Level of Trust of the Population in the Unified Health System in the Midst of the COVID-19 Crisis in Brazil.

OBJECTIVE: to assess the level of trust in health services during the COVID-19 pandemic in Brazil. METHODS: A cross-sectional study, carried out between 2020 and 2021, among Brazilians over 18. Nonprobabilistic sampling was used. Descriptive and inferential statistics were applied, using the local bivariate Moran's technique to verify the existence of spatial dependence between the incidence and mortality of COVID-19 and trust in health services. Furthermore, multinomial regression was also used to analyze the factors associated with the confidence level, with the calculation of the odds ratio and with a confidence interval of 95%. RESULTS: A total of 50.6% reported trust in hospital services, while 41.4% did not trust primary health care services. With the application of the local bivariate Moran, both for the incidence and mortality of COVID-19, the trust in tertiary care and primary care services showed a statistically significant spatial association predominant in the Midwest (high-low) and North (low-high) regions of Brazil. The level of trust was associated with education, religion, region of the country and income. CONCLUSIONS: The level of trust in hospital services, more than primary health care services, may be related to the population's culture of prioritizing the search for hospital care at the detriment of health promotion and disease prevention.

Association between biopsychosocial factors and self-reported COVID-19 clinical complications in a Brazilian city.

OBJECTIVE: This study aimed to analyze the existence of an association between the biopsychosocial profile of people affected and the number of self-reported clinical complications from COVID-19 in a Brazilian city. METHODS: This is a cross-sectional (baseline) study, nested in a cohort study, carried out with 217 confirmed cases of COVID-19, interviewed from January to October 2021, during home visits, in a city in the south of Minas Gerais, Brazil. A structured questionnaire with the KoboToolbox resource was used. The independent variables were sociodemographic and clinical profile (comorbidities), quality of life, post-traumatic stress, anxiety, depression, and social support. The dependent variable was the number of self-reported clinical complications from COVID-19. The multivariate linear regression technique was adopted for the analyses. RESULTS: The participants reported multiple clinical complications from COVID-19. There were "four or more" complications in 94.6% of the cases. Having a history of high blood pressure was associated with more complications post-SARS-CoV-2 infection, whereas having a caregiver and presenting with post-traumatic stress were associated with fewer COVID-19 complications. CONCLUSION: The multisystemic nature of the complications caused by COVID-19 and the associations identified emphasizes the need for an integrated approach to patients and for studies that monitor the effects of the disease on the demands placed on health systems, aiming to better understand and address them.

Impact of COVID-19 on Tuberculosis Indicators in Brazil: A Time Series and Spatial Analysis Study.

BACKGROUND: We aimed to visualize and classify the time series of COVID-19, tuberculosis (TB) notification, and TB outcomes (cure, treatment abandonment, and death), verify the impact of the new coronavirus pandemic on these indices in Brazil, and verify the presence of spatial autocorrelation between COVID-19 and TB. METHODS: This was an ecological time series study that considered TB and COVID-19 cases. Seasonal Trend Decomposition using Loess (STL) was used to trace the temporal trend, Prais-Winsten was used to classify the temporal trend, Interrupted Time Series (ITS) was used to verify the impact of COVID-19 on TB rates, and the Bivariate Moran Index (Global and Local) was used to verify the spatial autocorrelation of events. RESULTS: Brazil and its macro-regions showed an increasing temporal trend for the notification of TB in the pre-pandemic period. Only the Northeast Region showed a decreasing temporal trend for cured cases. For treatment abandonment, all regions except for the Northeast showed an increasing temporal trend, and regarding death, Brazil and the Northeast Region showed an increasing temporal trend. With the ITS, COVID-19 caused a decline in TB notification rates and TB outcome rates. With the global spatial analysis, it was possible to identify the existence of spatial autocorrelation between the notification rate of COVID-19 and the TB notification rate and deaths. With the local analysis, it was possible to map the Brazilian municipalities and classify them according to the relationship between the rates of both diseases and space. CONCLUSIONS: COVID-19 influenced the follow-up of and adherence to TB treatment and intensified social vulnerability and, consequently, affected the notification of TB since the relationship between the disease and social determinants of health is already known. The restoration and strengthening of essential services for the prevention and detection of cases and treatment of TB in endemic environments such as Brazil have been oriented as a priority in the global health agenda.