Objective: Map the scientific evidence on the use of clinical decision support systems in diabetic foot care.
Method: A scoping review based on the JBI Manual for Evidence Synthesis and registered on the Open Science Framework platform. Searches were carried out in primary and secondary sources on prototypes and computerized tools aimed at assisting patients with diabetic foot or at risk of having it, published in any language or period, in eleven databases and grey literature.
Objective: to identify the space-time pattern of mortality due to Diabetes Mellitus in Brazil, as well as its relationship with social development indicators.
Method: an ecological and time series nationwide study based on secondary data from the Unified Health System Informatics Department, with space-time analysis and inclusion of indicators in non-spatial and spatial regression models. The following was performed: overall mortality rate calculation; characterization of the sociodemographic and regional profiles of the death cases by means of descriptive and time analysis; and elaboration of thematic maps.
This study aimed to analyze the effectiveness of a mobile application for adherence to foot self-care in people with type 2 diabetes at risk for diabetic foot ulcer. A double-blind randomized controlled clinical trial was conducted with people with type 2 diabetes in a secondary healthcare unit. A total of 42 patients were recruited, matched, and allocated into two groups: one (intervention group) undergoing standard nursing consultations and application use and the other (control group) receiving only standard nursing consultations.
View Article and Find Full Text PDFObjective: to analyze the evidence of validity of the internal structure of the dimension Human Person of the Questionnaire of Health Vulnerability in Heart Failure.
Method: psychometric study with 1,008 people with heart failure, in a tertiary healthcare institution located in Northeastern Brazil. The internal structure was assessed by exploratory factor analysis with a polychoric correlation matrix, followed by confirmatory factor analysis to verify the quality of the model fit.
Objective: To analyze the association between diabetes mellitus and hospital deaths due to Covid-19 in Brazil, from February to August 2020.
Methods: This was a cross-sectional study on hospitalized flu-like syndrome cases, with a positive test result for COVID-19, reported on the Influenza Epidemiological Surveillance Information System. Poisson regression with robust variance was used to estimate the magnitude of the association between diabetes and deaths.
Objectives: to investigate the requirements for building an educational and care application about heart failure.
Methods: exploratory study, carried out with 15 people with heart failure and 19 family members/caregivers, assisted in a tertiary unit in the Brazilian Northeast. Individual semi-structured interviews were carried out between November and December 2020.
Background: Heart failure (HF) is a leading cause of mortality and morbidity worldwide, and is associated with the high use of resources and healthcare costs. In Brazil, the HF prevalence is around 2 million patients, and its incidence is of approximately 240,000 new cases per year.
Objective: The present investigation aimed to analyze the spatiotemporal trend of mortality caused by HF in Brazil, from 1996 to 2017.
Objective: to analyze the mobile apps on heart failure available in the main operating systems and their usability.
Methods: benchmarking of mobile applications, systematic research, comprising 38 mobile applications for analysis of general information, functionalities and usability. Usability was assessed using System Usability Scale and Smartphone Usability Questionnaire, followed by the calculation of the agreement index and the exact binomial distribution test, with a significance level of p> 0.
Vulnerability is a crucial factor in addressing COVID-19 as it can aggravate the disease. Thus, it should be considered in COVID-19 control and health prevention and promotion. This ecological study aimed to analyze the spatial distribution of the incidence of COVID-19 cases in a Brazilian metropolis and its association with social vulnerability indicators.
View Article and Find Full Text PDFAims And Objectives: To estimate the prevalence and associated factors of COVID-19 in people with flu-like syndrome in Ceará, Brazil.
Background: COVID-19 is an infectious disease that has led to a worldwide public health emergency. More than 30,000 cases were confirmed in Brazil, especially in the States of São Paulo, Rio de Janeiro and Ceará.
Objective: to estimate the transmission rate, the epidemiological peak, and the number of deaths by the new coronavirus.
Method: a mathematical and epidemiological model of susceptible, infected, and recovered cases was applied to the nine Brazilian capitals with the highest number of cases of the infection. The number of cases for the 80 days following the first case was estimated by solving the differential equations.
Objective: to analyze the temporal pattern of tuberculosis cure, mortality, treatment abandonment in Brazilian capitals.
Method: this is an ecological study whose data source was the Information System of Notifiable Diseases for Tuberculosis (Sistema de Informação de Agravos de Notificação para Tuberculose). For analysis of temporal evolution, regressions by join points were performed considering the annual percentage variation and the significance of the trend change with 95% confidence interval.