Shepardwright4971
To develop a social need index for stratification of municipalities and identification of priority areas for reducing fetal mortality.
ecological study, carried out in the state of Pernambuco, between 2010 and 2017. The technique of factor analysis by main components was used for the elaboration of the social need index. In the spatial analysis, the local empirical Bayesian estimator was applied and Moran's spatial autocorrelation was verified.
The social deprivation index selected two factors that, together, explained 77.63% of the total variance. The preventable fetal mortality rate increased among strata of social need, with rates of 8.0 per thousand births (low deprivation), 8.1 per thousand (medium deprivation), 8.8 per thousand (high deprivation), and 10.7 per thousand (very high social deprivation). Some municipalities in the São Francisco and Sertão Mesoregions had both high fetal and preventable fetal mortality, in addition to a very high social deprivation rate. Conclusion The spatial analysisiority areas for intervention in public policies to reduce fetal mortality and its determinants were detected.
To evaluate inadequacies in Certificates of Live Birth in a city in Southern Brazil between 2011 and 2015.
This is a retrospective quantitative study based on Certificates of Live Birth of mothers living in Itapema, Santa Catarina, issued from 2011 to 2015, using data from the Live Birth Information System.
Among 3,537 certificates, we found no mistakes in the variables newborn's sex, birth weight, maternal age, type of pregnancy, and type of delivery. Concerning incompleteness, the variable "cesarean section was performed before the start of labor" had a mean rate considered poor, while occupation was classified as good (above 6%), neighborhood as excellent (between 0.8 and 4.5%), and induction also as excellent (0.7 to 2.9%). Inaccuracies were greater in the ethnicity (up to 0.7%) and neighborhood (up to 1.3%) variables, both considered excellent. In the comparison between sections, the pregnancy and childbirth section was the most incomplete.
Data completeness in Certificates of Live Birth was considered excellent for most variables, and the classification of inaccuracies was excellent for all variables, evidencing the quality of the information found in these certificates.
Data completeness in Certificates of Live Birth was considered excellent for most variables, and the classification of inaccuracies was excellent for all variables, evidencing the quality of the information found in these certificates.
To estimate premature mortality due to noncommunicable diseases (NCDs) in Brazilian municipalities.
This ecological study estimated premature mortality rates due to cardiovascular diseases, chronic respiratory diseases, cancer and diabetes in Brazilian municipalities, for the three-year periods of 2010 to 2012 and 2015 to 2017, and it analyzed the spatial and temporal distribution of these rates. Data treatment combined proportional redistribution of the missing data and ill-defined causes, and the application of coefficients for under-registration correction. The local empirical Bayesian estimator was used to calculate municipal mortality rates.
Rates for the set of chronic diseases decreased in Brazil between the three-year periods. The mean rates for total NCDs declined in the South, Southeast and Central-West regions, remained stable in the North and increased in the Northeast. Mortality rates due to cardiovascular diseases were the highest in all regions but showed the greatest declines between the and Northeast had increased rates of deaths due to cancer. There was an increase in the rate of deaths due to diabetes in the Central-West.
To propose a method for improving mortality estimates from noncommunicable diseases (NCD), including the redistribution of garbage codes in Brazilian municipalities.
Brazilian Mortality Information System (MIS) was used as a data source to estimate age standardized mortality rates, before and after correction, for NCD (cardiovascular, chronic respiratory, diabetes, and neoplasms). The treatment for the correction of data addressed missing data, under-registration, and redistribution of garbage codes (GCs). Three-year periods 2010-2012 and 2015-2017, and the Bayesian method were used to estimate mortality rates, reducing the effect of fluctuation caused by small numbers at the municipal level.
GCs redistribution step showed greater weight in corrections, about 40% in 2000 and roughly 20% as from 2007, with stabilization starting in this year. Throughout the historical series, the quality of information on causes of death has improved in Brazil, with heterogeneous results being observed among municipalities.
Methodological studies that propose correction and improvement of the MIS are essential for monitoring mortality rates due to NCD at regional levels. The methodological proposal applied, for the first time in real data from Brazilian municipalities, is challenging and deserves further improvements. Improving the quality of the data is essential in order to build more accurate estimates based on the raw data from the SIM.
Methodological studies that propose correction and improvement of the MIS are essential for monitoring mortality rates due to NCD at regional levels. The methodological proposal applied, for the first time in real data from Brazilian municipalities, is challenging and deserves further improvements. https://www.selleckchem.com/ Improving the quality of the data is essential in order to build more accurate estimates based on the raw data from the SIM.
To generate estimates of mortality rates due to garbage codes (GC) for Brazilian municipalities by comparing the direct and the Bayesian methods, based on deaths registered in the Mortality Information System (SIM) between 2015 and 2017.
Data from the SIM were used. The analysis was performed in groups of GC levels 1 and 2, levels 3 and 4, and total GC. Mortality rates were estimated directly and also according to the Bayesian method by applying the Empirical Bayesian Estimator.
About 38% of GC were estimated and regional differences in mortality rates were observed, higher in the Northeast and Southeast and lower in the South and Midwest regions. The Southeast presented similar rates for the two analyzed groups of GC. The smallest differences between direct and Bayesian method estimates were observed in large cities with a population over 500 thousand inhabitants. Municipalities in the north of the state of Minas Gerais and those in the states of Rio de Janeiro, São Paulo, and Bahia presented high rates at levels 1 and 2.
There are differences in the quality of the definition of the underlying causes of death, even with the use of Bayesian methodology, which assists in smoothing the rates. The quality of the definition of causes of death is important, as they are associated with the access to and quality of healthcare services and support health planning.
There are differences in the quality of the definition of the underlying causes of death, even with the use of Bayesian methodology, which assists in smoothing the rates. The quality of the definition of causes of death is important, as they are associated with the access to and quality of healthcare services and support health planning.
The study aimed to validate the estimates of adult smokers determined by Vigitel for small areas, defined by the Health Vulnerability Index (IVS).
The database of the Health Survey of the Metropolitan Region of Belo Horizonte (RMBH) carried out in 2010 and the data from Vigitel in the period from 2010 to 2013 were used to obtain estimates of adult smokers by IVS. With Vigitel, the estimate of smokers by IVS was obtained by the indirect estimation method in small areas. The prevalence of adult smokers was compared, considering RMBH as the gold standard. The t test was used to evaluate the difference between the means and the Pearson correlation, with a significance level of 5%.
When stratifying by IVS in the household survey, the prevalence of adult smokers ranged from 13.39% (95%CI 11.88 - 14.91) for residents in a low-risk area to 22.9% (95%CI 12.33 - 33.48) among residents in a very high-risk area. With Vigitel, according to IVS, the prevalence of adult smokers ranged from 11.98% (95%CI 10.75 - 13.21) for residents in the low-risk area to 22.31% (95%CI 18.25 - 26.1) in very high-risk areas. The prevalence was similar between the two surveys, showing good Pearson correlation (r = 0.93).
The study points out that the estimates of smokers were similar in both surveys, showing the external validity of Vigitel. There was a gradient in prevalence, with progressive increase, identifying a higher proportion of smokers in high-risk areas.
The study points out that the estimates of smokers were similar in both surveys, showing the external validity of Vigitel. There was a gradient in prevalence, with progressive increase, identifying a higher proportion of smokers in high-risk areas.
To describe the socioeconomic, behavioral, clinical, and health-related characteristics of Brazilian older adults with Alzheimer's disease (AD).
Baseline data from the Brazilian Longitudinal Study of Aging were analyzed. This nationwide survey interviewed 9,412 adults aged at least 50 years. Self-reported medical diagnosis of AD and exposure variables (sociodemographic, clinical, behavioral, and health-related) were assessed by face-to-face questionnaire-based interview. Multivariate analyses accounted for possible confounding factors, and values were reported in prevalence ratio (PR) and 95% confidence interval (95%CI).
Participants with AD have important demographic differences compared with older non-AD participants such as low education level and retirement. Clinically, these patients reported more medical appointments, falls, and higher frequency and duration of hospitalizations compared with non-AD participants. These characteristics may be related to worse physical and mental health observed in this population. Indeed, two out of five older adults with AD in Brazil reported always feeling lonely, while two out of three said they felt depressed or sad much of the time. Adjusted analyses showed that patients with AD were 95% (95%CI 1.08 - 3.50) more likely to be hospitalized in a year compared with non-AD older adults. People with AD in Brazil were more likely to be diagnosed with diabetes (PR = 1.83 [95%CI 1.08 - 3.12]), depression (PR = 3.07% [95%CI 1.63 - 5.79]), Parkinson's disease (PR = 17.63 [95%CI 6.99 - 44.51]), and stroke (PR = 3.55 [95%CI 1.90 - 6.67]) compared with non-AD participants.
Older adults with AD in Brazil reported impaired physical and mental health compared with the non-AD population.
Older adults with AD in Brazil reported impaired physical and mental health compared with the non-AD population.
Coronavirus disease 2019 (COVID-19) is highly infectious causing millions of deaths worldwide. Nasopharyngeal swabs are the primary sample of choice for the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), thus, to decrease the exposure to potentially infected samples through the collection is a key point to reduce the risk of infection in healthcare workers.
This study aimed to evaluate the sensitivity and viral load of saliva specimens by days of symptoms onset comparing to nasopharyngeal swabs in subjects with mild symptoms.
Saliva and nasopharyngeal swabs samples were collected from São Paulo Hospital workers presenting mild symptoms, such as fever, cough, sore throat, rhinorrhea, myalgia, headaches, anosmia, ageusia, and fatigue. To understand the positivity and viral load, reverse transcription-polymerase chain reaction (RT-PCR) was performed.
Saliva specimens presented a sensitivity of 98.6% compared to nasopharyngeal swabs. Overall, saliva showed lower viral load compared to nasopharyngeal swabs, regarding days of symptoms onset on diagnosis, the first four days had significant changes in viral load and no significant difference was reported in the days five to nine.
