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The 11th International Statistical Classification of Diseases and Related Health Problems (ICD-11) represents an advance in the focus on knowledge and new disease approaches. The ICD is used for different practical purposes, enabling assessment of progress in the global health agenda, resource allocation, patient safety, health care qualification, and health insurance reimbursement. It is entirely digital, with technological resources that allow periodic updating. In early 2022, ICD-11 entered into official force, having been made available in several official ICD languages such as Arabic, Chinese, Spanish, French, and English. The translation process into Brazilian Portuguese, coordinated by the Federal University of Minas Gerais (UFMG), with support from the Brazilian Ministry of Health (MS) and PAHO/WHO, is presented here. The work was carried out in three stages between August 2021 and December 2022 by translators with different backgrounds: medical specialists (49), physiotherapists (1), pharmacologists (1), and dentists (1). This methodological article aims to broaden the discussion of perspectives on implementing the ICD-11 in Brazil and build an opportunity for its adaptation and use by other Portuguese-speaking countries.
A 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde representa um avanço no enfoque do conhecimento e em novas abordagens das doenças. A Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde é utilizada para diferentes finalidades práticas, possibilitando avaliação do avanço da agenda de saúde global, alocação de recursos, segurança do paciente, qualificação da assistência à saúde e reembolso de seguros de saúde. É inteiramente digital, com recursos tecnológicos que permitem sua atualização periódica. No início de 2022, a 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde entrou em vigência oficial, tendo sido disponibilizada em vários de seus idiomas oficiais, como o árabe, chinês, espanhol, francês e inglês. Apresenta-se aqui o processo de tradução para a língua portuguesa em uso no Brasil, coordenado pela Universidade Federal de Minas Gerais, com apoio do Ministério da Saúde do Brasil e da Organização Pan-Americana da Saúde/Organização Mundial da Saúde. O trabalho foi realizado em três etapas entre agosto de 2021 e dezembro de 2022 por tradutores com diferentes formações: médicos especialistas (49), fisioterapeuta (1), farmacologista (1) e odontologista (1). Com este artigo metodológico, almeja-se ampliar a discussão de perspectivas para implementação da 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde no Brasil e construir uma oportunidade para sua adaptação e uso por outros países de língua oficial portuguesa.
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Clasificación Internacional de Enfermedades , Humanos , Portugal , Brasil , Encuestas y CuestionariosRESUMEN
RESUMO A 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde representa um avanço no enfoque do conhecimento e em novas abordagens das doenças. A Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde é utilizada para diferentes finalidades práticas, possibilitando avaliação do avanço da agenda de saúde global, alocação de recursos, segurança do paciente, qualificação da assistência à saúde e reembolso de seguros de saúde. É inteiramente digital, com recursos tecnológicos que permitem sua atualização periódica. No início de 2022, a 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde entrou em vigência oficial, tendo sido disponibilizada em vários de seus idiomas oficiais, como o árabe, chinês, espanhol, francês e inglês. Apresenta-se aqui o processo de tradução para a língua portuguesa em uso no Brasil, coordenado pela Universidade Federal de Minas Gerais, com apoio do Ministério da Saúde do Brasil e da Organização Pan-Americana da Saúde/Organização Mundial da Saúde. O trabalho foi realizado em três etapas entre agosto de 2021 e dezembro de 2022 por tradutores com diferentes formações: médicos especialistas (49), fisioterapeuta (1), farmacologista (1) e odontologista (1). Com este artigo metodológico, almeja-se ampliar a discussão de perspectivas para implementação da 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde no Brasil e construir uma oportunidade para sua adaptação e uso por outros países de língua oficial portuguesa.
ABSTRACT The 11th International Statistical Classification of Diseases and Related Health Problems (ICD-11) represents an advance in the focus on knowledge and new disease approaches. The ICD is used for different practical purposes, enabling assessment of progress in the global health agenda, resource allocation, patient safety, health care qualification, and health insurance reimbursement. It is entirely digital, with technological resources that allow periodic updating. In early 2022, ICD-11 entered into official force, having been made available in several official ICD languages such as Arabic, Chinese, Spanish, French, and English. The translation process into Brazilian Portuguese, coordinated by the Federal University of Minas Gerais (UFMG), with support from the Brazilian Ministry of Health (MS) and PAHO/WHO, is presented here. The work was carried out in three stages between August 2021 and December 2022 by translators with different backgrounds: medical specialists (49), physiotherapists (1), pharmacologists (1), and dentists (1). This methodological article aims to broaden the discussion of perspectives on implementing the ICD-11 in Brazil and build an opportunity for its adaptation and use by other Portuguese-speaking countries.
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BACKGROUND: Reliable mortality data are essential for the development of public health policies. In Brazil, although there is a well-consolidated universal system for mortality data, the quality of information on causes of death (CoD) is not even among Brazilian regions, with a high proportion of ill-defined CoD. Verbal autopsy (VA) is an alternative to improve mortality data. This study aimed to evaluate the performance of an adapted and reduced version of VA in identifying the underlying causes of non-forensic deaths, in São Paulo, Brazil. This is the first time that a version of the questionnaire has been validated considering the autopsy as the gold standard. METHODS: The performance of a physician-certified verbal autopsy (PCVA) was evaluated considering conventional autopsy (macroscopy plus microscopy) as gold standard, based on a sample of 2060 decedents that were sent to the Post-Mortem Verification Service (SVOC-USP). All CoD, from the underlying to the immediate, were listed by both parties, and ICD-10 attributed by a senior coder. For each cause, sensitivity and chance corrected concordance (CCC) were computed considering first the underlying causes attributed by the pathologist and PCVA, and then any CoD listed in the death certificate given by PCVA. Cause specific mortality fraction accuracy (CSMF-accuracy) and chance corrected CSMF-accuracy were computed to evaluate the PCVA performance at the populational level. RESULTS: There was substantial variability of the sensitivities and CCC across the causes. Well-known chronic diseases with accurate diagnoses that had been informed by physicians to family members, such as various cancers, had sensitivities above 40% or 50%. However, PCVA was not effective in attributing Pneumonia, Cardiomyopathy and Leukemia/Lymphoma as underlying CoD. At populational level, the PCVA estimated cause specific mortality fractions (CSMF) may be considered close to the fractions pointed by the gold standard. The CSMF-accuracy was 0.81 and the chance corrected CSMF-accuracy was 0.49. CONCLUSIONS: The PCVA was efficient in attributing some causes individually and proved effective in estimating the CSMF, which indicates that the method is useful to establish public health priorities.
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Médicos , Adulto , Autopsia/métodos , Brasil , Causas de Muerte , Humanos , Encuestas y CuestionariosRESUMEN
INTRODUCTION: Excess Mortality by all causes considers deaths directly related to COVID-19 and those attributed to conditions caused by the pandemic. When stratified by social dimensions, such as race/color, it allows for the evaluation of more vulnerable populations. The study estimated the excess mortality by natural causes, separating the white and black populations in 2020. METHODS: Public civil registration data on deaths observed in 2020, corrected for under registration, were used. The expected number of deaths was estimated based on the mortality rates observed in 2019, applied to the estimated population in 2020. The difference between the values expected and observed and the proportion of excess was considered the excess mortality. RESULTS: The present study found an excess of 270,321 deaths (22.2% above the expected) in 2020. Every state of Brazil reported deaths above the corresponding expected figure. The excess was higher for men (25.2%) than for women (19.0%). Blacks showed an excess of 27.8%, as compared to whites at 17.6%. In both sexes and all age groups, excess was higher in the black population, especially in the South, Southeast, and Midwest regions. São Paulo, the largest in population number, had twice as much excess death in the black population (25.1%) than in the white population (11.5%). CONCLUSIONS: The present study showed racial disparities in excess mortality during the COVID-19 pandemic in Brazil. The higher excess found for the black suggests an intrinsic relationship with the socioeconomic situation, further exposing the Brazilian reality, in which social and structural inequality is evident.
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COVID-19 , Negro o Afroamericano , Brasil/epidemiología , Femenino , Humanos , Masculino , Pandemias , SARS-CoV-2 , Población BlancaRESUMEN
INTRODUCTION: Musculoskeletal (MSK) disorders are a major cause of disability worldwide. Different modifiable risk factors are associated to these disorders. The objective of this study was to analyze the burden of low back pain (LBP), rheumatoid arthritis (RA), osteoarthritis (OA), and gout, attributable to risk factors, in 2017. METHODS: The burden of LBP, RA, OA, and gout, and attributable risk factors were analyzed using data extracted from the Global Burden of Disease (GBD) Brasil-2017 study. Descriptive analysis was conducted to compare disability-adjusted life years (DALY) rates between sexes and age groups (15-49 and 50-69 years), in 2017. RESULTS: The highest rates of DALY due to LBP were attributed to occupational ergonomic factors in the 15-49-year group, regardless of sex and males aged 50-69 years, whereas smoking was the major contributor in the 50-69-year female group. RA-related DALY rates were attributed to smoking and were higher among women aged 50-69 years. High body mass index (BMI) was the most relevant risk factor for the burden of OA, with higher rates detected in the 50-69-year group, and it was the most significant risk factor for DALY rate attributed to gout, regardless of sex or age group. CONCLUSIONS: Occupational surveillance measures are indicated to prevent LBP. Actions to decrease smoking and overweight, and the surveillance of weight gain are warranted to decrease the burden of LBP, RA and OA, and gout, respectively. These actions will be more effective if age and sex differentials are considered in planning.
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Artritis Reumatoide , Gota , Dolor de la Región Lumbar , Osteoartritis , Artritis Reumatoide/epidemiología , Brasil/epidemiología , Femenino , Carga Global de Enfermedades , Gota/epidemiología , Humanos , Dolor de la Región Lumbar/epidemiología , Dolor de la Región Lumbar/etiología , Masculino , Osteoartritis/epidemiología , Osteoartritis/etiología , Prevalencia , Factores de RiesgoRESUMEN
Background: Accurate cause of death data are essential to guide health policy. However, mortality surveillance is limited in many low-income countries. In such settings, verbal autopsy (VA) is increasingly used to provide population-level cause of death data. VAs are now widely interpreted using the automated algorithms SmartVA and InterVA. Here we use conventional autopsy as the gold standard to validate SmartVA methodology. Methods: This study included adult deaths from natural causes in São Paulo and Recife for which conventional autopsy was indicated. VA was conducted with a relative of the deceased using an amended version of the SmartVA instrument to suit the local context. Causes of death from VA were produced using the SmartVA-Analyze program. Physician coded verbal autopsy (PCVA), conducted on the same questionnaires, and Global Burden of Disease Study data were used as additional comparators. Cause of death data were grouped into 10 broad causes for the validation due to the real-world utility of VA lying in identifying broad population cause of death patterns. Findings: The study included 2,060 deaths in São Paulo and 1,079 in Recife. The cause specific mortality fractions (CSMFs) estimated using SmartVA were broadly similar to conventional autopsy for: cardiovascular diseases (46.8% vs 54.0%, respectively), cancers (10.6% vs 11.4%), infections (7.0% vs 10.4%) and chronic respiratory disease (4.1% vs 3.7%), causes accounting for 76.1% of the autopsy dataset. The SmartVA CSMF estimates were lower than autopsy for "Other NCDs" (7.8% vs 14.6%) and higher for diabetes (13.0% vs 6.6%). CSMF accuracy of SmartVA compared to autopsy was 84.5%. CSMF accuracy for PCVA was 93.0%. Interpretation: The results suggest that SmartVA can, with reasonable accuracy, predict the broad cause of death groups important to assess a population's epidemiological transition. VA remains a useful tool for understanding causes of death where medical certification is not possible.
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Abstract INTRODUCTION: Musculoskeletal (MSK) disorders are a major cause of disability worldwide. Different modifiable risk factors are associated to these disorders. The objective of this study was to analyze the burden of low back pain (LBP), rheumatoid arthritis (RA), osteoarthritis (OA), and gout, attributable to risk factors, in 2017. METHODS: The burden of LBP, RA, OA, and gout, and attributable risk factors were analyzed using data extracted from the Global Burden of Disease (GBD) Brasil-2017 study. Descriptive analysis was conducted to compare disability-adjusted life years (DALY) rates between sexes and age groups (15-49 and 50-69 years), in 2017. RESULTS: The highest rates of DALY due to LBP were attributed to occupational ergonomic factors in the 15-49-year group, regardless of sex and males aged 50-69 years, whereas smoking was the major contributor in the 50-69-year female group. RA-related DALY rates were attributed to smoking and were higher among women aged 50-69 years. High body mass index (BMI) was the most relevant risk factor for the burden of OA, with higher rates detected in the 50-69-year group, and it was the most significant risk factor for DALY rate attributed to gout, regardless of sex or age group. CONCLUSIONS: Occupational surveillance measures are indicated to prevent LBP. Actions to decrease smoking and overweight, and the surveillance of weight gain are warranted to decrease the burden of LBP, RA and OA, and gout, respectively. These actions will be more effective if age and sex differentials are considered in planning.
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Abstract INTRODUCTION: Excess Mortality by all causes considers deaths directly related to COVID-19 and those attributed to conditions caused by the pandemic. When stratified by social dimensions, such as race/color, it allows for the evaluation of more vulnerable populations. The study estimated the excess mortality by natural causes, separating the white and black populations in 2020. METHODS Public civil registration data on deaths observed in 2020, corrected for under registration, were used. The expected number of deaths was estimated based on the mortality rates observed in 2019, applied to the estimated population in 2020. The difference between the values expected and observed and the proportion of excess was considered the excess mortality. RESULTS: The present study found an excess of 270,321 deaths (22.2% above the expected) in 2020. Every state of Brazil reported deaths above the corresponding expected figure. The excess was higher for men (25.2%) than for women (19.0%). Blacks showed an excess of 27.8%, as compared to whites at 17.6%. In both sexes and all age groups, excess was higher in the black population, especially in the South, Southeast, and Midwest regions. São Paulo, the largest in population number, had twice as much excess death in the black population (25.1%) than in the white population (11.5%). CONCLUSIONS: The present study showed racial disparities in excess mortality during the COVID-19 pandemic in Brazil. The higher excess found for the black suggests an intrinsic relationship with the socioeconomic situation, further exposing the Brazilian reality, in which social and structural inequality is evident.
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This study investigated the underreporting of deaths due to Acquired Immunodeficiency Syndrome (AIDS) in Brazil, using the product of the linkage between the Mortality Information System (SIM) and the Hospital Information System (SIH) for the years 2008 to 2012. The hypothesis was that there were deaths recorded in the SIM that should have AIDS as the underlying cause of death, but that had been poorly classified. Many of the decedents had previous hospitalizations due to the illness. Underreported AIDS deaths were defined taking into account the coding rules of the International Classification of Diseases 10th Revision, in order to discriminate AIDS deaths from those due to other causes in people living with HIV / AIDS. In this period, 60,362 deceased had AIDS as the underlying cause, and we found another 2,671 (4.2%) as underreported causes. Underreported deaths increased the average AIDS mortality rate from 6.3/100,000 to 6.6/100,000. In conclusion, this study demonstrated that, through linkage in between SIH and SIM, it is possible to find underreporting of AIDS deaths in Brazil. These results serve as a warning for the need for actions that would promote a better certification of the causes of death among AIDS patients.
Este estudo investigou a subnotificação de óbitos por Síndrome da Imunodeficiência Adquirida (AIDS) no Brasil, utilizando o produto do pareamento entre o Sistema de Informação sobre Mortalidade (SIM) e o Sistema de Informação Hospitalar (SIH) para os anos de 2008 a 2012. A hipótese era de que houvesse óbitos registrados no SIM que deveriam ter a AIDS como causa básica da morte, mas que tinham causas mal classificadas. Muitos desses falecidos tiveram internações anteriores devido à doença. Os óbitos por AIDS subnotificados foram definidos levando-se em consideração as regras de codificação da Classificação Internacional de Doenças 10ª Revisão, com vistas a discriminar os óbitos por AIDS daqueles devido a outras causas em pessoas vivendo com HIV/AIDS. Nesse período, 60.362 falecidos tiveram a AIDS como causa básica, e encontramos outros 2.671 (4,2%) como causas subnotificadas. Os óbitos subnotificados aumentaram a taxa média de mortalidade por AIDS no período de 6,3/100.000 para 6,6/100.000. Em conclusão, este estudo demonstrou que, através do pareamento entre o SIH e o SIM, é possível encontrar subnotificação de óbitos por AIDS no Brasil. Esses resultados servem de alerta para a necessidade de ações que promovam uma melhor certificação das causas de óbitos entre os pacientes com AIDS.
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Síndrome de Inmunodeficiencia Adquirida , Síndrome de Inmunodeficiencia Adquirida/epidemiología , Brasil/epidemiología , Causas de Muerte , Certificado de Defunción , Registros de Hospitales , HumanosRESUMEN
Resumo Este estudo investigou a subnotificação de óbitos por Síndrome da Imunodeficiência Adquirida (AIDS) no Brasil, utilizando o produto do pareamento entre o Sistema de Informação sobre Mortalidade (SIM) e o Sistema de Informação Hospitalar (SIH) para os anos de 2008 a 2012. A hipótese era de que houvesse óbitos registrados no SIM que deveriam ter a AIDS como causa básica da morte, mas que tinham causas mal classificadas. Muitos desses falecidos tiveram internações anteriores devido à doença. Os óbitos por AIDS subnotificados foram definidos levando-se em consideração as regras de codificação da Classificação Internacional de Doenças 10ª Revisão, com vistas a discriminar os óbitos por AIDS daqueles devido a outras causas em pessoas vivendo com HIV/AIDS. Nesse período, 60.362 falecidos tiveram a AIDS como causa básica, e encontramos outros 2.671 (4,2%) como causas subnotificadas. Os óbitos subnotificados aumentaram a taxa média de mortalidade por AIDS no período de 6,3/100.000 para 6,6/100.000. Em conclusão, este estudo demonstrou que, através do pareamento entre o SIH e o SIM, é possível encontrar subnotificação de óbitos por AIDS no Brasil. Esses resultados servem de alerta para a necessidade de ações que promovam uma melhor certificação das causas de óbitos entre os pacientes com AIDS.
Abstract This study investigated the underreporting of deaths due to Acquired Immunodeficiency Syndrome (AIDS) in Brazil, using the product of the linkage between the Mortality Information System (SIM) and the Hospital Information System (SIH) for the years 2008 to 2012. The hypothesis was that there were deaths recorded in the SIM that should have AIDS as the underlying cause of death, but that had been poorly classified. Many of the decedents had previous hospitalizations due to the illness. Underreported AIDS deaths were defined taking into account the coding rules of the International Classification of Diseases 10th Revision, in order to discriminate AIDS deaths from those due to other causes in people living with HIV / AIDS. In this period, 60,362 deceased had AIDS as the underlying cause, and we found another 2,671 (4.2%) as underreported causes. Underreported deaths increased the average AIDS mortality rate from 6.3/100,000 to 6.6/100,000. In conclusion, this study demonstrated that, through linkage in between SIH and SIM, it is possible to find underreporting of AIDS deaths in Brazil. These results serve as a warning for the need for actions that would promote a better certification of the causes of death among AIDS patients.
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Humanos , Síndrome de Inmunodeficiencia Adquirida , Brasil/epidemiología , Certificado de Defunción , Registros de Hospitales , Causas de MuerteRESUMEN
BACKGROUND: The Global Burden of Diseases (GBD) 2017 database permits an up-to-date evaluation of the frequency and burden of diabetes at the state level in Brazil and by type of diabetes. The objective of this report is to describe, using these updated GBD data, the current and projected future burden of diabetes and hyperglycemia in Brazil, as well as its variation over time and space. METHODS: We derived all estimates using the GBD 2016 and 2017 databases to characterize disease burden related to diabetes and hyperglycemia in Brazil, from 1990 to 2040, using standard GBD methodologies. RESULTS: The overall estimated prevalence of diabetes in Brazil in 2017 was 4.4% (95%UI 4.0-4.9%), with 4.0% of those with diabetes being identified as having type 1 disease. While the crude prevalence of type 1 disease has remained relatively stable from 1990, type 2 prevalence has increased 30% for males and 26% for females. In 2017, approximately 3.3% of all disability-adjusted life years lost were due to diabetes and 5.9% to hyperglycemia. Diabetes prevalence and mortality were highest in the Northeast region and growing fastest in the North, Northeast, and Center-West regions. Over this period, despite a slight decrease in age-standardized incidence of type 2 diabetes, crude overall burden due to hyperglycemia has increased 19%, with population aging being a main cause for this rise. Cardiovascular diseases, responsible for 38.3% of this burden in 1990, caused only 25.9% of it in 2017, with premature mortality attributed directly to diabetes causing 31.6% of the 2017 burden. Future projections suggest that the diabetes mortality burden will increase 144% by 2040, more than twice the expected increase in crude disease burden overall (54%). By 2040, diabetes is projected to be Brazil's third leading cause of death and hyperglycemia its third leading risk factor, in terms of deaths. CONCLUSIONS: The disease burden in Brazil attributable to diabetes and hyperglycemia, already large, is predicted by GBD estimates to more than double to 2040. Strong actions by the Ministry of Health are necessary to counterbalance the major deleterious effects of population aging.
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Diabetes Mellitus/epidemiología , Carga Global de Enfermedades/estadística & datos numéricos , Hiperglucemia/epidemiología , Adulto , Distribución por Edad , Anciano , Anciano de 80 o más Años , Brasil/epidemiología , Enfermedades Cardiovasculares/epidemiología , Femenino , Salud Global , Humanos , Incidencia , Masculino , Persona de Mediana Edad , Prevalencia , Años de Vida Ajustados por Calidad de Vida , Características de la Residencia , Factores de Riesgo , Distribución por Sexo , Factores Socioeconómicos , Adulto JovenRESUMEN
BACKGROUND: In this study, infant mortality rate (IMR) inequalities are analyzed from 1990 to 2015 in different geographic scales. METHODS: The Ministry of Health (MoH) IMR estimates by Federative Units (FU) were compared to those obtained by the Global Burden of Disease (GBD) group. In order to measure the inequalities of the IMR by FU, the ratios from highest to lowest from 1990 to 2015 were calculated. Maps were elaborated in 2000, 2010, and 2015 at the municipality level. To analyze the effect of income, IMR inequalities by GDP per capita were analyzed, comparing Brazil and the FU to other same-income level countries in 2015, and the IMR municipal estimates were analyzed by income deciles, in 2000 and 2010. RESULTS: IMR decreased from 47.1 to 13.4 per 1000 live births (LB) from 1990 to 2015, with an annual decrease rate of 4.9%. The decline was less pronounced for the early neonatal annual rate (3.5%). The Northeast region showed the most significant annual decline (6.2%). The IMR estimates carried out by the GBD were about 20% higher than those obtained by the MoH, but in terms of their inequalities, the ratio from the highest to the lowest IMR among the 27 FU decreased from 4 to 2, for both methods. The percentage of municipalities with IMR higher than 40 per 1000 LB decreased from 23% to 2%, between 2000 and 2015. Comparing the IMR distribution by income deciles, all inequality measures of the IMR decreased markedly from 2000 to 2010. CONCLUSION: The results showed a marked decrease in the IMR inequalities in Brazil, regardless of the geographic breakdown and the calculation method. Despite clear signs of progress in curbing infant mortality, there are still challenges in reducing its level, such as the concentration of deaths in the early neonatal period, and the specific increases of post neonatal mortality in 2016, after the recent cuts in social investments.
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Mortalidad Infantil/tendencias , Dolor de la Región Lumbar/epidemiología , Distribución por Edad , Brasil/epidemiología , Costo de Enfermedad , Femenino , Carga Global de Enfermedades , Salud Global , Disparidades en el Estado de Salud , Humanos , Renta , Lactante , Recién Nacido , Esperanza de Vida , Masculino , Años de Vida Ajustados por Calidad de Vida , Características de la Residencia , Distribución por Sexo , Factores SocioeconómicosRESUMEN
OBJECTIVES: This study aims to describe the actions carried out by the epidemiological surveillance system in Belo Horizonte to address the COVID-19 epidemic and the timeless of the data for detecting transmission in 2020. METHODS: The sources of information used by the epidemiological surveillance of the municipality for COVID-19 were identified and the temporal distribution and interval for detection of confirmed cases of the disease were analyzed. RESULTS: The city's epidemiological surveillance uses outpatient, hospital, public and private laboratory notifications as data sources. For reporting COVID-19 cases in official information systems, there is also an active search of laboratory results linked to suspected deaths investigated. From January to April 2020, 1,449 hospitalized cases of COVID-19 were reported, the first case being detected in late February 2020. Of the total 1,025 laboratory samples of cases hospitalized after the 8th epidemiological week, 87 (8.5%) of COVID-19 cases were confirmed. The median time between the onset of symptoms and the release of laboratory results was 12 days for the analyzed period. CONCLUSION: Epidemiological surveillance uses several data sources to monitor and analyze the transmission of COVID-19. The timeliness of this system to detect cases of the disease is compromised by the delay in the release of laboratory results, which has been a considerable challenge for adequate surveillance.
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Infecciones por Coronavirus/epidemiología , Epidemias , Monitoreo Epidemiológico , Neumonía Viral/epidemiología , Vigilancia de la Población , Brasil/epidemiología , COVID-19 , Ciudades/epidemiología , Infecciones por Coronavirus/mortalidad , Humanos , Pandemias , Neumonía Viral/mortalidadAsunto(s)
Betacoronavirus , Infecciones por Coronavirus/mortalidad , Certificado de Defunción , Pandemias/estadística & datos numéricos , Neumonía Viral/mortalidad , Distribución por Edad , Brasil/epidemiología , COVID-19 , Causas de Muerte , Ciudades/epidemiología , Humanos , Insuficiencia Respiratoria/mortalidad , SARS-CoV-2 , Sepsis/mortalidad , Síndrome Respiratorio Agudo Grave/mortalidadRESUMEN
Objectives: This study aims to describe the actions carried out by the epidemiological surveillance system in Belo Horizonte to address the COVID-19 epidemic and the timeless of the data for detecting transmission in 2020. Methods: The sources of information used by the epidemiological surveillance of the municipality for COVID-19 were identified and the temporal distribution and interval for detection of confirmed cases of the disease were analyzed. Results: The city's epidemiological surveillance uses outpatient, hospital, public and private laboratory notifications as data sources. For reporting COVID-19 cases in official information systems, there is also an active search of laboratory results linked to suspected deaths investigated. From January to April 2020, 1,449 hospitalized cases of COVID-19 were reported, the first case being detected in late February 2020. Of the total 1,025 laboratory samples of cases hospitalized after the 8th epidemiological week, 87 (8.5%) of COVID-19 cases were confirmed. The median time between the onset of symptoms and the release of laboratory results was 12 days for the analyzed period. Conclusion: Epidemiological surveillance uses several data sources to monitor and analyze the transmission of COVID-19. The timeliness of this system to detect cases of the disease is compromised by the delay in the release of laboratory results, which has been a considerable challenge for adequate surveillance.
Objetivos: Descrever as ações realizadas pela vigilância epidemiológica da Secretaria Municipal de Saúde de Belo Horizonte para enfrentamento da epidemia de COVID-19 e avaliar a oportunidade para detecção precoce da transmissão da doença durante o período compreendido entre 1 de janeiro a 24 de abril de 2020. Métodos: Foram identificadas as fontes de informação utilizadas pela vigilância epidemiológica do município para a COVID-19 e analisadas a distribuição temporal e oportunidade para detecção dos casos confirmados da doença. Resultados: A vigilância epidemiológica do município utiliza fontes de notificações ambulatoriais, hospitalares, de laboratórios públicos e privados, além de busca ativa com cruzamento de dados laboratoriais na investigação de óbitos suspeitos, sendo os casos confirmados de COVID-19 informados em sistemas de informação oficiais. Foram notificados 1.449 casos internados, sendo o primeiro caso detectado no final de fevereiro de 2020. Do total de 1.025 amostras laboratoriais de casos internados após a semana epidemiológica 8, foram confirmados 87 casos (8,5%) por COVID-19. A mediana de tempo entre o início dos sintomas e liberação dos resultados laboratoriais foi de 12 dias. Conclusão: A vigilância epidemiológica utiliza várias fontes de dados para monitoramento e análise da transmissão da COVID-19. A oportunidade para detecção de casos da doença está comprometida pela demora na liberação dos resultados laboratoriais, sendo um desafio para a vigilância.
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OBJECTIVE: To assess the years of life lost due to premature death and disability-adjusted life years (DALY) as a result of chronic noncommunicable diseases attributable to occupational hazard factors, and to compare their position according to the risk ranking for chronic noncommunicable diseases in 1990 and 2016. METHODS: Data for the DALY indicator, estimated from the Global Burden of Disease 2016 (GBD 2016) study, were analyzed for noncommunicable chronic diseases attributable to occupational, and other risk factors, selected in Brazil. A descriptive analysis was performed comparing the proportion of DALY by sex and age group (15 to 49 and 50 to 69 years old), as well as the ranking of occupational hazard factors in 1990 and 2016. RESULTS: In 2016, ergonomic risk factors, carcinogenic agents, and noise in the workplace were among the 25 largest contributors to DALY for chronic noncommunicable diseases affecting the age group between 15 and 49 years. The contribution of all occupational hazard factors increased in 2016, except for occupational aerodispersoids affecting men. Concerning the age group between 50 and 69, occupational carcinogens stand out, with an increase of 26.0% for men, and 17.1% for women in 2016. Risk factors evaluated according to their 1990 and 2016 ranking show that occupational hazards have all scored higher on the second evaluation (2016), especially when compared with other risks. CONCLUSIONS: The global burden of chronic noncommunicable diseases attributed to occupational hazard factors has become increasingly important. We suggest the strengthening of the approach of occupational hazard factors in the agendas for tackling these diseases in Brazil.
Asunto(s)
Enfermedad Crónica/epidemiología , Carga Global de Enfermedades , Esperanza de Vida , Enfermedades Profesionales/epidemiología , Exposición Profesional/efectos adversos , Adolescente , Adulto , Anciano , Brasil/epidemiología , Femenino , Humanos , Masculino , Persona de Mediana Edad , Factores de Riesgo , Adulto JovenRESUMEN
ABSTRACT OBJECTIVE To assess the years of life lost due to premature death and disability-adjusted life years (DALY) as a result of chronic noncommunicable diseases attributable to occupational hazard factors, and to compare their position according to the risk ranking for chronic noncommunicable diseases in 1990 and 2016. METHODS Data for the DALY indicator, estimated from the Global Burden of Disease 2016 (GBD 2016) study, were analyzed for noncommunicable chronic diseases attributable to occupational, and other risk factors, selected in Brazil. A descriptive analysis was performed comparing the proportion of DALY by sex and age group (15 to 49 and 50 to 69 years old), as well as the ranking of occupational hazard factors in 1990 and 2016. RESULTS In 2016, ergonomic risk factors, carcinogenic agents, and noise in the workplace were among the 25 largest contributors to DALY for chronic noncommunicable diseases affecting the age group between 15 and 49 years. The contribution of all occupational hazard factors increased in 2016, except for occupational aerodispersoids affecting men. Concerning the age group between 50 and 69, occupational carcinogens stand out, with an increase of 26.0% for men, and 17.1% for women in 2016. Risk factors evaluated according to their 1990 and 2016 ranking show that occupational hazards have all scored higher on the second evaluation (2016), especially when compared with other risks. CONCLUSIONS The global burden of chronic noncommunicable diseases attributed to occupational hazard factors has become increasingly important. We suggest the strengthening of the approach of occupational hazard factors in the agendas for tackling these diseases in Brazil.
RESUMO OBJETIVO Avaliar anos de vida perdidos por morte prematura e por incapacidade ( disability-adjusted life years - DALY) em decorrência de doenças crônicas não transmissíveis atribuíveis a fatores de risco ocupacionais e comparar a posição desses fatores no ranking dos riscos para doenças crônicas não transmissíveis em 1990 e 2016. MÉTODOS Os dados referentes ao indicador DALY, estimado no estudo de Carga Global de Doenças de 2016 (GBD 2016), foram analisados para doenças crônicas não transmissíveis atribuíveis a fatores de risco ocupacionais e outros selecionados no Brasil. Realizou-se análise descritiva comparando a proporção de DALY por sexo e faixa etária (15 a 49 e 50 a 69 anos), além do ranqueamento de atribuição dos fatores de risco ocupacionais em 1990 e 2016. RESULTADOS Em 2016, fatores de risco ergonômicos, agentes carcinogênicos e ruído no ambiente laboral estiveram entre os 25 que mais contribuíram para os DALY por doenças crônicas não transmissíveis na faixa etária de 15 a 49 anos. A contribuição de todos fatores de risco ocupacionais aumentou em 2016, exceto os aerodispersoides ocupacionais para os homens. Para a faixa etária de 50 a 69 anos, sobressaem os agentes carcinogênicos ocupacionais, com aumento de 26.0% para homens e 17.1% para mulheres em 2016. Comparando o ranqueamento de 1990 e 2016 dos fatores de risco avaliados, os ocupacionais ascenderam de posição, com destaque em relação aos demais. CONCLUSÕES A carga global de doenças crônicas não transmissíveis atribuídas aos fatores de risco ocupacionais têm adquirido importância crescente. Sugere-se reforçar a abordagem dos fatores de risco ocupacionais nas agendas para enfrentamento dessas doenças no Brasil.
Asunto(s)
Humanos , Masculino , Femenino , Adolescente , Adulto , Anciano , Adulto Joven , Enfermedad Crónica/epidemiología , Esperanza de Vida , Exposición Profesional/efectos adversos , Carga Global de Enfermedades , Enfermedades Profesionales/epidemiología , Brasil/epidemiología , Factores de Riesgo , Persona de Mediana EdadRESUMEN
INTRODUCTION: Brazil presented a high proportion of ill-defined causes of death (IDCD) in 2000, compromising accurate cause-of-death analysis. OBJECTIVE: To analyze specific underlying causes for deaths originally assigned as IDCD in the Mortality Information System (SIM - Sistema de Informação sobre Mortalidade), after investigation activities implemented in country between 2006 and 2017. METHOD: For all IDCD identified in the SIM, municipal health professionals collected information about the final disease obtained from hospital records, autopsies, forms of family health teams, and home investigation. Specific causes among reclassified IDCD after investigation were evaluated according to age groups and four calendar periods. RESULTS: Proportions of IDCD reassigned to other causes after review increased over time, reaching 30.1% in 2017. From a total of 257,367 IDCD reclassified in 2006-2017, neonatal-related conditions, injury, ischemic heart disease and stroke were the leading causes detected in the age groups 0-9 years, 10-29 years, 30-69 years, 70 years and over, respectively. DISCUSSION: The similarity and plausibility of cause-specific proportions derived from the reclassification of IDCD by age group over time indicate the accuracy of the investigation data. CONCLUSION: High proportions of IDCD reassigned to more informative causes after review indicate the success of this approach to correct misclassification in the SIM, an initiative that should be maintained. Training physicians on death certification along with better quality of medical care and access to health services would lead to further improvement.