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.].

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.

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.

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.

A pandemia de covid-19 e a morbidade hospitalar por transtorno mental e comportamental no Brasil: uma análise de série temporal interrompida, janeiro de 2008 a julho de 2021 / La pandemia de covid-19 y la morbilidad hospitalaria por trastornos mentales y del comportamiento en Brasil: un análisis de series temporales interrompidas, de enero de 2008 a julio de 2021 / 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.

Objetivo: analizar las hospitalizaciones por trastornos mentales y del comportamiento antes y después del inicio de la pandemia de covid-19 en Brasil, desde enero 2008 hasta julio 2021. Método: estudio ecológico descriptivo de series temporales interrumpidas, con datos registrados en el Sistema de Informações Hospitalares del Sistema Único de Saúde; se realizó un análisis de series temporales de hospitalizaciones basado en modelo de regresión de Poisson, ponderado por la población; calculado el riesgo relativo (RR), con intervalo de confianza del (IC95%). Resultados: se identificaron 6.329.088 hospitalizaciones por trastornos mentales y del comportamiento; las tasas de hospitalización mostraron disminución del 8% (RR = 0,92; IC95% 0,91;0,92) tras el inicio de la pandemia, en relación con el periodo prepandémico. Conclusión: la pandemia cambió la tendencia de hospitalizaciones por trastornos mentales y del comportamiento en Brasil; la caída observada en el período evidencia que la pandemia afectó la cadena asistencial estructurada para la salud mental.

Objetivo: analisar as internações por transtorno mental e comportamental, antes e após o início da pandemia de covid-19 no Brasil, de janeiro de 2008 a julho de 2021. Métodos: estudo ecológico descritivo de série temporal interrompida, com dados registrados no Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH/SUS); realizada análise da série temporal das internações baseada em um modelo de regressão de Poisson, ponderado pela população; calculado o risco relativo (RR), com intervalo de confiança de 95% (IC95%). Resultados: foram identificadas 6.329.088 internações por transtornos mentais e comportamentais; as taxas de internação apresentaram um decréscimo de 8% (RR = 0,92; IC95% 0,91;0,92) após o início da pandemia, em relação ao período pré-pandemia. Conclusão: a pandemia modificou a tendência das internações por transtornos mentais e comportamentais no Brasil; a queda observada no período é evidência de que a pandemia afetou a cadeia de cuidado estruturada para saúde mental.

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.

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.

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

[ABSTRACT]. 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 (β) 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 (β –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.

[RESUMEN]. Objetivo. Evaluar el efecto de la cobertura del Programa Bolsa Família (BFP) en las tasas de mortalidad por cáncer de la cavidad bucal en Brasil entre el 2005 y el 2017, ajustadas por cobertura de atención de salud y características socioeconómicas de las unidades federativas brasileñas. Métodos. Este es un estudio ecológico con datos anuales (2005-2017) de todas las unidades federativas brasileñas. La variable dependiente de este estudio fue la tasa de mortalidad por cáncer de la cavidad bucal, estandarizada por sexo y edad mediante la técnica de estandarización directa. La cobertura del BFP fue la principal variable independiente, calculada como la relación entre el número de beneficiarios del BFP y las familias que podrían tener el derecho a recibir esta transferencia monetaria condicionada. Los antecedentes socioeconómicos y la cobertura de atención de salud fueron covariables. Se trazaron mapas coropléticos y se realizó un análisis con cubos espaciotemporales para evaluar los cambios en la distribución espaciotemporal del BFP y las tasas de mortalidad por cáncer de la cavidad bucal. El análisis de regresión lineal de efectos mixtos calculó los coeficientes (β) y los intervalos de confianza (IC) del 95% para la relación entre la cobertura del BFP y las tasas de mortalidad por cáncer de la cavidad bucal. Resultados. Las tendencias de cobertura del BFP aumentaron y las tendencias de la tasa de mortalidad por cáncer de la cavidad bucal se estabilizaron en las unidades federativas brasileñas, excepto en Maranhão, Goiás y Minas Gerais, donde estas tasas aumentaron. En el modelo ajustado, una mayor cobertura del BFP se asoció con tasas más bajas de mortalidad por cáncer de la cavidad bucal (β –2,10; IC del 95% [–3,291, –0,919]). Conclusiones. Las estrategias igualitarias como el BFP pueden reducir la tasa de mortalidad por cáncer de la cavidad bucal. Recomendamos el seguimiento por parte de los equipos de salud bucodental de las familias que se benefician del programa de transferencias monetarias condicionadas para reducir la tasa de mortali- dad por cáncer de la cavidad bucal.

[RESUMO]. Objetivo. Avaliar o efeito da cobertura do Programa Bolsa Família (PBF) sobre as taxas de mortalidade por câncer bucal no Brasil entre 2005 e 2017, com ajuste para a cobertura de saúde e as características socio- econômicas das unidades federativas brasileiras. Métodos. Este é um estudo ecológico com base em dados anuais (2005-2017) de todas as unidades feder- ativas brasileiras. A variável dependente foi a taxa de mortalidade por câncer bucal, padronizada por sexo e idade pela técnica de padronização direta. A cobertura do PBF foi a principal variável independente, cal- culada como a razão entre o número de beneficiários do PBF e de famílias que deveriam ter direito a essa transferência condicionada de renda. O contexto socioeconômico e a cobertura de saúde foram covariáveis. Elaboraram-se mapas coropléticos e usou-se a análise de cubo espaço-temporal para avaliar variações da distribuição espaço-temporal do PBF e das taxas de mortalidade por câncer bucal. A análise por regressão linear de efeitos mistos estimou os coeficientes (β) e intervalos de confiança (IC) de 95% da associação entre cobertura do PBF e taxas de mortalidade por câncer bucal. Resultados. Houve aumento da tendência de cobertura do PBF e estabilização da tendência da taxa de mortalidade por câncer bucal nas unidades federativas brasileiras, com exceção dos estados de Maranhão, Goiás e Minas Gerais, onde as taxas de mortalidade por câncer bucal aumentaram. No modelo ajustado, a maior cobertura do PBF foi associada a menores taxas de mortalidade por câncer bucal (β -2,10; IC 95% [-3,291, -0,919]). Conclusões. Estratégias igualitárias como o PBF podem reduzir a taxa de mortalidade por câncer bucal. Recomendamos o acompanhamento das famílias beneficiadas por programas de transferência condicionada de renda por equipes de saúde bucal para reduzir a taxa de mortalidade por esse câncer.

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.

[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.

Fatores associados às internações infantis por condições sensíveis à atenção primária no Brasil: estudo ecológico

[RESUMO]. Objetivo. Identificar a associação da estrutura das unidades básicas de saúde (UBS) e do processo de trabalho das equipes de atenção primária com determinantes sociais e taxas de internações por condições sensíveis à atenção primária (ICSAP) em menores de 5 anos no Brasil. Métodos. Estudo longitudinal ecológico, com dados secundários do Sistema de Informações Hospitalares e dos três ciclos do Programa Nacional de Melhoria do Acesso e da Qualidade da Atenção Básica (PMAQ-AB) (2012, 2014, 2017/2018). Foram analisadas 42 916 UBS. Foi realizada modelagem multinível com angulação fixa e intercepto aleatório. No primeiro nível, foram analisados o desfecho (taxas de ICSAP) e as variáveis explicativas (indicadores estruturais e processuais), agregados por UBS. No segundo nível, foram incluídos determinantes sociais municipais (representados por critério de estratificação que combina o porte do muni- cípio com indicadores que influenciam a gestão de saúde). Utilizou-se o teste t com correção de Bonferroni para comparar as médias dos indicadores entre as regiões, e a regressão linear multinível para estimar os coeficientes de correlação. Resultados. A taxa de ICSAP em menores de 5 anos foi de 62,78/100 mil habitantes por área estimada de cobertura de UBS. Apresentaram associação direta com o desfecho: participação em um ou mais ciclos do PMAQ-AB; planejamento da equipe; horário especial; dependências para atenção infantil na unidade; e dis- ponibilidade de vacinas. A variável equipamentos, materiais e insumos e a classificação como município de porte pequeno ou médio associaram-se inversamente às ICSAP. Conclusões. As ICSAP em menores de 5 anos podem ser potencialmente reduzidas pela melhoria dos indi- cadores estruturais e processuais das UBS e dos determinantes sociais municipais.

[ABSTRACT]. 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 Infor- mation 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 ente- red 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 improve- ments in PCU structure and process indicators and in municipal social determinants.

[RESUMEN]. 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 inter- cepción 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 munici- pales (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 pri- maria 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 muni- cipio 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 ser- vicios de atención primaria pueden reducirse mejorando los indicadores estructurales y procedimentales de las UBS y los determinantes sociales municipales.

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.

Desigualdades macrorregionais na atenção primária ao Diabetes Mellitus: comparação dos três ciclos do PMAQ-AB / Diabetes Mellitus macro-regional inequalities in PHC: comparing the three PMAQ-AB cycles

RESUMO O objetivo do estudo foi identificar desigualdades macrorregionais relacionadas à estrutura e ao processo de trabalho para o atendimento do Diabetes Mellitus (DM) na Atenção Primária à Saúde (APS) ao longo dos três ciclos do Programa Nacional de Melhoria do Acesso e da Qualidade da Atenção Básica (PMAQ-AB) no Brasil. Trata-se de um estudo ecológico, longitudinal, de abrangência nacional, com dados secundários dos três ciclos do PMAQ-AB. Os dados foram comparados entre as macrorregiões brasileiras utilizando o teste t com a correção de Bonferroni. As regiões Norte e Nordeste apresentaram os menores percentuais de adequação nos itens de estrutura: dependências da unidade (<74%), acessibilidade ao cadeirante (<63%), horário especial de funcionamento (<16%), equipe ampliada (<12%) e insumos (<89%) em todos os ciclos do PMAQ-AB, quando comparadas às demais regiões. Já os itens relacionados ao processo de trabalho apresentaram pouca variação entre as regiões, e os que apresentaram percentuais médios ≤ 75% de adequação foram: agenda especializada (41%, 33%, 41%), apoio matricial (58%, 72%, 70%), oferta e resolubilidade de ações (62%, 64%, 75%) e educação permanente (35%, 42%, 58%). Ainda existe a necessidade de investimentos na estrutura e em melhorias no processo de trabalho das equipes, principalmente nas macrorregiões Norte e Nordeste.

ABSTRACT This study aimed to identify macro-regional structure and work process inequalities for Diabetes Mellitus (DM) treatment in Primary Health Care (PHC) throughout the three cycles of the National Program for Access and Quality Improvement of Primary Care (PMAQ-AB) in Brazil. This ecological, longitudinal, nationwide study employed secondary data from the three PMAQ-AB cycles. The data were compared between the Brazilian macro-regions using the t-test with Bonferroni correction. The North and Northeast had the lowest percentages of adequacy in the structure items: unit premises (<74%), wheelchair user accessibility (<63%), special opening hours (<16%), expanded teams (<12%), and supplies (<89%) in all PMAQ-AB cycles when compared to other regions. The items related to the work process barely varied between regions, and those with mean adequacy percentages ≤ 75% were specialized agenda (41%, 33%, 41%), matrix support (58%, 72%, 70 %), offer and resolution of actions (62%, 64%, 75%) and continuing education (35%, 42%, 58%). Investments are still required in the structure and improvement in the teams' work process, especially in the North and Northeast macro-regions.

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 / Programa Bolsa Família y muertes por cáncer de la cavidad bucal en Brasil: estudio ecológico / Programa Bolsa Família e mortes por câncer bucal no Brasil: um estudo ecológico

ABSTRACT 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 (β) 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 (β -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.

RESUMEN Objetivo. Evaluar el efecto de la cobertura del Programa Bolsa Família (BFP) en las tasas de mortalidad por cáncer de la cavidad bucal en Brasil entre el 2005 y el 2017, ajustadas por cobertura de atención de salud y características socioeconómicas de las unidades federativas brasileñas. Métodos. Este es un estudio ecológico con datos anuales (2005-2017) de todas las unidades federativas brasileñas. La variable dependiente de este estudio fue la tasa de mortalidad por cáncer de la cavidad bucal, estandarizada por sexo y edad mediante la técnica de estandarización directa. La cobertura del BFP fue la principal variable independiente, calculada como la relación entre el número de beneficiarios del BFP y las familias que podrían tener el derecho a recibir esta transferencia monetaria condicionada. Los antecedentes socioeconómicos y la cobertura de atención de salud fueron covariables. Se trazaron mapas coropléticos y se realizó un análisis con cubos espaciotemporales para evaluar los cambios en la distribución espaciotemporal del BFP y las tasas de mortalidad por cáncer de la cavidad bucal. El análisis de regresión lineal de efectos mixtos calculó los coeficientes (β) y los intervalos de confianza (IC) del 95% para la relación entre la cobertura del BFP y las tasas de mortalidad por cáncer de la cavidad bucal. Resultados. Las tendencias de cobertura del BFP aumentaron y las tendencias de la tasa de mortalidad por cáncer de la cavidad bucal se estabilizaron en las unidades federativas brasileñas, excepto en Maranhão, Goiás y Minas Gerais, donde estas tasas aumentaron. En el modelo ajustado, una mayor cobertura del BFP se asoció con tasas más bajas de mortalidad por cáncer de la cavidad bucal (β -2,10; IC del 95% [-3,291, -0,919]). Conclusiones. Las estrategias igualitarias como el BFP pueden reducir la tasa de mortalidad por cáncer de la cavidad bucal. Recomendamos el seguimiento por parte de los equipos de salud bucodental de las familias que se benefician del programa de transferencias monetarias condicionadas para reducir la tasa de mortalidad por cáncer de la cavidad bucal.

RESUMO Objetivo. Avaliar o efeito da cobertura do Programa Bolsa Família (PBF) sobre as taxas de mortalidade por câncer bucal no Brasil entre 2005 e 2017, com ajuste para a cobertura de saúde e as características socioeconômicas das unidades federativas brasileiras. Métodos. Este é um estudo ecológico com base em dados anuais (2005-2017) de todas as unidades federativas brasileiras. A variável dependente foi a taxa de mortalidade por câncer bucal, padronizada por sexo e idade pela técnica de padronização direta. A cobertura do PBF foi a principal variável independente, calculada como a razão entre o número de beneficiários do PBF e de famílias que deveriam ter direito a essa transferência condicionada de renda. O contexto socioeconômico e a cobertura de saúde foram covariáveis. Elaboraram-se mapas coropléticos e usou-se a análise de cubo espaço-temporal para avaliar variações da distribuição espaço-temporal do PBF e das taxas de mortalidade por câncer bucal. A análise por regressão linear de efeitos mistos estimou os coeficientes (β) e intervalos de confiança (IC) de 95% da associação entre cobertura do PBF e taxas de mortalidade por câncer bucal. Resultados. Houve aumento da tendência de cobertura do PBF e estabilização da tendência da taxa de mortalidade por câncer bucal nas unidades federativas brasileiras, com exceção dos estados de Maranhão, Goiás e Minas Gerais, onde as taxas de mortalidade por câncer bucal aumentaram. No modelo ajustado, a maior cobertura do PBF foi associada a menores taxas de mortalidade por câncer bucal (β -2,10; IC 95% [-3,291, -0,919]). Conclusões. Estratégias igualitárias como o PBF podem reduzir a taxa de mortalidade por câncer bucal. Recomendamos o acompanhamento das famílias beneficiadas por programas de transferência condicionada de renda por equipes de saúde bucal para reduzir a taxa de mortalidade por esse câncer.

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

RESUMO Objetivo. Identificar a associação da estrutura das unidades básicas de saúde (UBS) e do processo de trabalho das equipes de atenção primária com determinantes sociais e taxas de internações por condições sensíveis à atenção primária (ICSAP) em menores de 5 anos no Brasil. Métodos. Estudo longitudinal ecológico, com dados secundários do Sistema de Informações Hospitalares e dos três ciclos do Programa Nacional de Melhoria do Acesso e da Qualidade da Atenção Básica (PMAQ-AB) (2012, 2014, 2017/2018). Foram analisadas 42 916 UBS. Foi realizada modelagem multinível com angulação fixa e intercepto aleatório. No primeiro nível, foram analisados o desfecho (taxas de ICSAP) e as variáveis explicativas (indicadores estruturais e processuais), agregados por UBS. No segundo nível, foram incluídos determinantes sociais municipais (representados por critério de estratificação que combina o porte do município com indicadores que influenciam a gestão de saúde). Utilizou-se o teste t com correção de Bonferroni para comparar as médias dos indicadores entre as regiões, e a regressão linear multinível para estimar os coeficientes de correlação. Resultados. A taxa de ICSAP em menores de 5 anos foi de 62,78/100 mil habitantes por área estimada de cobertura de UBS. Apresentaram associação direta com o desfecho: participação em um ou mais ciclos do PMAQ-AB; planejamento da equipe; horário especial; dependências para atenção infantil na unidade; e disponibilidade de vacinas. A variável equipamentos, materiais e insumos e a classificação como município de porte pequeno ou médio associaram-se inversamente às ICSAP. Conclusões. As ICSAP em menores de 5 anos podem ser potencialmente reduzidas pela melhoria dos indicadores estruturais e processuais das UBS e dos determinantes sociais municipais.

ABSTRACT 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.

RESUMEN 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.

[Spatial analysis of the quality of Primary Health Care services in reducing child mortality]. / Análise espacial da qualidade dos serviços de Atenção Primária à Saúde na redução da mortalidade infantil.

This study sought to analyze the correlation of the quality of Primary Health Care services in reducing child mortality, via geoprocessing. It involved an ecological study, with a cross-sectional approach, in which secondary data from all 5,565 Brazilian municipalities were used to analyze the infant mortality rate (IMR) and cause of infant death. The data related to IMR was obtained from the Mortality Information System. For the spatial analysis, 5,011 municipalities were included. The clustering analyses were performed using GEODA software and the spatial regression analyses were performed using ARCGIS 10.5 software. In Brazil, there was a 45.07% reduction in IMR between the years 2000 and 2015. The greatest reduction occurred in the northeastern region of the country, although it is still the region with the highest IMR. Of the 749 municipalities analyzed in the differential cluster for infant death, 153 had high IMR. The areas with the greatest increase in IMR were found in the North and Northeast regions. In Brazil, IMR proved to be inversely associated with the accessibility to high complexity services, health management strata and population size, reference for childbirth, live birth rate, per capita income and unemployment rate. A progressive reduction in IMR was recorded between 2000 and 2015.

Objetivou-se analisar a correlação da qualidade dos serviços da Atenção Primária na redução da mortalidade infantil, através do geoprocessamento. Um estudo ecológico, de abordagem transversal, em que foram utilizados dados secundários de todos os 5.565 municípios brasileiros para análise da taxa de mortalidade infantil (TMI) e causa de óbito infantil. Os dados da TMI foram obtidos no Sistema de Informação de Mortalidade. Para a análise espacial, incluímos 5.011 municípios. As análises de clusterização ocorreram no software GEODA e as análises de regressão espacial no ARCGIS 10.5. No Brasil houve uma redução de 45,07% da TMI entre os anos 2000 e 2015. A maior redução ocorreu na região nordeste do país, apesar de ainda ser a região com maior número na TMI. Dos 749 municípios analisados no cluster diferencial para óbito infantil, 153 apresentaram alta TMI. As áreas com maior expansão de alta TMI foram encontradas nas regiões Norte e Nordeste. No Brasil, a TMI mostrou-se inversamente associada à acessibilidade aos serviços de alta complexidade, ao estrato da gestão em saúde e porte populacional, à referência para o parto, à taxa de nascidos vivos, à renda per capita e à taxa de desemprego. Verificou-se uma crescente redução da TMI entre o período de 2000 a 2015.

Análise espacial da qualidade dos serviços de Atenção Primária à Saúde na redução da mortalidade infantil / Spatial analysis of the quality of Primary Health Care services in reducing child mortality

Resumo Objetivou-se analisar a correlação da qualidade dos serviços da Atenção Primária na redução da mortalidade infantil, através do geoprocessamento. Um estudo ecológico, de abordagem transversal, em que foram utilizados dados secundários de todos os 5.565 municípios brasileiros para análise da taxa de mortalidade infantil (TMI) e causa de óbito infantil. Os dados da TMI foram obtidos no Sistema de Informação de Mortalidade. Para a análise espacial, incluímos 5.011 municípios. As análises de clusterização ocorreram no software GEODA e as análises de regressão espacial no ARCGIS 10.5. No Brasil houve uma redução de 45,07% da TMI entre os anos 2000 e 2015. A maior redução ocorreu na região nordeste do país, apesar de ainda ser a região com maior número na TMI. Dos 749 municípios analisados no cluster diferencial para óbito infantil, 153 apresentaram alta TMI. As áreas com maior expansão de alta TMI foram encontradas nas regiões Norte e Nordeste. No Brasil, a TMI mostrou-se inversamente associada à acessibilidade aos serviços de alta complexidade, ao estrato da gestão em saúde e porte populacional, à referência para o parto, à taxa de nascidos vivos, à renda per capita e à taxa de desemprego. Verificou-se uma crescente redução da TMI entre o período de 2000 a 2015.

Abstract This study sought to analyze the correlation of the quality of Primary Health Care services in reducing child mortality, via geoprocessing. It involved an ecological study, with a cross-sectional approach, in which secondary data from all 5,565 Brazilian municipalities were used to analyze the infant mortality rate (IMR) and cause of infant death. The data related to IMR was obtained from the Mortality Information System. For the spatial analysis, 5,011 municipalities were included. The clustering analyses were performed using GEODA software and the spatial regression analyses were performed using ARCGIS 10.5 software. In Brazil, there was a 45.07% reduction in IMR between the years 2000 and 2015. The greatest reduction occurred in the northeastern region of the country, although it is still the region with the highest IMR. Of the 749 municipalities analyzed in the differential cluster for infant death, 153 had high IMR. The areas with the greatest increase in IMR were found in the North and Northeast regions. In Brazil, IMR proved to be inversely associated with the accessibility to high complexity services, health management strata and population size, reference for childbirth, live birth rate, per capita income and unemployment rate. A progressive reduction in IMR was recorded between 2000 and 2015.

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.