Financing needs, spending projection, and the future of health in Brazil

Is primary health care worth it in the long run? Evidence from Brazil

This paper assesses whether Brazilian primary health care is worth it in the long-run by estimating the accumulated costs and benefits of its flagship, the Family Health Strategy program (ESF). We employ an alternative strategy centered on years of exposure to the program to incorporate its dynamics. We also account for the program's heterogeneity with respect to the remuneration of ESF health teams and the intensity of coverage across Brazilian municipalities, measure by the number of people assisted by each ESF team, on average. To address heterogeneity in professional earnings, this paper employs, for the first time, a dataset containing the remuneration of professionals allocated to all ESF teams nationwide. The benefits are measured by the avoided deaths and hospitalizations due to causes sensitive to primary care. Results suggest that the net monetary benefit of the program is positive on average, with an optimum time of exposure of approximately 16 years. Significant heterogeneities in cost-benefit results were found since costs outweigh benefits in localities where the coverage is low intensive. On the other hand, the benefits outweigh the costs by 22.5% on average in municipalities with high intensive coverage.

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.