Snakebite envenoming in Brazilian children: clinical aspects, management and outcomes.

Snakebite envenoming is currently considered a neglected tropical disease, which affects over 5 million people worldwide, and causes almost 150 000 deaths every year, as well as severe injuries, amputations and other sequelae. Snakebite envenoming in children, although proportionally less frequent, is generally more severe, and represents an important challenge for pediatric medicine, since they often result in worse outcomes. In Brazil, given its ecological, geographic and socioeconomic characteristics, snakebites are considered an important health problem, presenting approximately 30 000 victims per year, approximately 15% of them in children. Even with low snakebite incidence, children tend to have higher snakebite severity and complications due to the small body mass and same venom volume inoculated in comparison to adults, even though, due to the lack of epidemiological information about pediatric snakebites and induced injuries, it is difficult to measure the treatment effectiveness, outcomes and quality of emergency medical services for snakebites in children. In this review, we report how Brazilian children are affected by snakebites, describing the characteristics of this affected population, clinical aspects, management, outcomes and main challenges.

Impact of socioeconomic factors and health determinants on preterm birth in Brazil: a register-based study.

BACKGROUND: More than 15 million children are born preterm annually. While preterm survival rates have increased in high-income countries. Low- and middle-income countries, like Brazil, continue to battle high neonatal mortality rates due to a lack of adequate postnatal care. Globally, neonatal mortality is higher for preterm infants compared to those born at term. Our study aims to map and analyze the spatial, socioeconomic, and health coverage determinants related to preterm birth in Brazil in order to understand how spatial variations in demographics and access to primary care may affect preterm birth occurrences.  METHODS: Using publicly available national-level data from the Brazilian health system for 2008-2017, we conducted an ecological study to visualize the spatial distributions of preterm birth along with socioeconomic status, the structure of health services, and primary care work process, each consisting of multiple variables reduced via principal component analysis. Regression models were created to determine predictive effects of numeric and spatial variation of these scores on preterm birth rates. RESULTS: In Brazil, preterm birth rates increased from 2008-2017, with small and rural municipalities frequently exhibiting higher rates than urban areas. Scores in socioeconomic status and work process were significant predictors of preterm birth rates, without taking into account spatial adjustment, with more positive scores in socioeconomic status predicting higher preterm birth rates (coefficient 0.001145) and higher scores in work process predicting lower preterm birth rates (coefficient -0.002416). Geographically weighted regression showed socioeconomic status to be a more significant predictor in the North, with the work process indicators being most significant in the Northeast. CONCLUSIONS: Results support that primary care work process indicators are more significant in estimating preterm birth rates than physical structures available for care. These results emphasize the importance of ensuring the presence of the minimum human resources needed, especially in the most deprived areas of Brazil. The association between social determinants of health and preterm birth rates raises questions regarding the importance of policies dedicated to foster equity in the accessibility of healthcare services, and improve income as protective proxies for preterm birth.

Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study.

OBJECTIVE: To analyze the effect and efficiency of the characteristics of PHC facilities' structures and the work process of PHC teams on late neonatal mortality (LNM). METHODS: This ecological time-series study adopted 3.764 Brazilian municipalities as analysis units. The independent variables were sorted into three hierarchical levels and four blocks. The distal level consisted of economic and demographic variables; the intermediate level comprised health coverage and demand for services; and the proximal level included structure and work process. The dependent variable was LNM. A linear mixed-effects regression analysis with a hierarchical approach was performed, estimating the crude (ß) and adjusted (alpha = 5%) regression coefficients. Data involution analysis and municipalities were the decision-making unit according to their strata. RESULTS: LNM was directly associated with the number of live births and unemployment rate. LNM was inversely associated with the year, per capita income, the community health worker's strategy coverage, vaginal delivery, household visits, and available vaccines. In the 2002-2014 period, the number of municipalities efficient in reducing LNM dropped from 38 to 27. In 2014, a more significant investment occurred in the number of vaginal deliveries in almost all strata to make inefficient municipalities efficient. CONCLUSION FOR PRACTICE: The deaths of children aged 7-28 days are affected by the characteristics of the PHC structure and work process.

Bolsa Família Program and deaths from oral cancer in Brazil: an ecological study.

Objective: To assess the effect of coverage of the Bolsa Família Program (BFP) on oral cancer mortality rates in Brazil between 2005 and 2017, adjusting for health care coverage and socioeconomic characteristics of the Brazilian federative units. Methods: This is an ecological study using annual data (2005-2017) from all the Brazilian federative units. The dependent variable for this study was the oral cancer mortality rate, standardized by gender and age using the direct standardization technique. BFP coverage was the main independent variable, calculated as the ratio of the number of BFP beneficiaries to those families that should potentially be entitled to this conditional cash transfer. Socioeconomic background and health care coverage were covariables. Choropleth maps were drawn, and space-time cube analysis was used to assess changes in the spatiotemporal distribution of BFP and oral cancer mortality rates. Mixed-effects linear regression analysis estimated the coefficients (ß) and 95% confidence intervals (CI) for the association between BFP coverage and oral cancer mortality rates. Results: BFP coverage trends increased and oral cancer mortality rate trends stabilized in Brazilian federative units, except for Maranhão, Goiás, and Minas Gerais, where the oral cancer mortality rates have increased. In the adjusted model, greater BFP coverage was associated with lower oral cancer mortality rates (ß -2.10; 95% CI [-3.291, -0.919]). Conclusions: Egalitarian strategies such as BFP can reduce the oral cancer mortality rate. We recommend the follow-up of families benefiting from conditional cash transfer program by oral health teams to reduce the oral cancer mortality rate.

[Factors associated with hospitalizations for primary care-sensitive conditions in Brazil: an ecological studyFactores asociados a las hospitalizaciones infantiles por afecciones que podrían tratarse en la atención primaria en Brasil: estudio ecológico]. / Fatores associados às internações infantis por condições sensíveis à atenção primária no Brasil: estudo ecológico.

Objective: To investigate whether structural aspects of primary care units (PCUs) and the work processes of primary care teams are associated with the rate of hospitalizations for primary care-sensitive conditions (HPCSC) in children younger than 5 years of age in Brazil. Method: For this longitudinal ecological study, secondary data were obtained from the Brazilian Hospital Information System and from three cycles of the National Program for Access and Quality Improvement in Primary Care (PMAQ-AB) (2012, 2014, 2017/2018). The analysis included 42 916 PCUs. A multilevel random intercept model with fixed slope was used. In the first level, the outcome (HPCSC rates) and explanatory variables (structure and process indicators) aggregated by PCU were analyzed. Social determinants (represented by a stratification criterion combining municipality population and health care management indicators) were entered in the second level. The t test with Bonferroni correction was used to compare indicator means between regions, and multilevel linear regression was used to estimate the correlation coefficients. Results: The HPCSC rate in children younger than 5 years was 62.78/100 thousand population per estimated PCU coverage area. A direct association with the outcome was observed for: participation in one or more PMAQ-AB cycles; team planning; special hours; dedicated pediatric care area; and availability of vaccines. Equipment, materials, supplies, and being a small or medium-size municipality were inversely associated with HPCSC. Conclusions: HPCSC rates in children below 5 years of age may potentially be reduced through improvements in PCU structure and process indicators and in municipal social determinants.

Objetivo: Determinar la asociación de la estructura de las unidades básicas de salud (UBS) y del proceso de trabajo de los equipos de atención primaria con los determinantes sociales y las tasas de hospitalización por afecciones que podrían tratarse en la atención primaria en menores de 5 años en Brasil. Métodos: Estudio longitudinal ecológico, con datos secundarios del Sistema de Informaciones Hospitalarias y los tres ciclos del Programa Nacional de Mejora del Acceso y de la Calidad de la Atención Básica (PMAQ-AB) (2012, 2014, 2017-2018). Se analizaron 42.916 UBS. Se aplicó un modelo multinivel con pendiente fija e intercepción aleatoria. En el primer nivel, se analizaron el desenlace (tasas de hospitalización por afecciones que podrían tratarse en los servicios de atención primaria) y las variables explicativas (indicadores estructurales y procedimentales) consolidados por UBS. En el segundo nivel, se incluyeron determinantes sociales municipales (representados por un criterio de estratificación que combina el tamaño del municipio con indicadores que influyen en la gestión de salud). Se utilizó la prueba de la t con la corrección de Bonferroni para comparar las medias de los indicadores entre las regiones y la regresión lineal multinivel para estimar los coeficientes de correlación. Resultados: La tasa de hospitalización por afecciones que podrían tratarse en los servicios de atención primaria en menores de 5 años fue de 62,78/100 mil habitantes por área estimada de cobertura de UBS. Los siguientes factores presentaron una asociación directa con el desenlace: participación en uno o más ciclos del PMAQ-AB; planificación del equipo; horario especial; dependencias de atención infantil en la unidad; y disponibilidad de vacunas. La variable relativa a equipos, materiales e insumos y la clasificación como municipio pequeño o mediano se asociaron inversamente con las hospitalizaciones por afecciones que podrían tratarse en los servicios de atención primaria. Conclusiones: Las hospitalizaciones de menores de 5 años por afecciones que podrían tratarse en los servicios de atención primaria pueden reducirse mejorando los indicadores estructurales y procedimentales de las UBS y los determinantes sociales municipales.

Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios.

OBJECTIVE: To forecast the impact of alternative scenarios of coverage changes in Brazil's Family Health Strategy (Estratégia Saúde da Família) (ESF)-due to fiscal austerity measures and to the end of the Mais Médicos (More Doctors) Program (PMM)-on overall under-5 mortality rates (U5MRs) and under-70 mortality rates (U70MRs) from ambulatory care sensitive conditions (ACSCs) up through 2030. METHODS: A synthetic cohort of 5 507 Brazilian municipalities was created for the period 2017-2030. A municipal-level microsimulation model was developed and validated using longitudinal data. Reductions in ESF coverage, and its effects on U5MRs and U70MRs from ACSCs, were forecast based on two probable austerity scenarios, as compared to the maintenance of current ESF coverage. Fixed effects longitudinal regression models were employed to account for secular trends, demographic and socioeconomic changes, variables related to health care, and program duration effects. RESULTS: In comparison to maintaining stable ESF coverage, with the decrease in ESF coverage due to austerity measures and PMM termination, the mean U5MR and U70MR would be 13.2% and 8.6% higher, respectively, in 2030. The end of PMM would be responsible for a mean U5MR from ACSCs that is 4.3% higher and a U70MR from ACSCs that is 2.8% higher in 2030. The reduction of PMM coverage due only to the withdrawal of Cuban doctors who have been working in PMM would alone be responsible for a U5MR that is 3.2% higher, and a U70MR that is 2.0% higher in 2030. CONCLUSIONS: Reductions in primary health care coverage due to austerity measures and the end of the PMM could be responsible for many avoidable adult and child deaths in coming years in Brazil.

Is there a fair distribution of the structure of dental services in the capitals of the Brazilian Federative Units?

BACKGROUND: Brazilian Primary Care Facilities (PCF) provide primary care and must offer dental services for diagnosis, prevention, and treatment of diseases. According to a logic of promoting equity, PCF should be better structured in less developed places and with higher need for oral health services. OBJECTIVE: To analyze the structure of dental caries services in the capitals of the Brazilian Federative Units and identify whether socioeconomic factors and caries (need) are predictors of the oral health services structure. METHODS: This is an ecological study with variables retrieved from different secondary databases, clustered for the level of the federative capitals. Descriptive thematic maps were prepared, and structural equations were analyzed to identify oral health service structure's predictors (Alpha = 5%). Four models with different outcomes related to dental caries treatment were tested: 1) % of PCF with a fully equipped office; 2) % of PCF with sufficient instruments, and 3) % of PCF with sufficient supplies; 4) % of PCF with total structure. RESULTS: 21.6% of the PCF of the Brazilian capitals had a fully equipped office; 46.9% had sufficient instruments, and 30.0% had sufficient supplies for caries prevention and treatment. The four models evidenced proper fit indexes. A correlation between socioeconomic factors and the structure of oral health services was only noted in model 3. The worse the socioeconomic conditions, the lower the availability of dental supplies (standard factor loading: 0.92, P = 0.012). Estimates of total, direct and indirect effects showed that dental caries experience observed in the Brazilian population by SB-Brasil in 2010 did not affect the outcomes investigated. CONCLUSION: Material resources are not equitably distributed according to the socioeconomic conditions and oral health needs of the population of the Brazilian capitals, thus contributing to persistent oral health inequities in the country.

An evaluation of outcomes in patients with traumatic brain injury at a referral hospital in Tanzania: evidence from a survival analysis.

OBJECTIVE: The purpose of this study was to determine if patients with traumatic brain injury (TBI) in low- and middle-income countries who receive surgery have better outcomes than patients with TBI who do not receive surgery, and whether this differs with severity of injury. METHODS: The authors generated a series of Kaplan-Meier plots and performed multiple Cox proportional hazard models to assess the relationship between TBI surgery and TBI severity. The TBI severity was categorized using admission Glasgow Coma Scale scores: mild (14, 15), moderate (9-13), or severe (3-8). The authors investigated outcomes from admission to hospital day 14. The outcome considered was the Glasgow Outcome Scale-Extended, categorized as poor outcome (1-4) and good outcome (5-8). The authors used TBI registry data collected from 2013 to 2017 at a regional referral hospital in Tanzania. RESULTS: Of the final 2502 patients, 609 (24%) received surgery and 1893 (76%) did not receive surgery. There were significantly fewer road traffic injuries and more violent causes of injury in those receiving surgery. Those receiving surgery were also more likely to receive care in the ICU, to have a poor outcome, to have a moderate or severe TBI, and to stay in the hospital longer. The hazard ratio for patients with TBI who underwent operation versus those who did not was 0.17 (95% CI 0.06-0.49; p < 0.001) in patients with moderate TBI; 0.2 (95% CI 0.06-0.64; p = 0.01) for those with mild TBI, and 0.47 (95% CI 0.24-0.89; p = 0.02) for those with severe TBI. CONCLUSIONS: Those who received surgery for their TBI had a lower hazard for poor outcome than those who did not. Surgical intervention was associated with the greatest improvement in outcomes for moderate head injuries, followed by mild and severe injuries. The findings suggest a reprioritization of patients with moderate TBI-a drastic change to the traditional practice within low- and middle-income countries in which the most severely injured patients are prioritized for care.

[Proposal for a methodology to estimate the potential coverage of primary care teamsPropuesta de una metodología para estimar el área de cobertura potencial de los equipos de atención primaria]. / Proposta de metodologia para estimar a área de cobertura potencial por equipes de atenção primária.

OBJECTIVE: To present a methodology for the empirical evaluation of primary health care (PHC) through the construction of digital representations of potential PHC coverage areas. METHODS: In this methodological study, potential areas were constructed by combinatorial analysis between census tracts and the location of basic health units with working PHC teams in Brazil. Six rules were used to parameterize the algorithm for the construction of potential areas. Thus, six restrictions were applied to enable the model: the selection of census tracts near the basic health unit; contiguous sectors; mutually exclusive sectors; sectors located in the same municipality of basic health units; sum of 4 500 users per health team in each unit; and volume of population ascribed proportional to the number of PHC teams allocated to the unit. Based on 316 594 census tracts and 39 758 basic health units, a neighborhood matrix was developed. To that matrix, a graph algorithm was applied to test combinations of sectors that simultaneously met the stipulated rules. RESULTS: A total of 1 901 114 arcs were defined, connecting 30 351 census tracts, allowing the construction of 26 907 potential areas. Based on these results, intra-municipal analyses can be performed to monitor PHC indicators. Customizable algorithm parameters can be adjusted to accommodate different sets of rules which may be adapted to different countries. CONCLUSIONS: The use of geoprocessing approaches creates conditions for the assessment of PHC impact, based on secondary databases at various levels, such as intra-municipal, basic health unit, and even at the team level.

OBJETIVO: Presentar una metodología para la evaluación empírica de la atención primaria de salud (APS) a través de la construcción de representaciones digitales de las áreas de cobertura potencial de los equipos de APS. MÉTODOS: Estudio de tipo metodológico. Las áreas potenciales se construyeron mediante un análisis combinatorio entre los sectores censales y la localización de las unidades básicas de salud con equipos de APS que trabajan en Brasil. Se utilizaron seis reglas para parametrizar el algoritmo de construcción de las áreas potenciales. Así, se estipularon seis restricciones que viabilizaron el modelo utilizado: selección de sectores censales cercanos a la unidad básica de salud; sectores contiguos; sectores mutuamente excluyentes; sectores ubicados en el mismo municipio de la unidad básica de salud; suma de 4 500 usuarios por equipo de salud en cada unidad básica de salud; y volumen de población adscrita proporcional al número de equipos de APS asignados en la unidad básica de salud. A partir de 316 574 sectores censales y 39 758 unidades básicas de salud se desarrolló una matriz de vecindad sobre la cual se aplicó un algoritmo gráfico que evaluaba las combinaciones de sectores que cumplían simultáneamente las reglas estipuladas. RESULTADOS: Se definieron en total 1 901 114 arcos, que conectaron 30 351 sectores censales, lo que permitió la construcción de 26 907 áreas potenciales. Sobre la base de estos resultados, se pueden realizar análisis intramunicipales para monitorear los indicadores de APS. Los parámetros modificables del algoritmo se pueden ajustar para adaptarse a diferentes conjuntos de reglas y a diferentes países. CONCLUSIONES: El uso de enfoques basados en geoprocesamiento puede crear condiciones para la evaluación del impacto de la APS conforme a bases de datos secundarias y a nivel intramunicipal, de la unidad básica de salud e incluso a nivel de equipo.

[More Doctors recruitment program: a new approach to overcome inequalities in human resourcesPrograma Más Médicos: cómo evaluar el impacto de un enfoque innovador para superar las inequidades en recursos humanos]. / Programa Mais Médicos: como avaliar o impacto de uma abordagem inovadora para superação de iniquidades em recursos humanos.

Despite the 40 years elapsed since the Alma-Ata principles were first launched, a series of challenges still persists for the consolidation of primary health care (PHC) as the backbone of health care systems around the world. Among these challenges, especially noteworthy are the issues associated with the inequality in the allocation of human resources. The experience of the More Doctors Program (Programa Mais Médicos, PMM) in Brazil is an example of initiatives that tackle this inconclusive Alma-Ata agenda. By changing key aspects of physician training, provision, and allocation, PMM was shown to be a feasible alternative to minimize the challenge of physician shortage. Assessments of PMM, even though preliminary, have produced positive evidence showing increase in access and improvement of PHC quality in Brazil, a middle income country. Nevertheless, the generation of more robust evidence regarding the impact of PMM on PHC performance indicators is urgent. The discussion proposed in the present article emphasizes the need to prioritize quasi-experimental studies to measure the impact of PMM on population health. The article thus introduces a set of guidelines that may become a useful model to approach challenges associated with the shortage of health care professionals in low and middle income countries.

A pesar de que han transcurrido 40 años desde la proclamación de los principios de Alma-Ata, aún persisten desafíos para la consolidación de la atención primaria de salud (APS) como columna vertebral de los sistemas de atención de salud en todo el mundo. Entre estos desafíos, se destacan los problemas asociados con la desigualdad en la distribución de recursos humanos. La experiencia del Programa Más Médicos (PMM) en Brasil es un ejemplo de las iniciativas que abordan esta agenda inconclusa de Alma-Ata. Al cambiar aspectos clave de la capacitación, la provisión y la asignación de médicos, el PMM demostró ser una alternativa viable para minimizar el desafío de la escasez de profesionales. Las evaluaciones del PMM, aunque preliminares, han producido evidencias positivas que muestran un aumento en el acceso y mejora de la calidad de la APS en Brasil, un país de ingresos medios. Sin embargo, urge generar evidencia más sólida sobre el impacto del PMM en los indicadores de desempeño de la APS. La discusión propuesta en este trabajo enfatiza la necesidad de priorizar estudios cuasiexperimentales para medir el impacto del PMM en la salud de la población. El artículo propone un conjunto de directrices que pueden convertirse en un modelo útil para abordar los desafíos asociados con la escasez de profesionales de la salud en países de ingresos bajos y medios.

Oral primary care: an analysis of its impact on the incidence and mortality rates of oral cancer.

BACKGROUND: Oral cancer is a potentially fatal disease, especially when diagnosed in advanced stages. In Brazil, the primary health care (PHC) system is responsible for promoting oral health in order to prevent oral diseases. However, there is insufficient evidence to assess whether actions of the PHC system have some effect on the morbidity and mortality from oral cancer. The purpose of this study was to analyze the effect of PHC structure and work processes on the incidence and mortality rates of oral cancer after adjusting for contextual variables. METHODS: An ecological, longitudinal and analytical study was carried out. Data were obtained from different secondary data sources, including three surveys that were nationally representative of Brazilian PHC and carried out over the course of 10 years (2002-2012). Data were aggregated at the state level at different times. Oral cancer incidence and mortality rates, standardized by age and gender, served as the dependent variables. Covariables (sociodemographic, structure of basic health units, and work process in oral health) were entered in the regression models using a hierarchical approach based on a theoretical model. Analysis of mixed effects with random intercept model was also conducted (alpha = 5%). RESULTS: The oral cancer incidence rate was positively association with the proportion of of adults over 60 years (ß = 0.59; p = 0.010) and adult smokers (ß = 0.29; p = 0.010). The oral cancer related mortality rate was positively associated with the proportion of of adults over 60 years (ß = 0.24; p < 0.001) and the performance of preventative and diagnostic actions for oral cancer (ß = 0.02; p = 0.002). Mortality was inversely associated with the coverage of primary care teams (ß = -0.01; p < 0.006) and PHC financing (ß = -0.52-9; p = 0.014). CONCLUSIONS: In Brazil, the PHC structure and work processes have been shown to help reduce the mortality rate of oral cancer, but not the incidence rate of the disease. We recommend expanding investments in PHC in order to prevent oral cancer related deaths.

Spatially balanced provision of health equipment: a cross-sectional study oriented to the identification of challenges to access promotion.

BACKGROUND: Access to health services is in part defined by the spatial distribution of healthcare equipment. To ensure equity in the provision of health services, it is important to examine availability across different health care providers taking into account population demand. Given the importance of the equitable provision of health equipment, we evaluate its spatial distribution in Brazil. METHODS: This study is classified as cross-sectional with an ecological design. We evaluate Brazilian data on distance to available health equipment considering: dialysis machines (385), magnetic resonance imaging (MRI) (257), hospital beds (3675) and bone densitometers (429). We define two distance thresholds (50 km and 200 km) from a municipality to the center of services provision. The balance between infrastructure capacity and potential demand was evaluated to identify a lack or surplus of health services. RESULTS: The distribution of dialysis equipment and bone densitometers is not balanced across Brazilian states, and unmet demand is high. With respect to MRIs, the large capacity of this equipment results in a large excess of supply. However, this characteristic alone cannot account for excesses of supply of over 700%, as is the case of the Federal District when the range is limited to 50 km. At the same time, four states in the Northeastern region of Brazil show a net excess of demand. Some regions do not meet the standard amount of supply defined by Brazilian Ministry of Health. The quantity and distribution of hospital beds are not sufficient to provide full coverage to the population. CONCLUSION: Our main focus was to evaluate the network of the provision of health equipment in Brazil, considering both private and public sectors conjointly. We take into account two main aspects of a spatially balanced health system: the regional availability of health equipment and the geographic distance between its demand and supply at the municipality level. Some regions do not meet the minimum requirement defined by the Brazilian Ministry of Health regarding the supply of health services.

Family health strategy and equity in prenatal care: a population based cross-sectional study in Minas Gerais, Brazil.

BACKGROUND: Prenatal care coverage is still not universal or adequately provided in many low and middle income countries. One of the main barriers regards the presence of socioeconomic inequalities in prenatal care utilization. In Brazil, prenatal care is supplied for the entire population at the community level as part of the Family Health Strategy (FHS), which is the main source of primary care provided by the public health system. Brazil has some of the greatest income inequalities in the world, and little research has been conducted to investigate prenatal care utilization of FHS across socioeconomic groups. This paper addresses this gap investigating the socioeconomic and regional differences in the utilization of prenatal care supplied by the FHS in the state of Minas Gerais, Brazil. METHODS: Data comes from a probabilistic household survey carried out in 2012 representative of the population living in urban areas in the state of Minas Gerais. The sample size comprises 1,420 women aged between 13 and 45 years old who had completed a pregnancy with a live born in the last five years prior to the survey. The outcome variables are received prenatal care, number of antenatal visits, late prenatal care, antenatal tests, tetanus immunization and low birthweight. A descriptive analysis and logistic models were estimated for the outcome variables. RESULTS: The coverage of prenatal care is almost universal in catchment urban areas of FHT of Minas Gerais state including both antenatal visits and diagnostic procedures. Due to this high level of coverage, socioeconomic inequalities were not observed. FHS supplied care for around 80% of the women without private insurance and 90% for women belonging to lower socioeconomic classes. Women belonging to lower socioeconomic classes were at least five times more likely to receive antenatal visits and any of the antenatal tests by the FHS compared to those belonging to the highest classes. Moreover, FHS was effective in reducing low birthweight. Women who had prenatal care through FHS were 40% less likely to have a child with low birthweight. CONCLUSION: This paper presents strong evidence that FHS promotes equity in antenatal care in Minas Gerais, Brazil.

Addressing geographic access barriers to emergency care services: a national ecologic study of hospitals in Brazil.

BACKGROUND: Unequal distribution of emergency care services is a critical barrier to be overcome to assure access to emergency and surgical care. Considering this context it was objective of the present work analyze geographic access barriers to emergency care services in Brazil. A secondary aim of the study is to define possible roles to be assumed by small hospitals in the Brazilian healthcare network to overcome geographic access challenges. METHODS: The present work can be classified as a cross-sectional ecological study. To carry out the present study, data of all 5843 Brazilian hospitals were categorized among high complexity centers and small hospitals. The geographical access barriers were identified through the use of two-step floating catchment area method. Once concluded the previous step an evaluation using the Getis-Ord-Gi method was performed to identify spatial clusters of municipalities with limited access to high complexity centers but well covered by well-equipped small hospitals. RESULTS: The analysis of accessibility index of high complexity centers highlighted large portions of the country with nearly zero hospital beds by inhabitant. In contrast, it was possible observe a group of 1595 municipalities with high accessibility to small hospitals, simultaneously with a low coverage of high complexity centers. Among the 1595 municipalities with good accessibility to small hospitals, 74% (1183) were covered by small hospitals with at least 60% of minimum emergency service requirements. The spatial clusters analysis aggregated 589 municipalities with high values related to minimum emergency service requirements. Small hospitals in these 589 cities could promote the equity in access to emergency services benefiting more than eight million people. CONCLUSIONS: There is a spatial disequilibrium within the country with prominent gaps in the health care network for emergency services. Taking this challenge into consideration, small hospitals could be a possible solution and foster equity in access to emergency and surgical care. However more investments in are necessary to improve small hospitals capabilities to fill this gap.

The covid-19 pandemic and hospital morbidity due to mental and behavioral disorders in Brazil: an interrupted time series analysis, from January 2008 to July 2021.

OBJECTIVE: to analyze records of hospitalizations due to mental and behavioral disorders before and after the beginning of the covid-19 pandemic in Brazil, from January 2008 to July 2021. METHODS: this was a descriptive ecological interrupted time series study, using secondary data retrieved from the Brazilian National Health System Hospital Information System; a time series analysis of hospitalizations was conducted based on a population-weighted Poisson regression model; relative risk (RR) and respective 95% confidence intervals (95%CI) were calculated. RESULTS: we identified 6,329,088 hospitalizations due to mental and behavioral disorders; hospitalization rates showed an 8% decrease (RR = 0.92; 95%CI 0.91;0.92) after the start of the pandemic, compared to the pre-pandemic period. CONCLUSION: the pandemic changed the trend of hospitalizations due to mental and behavioral disorders in Brazil; the drop observed in the period is evidence that the pandemic affected the mental health care network.

River dataset as a potential fluvial transportation network for healthcare access in the Amazon region.

Remote areas, such as the Amazon Forest, face unique geographical challenges of transportation-based access to health services. As transportation to healthcare in most of the Amazon Forest is only possible by rivers routes, any travel time and travel distance estimation is limited by the lack of data sources containing rivers as potential transportation routes. Therefore, we developed an approach to convert the geographical representation of roads and rivers in the Amazon into a combined, interoperable, and reusable dataset. To build the dataset, we processed and combined data from three data sources: OpenStreetMap, HydroSHEDS, and GloRiC. The resulting dataset can consider distance metrics using the combination of streets and rivers as a transportation route network for the Amazon Forest. The created dataset followed the guidelines and attributes defined by OpenStreetMap to leverage its reusability and interoperability possibilities. This new data source can be used by policymakers, health authorities, and researchers to perform time-to-care analysis in the International Amazon region.

Correction: Applicability of machine learning technique in the screening of patients with mild traumatic brain injury.

[This corrects the article DOI: 10.1371/journal.pone.0290721.].

Spatiotemporal analysis of hospital admissions for primary care-sensitive conditions in women and children in the first 1000 days of life.

OBJECTIVE: To analyze the spatiotemporal distribution of hospital admission rates for primary care-sensitive conditions (PCSC) in women and children in the first 1000 days of life in Brazil. METHODS: Ecological study, with spatiotemporal analyses, using secondary data from Brazilian municipalities. PCSC in women, related to prenatal care and childbirth, and in children under two years old, from 2008 to 2019 were used to characterize trends and formations of spatiotemporal clusters/outliers. Crude PCSC rates were calculated and adjusted by the local empirical Bayesian method, presented in choropleth maps. We also used Anselin Local Moran I type analyses to identify spatial clusters, and space-time cube with clustering by emerging hotspot, followed by time series clustering, for analysis of spatiotemporal trends (alpha = 5%). RESULTS: A total of 1,850,776 PCSC were registered in pregnant women, puerperae, and children under two years of age in Brazil, representing 1.7% of the total number of hospital admissions in the period. PCSC rates showed different behaviors when the groups of women and children were evaluated, with a predominant growing trend of 109% in admissions in the first group and a reduction of 34.4% in the second. The North, Northeast, and Midwest regions had larger high-risk clusters and more significant increasing trends in PCSC in the two subpopulations studied. CONCLUSIONS: Health actions and services in primary care may be reducing hospital admissions for children, but they are not being effective in reducing hospital admissions for women for causes related to prenatal care and childbirth, especially in the North, Northeast, and Midwest of Brazil. Investments in the qualification of care over the thousand days are urgent in the country.

Restructuring of emergency services to COVID-19 in Brazil: a space-time analysis from February to August 2020. / Reestruturação dos serviços de emergência à COVID-19 no Brasil: uma análise espaço-temporal, fevereiro a agosto de 2020.

OBJECTIVE: To explore the reorganization of the health system in response to the COVID-19 pandemic. METHODS: We conducted an ecological, descriptive-exploratory study with analysis of spatio-temporal clusters by epidemiological week in Brazilian municipalities. Secondary data sources were used, from the National Health Establishment Registry (April 2020) and on COVID-19 cases, February to August 2020. Intensive Care Units (ICU) availability was overlaid on incidence and mortality hot spots in order to assess expanded access in critical regions. RESULTS: Of the 5,570 municipalities analyzed, 54% were identified as incidence hot spots and 31% as mortality hot spots. Of the municipalities in incidence hot spots and with scarce access, 28% were covered by ICU expansion, while with regard to mortality 14% were covered. CONCLUSION: The opening of new beds was not able to provide broad coverage for critical regions and could be optimized with the use of spatial analysis techniques.

National COVID-19 vaccination plan: using artificial spatial intelligence to overcome challenges in Brazil. / Plano nacional de vacinação contra a COVID-19: uso de inteligência artificial espacial para superação de desafios.

This article explores the use of spatial artificial intelligence to estimate the resources needed to implement Brazil's COVID-19 immu nization campaign. Using secondary data, we conducted a cross-sectional ecological study adop ting a time-series design. The unit of analysis was Brazil's primary care centers (PCCs). A four-step analysis was performed to estimate the popula tion in PCC catchment areas using artificial in telligence algorithms and satellite imagery. We also assessed internet access in each PCC and con ducted a space-time cluster analysis of trends in cases of SARS linked to COVID-19 at municipal level. Around 18% of Brazil's elderly population live more than 4 kilometer from a vaccination point. A total of 4,790 municipalities showed an upward trend in SARS cases. The number of PCCs located more than 5 kilometer from cell towers was largest in the North and Northeast regions. Innovative stra tegies are needed to address the challenges posed by the implementation of the country's National COVID-19 Vaccination Plan. The use of spatial artificial intelligence-based methodologies can help improve the country's COVID-19 response.

O objetivo deste artigo é analisar o uso da inteligência artificial espacial no contexto da imunização contra COVID-19 para a seleção adequada dos recursos necessários. Trata-se de estudo ecológico de caráter transversal baseado em uma abordagem espaço-temporal utilizando dados secundários, em Unidades Básicas de Saúde do Brasil. Foram adotados quatro passos analíticos para atribuir um volume de população por unidade básica, aplicando algoritmos de inteligência artificial a imagens de satélite. Em paralelo, as condições de acesso à internet móvel e o mapeamento de tendências espaço-temporais de casos graves de COVID-19 foram utilizados para caracterizar cada município do país. Cerca de 18% da população idosa brasileira está a mais de 4 quilômetros de distância de uma sala de vacina. No total, 4.790 municípios apresentaram tendência de agudização de casos de Síndrome Respiratória Aguda Grave. As regiões Norte e Nordeste apresentaram o maior número de Unidades Básicas de Saúde com mais de 5 quilômetros de distância de antenas de celular. O Plano nacional de vacinação requer o uso de estratégias inovadoras para contornar os desafios do país. O uso de metodologias baseadas em inteligência artificial espacial pode contribuir para melhoria do planejamento das ações de resposta à COVID-19.