Completeness and quality of information about death from COVID-19 in a Brazilian state: A descriptive population-based register study.

Health information is particularly essential in times of pandemics in which rapid response is crucial for political and stakeholder decision-making processes, and therefore the availability of data as well as its quality analysis are necessary. This study aimed to describe the completeness and quality of the e-Sistema Único de Saúde (SUS) Health Surveillance database (SUS Vigilância em Saúde) of the state of Espírito Santo, Brazil, from the notification of deaths from corana virus disease 2019 (COVID-19) from January 2020 to June 2021. A descriptive population-based register study was conducted from the analysis of the completeness of secondary data from the record of deaths from COVID-19, retrieved from the e-SUS Vigilância em Saúde (Health Surveillance) (VS) database of the state of Espírito Santo, Brazil, from January 2020 to June 2021. A total of 11,359 death records from COVID-19 via e-SUS VS in the state of Espírito Santo, Brazil, were evaluated. The score used to assess incompleteness was the 1 proposed by Romero and Cunha which classifies as excellent (when < 5%), good (between 5% and 10%), regular (between 10% and 20%), poor (between 20% and 50%), and very poor (when > 50%), according to the percentage of the absence of information. Descriptive statistical analyses were conducted in the Stata program, version 15.1. "Case identification" variables, and "condition" variables were classified as excellent completeness. Among the evolution variables, only "hospitalization" was classified as regular. Among the laboratory variables, only the polymerase chain reaction presented excellent completeness, while the "rapid test" and "serologies for immunoglobulin G, and immunoglobulin M" variables were classified as good completeness. It is concluded that most of the variables available in e-SUS VS of the state of Espírito Santo, Brazil, of notification of deaths from COVID-19 in 2020 presented excellent completeness, confirming the excellent quality of the state database.

COVID-19 Mortality in Public Hospitals in a Brazilian State: An Analysis of the Three Waves of the Pandemic.

OBJECTIVE: To analyze COVID-19 deaths in public hospitals in a Brazilian state, stratified by the three waves of the pandemic, and to test their association with socio-clinical variables. METHODS: Observational analytical study, where 5436 deaths by COVID-19 occurred in hospitals of the public network of Espírito Santo, between 1 April 2020, and 31 August 2021, stratified by the three waves of the pandemic, were analyzed. For the bivariate analyses, the Pearson's chi-square, Fisher's Exact or Friedman's tests were performed depending on the Gaussian or non-Gaussian distribution of the data. For the relationship between time from diagnosis to death in each wave, quantile regression was used, and multinomial regression for multiple analyses. RESULTS: The mean time between diagnosis and death was 18.5 days in the first wave, 20.5 days in the second wave, and 21.4 days in the third wave. In the first wave, deaths in public hospitals were associated with the following variables: immunodeficiency, obesity, neoplasia, and origin. In the second wave, deaths were associated with education, O2 saturation < 95%, chronic neurological disease, and origin. In the third wave, deaths were associated with race/color, education, difficulty breathing, nasal or conjunctival congestion, irritability or confusion, adynamia or weakness, chronic cardiovascular disease, neoplasms, and diabetes mellitus. Origin was associated with the outcome in the three waves of the pandemic, in the same way that education was in the second and third waves (p < 0.05). CONCLUSION: The time interval between diagnosis and death can be impacted by several factors, such as: plasticity of the health system, improved clinical management of patients, and the start of vaccination at the end of January 2021, which covered the age group with the higher incidence of deaths. The deaths occurring in public hospitals were associated with socio-clinical characteristics.

Survival analysis of penile cancer patients treatedat a tertiary oncology hospital.

This article aims to estimate the specific survival of patients with penile cancer treated at a state tertiary oncology hospital. The study included 100 cases incidents patients with penile cancer treated at a cancer center, from 2000 to 2011, follow-up to December 31, 2012. The hospital-based cancer registry and medical records were used as data sources. We used the Kaplan-Meier method to estimate survival and the Cox model was used to assess prognostic factors. All had histology for penile cancer as a basis for diagnosis. For location of the 75% tumor were not specified, followed by 18% located in the glans, 04% in the foreskin. The median survival time was 49 months, 89% presented themselves between stages I and II. Patients with rural occupations had a mean survival time of 75.02 months, patients with non-rural occupations 42.14 months; Patients residing in metropolitan area - Espírito Santo had a mean survival time of 26.03 months, other patients 71.42 months; In patients with compromised lymph nodes, the mean survival time was 30.59 months, and in patients with no compromised lymph nodes, the mean survival time was 75.83 months. This study demonstrates reduced survival in non-rural workers who reside in metropolitan area and who present with compromised lymph nodes and metastasis.

Survival analysis of penile cancer patients treatedat a tertiary oncology hospital / Análise de sobrevida de pacientes com câncer de pênis tratados em um hospital oncológico terciário

Abstract This article aims to estimate the specific survival of patients with penile cancer treated at a state tertiary oncology hospital. The study included 100 cases incidents patients with penile cancer treated at a cancer center, from 2000 to 2011, follow-up to December 31, 2012. The hospital-based cancer registry and medical records were used as data sources. We used the Kaplan-Meier method to estimate survival and the Cox model was used to assess prognostic factors. All had histology for penile cancer as a basis for diagnosis. For location of the 75% tumor were not specified, followed by 18% located in the glans, 04% in the foreskin. The median survival time was 49 months, 89% presented themselves between stages I and II. Patients with rural occupations had a mean survival time of 75.02 months, patients with non-rural occupations 42.14 months; Patients residing in metropolitan area - Espírito Santo had a mean survival time of 26.03 months, other patients 71.42 months; In patients with compromised lymph nodes, the mean survival time was 30.59 months, and in patients with no compromised lymph nodes, the mean survival time was 75.83 months. This study demonstrates reduced survival in non-rural workers who reside in metropolitan area and who present with compromised lymph nodes and metastasis.

Resumo O objetivo deste artigo é estimar a sobrevida específica dos pacientes com câncer de pênis atendidos em um hospital de referência em oncologia. Analisou-se 100 casos incidentes de pacientes com câncer de pênis que receberam tratamento no hospital, no período de 2000 a 2011, seguimento até 31 de dezembro de 2012. Utilizou-se como fonte de informação o banco de dados do Registro Hospitalar de Câncer e o prontuário do paciente. Utilizou-se o método de Kaplan-Meier para estimar a sobrevida e o modelo de Cox para investigar os fatores prognósticos. Todos possuíam histologia para câncer do pênis como base para o diagnóstico da doença. Para localização do tumor 75% não foram especificados, seguido de 18% na glande, 04% no prepúcio. O tempo mediano de sobrevida foi de 49 meses, 89% apresentavam-se entre os estádios I e II. Pacientes com ocupação rural apresentaram sobrevida média de 75,02 meses, ocupação não rural de 42,14 meses. Os procedentes da Grande Vitória - Espírito Santo sobrevida média de 26,03 e demais pacientes de 71,42 meses. Homens com linfonodo positivo possuíram sobrevida média de 30,59 meses e, sem comprometimento, 75,83 meses. A presença de metástase esteve associada a menores taxas de sobrevida. Trabalhadores não rurais, proveniente da Grande Vitória, com presença de linfonodo acometido e metástase apresentaram pior sobrevida.

Association between life events after diagnosis of breast cancer and metastasis. / Associação entre eventos de vida pós diagnóstico de câncer de mama e metástase.

The objective was to examine the association between life events post diagnosis of breast câncer and metastasis. Cross-sectional study with 300 women attending a reference hospital in oncology in the Espírito Santo. Was used the instrument Life Events Units-LEU/VAS to evaluate life events reported by women. Data were analyzed by using the nonparametric Wilcoxon and chi-square tests. It was performed odds ratio calculation for the variables associated with metastasis. It was found that 21% of the sample reported at least one life event post diagnosis. Of the 46 women who developed metastases, 20 reported one or more life events (p = 0.001). The odds ratio calculated shows that having life events post diagnosis increases by 2.59 (1,37 - 4,91; p = 0,003) times the chance of developing metastasis. When considering the time between diagnosis and the onset of metastasis there was a median of 18.0 months. The study shows a relationship between life events and metastasis, however emphasize the importance of a more complex analysis to better understand the impacts of these events on the onset and progression of breast cancer.

Objetivou-se examinar a associação entre os eventos de vida pós-diagnóstico de câncer de mama e o aparecimento de metástase. Estudo transversal realizado com 300 mulheres atendidas em um hospital de referência em oncologia no Espírito Santo. Utilizou-se o instrumento "Life Events Units- LEU/VAS", para avaliar os eventos de vida relatados pelas mulheres. Os dados foram analisados através dos testes não paramétrico de Wilcoxon e qui-quadrado. Foi realizado cálculo de "odds ratio" para as variáveis associadas à metástase. Identificou-se que 21% da amostra relatou pelo menos um evento de vida após o diagnóstico. Das 46 mulheres que evoluíram para metástase, 20 relataram um ou mais eventos de vida (p = 0,001). O "odds ratio" calculado aponta que ter eventos de vida pós-diagnóstico aumenta em 2,59 (1,37 ­ 4,91; p = 0,003) vezes a chance de desenvolver metástase. Quando considerado o tempo transcorrido entre o diagnóstico e o surgimento da metástase observou-se uma mediana de 18,0 meses. O estudo mostra uma relação entre eventos de vida e metástase, entretanto, ressalta-se a importância de uma análise mais complexa para compreender melhor os impactos causados por esses eventos no surgimento e na progressão do câncer de mama.

Associação entre eventos de vida pós diagnóstico de câncer de mama e metástase / Association between life events after diagnosis of breast cancer and metastasis

Resumo Objetivou-se examinar a associação entre os eventos de vida pós-diagnóstico de câncer de mama e o aparecimento de metástase. Estudo transversal realizado com 300 mulheres atendidas em um hospital de referência em oncologia no Espírito Santo. Utilizou-se o instrumento "Life Events Units- LEU/VAS", para avaliar os eventos de vida relatados pelas mulheres. Os dados foram analisados através dos testes não paramétrico de Wilcoxon e qui-quadrado. Foi realizado cálculo de "odds ratio" para as variáveis associadas à metástase. Identificou-se que 21% da amostra relatou pelo menos um evento de vida após o diagnóstico. Das 46 mulheres que evoluíram para metástase, 20 relataram um ou mais eventos de vida (p = 0,001). O "odds ratio" calculado aponta que ter eventos de vida pós-diagnóstico aumenta em 2,59 (1,37 - 4,91; p = 0,003) vezes a chance de desenvolver metástase. Quando considerado o tempo transcorrido entre o diagnóstico e o surgimento da metástase observou-se uma mediana de 18,0 meses. O estudo mostra uma relação entre eventos de vida e metástase, entretanto, ressalta-se a importância de uma análise mais complexa para compreender melhor os impactos causados por esses eventos no surgimento e na progressão do câncer de mama.

Abstract The objective was to examine the association between life events post diagnosis of breast câncer and metastasis. Cross-sectional study with 300 women attending a reference hospital in oncology in the Espírito Santo. Was used the instrument Life Events Units-LEU/VAS to evaluate life events reported by women. Data were analyzed by using the nonparametric Wilcoxon and chi-square tests. It was performed odds ratio calculation for the variables associated with metastasis. It was found that 21% of the sample reported at least one life event post diagnosis. Of the 46 women who developed metastases, 20 reported one or more life events (p = 0.001). The odds ratio calculated shows that having life events post diagnosis increases by 2.59 (1,37 - 4,91; p = 0,003) times the chance of developing metastasis. When considering the time between diagnosis and the onset of metastasis there was a median of 18.0 months. The study shows a relationship between life events and metastasis, however emphasize the importance of a more complex analysis to better understand the impacts of these events on the onset and progression of breast cancer.

Breast cancer: diagnosis-to-treatment waiting times for elderly women at a reference hospital of São Paulo, Brazil.

This study compares waiting time from diagnosis of breast cancer to start of treatment with patients' social-demographic and clinical profiles in women aged 60 or more at the PérolaByington Hospital, São Paulo, over the years 2001-2006.It is a descriptive study based on secondary data in a sample of 1,299 cases. Social-demographic, clinical and temporal variables were collected. Patients were divided into two groups: those with period between diagnosis and start of treatment less than 60 days, and greater than 60 days. The average time between diagnosis and start of treatment was 74.7 days (SD = 212.6), and the median time was 45 days. This waiting time was lower for subjects without diagnosis and without prior treatment (p = 0.001), and also for those with tumors at Stage 0, in situ or Stage I(p = 0.001). Time was significant for the outcomes of relapse (p = 0.004) and metastasis (p = 0.038). Having established diagnosis and treatment also resulted in lower time to start of the required care. Improvement to the structuring and functioning of the health service is an essential need, for dealing with the cases of the disease in an efficient manner, an important challenge for Brazil's Unified Health System.

Estudo do tempo entre o diagnóstico e início do tratamento do câncer de mama em idosas de um hospital de referência em São Paulo, Brasil / Breast cancer: diagnosis-to-treatment waiting times for elderly women at a reference hospital of São Paulo, Brazil

Resumo Objetivou-se analisar o tempo entre o diagnóstico e o início do tratamento e conhecer o perfil sociodemográfico e clínico de mulheres com 60 ou mais anos de idade, diagnosticadas com câncer de mama entre os anos de 2001 a 2006, no Hospital Pérola Byington, São Paulo. Trata-se de um estudo descritivo, com dados secundários e amostra de 1299 casos. Coletou-se variáveis sociodemográficas, clínicas e temporais. Formou-se dois grupos de mulheres utilizando a variável tempo, sendo o tempo entre o diagnóstico e o início do tratamento: “até e maior que 60 dias”. A média do tempo entre o diagnóstico e o início do tratamento foi de 74,7 dias (DP = 212,6), e o tempo mediano de 45 dias. As idosas sem o diagnóstico e sem o tratamento anterior levaram menos tempo para dar início ao tratamento (p = 0,001), bem como as mulheres com estadiamento do tumor na fase inicial, in situ e I (p = 0,001). O tempo foi significante para os desfechos de recidiva (p = 0,004) e metástase (p = 0,038). O diagnóstico e o tratamento estabelecidos garantiu às idosas menor tempo para o início da assistência devida. Melhorar a estruturação e o funcionamento dos serviços de saúde constitui fator imprescindível para o atendimento dos casos da doença de forma eficiente, um importante desafio para o Sistema Único de Saúde.

Abstract This study compares waiting time from diagnosis of breast cancer to start of treatment with patients’ social-demographic and clinical profiles in women aged 60 or more at the PérolaByington Hospital, São Paulo, over the years 2001–2006.It is a descriptive study based on secondary data in a sample of 1,299 cases. Social-demographic, clinical and temporal variables were collected. Patients were divided into two groups: those with period between diagnosis and start of treatment less than 60 days, and greater than 60 days. The average time between diagnosis and start of treatment was 74.7 days (SD = 212.6), and the median time was 45 days. This waiting time was lower for subjects without diagnosis and without prior treatment (p = 0.001), and also for those with tumors at Stage 0, in situ or Stage I(p = 0.001). Time was significant for the outcomes of relapse (p = 0.004) and metastasis (p = 0.038). Having established diagnosis and treatment also resulted in lower time to start of the required care. Improvement to the structuring and functioning of the health service is an essential need, for dealing with the cases of the disease in an efficient manner, an important challenge for Brazil’s Unified Health System.