The quality of alternative models of primary health care and morbidity and mortality in Brazil: a national longitudinal analysis

Nurse-community health mediator pairs: a promising model for promoting the health of populations in remote areas of the French Amazon

Multicultural Amazonian populations in remote areas of French Guiana face challenges in accessing healthcare and preventive measures. They are geographically and administratively isolated. Health mediation serves as an interface between vulnerable people and the professionals involved in their care. This approach aims to improve the health of Amazonian populations by addressing their unique challenges, including social and health vulnerabilities, as well as language and cultural barriers. A Mobile Public Health Team (MPHT) relying on health mediation was created in 2019. Comprising six nurse-community-health mediator pairs who receive ongoing specialised training, along with a coordination team of one physician and two public health nurses, the MPHT is connected to the 17 Prevention and Care Remote Centres across the territory. This article presents a community case study of the MPHT of the remote areas in French Guiana and the description of the activities of this health promotion programme in the context of the COVID-19 pandemic in 2021. The MPHT carried out health promotion initiatives, often in collaboration with partners, focusing on health priorities of the Amazonian territories. The interventions were co-designed with community leaders and local populations to ensure relevance and effectiveness. In response to the COVID-19 pandemic, the MPHT reached over 6,000 individuals in addition to more than 3,000 participants in a water, hygiene and sanitation education programme. The team performed 83 health promotion interventions on eight different topics, including 28 in the general population (922 people reached) and 55 in schools (n = 930). The MPHT produced 20 communication tools, which were adapted and translated into eight languages. The team also participated in managing six simultaneous epidemic events, including malaria, diphtheria, and tuberculosis. This study highlights how the combined expertise of healthcare professionals and the mediation skills of community health workers effectively addressed the specific health needs of the multicultural Amazonian populations. This model for addressing social and health inequities should encourage institutional recognition of the community health mediator model.

Risk assessment of dietary factors in global pattern of ischemic heart disease mortality and disability-adjusted life years over 30 years

Objectives

The aim of this study was to investigate differences in the burden of ischemic heart disease (IHD)-related mortality and disability-adjusted life years (DALYs) caused by dietary factors, as well as the influencing factors with age, period, and cohort effects, in regions with different social-demographic status from 1990 to 2019.

Methods

We extracted data on IHD mortality, DALYs, and age-standardized rates (ASRs) related to dietary risks from 1990 to 2019 as IHD burden measures. Hierarchical age-period-cohort analysis was used to analyze age- and time-related trends and the interaction between different dietary factors on the risk of IHD mortality and DALYs.

Results

Globally, there were 9.2 million IHD deaths and 182 million DALYs in 2019. Both the ASRs of death and DALYs declined from 1990 to 2019 (percentage change: -30.8% and -28.6%, respectively), particularly in high and high-middle socio-demographic index (SDI) areas. Low-whole-grain, low-legume, and high-sodium diets were the three main dietary factors that increased the risk of IHD burden. Advanced age [RR (95%CI): 1.33 (1.27, 1.39)] and being male [1.11 (1.06, 1.16)] were independent risk factors for IHD mortality worldwide and in all SDI regions. After controlling for age effects, IHD risk showed a negative period effect overall. Poor diets were positively associated with increased risk of death but were not yet statistically significant. Interactions between dietary factors and advanced age were observed in all regions after adjusting for related variables. In people aged 55 and above, low intake of whole grains was associated with an increased risk of IHD death [1.28 (1.20, 1.36)]. DALY risks showed a similar but more obvious trend.

Conclusion

IHD burden remains high, with significant regional variations. The high IHD burden could be attributed to advanced age, sex (male), and dietary risk factors. Dietary habits in different SDI regions may have varying effects on the global burden of IHD. In areas with lower SDI, it is recommended to pay more attention to dietary problems, particularly in the elderly, and to consider how to improve dietary patterns in order to reduce modifiable risk factors.

Inequalities in unmet need for health care services and medications in Brazil: a decomposition analysis

Background

Unmet need is a metric used to assess the performance of health care systems throughout the world. One of the primary objectives of the Brazilian health care system is to identify ways to improve the health outcomes of all citizens. To accomplish this challenging goal, the health care system in Brazil will need to identify and eliminate barriers and provide timely and adequate access to health care services to all.

Methods

This study assessed the performance of the Brazilian health care system by focusing on the unmet need for health care services and medications. We evaluated the Brazilian National Health Survey data collected in 2013 and 2019 to determine the magnitude of socioeconomic-related inequalities associated with unmet health care needs. Primary contributing factors were identified via decomposition analysis of the calculated concentration indices (CInds).

Findings

Despite the availability of universal health care, 3.8% and 7.5% of the population in Brazil reported unmet needs for health care services and medications, respectively in the 2019 survey. Although the overall unmet need for medications remained unchanged between 2013 and 2019, CInd analysis revealed significant pro-poor inequalities with respect to unmet needs for both health care services and medications. The overall magnitude of these inequalities was higher in the poorer regions of the country. The use of private health insurance as well as individual health and socioeconomic status contributed significantly to the inequalities associated with unmet needs for health care services and medication throughout Brazil.

Interpretations

Policy interventions should focus on improving access to health care services, extending coverage to include pharmaceuticals, and targeting both financial and non-financial barriers to obtaining care, particularly those experienced by the poor and vulnerable populations in Brazil.

Funding

None.

Persistent inequalities in health care services utilisation in Brazil (1998-2019)

BACKGROUND

One of the primary objectives of the Brazilian health care system is to improve the health and well-being of all citizens. Since the establishment of the Unified Health System/Sistema Único de Saúde (SUS) in 1988, Brazil has made strides towards reducing inequalities in health care services utilisation. However, there are currently no comprehensive and up-to-date studies focused on inequalities in both curative and preventive health care services utilisation.

METHODS

We evaluated data from the National Household Sample Survey and the Brazilian National Health Survey, which are two nationally representative studies that include findings from 1998, 2003, and 2008 and 2013 and 2019, respectively. We calculated Erreygers-corrected Concentration Indices (CInds) to evaluate the magnitude of socioeconomic-related inequalities associated with five indicators of health care services utilisation, including physician visits, hospital admissions, surgical procedures, Pap smears, and mammograms. The main factors associated with these inequalities were identified via a decomposition analysis of the calculated CInds.

RESULTS

While the results of our analysis revealed persistent inequalities in health care services utilisation that favour the wealthy, we found that the overall magnitude of these inequalities decreased over time. The largest inequalities were observed in the utilisation of preventive care services (Pap smears and mammograms) and services available in the poorest regions of the country. Except for admissions for labour and delivery, our findings revealed that wealthier individuals were more likely to utilise hospital services; this represents a change from findings reported in previous years. Private health insurance coverage and individual socioeconomic status are significantly associated with inequalities in health care services utilisation throughout Brazil.

CONCLUSIONS

Collectively, our findings suggest that we must continue to monitor potential inequalities in health care service utilisation to determine whether Brazilian policy objectives focused on improved health outcomes for all will ultimately be achieved.

Socioeconomic and racial/ethnic inequalities in depression prevalence and the treatment gap in Brazil: A decomposition analysis

Depression is a major global health burden and there are stark socioeconomic inequalities in both the prevalence of depression and access to treatment for depression. In Brazil, racial/ethnic inequalities are of particular concern, but the factors contributing to these inequalities remain mostly unknown. This paper firstly explores determinants of depression and the treatment gap (i.e., untreated afflicted individuals) in Brazil and identifies if socio-economic and health system factors explain changes over time. Secondly, it analyses income and racial/ethnic inequalities in depression and the treatment gap and identifies factors explaining inequalities through decomposition methods. Data from two waves (2013 and 2019) of a representative household-based survey are used. In 2019, 10.8% of adults were depressed, but over 70% of depressed adults did not receive care. Black or brown/mixed Brazilians were more likely to have untreated depression, and region of residence was the most important determinant of these racial/ethnic inequalities. Notably, 44.6% of the difference in the treatment gap between white individuals and black and brown/mixed individuals was not explained by differences in observables, which could potentially be due to discrimination or difficulties in accessing treatment due to other non-observable characteristics. Employment, age, exposure to violence and physical activity are the main contributing factors to income inequalities in depression. These results suggest that policies aimed at improving the levels of exposure of lower-income individuals to risk factors may positively impact mental health and mental health inequalities, while addressing inequalities in service provision and resourcing for mental health and tackling barriers to access stemming from discrimination are essential to bridge the treatment gap equitably.