Background: Disability insurance represents a significant economic burden within Brazil's social security system, yet long-term cost trends across disease groups remain understudied, hindering informed prevention and management strategies. Hospital costs, which account for approximately 40% of direct healthcare expenses, were selected as a comparative reference to contextualize the economic burden of disability insurance.
Objective: This study analyzes long-term cost trends of newly granted disability insurance by disease groups in Brazil, comparing them to public health system hospitalization expenses.
Background: There is a lack of research on whether COVID-19 disruptions in breast cancer screening, diagnosis, and treatment affected mortality rates over time.
Method: This ecological time series study, covering the period between 2013 and 2023, utilizes the inflection point regression model and calculates the Annual Percentage Change (APC). The study used open-access data from the Brazilian Mortality Information System.
In this work, the type of fermentation and baking technology used to make hemp bread was investigated. The physicochemical composition of flour and bread, the protein nutritional quality, fatty acids profile, texture, consumer acceptance, analysis of volatile compounds using an electronic nose and chemical compounds using an electronic tongue were determined. Differences in protein and total dietary fiber content were observed in the obtained breads.
View Article and Find Full Text PDFBackground: The impact of the COVID-19 pandemic on breast cancer care across Brazilian regions with varying Human Development Index (HDI) levels remains unclear. This study evaluates the pandemic's effects on screening mammograms, tumor staging at diagnosis, and treatment initiation in the Brazilian Public Health System between 2017 and 2022, focusing on regions with different HDI levels.
Methods: This ecological time series study uses an inflection point regression model and monthly percentage change (MPC) to analyze an open-access Brazilian Public Healthcare System dataset.
Background: The COVID-19 pandemic has overwhelmed the healthcare systems of many countries and negatively impacted the care of other diseases.
Objective: To evaluate the trend of screening mammograms, oncological breast surgeries, and breast cancer hospitalizations in Brazil's public and private healthcare system between 2014 and 2022.
Method: This ecological time series study uses the inflection point regression model and semester percentage change (SPC).