brasileiras.

Routine immunization during pandemics can be harmed. This study estimated the influenza vaccination coverage in older adults during the COVID-19 through the EPICOVID-19, a population-based study conducted in 133 cities from the 26 Brazilian states and Federal District. We selected 25 census tracts per city, with probability proportional to the tract's size, ten households by census tract, and one random individual interviewed. A total of 8,265 older adults (≥60 years old) were interviewed and asked whether they had been vaccinated against flu in 2020. Vaccination coverage was 82.3% (95% CI: 80.1-84.2) with no difference by gender, age, and region; higher vaccination coverage was observed among the wealthiest (84.7% versus 80.1% in the poorest) and among the more educated (87.3% versus 83.2% less educated); lower coverage among indigenous (56.9% versus > 80% among other ethnic groups). A positive association was identified with the number of comorbidities among men but not among women. Most of the population was vaccinated (97.5%) in the public health system. The private network was chosen mainly in the South by the wealthiest and more educated. Vaccination coverage was seven percentage points lower than the government target (90%), and inequalities should be reversed in future campaigns.

Imunizações de rotina durante pandemias podem ser prejudicadas. Este estudo estimou a cobertura vacinal para influenza em idosos durante a COVID-19 através do EPICOVID-19, inquérito populacional realizado em 133 cidades sentinelas dos 26 estados brasileiros e Distrito Federal. Selecionou-se 25 setores censitários por cidade, amostragem proporcional ao tamanho, dez domicílios por setor e uma pessoa por domicílio, aleatoriamente. O quantitativo de 8.265 idosos (≥ 60 anos) foram entrevistados e responderam se haviam sido vacinados contra gripe em 2020. A cobertura foi 82,3% (IC95% 80,1; 84,2), sem diferenças por sexo, idade ou região. Maiores coberturas ocorreram nos mais ricos (84,7% versus 80,1% nos mais pobres) e nos mais escolarizados (87,3% versus 83,2% nos menos escolarizados). Menor cobertura nos indígenas (56,9% versus coberturas superiores a 80% nos demais grupos étnicos). Houve associação positiva com número de comorbidades entre homens, mas não entre mulheres. A maioria vacinou-se na rede pública (97,5%), sendo a rede privada mais utilizada na região Sul, pelos mais escolarizados e mais ricos. Conclui-se que a cobertura vacinal ficou sete pontos percentuais abaixo da meta governamental (90%), e que desigualdades devem ser revertidas em futuras campanhas.

Time-dependent decay of detectable antibodies against SARS-CoV-2: A comparison of ELISA with two batches of a lateral-flow test.

BACKGROUND: Large-scale epidemiological studies of seroprevalence of antibodies against SARS-CoV-2 often rely on point-of-care tests that provide immediate results to participants. Yet, little is known on how long rapid tests remain positive after the COVID-19 episode, or how much variability exists across different brands and even among batches of the same test. METHODS: In November 2020, we assessed the sensitivity of three tests applied to 133 individuals with a previous positive PCR result between April and October. All subjects provided finger prick blood samples for two batches (A and B) of the Wondfo lateral-flow IgG/IgM test, and dried blood spot samples for the S-UFRJ ELISA test. RESULTS: Overall sensitivity levels were 92.5% (95% CI 86.6-96.3), 63.2% (95% CI 54.4-71.4) and 33.8% (95% CI 25.9-42.5) for the S-UFRJ test, Wondfo A and Wondfo B tests, respectively. There was no evidence of a decline in the positivity of S-UFRJ with time since the diagnosis, but the two Wondfo batches showed sharp reductions to as low as 41.9% and 19.4%, respectively, for subjects with a positive PCR in June or earlier. Positive results for batch B of the rapid test were 35% to 54% lower than for batch A at any given month of diagnosis. INTERPRETATION: Whereas the ELISA test showed high sensitivity and stability of results over the five months of the study, both batches of the rapid test showed substantial declines, with one of the batches consistently showing lower sensitivity levels than the other. ELISA tests based on dried-blood spots are an inexpensive alternative to rapid lateral-flow tests in large-scale epidemiological studies. FUNDING: The study was funded by the "Todos Pela Saúde" initiative, Instituto Serrapilheira, Brazilian Ministry of Health, Brazilian Collective Health Association (ABRASCO) and the JBS S.A. initiative 'Fazer o Bem Faz Bem'.

Vacinação para influenza em idosos na pandemia COVID-19: estudo de base populacional em 133 cidades brasileiras / Influenza vaccination in older adults during the COVID-19 pandemic: a population-based study in 133 Brazilian cities

Resumo Imunizações de rotina durante pandemias podem ser prejudicadas. Este estudo estimou a cobertura vacinal para influenza em idosos durante a COVID-19 através do EPICOVID-19, inquérito populacional realizado em 133 cidades sentinelas dos 26 estados brasileiros e Distrito Federal. Selecionou-se 25 setores censitários por cidade, amostragem proporcional ao tamanho, dez domicílios por setor e uma pessoa por domicílio, aleatoriamente. O quantitativo de 8.265 idosos (≥ 60 anos) foram entrevistados e responderam se haviam sido vacinados contra gripe em 2020. A cobertura foi 82,3% (IC95% 80,1; 84,2), sem diferenças por sexo, idade ou região. Maiores coberturas ocorreram nos mais ricos (84,7% versus 80,1% nos mais pobres) e nos mais escolarizados (87,3% versus 83,2% nos menos escolarizados). Menor cobertura nos indígenas (56,9% versus coberturas superiores a 80% nos demais grupos étnicos). Houve associação positiva com número de comorbidades entre homens, mas não entre mulheres. A maioria vacinou-se na rede pública (97,5%), sendo a rede privada mais utilizada na região Sul, pelos mais escolarizados e mais ricos. Conclui-se que a cobertura vacinal ficou sete pontos percentuais abaixo da meta governamental (90%), e que desigualdades devem ser revertidas em futuras campanhas.

Abstract Routine immunization during pandemics can be harmed. This study estimated the influenza vaccination coverage in older adults during the COVID-19 through the EPICOVID-19, a population-based study conducted in 133 cities from the 26 Brazilian states and Federal District. We selected 25 census tracts per city, with probability proportional to the tract's size, ten households by census tract, and one random individual interviewed. A total of 8,265 older adults (≥60 years old) were interviewed and asked whether they had been vaccinated against flu in 2020. Vaccination coverage was 82.3% (95% CI: 80.1-84.2) with no difference by gender, age, and region; higher vaccination coverage was observed among the wealthiest (84.7% versus 80.1% in the poorest) and among the more educated (87.3% versus 83.2% less educated); lower coverage among indigenous (56.9% versus > 80% among other ethnic groups). A positive association was identified with the number of comorbidities among men but not among women. Most of the population was vaccinated (97.5%) in the public health system. The private network was chosen mainly in the South by the wealthiest and more educated. Vaccination coverage was seven percentage points lower than the government target (90%), and inequalities should be reversed in future campaigns.

Slow Spread of SARS-CoV-2 in Southern Brazil Over a 6-Month Period: Report on 8 Sequential Statewide Serological Surveys Including 35 611 Participants.

Objectives. To evaluate the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) over 6 months in the Brazilian State of Rio Grande do Sul (population 11.3 million), based on 8 serological surveys. Methods. In each survey, 4151 participants in round 1 and 4460 participants in round 2 were randomly sampled from all state regions. We assessed presence of antibodies against SARS-CoV-2 using a validated lateral flow point-of-care test; we adjusted figures for the time-dependent decay of antibodies. Results. The SARS-CoV-2 antibody prevalence increased from 0.03% (95% confidence interval [CI] = 0.00%, 0.34%; 1 in every 3333 individuals) in mid-April to 1.89% (95% CI = 1.36%, 2.54%; 1 in every 53 individuals) in early September. Prevalence was similar across gender and skin color categories. Older adults were less likely to be infected than younger participants. The proportion of the population who reported leaving home daily increased from 21.4% (95% CI = 20.2%, 22.7%) to 33.2% (95% CI = 31.8%, 34.5%). Conclusions. SARS-CoV-2 infection increased slowly during the first 6 months in the state, differently from what was observed in other Brazilian regions. Future survey rounds will continue to document the spread of the pandemic.