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OBJECTIVE: To evaluate the variation in COVID-19 inpatient care mortality among hospitals reimbursed by the Unified Health System (SUS) in the first two years of the pandemic in São Paulo state and make performance comparisons within periods and over time. METHODS: Observational study based on secondary data from the Hospital Information System. The study universe consisted of 289,005 adult hospitalizations whose primary diagnosis was COVID-19 in five periods from 2020 to 2022. A multilevel regression model was applied, and the death predictive variables were sex, age, Charlson Index, obesity, type of admission, Brazilian Deprivation Index (BrazDep), the month of admission, and hospital size. Then, the total observed deaths and total deaths predicted by the model's fixed effect component were aggregated by each hospital, estimating the Standardized Mortality Ratio (SMR) in each period. Funnel plots with limits of two standard deviations were employed to classify hospitals by performance (higher-than-expected, as expected, and lower-than-expected) and determine whether there was a change in category over the periods. RESULTS: A positive association was observed between hospital mortality and size (number of beds). There was greater variation in the percentage of hospitals with as-expected performance (39.5 to 76.1%) and those with lower-than-expected performance (6.6 to 32.3%). The hospitals with higher-than-expected performance remained at around 30% of the total, except in the fifth period. In the first period, 64 hospitals (18.3%) had lower-than-expected performance, with standardized mortality ratios ranging from 1.2 to 4.4, while in the last period, only 23 (6.6%) hospitals were similarly classified, with ratios ranging from 1.3 to 2.8. A trend of homogenization and adjustment to expected performance was observed over time. CONCLUSION: Despite the study's limitations, the results suggest an improvement in the COVID-19 inpatient care performance of hospitals reimbursed by the SUS in São Paulo over the period studied, measured by the standardized mortality ratio for hospitalizations due to COVID-19. Moreover, the methodological approach adapted to the Brazilian context provides an applicable tool to follow-up hospital's performance in caring all or specific-cause hospitalizations, in regular or exceptional emergency situations.

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Comparative analyses based on clinical performance indicators to monitor the quality of hospital care have been carried out for decades in several countries, most notably the hospital standardized mortality ratio (HSMR). In Brazil, studies and the adoption of methodological tools that allow regular analysis of the performance of institutions are still scarce. This study aimed to assess the use of HSMR to compare the performance of hospitals funded by the Brazilian Unified National Health System (SUS). The Hospital Information System was the source of data on adult hospitalizations in Brazil from 2017 to 2019. The methodological approach to estimate HSMR was adapted to the available data and included the causes of hospitalization (main diagnosis) responsible for 80% of deaths. The number of expected deaths was estimated using a logistic regression model that included predictor variables widely described in the literature. The analysis was conducted in two stages: (i) hospitalization level and (ii) hospital level. The final risk adjustment model showed a C-statistic of 0.774, which is considered adequate. The variation in HSMR was wide, especially among the worst-performing hospitals (1.54 to 6.77). Private hospitals performed better than public hospitals. Although the limits of the available data and the challenges still face its more refined use, HSMR is applicable and has the potential to become an important tool for assessing hospital performance in the SUS.

Análises comparativas, baseadas em indicadores de desempenho clínico, para monitorar a qualidade da assistência hospitalar vêm sendo realizadas há décadas em vários países, com destaque para a razão de mortalidade hospitalar padronizada (RMHP). No Brasil, ainda são escassos os estudos e a adoção de instrumentos metodológicos que permitam análises regulares do desempenho das instituições. O objetivo deste artigo foi explorar o uso da RMHP para a comparação do desempenho dos hospitais remunerados pelo Sistema Único de Saúde (SUS). O Sistema de Informações Hospitalares foi a fonte de dados sobre as internações de adultos realizadas no Brasil entre 2017 e 2019. A abordagem metodológica para estimar a RMHP foi adaptada aos dados disponíveis e incluiu as causas de internação (diagnóstico principal) responsáveis por 80% dos óbitos. O número de óbitos esperados foi estimado por um modelo de regressão logística que incluiu variáveis preditoras amplamente descritas na literatura. A análise foi realizada em duas etapas: (i) nível da internação e (ii) nível do hospital. O modelo final de ajuste de risco apresentou estatística C de 0,774, valor considerado adequado. Foi observada grande variação da RMHP, especialmente entre os hospitais com pior desempenho (1,54 a 6,77). Houve melhor desempenho dos hospitais privados em relação aos hospitais públicos. Apesar de limites nos dados disponíveis e desafios ainda vislumbrados para a sua utilização mais refinada, a RMHP é aplicável e tem potencial para se tornar um elemento importante na avaliação do desempenho hospitalar no SUS.

Durante décadas se han realizado en varios países análisis comparativos basados en indicadores de desempeño clínico para monitorear la calidad de la atención hospitalaria, con énfasis en la razón de mortalidad hospitalaria estandarizada (RMHE). En Brasil, aún son escasos los estudios y la adopción de instrumentos metodológicos que permitan análisis regulares del desempeño de las instituciones. El objetivo fue explorar el uso de la RMHE para comparar el desempeño de los hospitales remunerados por el Sistema Único de Salud (SUS). El Sistema de Información Hospitalaria fue la fuente de datos sobre las hospitalizaciones de adultos realizadas en Brasil entre el 2017 y el 2019. El enfoque metodológico para estimar la RMHE se adaptó a los datos disponibles e incluyó las causas de hospitalización (diagnóstico principal) responsables del 80% de las muertes. El número de muertes esperadas se estimó mediante un modelo de regresión logística que incluyó variables predictoras ampliamente descritas en la literatura. El análisis se realizó en dos etapas: (i) nivel de la hospitalización y (ii) nivel del hospital. El modelo final de ajuste de riesgo presentó una estadística C de 0,774, valor considerado adecuado. Se observó una gran variación en la RMHE, especialmente entre los hospitales con peor desempeño (1,54 a 6,77). Hubo un mejor desempeño de los hospitales privados en comparación con los hospitales públicos. A pesar de las limitaciones de los datos disponibles y de los desafíos aún previstos para su uso más refinado, la RMHE es aplicable y tiene el potencial de convertirse en un elemento importante en la evaluación del desempeño hospitalario en el SUS.

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Resumo: Análises comparativas, baseadas em indicadores de desempenho clínico, para monitorar a qualidade da assistência hospitalar vêm sendo realizadas há décadas em vários países, com destaque para a razão de mortalidade hospitalar padronizada (RMHP). No Brasil, ainda são escassos os estudos e a adoção de instrumentos metodológicos que permitam análises regulares do desempenho das instituições. O objetivo deste artigo foi explorar o uso da RMHP para a comparação do desempenho dos hospitais remunerados pelo Sistema Único de Saúde (SUS). O Sistema de Informações Hospitalares foi a fonte de dados sobre as internações de adultos realizadas no Brasil entre 2017 e 2019. A abordagem metodológica para estimar a RMHP foi adaptada aos dados disponíveis e incluiu as causas de internação (diagnóstico principal) responsáveis por 80% dos óbitos. O número de óbitos esperados foi estimado por um modelo de regressão logística que incluiu variáveis preditoras amplamente descritas na literatura. A análise foi realizada em duas etapas: (i) nível da internação e (ii) nível do hospital. O modelo final de ajuste de risco apresentou estatística C de 0,774, valor considerado adequado. Foi observada grande variação da RMHP, especialmente entre os hospitais com pior desempenho (1,54 a 6,77). Houve melhor desempenho dos hospitais privados em relação aos hospitais públicos. Apesar de limites nos dados disponíveis e desafios ainda vislumbrados para a sua utilização mais refinada, a RMHP é aplicável e tem potencial para se tornar um elemento importante na avaliação do desempenho hospitalar no SUS.

Abstract: Comparative analyses based on clinical performance indicators to monitor the quality of hospital care have been carried out for decades in several countries, most notably the hospital standardized mortality ratio (HSMR). In Brazil, studies and the adoption of methodological tools that allow regular analysis of the performance of institutions are still scarce. This study aimed to assess the use of HSMR to compare the performance of hospitals funded by the Brazilian Unified National Health System (SUS). The Hospital Information System was the source of data on adult hospitalizations in Brazil from 2017 to 2019. The methodological approach to estimate HSMR was adapted to the available data and included the causes of hospitalization (main diagnosis) responsible for 80% of deaths. The number of expected deaths was estimated using a logistic regression model that included predictor variables widely described in the literature. The analysis was conducted in two stages: (i) hospitalization level and (ii) hospital level. The final risk adjustment model showed a C-statistic of 0.774, which is considered adequate. The variation in HSMR was wide, especially among the worst-performing hospitals (1.54 to 6.77). Private hospitals performed better than public hospitals. Although the limits of the available data and the challenges still face its more refined use, HSMR is applicable and has the potential to become an important tool for assessing hospital performance in the SUS.

Resumen: Durante décadas se han realizado en varios países análisis comparativos basados en indicadores de desempeño clínico para monitorear la calidad de la atención hospitalaria, con énfasis en la razón de mortalidad hospitalaria estandarizada (RMHE). En Brasil, aún son escasos los estudios y la adopción de instrumentos metodológicos que permitan análisis regulares del desempeño de las instituciones. El objetivo fue explorar el uso de la RMHE para comparar el desempeño de los hospitales remunerados por el Sistema Único de Salud (SUS). El Sistema de Información Hospitalaria fue la fuente de datos sobre las hospitalizaciones de adultos realizadas en Brasil entre el 2017 y el 2019. El enfoque metodológico para estimar la RMHE se adaptó a los datos disponibles e incluyó las causas de hospitalización (diagnóstico principal) responsables del 80% de las muertes. El número de muertes esperadas se estimó mediante un modelo de regresión logística que incluyó variables predictoras ampliamente descritas en la literatura. El análisis se realizó en dos etapas: (i) nivel de la hospitalización y (ii) nivel del hospital. El modelo final de ajuste de riesgo presentó una estadística C de 0,774, valor considerado adecuado. Se observó una gran variación en la RMHE, especialmente entre los hospitales con peor desempeño (1,54 a 6,77). Hubo un mejor desempeño de los hospitales privados en comparación con los hospitales públicos. A pesar de las limitaciones de los datos disponibles y de los desafíos aún previstos para su uso más refinado, la RMHE es aplicable y tiene el potencial de convertirse en un elemento importante en la evaluación del desempeño hospitalario en el SUS.

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BACKGROUND: In Brazil, the COVID-19 pandemic found the universal and public Unified Health System (SUS) with problems accumulated over time, due, among other reasons, to low investments, and disparities in resource distribution. The preparedness and response of the healthcare system, involving the SUS and a private sector, was affected by large socioeconomic and healthcare access inequities. This work was aimed at offering an overview of COVID-19 inpatient mortality during the pandemic in Brazil, exploring factors associated with its variations and, specifically, differences across public, private (for-profit) and philanthropic (private non-profit) inpatient healthcare units, providers, and non-providers of services to the SUS. METHODS: This cross-sectional study used public secondary data. The main data source was the SIVEP-Gripe, which comprises data on severe acute respiratory illness records prospectively collected. We also employed the National Record of Health Establishments, the SUS' Hospitalization Information System and municipalities' data from IBGE. We considered adult COVID-19 hospitalizations registered in SIVEP-Gripe from February 2020 to December 2022 in inpatient healthcare units with a minimum of 100 cases in the period. Data analyses explored the occurrence of inpatient mortality, employing general linear mixed models to identify the effects of patients', health care processes', healthcare units' and municipalities' characteristics on it. RESULTS: About 70% of the COVID-19 hospitalizations in Brazil were covered by the SUS, which attended the more vulnerable population groups and had worse inpatient mortality. In general, non-SUS private and philanthropic hospitals, mostly reimbursed by healthcare insurance plans accessible for more privileged socioeconomic classes, presented the best outcomes. Southern Brazil had the best performance among the macro-regions. Black and indigenous individuals, residents of lower HDI municipalities, and those hospitalized out of their residence city presented higher odds of inpatient mortality. Moreover, adjusted inpatient mortality rates were higher in the pandemic peak moments and were significantly reduced after COVID-19 vaccination reaching a reasonable coverage, from July 2021. CONCLUSIONS: COVID-19 exposed socioeconomic and healthcare inequalities and the importance and weaknesses of SUS in Brazil. This work indicates the need to revert the disinvestment in the universal public system, a fundamental policy for reduction of inequities in the country.

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Descrever os aspectos metodológicos e desenho amostral do Estudo das Doenças Crônicas sob a ótica da qualidade em saúde (Edoc-Quali). O estudo é composto por pesquisas de quatro populações distintas: coordenadores das unidades da Atenção Primária em Saúde; profissionais das equipes da Estratégia de Saúde da Família (ESF); usuários cadastrados nas ESFs com hipertensão arterial; e usuários cadastrados nas ESFs com diabetes mellitus do tipo 2. Participaram 30 gestores e 338 profissionais, que responderam percepções sobre estrutura física e processo de trabalho da equipe, com aplicação do PCATool-Brasil, e dados relativos ao processo de cuidado a esses pacientes. Também foram entrevistadas 672 pessoas com HAS, e 324 com DM2, além de avaliação física, coleta de material biológico e realização do eletrocardiograma. A avaliação da qualidade do cuidado segundo os gestores e profissionais e dos resultados obtidos junto aos usuários do serviço favoreceu o controle de complicações.

To describe the methodological aspects and sample design of the Study of Chronic Diseases from the perspective of quality in health (Edoc-Quali). Consisting of surveys of four distinct populations: coordinators of Primary Health Care units, professionals from the Family Health Strategy (FHS) teams, users registered in the FHS with arterial hypertension; and users registered in the FHS with type 2 diabetes mellitus. 30 managers and 338 participated professionals who answered perceptions about the physical structure and work process of the team with the application of PCATool-Brasil and data related to the care process for these patients. As for the study with users, 672 people with SAH and 324 with DM2 were interviewed, in addition to physical assessment, collection of biological material and electrocardiogram. The assessment of the quality of care according to managers and professionals, and the results obtained from service users, contributes to the control of complications.

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The COVID-19 pandemic had a significant impact on the living and working conditions of the entire population of Brazil, having a different and more intense effect on groups considered to be vulnerable. The objective of this article is to present an overview of the evolution of the pandemic in the country according to the bulletins of the Covid-19 Fiocruz Observatory in the period between the declarations of the beginning and end of the Public Health Emergency of National Concern (ESPIN, in Portuguese), February 2020 to April 2022. Several of the indicators adopted in the 69 bulletins published for the analysis of the pandemic were used, such as cases and deaths due to SARIs and COVID-19, age groups, % of occupancy of ICU beds, and vaccination, among others. The evolution analysis was organized between years and phases of the pandemic, seeking to highlight what characterized each moment. The closing statement of ESPIN in Brazil coincides with the discussions on the transition from a pandemic to an endemic scenario, without this representing the elimination of the virus, infections, and disease, posing the challenges of advances in vaccination processes in Brazil and around the world, as well as living with scenarios that may require the adoption of temporary protection measures in epidemic periods and periods of greater risk for vulnerable groups.

A pandemia de COVID-19 teve um imenso impacto nas condições de vida e trabalho de toda a população do país, impactando de modo diferenciado e mais intenso os grupos considerados vulneráveis. O objetivo deste artigo é apresentar um panorama da evolução da pandemia no país segundo os boletins do Observatório Covid-19 Fiocruz, no período entre as declarações de início e de encerramento da Emergência em Saúde Pública de Importância Nacional (ESPIN), fevereiro de 2020 a abril de 2022. Foram utilizados diversos dos indicadores adotados nos 69 boletins publicados para a análise da pandemia, como casos e óbitos por SRAGs e COVID-19, grupos etários, taxas de ocupação de leitos UTI e vacinação, entre outros. A análise da evolução foi organizada entre anos e fases da pandemia, procurando destacar o que caracterizou cada momento. A declaração de encerramento da ESPIN no Brasil coincide com as discussões acerca da transição de pandemia para a endemia, sem que isso represente a eliminação do vírus, das infecções e da doença, colocando-se os desafios de avanços nos processos de vacinação no Brasil e no mundo e da convivência com cenários que poderão exigir a adoção de medidas de proteção temporárias em períodos epidêmicos e de maior risco para grupos vulneráveis.

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Resumo A pandemia de COVID-19 teve um imenso impacto nas condições de vida e trabalho de toda a população do país, impactando de modo diferenciado e mais intenso os grupos considerados vulneráveis. O objetivo deste artigo é apresentar um panorama da evolução da pandemia no país segundo os boletins do Observatório Covid-19 Fiocruz, no período entre as declarações de início e de encerramento da Emergência em Saúde Pública de Importância Nacional (ESPIN), fevereiro de 2020 a abril de 2022. Foram utilizados diversos dos indicadores adotados nos 69 boletins publicados para a análise da pandemia, como casos e óbitos por SRAGs e COVID-19, grupos etários, taxas de ocupação de leitos UTI e vacinação, entre outros. A análise da evolução foi organizada entre anos e fases da pandemia, procurando destacar o que caracterizou cada momento. A declaração de encerramento da ESPIN no Brasil coincide com as discussões acerca da transição de pandemia para a endemia, sem que isso represente a eliminação do vírus, das infecções e da doença, colocando-se os desafios de avanços nos processos de vacinação no Brasil e no mundo e da convivência com cenários que poderão exigir a adoção de medidas de proteção temporárias em períodos epidêmicos e de maior risco para grupos vulneráveis.

Abstract The COVID-19 pandemic had a significant impact on the living and working conditions of the entire population of Brazil, having a different and more intense effect on groups considered to be vulnerable. The objective of this article is to present an overview of the evolution of the pandemic in the country according to the bulletins of the Covid-19 Fiocruz Observatory in the period between the declarations of the beginning and end of the Public Health Emergency of National Concern (ESPIN, in Portuguese), February 2020 to April 2022. Several of the indicators adopted in the 69 bulletins published for the analysis of the pandemic were used, such as cases and deaths due to SARIs and COVID-19, age groups, % of occupancy of ICU beds, and vaccination, among others. The evolution analysis was organized between years and phases of the pandemic, seeking to highlight what characterized each moment. The closing statement of ESPIN in Brazil coincides with the discussions on the transition from a pandemic to an endemic scenario, without this representing the elimination of the virus, infections, and disease, posing the challenges of advances in vaccination processes in Brazil and around the world, as well as living with scenarios that may require the adoption of temporary protection measures in epidemic periods and periods of greater risk for vulnerable groups.

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Resumo Este trabalho buscou descrever a saúde prisional paraense. Trata-se de estudo ecológico, em série temporal, baseado em dados secundários de acesso irrestrito a partir de relatórios institucionais do sistema penitenciário, além de informações provenientes do Portal da Transparência do Pará, do Cadastro Nacional de Estabelecimentos de Saúde (CNES) e do Sistema de Informação de Agravos de Notificação (SINAN). Como resultados, observou-se uma população de maioria jovem, negra e parda, de baixa escolaridade e do sexo masculino. Constatou-se um aumento, em números absolutos, de profissionais de saúde, mas sem acompanhar proporcionalmente o aumento da população carcerária. O número de consultas médicas, odontológicas e psicológicas variou de forma aleatória e fora dos limites quando inseridos em gráficos de controle estatístico. O potencial de cobertura das equipes de saúde prisional vinculadas aos SUS foi de no máximo 45,77%. Mutirões de saúde não aumentaram o número o total de consultas. A incidência de tuberculose mostrou-se muito superior à média para população do estado e sua notificação mostrou-se adequada. Mesmo trabalhando com dados secundários restritos, pôde-se lançar um amplo olhar sobre a saúde prisional do estado, levantando questões que devem ser apreciadas por gestores e profissionais.

Abstract This study aimed to describe Pará's Prison Health. This ecological time series study was based on secondary data with unrestricted access from Institutional Reports of the Penitentiary System and information from the Pará Transparency Web Portal, the National Register of Health Facilities (CNES), and the Notifiable Diseases Information System (SINAN). As a result, we observed a population with a majority of less-educated young black and brown males. In absolute numbers, we observed an increase of health professionals who did not follow the prison population hike. When entered into statistical control charts, the number of medical, dental, and psychological visits varied randomly and outside the limits. The potential coverage of prison health teams linked to the SUS achieved a maximum of 45.77%. Health task forces did not increase the number of visits. The incidence of tuberculosis was much higher than the mean for the state population, and its notification is adequate. Even with restricted secondary data, we could broadly look at the state's prison health, raising issues managers and professionals should consider.

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This study aimed to describe Pará's Prison Health. This ecological time series study was based on secondary data with unrestricted access from Institutional Reports of the Penitentiary System and information from the Pará Transparency Web Portal, the National Register of Health Facilities (CNES), and the Notifiable Diseases Information System (SINAN). As a result, we observed a population with a majority of less-educated young black and brown males. In absolute numbers, we observed an increase of health professionals who did not follow the prison population hike. When entered into statistical control charts, the number of medical, dental, and psychological visits varied randomly and outside the limits. The potential coverage of prison health teams linked to the SUS achieved a maximum of 45.77%. Health task forces did not increase the number of visits. The incidence of tuberculosis was much higher than the mean for the state population, and its notification is adequate. Even with restricted secondary data, we could broadly look at the state's prison health, raising issues managers and professionals should consider.

Este trabalho buscou descrever a saúde prisional paraense. Trata-se de estudo ecológico, em série temporal, baseado em dados secundários de acesso irrestrito a partir de relatórios institucionais do sistema penitenciário, além de informações provenientes do Portal da Transparência do Pará, do Cadastro Nacional de Estabelecimentos de Saúde (CNES) e do Sistema de Informação de Agravos de Notificação (SINAN). Como resultados, observou-se uma população de maioria jovem, negra e parda, de baixa escolaridade e do sexo masculino. Constatou-se um aumento, em números absolutos, de profissionais de saúde, mas sem acompanhar proporcionalmente o aumento da população carcerária. O número de consultas médicas, odontológicas e psicológicas variou de forma aleatória e fora dos limites quando inseridos em gráficos de controle estatístico. O potencial de cobertura das equipes de saúde prisional vinculadas aos SUS foi de no máximo 45,77%. Mutirões de saúde não aumentaram o número o total de consultas. A incidência de tuberculose mostrou-se muito superior à média para população do estado e sua notificação mostrou-se adequada. Mesmo trabalhando com dados secundários restritos, pôde-se lançar um amplo olhar sobre a saúde prisional do estado, levantando questões que devem ser apreciadas por gestores e profissionais.

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Large-scale (e.g., national) programs could strengthen safety culture, which is foundational to patient safety, yet we know little about how to optimize this potential. In 2013, Brazil's Ministry of Health launched the National Patient Safety Program, involving hospital-level safety teams and targeted safety protocols. We conducted in-depth qualitative case studies of National Patient Safety Program implementation in two hospitals, with different readiness, to understand how program implementation affected enabling, enacting, and elaborating processes that produce and sustain safety culture. For both hospitals, external mandates were insufficient for enabling hospital-level action. Internal enabling failures (e.g., little safety-relevant senior leadership) hindered enactment (e.g., safety teams unable to institute plans). Limited enactment and weak elaboration processes (e.g., bureaucratic monitoring) failed to institutionalize protocol use and undermined safety culture. Optimizing the safety culture impact of large-scale programs requires effective multi-level enabling and capitalizing on the productive potential of interacting national- and local-level influences.

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OBJECTIVE: To analyze the geographical variation in the provision of health services, namely in demand, patterns of utilization, and effectiveness in the Brazilian Health Regions in four different periods of the COVID-19 pandemic, from February 2020 to March 2021. METHODS: Descriptive serial cross-sectional study based on secondary data on COVID-19 hospitalizations from SIVEP-Gripe, a public and open-access database of Severe Acute Respiratory Illness records collected by the Brazilian Ministry of Health, and COVID-19 case notification data from Brasil.io, a repository of public data. Fifty-six epidemiological weeks were split into four periods. The following variables were considered for each Brazilian Health Region, per period: number of hospitalizations, hospitalizations per 100,000 inhabitants, hospitalizations per 100 new cases notified in the Health Region, percentage of hospitalizations with ICU use, percentages of hospitalizations with invasive and non-invasive ventilatory support, percentage of hospitalizations resulting in death and percentage of hospitalizations with ICU use resulting in death. Descriptive statistics of the variables were obtained across all 450 Health Regions in Brazil over the four defined pandemic periods. Maps were generated to capture the spatiotemporal variation and trends during the first year of the COVID-19 pandemic in Brazil. RESULTS: There was great variation in how COVID-19 hospitalizations grew and spread among Health Regions, with higher numbers between June and August 2020, and, especially, from mid-December 2020 to March 2021. The variation pattern in the proportion of ICU use in the hospitalizations across the Health Regions was broad, with no intensive care provision in large areas in the North, Northeast, and Midwest. The proportions of hospitalizations and hospitalizations with ICU use resulting in deaths were remarkably high, reaching medians of 34.0% and 62.0% across Health Regions, respectively. CONCLUSION: The Heath Regions in Brazil are highly diverse, showing broad disparities in the capacity to respond to the demands imposed by COVID-19, services provided, use and outcomes.

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OBJECTIVE: To analyze the temporal evolution of the pattern of hospital use in the context of the COVID-19 pandemic in Brazil. METHODS: This retrospective observational study compared hospital use and mortality in the Brazilian Unified Health System (SUS) in the first six months of the COVID-19 pandemic with the year before the onset of the pandemic in six Brazilian capitals (São Paulo, Rio de Janeiro, Manaus, Fortaleza, Recife, and Brasilia). It was based on secondary administrative data from the SUS Hospital Information System (SIH), focusing on the number of hospitalizations per fortnight, age, and gender of patients, hospital length of stay, and the proportions of surgical, elective, with the use of ICU, and resulting in death hospitalizations. It also compared the number of hospitalizations and mortality related to frequent diagnostic groups. RESULTS: A significant drop was identified in the number of hospitalizations as of March 2020, with the first peak of COVID-19 hospitalizations in five capitals recorded in May 2020. In the six capitals, we observed significant reductions in the mean number of hospitalizations per fortnight from the beginning of the pandemic. We also identified an increase in the mean age of the patients and the proportion of male patients. The proportion of surgical and elective hospitalizations dropped significantly in all capitals, while the proportion of hospitalizations with ICU use increased significantly. Significant increases in-hospital mortality were also recorded in the six capitals with the pandemic, including or excluding COVID-19 hospitalizations from the comparison. CONCLUSION: The pandemic caused changes in the pattern of use and hospital indicators in the first six months in the cities considered, evidencing the need for attention to diseases with a hospital production altered by the COVID-19 course and health system performance problems in the face of challenges.

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The Brazilian National Social Security Institute has used the Social Security Epidemiological Technical Nexus (NTEP) since 2007 to associate risks of the occurrence of work-related disability to classes of economic activities. This study aimed to identify the main risks of this type in Brazilian companies. We conducted a dynamic census cohort study with secondary national data from the Single Benefit System (SUB) and the National Registry of Social Information (CNIS). The Worker's Identification Number (NIT) allowed linking the occurrence of disabling conditions (International Classification of Diseases, 10th revision - ICD-10) to economic activities (National Classification of Economic Activities, CNAE). The NTEP was established with the highest risks between the seven most populous CNAE classes and seven largest ICD-10 among social security benefits from 2000 to 2016. During the period, Brazil had entitled employees with 30,815,310.06 employment contracts per year with 512,967,233.15 contract days. The most populous CNAE were: "retail commerce - hypermarkets", "roadway collective passenger transportation", "multipurpose banks with commercial portfolios", "pork and poultry slaughtering", "job selection and hiring", "nonhazardous waste collection", and "automobile, pickup truck, and utility vehicle manufacturing". The most prevalent disabling conditions were: back disorders, wrist and hand injuries, knee and leg injuries, soft tissue disorders, mood disorders, joint disorders, and neurotic disorders. Among the 49 combinations of ICD-10 and CNAE, the NTEP was established for 27 (55.1%). The study corroborates the accuracy and consistency of NTEP for identifying risks and etiological fractions.

O Instituto Nacional de Seguro Social do Brasil usa o Nexo Técnico Epidemiológico Previdenciário (NTEP) desde 2007 para associar riscos de ocorrência de incapacidade laboral com classes de atividades econômicas. Este trabalho visou a identificar os principais riscos desse tipo nas empresas brasileiras. Realizamos um estudo de coorte censitária dinâmica, com dados nacionais secundários: o Sistema Único de Benefício (SUB) e o Cadastro Nacional de Informações Sociais (CNIS). O número de identificação do trabalhador (NIT) permitiu vincular a ocorrência de condições incapacitantes (Classificação Internacional de Doenças, 10ª revisão - CID-10) com as atividades econômicas (Classificação Nacional de Atividades Econômicas - CNAE). O NTEP foi estabelecido com os maiores riscos entre as sete classes CNAE mais populosas e sete maiores grupos CID-10 entre os benefícios previdenciários de 2000 a 2016. O Brasil teve no período uma população de empregados segurados de 30.815.310,06 vínculos-médios ao ano com 512.967.233,15 vínculos-dias. As CNAE mais populosas foram: "comércio varejista - hipermercados", "transporte rodoviário coletivo de passageiros", "bancos múltiplos, com carteira comercial", "abate de suínos e aves", "seleção e agenciamento de mão de obra", "coleta de resíduos não perigosos" e "fabricação de automóveis, camionetas e utilitários". As condições incapacitantes mais prevalentes foram: dorsopatias, traumatismos do punho e da mão, traumatismos do joelho e da perna, transtornos dos tecidos moles, transtornos do humor, artropatias e transtornos neuróticos. Entre as 49 combinações de CID-10 e CNAE estabeleceu-se o NTEP para 27 (55,1%). O estudo ratifica a acurácia e consistência do NTEP para identificar riscos e frações etiológicas.

El Instituto Nacional de Seguro Social de Brasil usa el Nexo Técnico Epidemiológico de la Seguridad Social (NTEP) desde 2007, para asociar riesgos de ocurrencia de incapacidad laboral con clases de actividades económicas. Este estudio tuvo como meta identificar los principales riesgos de este tipo en empresas brasileñas. Realizamos un estudio de cohorte censal dinámica, con datos nacionales secundarios del Sistema Único de Beneficio (SUB), así como del Registro Nacional de Información Social (CNIS). El número de identificación del trabajador (NIT) permitió vincular la ocurrencia de condiciones incapacitantes (Clasificación Internacional de Enfermedades, 10ª edición - CIE-10) con las actividades económicas (Clasificación Nacional de Actividades Económicas - CNAE). El NTEP fue establecido con los mayores riesgos entre las siete clases CNAE más pobladas y siete grupos mayores CIE-10 entre los beneficios de seguridad social de 2000 a 2016. Brasil tuvo durante este período una población de empleados asegurados de 30.815.310,06 vínculos-medios al año con 512.967.233,15 vínculos-días. Las CNAE más pobladas fueron: "comercio minorista - hipermercados", "transporte por carretera colectivo de pasajeros", "bancos múltiples, con cartera comercial", "matadero de porcino y aves", "selección y contratación de mano de obra", "recogida de residuos no-peligrosos" y "fabricación de automóviles, camionetas y utilitarios". Las condiciones incapacitantes más prevalentes fueron: dorsopatías, traumatismos del puño y de la mano, traumatismos de la rodilla y de la pierna, trastornos de los tejidos blandos, trastornos del humor, artropatías y trastornos neuróticos. Entre las 49 combinaciones de CIE-10 y CNAE se estableció el NTEP para 27 (55,1%). El estudio ratifica la precisión y consistencia del NTEP para identificar riesgos y fracciones etiológicas.

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O Instituto Nacional de Seguro Social do Brasil usa o Nexo Técnico Epidemiológico Previdenciário (NTEP) desde 2007 para associar riscos de ocorrência de incapacidade laboral com classes de atividades econômicas. Este trabalho visou a identificar os principais riscos desse tipo nas empresas brasileiras. Realizamos um estudo de coorte censitária dinâmica, com dados nacionais secundários: o Sistema Único de Benefício (SUB) e o Cadastro Nacional de Informações Sociais (CNIS). O número de identificação do trabalhador (NIT) permitiu vincular a ocorrência de condições incapacitantes (Classificação Internacional de Doenças, 10ª revisão - CID-10) com as atividades econômicas (Classificação Nacional de Atividades Econômicas - CNAE). O NTEP foi estabelecido com os maiores riscos entre as sete classes CNAE mais populosas e sete maiores grupos CID-10 entre os benefícios previdenciários de 2000 a 2016. O Brasil teve no período uma população de empregados segurados de 30.815.310,06 vínculos-médios ao ano com 512.967.233,15 vínculos-dias. As CNAE mais populosas foram: "comércio varejista - hipermercados", "transporte rodoviário coletivo de passageiros", "bancos múltiplos, com carteira comercial", "abate de suínos e aves", "seleção e agenciamento de mão de obra", "coleta de resíduos não perigosos" e "fabricação de automóveis, camionetas e utilitários". As condições incapacitantes mais prevalentes foram: dorsopatias, traumatismos do punho e da mão, traumatismos do joelho e da perna, transtornos dos tecidos moles, transtornos do humor, artropatias e transtornos neuróticos. Entre as 49 combinações de CID-10 e CNAE estabeleceu-se o NTEP para 27 (55,1%). O estudo ratifica a acurácia e consistência do NTEP para identificar riscos e frações etiológicas.

The Brazilian National Social Security Institute has used the Social Security Epidemiological Technical Nexus (NTEP) since 2007 to associate risks of the occurrence of work-related disability to classes of economic activities. This study aimed to identify the main risks of this type in Brazilian companies. We conducted a dynamic census cohort study with secondary national data from the Single Benefit System (SUB) and the National Registry of Social Information (CNIS). The Worker's Identification Number (NIT) allowed linking the occurrence of disabling conditions (International Classification of Diseases, 10th revision - ICD-10) to economic activities (National Classification of Economic Activities, CNAE). The NTEP was established with the highest risks between the seven most populous CNAE classes and seven largest ICD-10 among social security benefits from 2000 to 2016. During the period, Brazil had entitled employees with 30,815,310.06 employment contracts per year with 512,967,233.15 contract days. The most populous CNAE were: "retail commerce - hypermarkets", "roadway collective passenger transportation", "multipurpose banks with commercial portfolios", "pork and poultry slaughtering", "job selection and hiring", "nonhazardous waste collection", and "automobile, pickup truck, and utility vehicle manufacturing". The most prevalent disabling conditions were: back disorders, wrist and hand injuries, knee and leg injuries, soft tissue disorders, mood disorders, joint disorders, and neurotic disorders. Among the 49 combinations of ICD-10 and CNAE, the NTEP was established for 27 (55.1%). The study corroborates the accuracy and consistency of NTEP for identifying risks and etiological fractions.

El Instituto Nacional de Seguro Social de Brasil usa el Nexo Técnico Epidemiológico de la Seguridad Social (NTEP) desde 2007, para asociar riesgos de ocurrencia de incapacidad laboral con clases de actividades económicas. Este estudio tuvo como meta identificar los principales riesgos de este tipo en empresas brasileñas. Realizamos un estudio de cohorte censal dinámica, con datos nacionales secundarios del Sistema Único de Beneficio (SUB), así como del Registro Nacional de Información Social (CNIS). El número de identificación del trabajador (NIT) permitió vincular la ocurrencia de condiciones incapacitantes (Clasificación Internacional de Enfermedades, 10ª edición - CIE-10) con las actividades económicas (Clasificación Nacional de Actividades Económicas - CNAE). El NTEP fue establecido con los mayores riesgos entre las siete clases CNAE más pobladas y siete grupos mayores CIE-10 entre los beneficios de seguridad social de 2000 a 2016. Brasil tuvo durante este período una población de empleados asegurados de 30.815.310,06 vínculos-medios al año con 512.967.233,15 vínculos-días. Las CNAE más pobladas fueron: "comercio minorista - hipermercados", "transporte por carretera colectivo de pasajeros", "bancos múltiples, con cartera comercial", "matadero de porcino y aves", "selección y contratación de mano de obra", "recogida de residuos no-peligrosos" y "fabricación de automóviles, camionetas y utilitarios". Las condiciones incapacitantes más prevalentes fueron: dorsopatías, traumatismos del puño y de la mano, traumatismos de la rodilla y de la pierna, trastornos de los tejidos blandos, trastornos del humor, artropatías y trastornos neuróticos. Entre las 49 combinaciones de CIE-10 y CNAE se estableció el NTEP para 27 (55,1%). El estudio ratifica la precisión y consistencia del NTEP para identificar riesgos y fracciones etiológicas.

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OBJECTIVE: To study the profile of hospitalizations due to COVID-19 in the Unified Health System (SUS) in Brazil and to identify factors associated with in-hospital mortality related to the disease. METHODS: Cross-sectional study, based on secondary data on COVID-19 hospitalizations that occurred in the SUS between late February through June. Patients aged 18 years or older with primary or secondary diagnoses indicative of COVID-19 were included. Bivariate analyses were performed and generalized linear mixed models (GLMM) were estimated with random effects intercept. The modeling followed three steps, including: attributes of the patients; elements of the care process; and characteristics of the hospital and place of hospitalization. RESULTS: 89,405 hospitalizations were observed, of which 24.4% resulted in death. COVID-19 patients hospitalized in the SUS were predominantly male (56.5%) with a mean age of 58.9 years. The length of stay ranged from less than 24 hours to 114 days, with a mean of 6.9 (±6.5) days. Of the total number of hospitalizations, 22.6% reported ICU use. The odds on in-hospital death were 16.8% higher among men than among women and increased with age. Black individuals had a higher likelihood of death. The behavior of the Charlson and Elixhauser indices was consistent with the hypothesis of a higher risk of death among patients with comorbidities, and obesity had an independent effect on increasing this risk. Some states, such as Amazonas and Rio de Janeiro, had a higher risk of in-hospital death from COVID-19. The odds on in-hospital death were 72.1% higher in municipalities with at least 100,000 inhabitants, though being hospitalized in the municipality of residence was a protective factor. CONCLUSION: There was broad variation in COVID-19 in-hospital mortality in the SUS, associated with demographic and clinical factors, social inequality, and differences in the structure of services and quality of health care.

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BACKGROUND: Handgrip strength (HGS) is an important health biomarker whose low scores have been shown to be associated with the morbimortality. This study aimed to analyze the factors associated with low HGS in older people in Rio Branco, Acre, Brazil. METHODS: The study was carried out with data from the Study of Chronic Diseases (EDOC-I) - Older People, a cross-sectional household PAPI probability sample survey performed with 1016 people aged over 60 residing in Rio Branco in 2014. The low HGS was defined by the 20th percentile of the maximum HGS by sex and age group. Associations between variables of health status (psychological and physical) and low HGS, by sex, were estimated using logistic regression, expressed by adjusted ORs (aOR). RESULTS: Older individuals had lower median HGS than younger individuals (- 6.0 kg among men and - 2.6 kg among women). Women aged over 80 had, on average, the lower quintile of HGS compared to women of the previous age groups. Factors independently associated with low HGS in men and women, respectively, were low weigh in body mass index [(aOR = 2.80; 95%CI: 1.19, 6.61) and (aOR = 2.61; 95%CI: 1.46, 4.66)], anemia [(aOR = 4.15; 95%CI: 2.09, 8.21) and (aOR = 1.80; 95%CI: 1.06, 3.06)] and diabetes as a risk factor in men (aOR 1.95; 95%CI: 1.00, 3.81). There was a higher chance of low HGS in men with partners (aOR = 2.44; 95%CI: 1.32, 4.51), smokers or former smokers (aOR = 3.25; 95%CI: 1.25, 8.44), with current self-assessment of health worse than the 12 previous months (aOR = 2.21; 95%CI: 1.14, 4.30) and dependence in activities of daily living (aOR = 2.92; 95%CI: 1.35, 6.30). Only among women, there was an increased chance of low HGS associated with altered waist-to-hip ratio (aOR = 1.79; 95%CI: 1.02, 3.12), insomnia (aOR = 1.83; 95%CI: 1.10, 3.03) and physical activity from displacement/occupation (aOR = 1.75; 95%CI: 1.08, 2.84). CONCLUSION: Factors associated with low HGS are not the same between sexes, and the inclusion of HGS as a component of health assessment seems to be a promising strategy for disease prevention and health promotion.

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Resumo No contexto de crise e restrições de recursos é razoável supor o agravamento de fragilidades do Sistema Único de Saúde (SUS), como desigualdades regionais, subfinanciamento e problemas na qualidade do cuidado. Este estudo explorou a aplicação de indicadores de acesso e efetividade, facilmente compreensíveis e calculados, passíveis de refletir a crise na rede hospitalar. Cinco indicadores extraídos do Sistema de Informações Hospitalares, relativos ao Brasil e a estados da Região Sudeste, foram analisados no período de 2009-2018: internações resultantes em morte; internações cirúrgicas resultantes em morte; cirurgias eletivas no total das internações cirúrgicas; próteses de quadril na população de idosos; e angioplastias na população de 20 anos ou mais. Utilizaram-se gráficos de controle estatístico para a comparação dos indicadores entre estados, antes e a partir de 2014. No Brasil, as mortes hospitalares tiveram um leve crescimento enquanto que as mortes cirúrgicas uma queda; as cirurgias eletivas e próteses de quadril também diminuíram. No Sudeste, o Rio de Janeiro apresentou os piores resultados, em especial a queda de cirurgias eletivas. Os resultados ilustram o potencial dos indicadores para monitorar efeitos da crise sobre o cuidado hospitalar.

Abstract In the context of crisis and resource constraints, it is reasonable to assume the deteriorated weaknesses of the Unified Health System (SUS), such as regional inequalities, underfinancing, and care quality issues. This study explored the application of easily comprehensible and calculated access and effectiveness indicators that could reflect the hospital network crisis. Five indicators extracted from the Hospital Information System, related to Brazil and states of the Southeastern region, were analyzed in the 2009-2018 period: hospitalizations resulting in death; surgical hospitalizations resulting in death; elective surgeries in the total of surgical hospitalizations; hip prostheses in the senior population; and angioplasties in the population aged 20 years and over. Statistical control charts were used to compare indicators between states, before and from 2014. In Brazil, overall hospital deaths had a slight increase while surgical deaths declined; elective surgeries and hipprosthesis also decreased. In Southeastern Brazil, Rio de Janeiro was the worst performer, especially the decrease of the elective surgeries. The results illustrate the potential of indicators to monitor crisis effects on hospital care.

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In the context of crisis and resource constraints, it is reasonable to assume the deteriorated weaknesses of the Unified Health System (SUS), such as regional inequalities, underfinancing, and care quality issues. This study explored the application of easily comprehensible and calculated access and effectiveness indicators that could reflect the hospital network crisis. Five indicators extracted from the Hospital Information System, related to Brazil and states of the Southeastern region, were analyzed in the 2009-2018 period: hospitalizations resulting in death; surgical hospitalizations resulting in death; elective surgeries in the total of surgical hospitalizations; hip prostheses in the senior population; and angioplasties in the population aged 20 years and over. Statistical control charts were used to compare indicators between states, before and from 2014. In Brazil, overall hospital deaths had a slight increase while surgical deaths declined; elective surgeries and hipprosthesis also decreased. In Southeastern Brazil, Rio de Janeiro was the worst performer, especially the decrease of the elective surgeries. The results illustrate the potential of indicators to monitor crisis effects on hospital care.

No contexto de crise e restrições de recursos é razoável supor o agravamento de fragilidades do Sistema Único de Saúde (SUS), como desigualdades regionais, subfinanciamento e problemas na qualidade do cuidado. Este estudo explorou a aplicação de indicadores de acesso e efetividade, facilmente compreensíveis e calculados, passíveis de refletir a crise na rede hospitalar. Cinco indicadores extraídos do Sistema de Informações Hospitalares, relativos ao Brasil e a estados da Região Sudeste, foram analisados no período de 2009-2018: internações resultantes em morte; internações cirúrgicas resultantes em morte; cirurgias eletivas no total das internações cirúrgicas; próteses de quadril na população de idosos; e angioplastias na população de 20 anos ou mais. Utilizaram-se gráficos de controle estatístico para a comparação dos indicadores entre estados, antes e a partir de 2014. No Brasil, as mortes hospitalares tiveram um leve crescimento enquanto que as mortes cirúrgicas uma queda; as cirurgias eletivas e próteses de quadril também diminuíram. No Sudeste, o Rio de Janeiro apresentou os piores resultados, em especial a queda de cirurgias eletivas. Os resultados ilustram o potencial dos indicadores para monitorar efeitos da crise sobre o cuidado hospitalar.

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