Obesity bias: How can this underestimated problem affect medical decisions in healthcare? A systematic review.

INTRODUCTION: Obesity is often labeled as a physical characteristic of a patient rather than a disease and it is subject to obesity bias by health providers, which harms the equality of healthcare in this population. OBJECTIVE: Identifying whether obesity bias interferes in clinical decision-making in the treatment of patients with obesity. METHODS: A systematic review of observational studies published between 1993 and 2023 in MEDLINE, Embase, and Cochrane Library on obesity bias and therapeutic decisions was carried out. The last search was conducted on June 30, 2023. The main outcome was the difference between clinical decisions in the treatment of individuals with and without obesity. The Newcastle-Ottawa scale for observational studies was used to assess for quality. After the selection process, articles were presented in narrative and thematic synthesis categories to better organize the descriptive analysis. RESULTS: Of the 2546 records identified, 13 were included. The findings showed fewer screening exams for cancer in patients with obesity, who were also susceptible to less frequent pharmacological treatment intensification in the management of diabetes. Women with obesity received fewer pelvic exams and evidence of diminished visual contact and physician confidence in treatment adherence was reported. Some studies found no disparities in treatment for abdominal pain and tension headaches between patients presented with and without obesity. CONCLUSION: The presence of obesity bias has negative effects on medical decision-making and on the quality of care provided to patients with obesity. These findings reveal the urgent necessity for reflection and development of strategies to mitigate its adverse impacts. (The protocol was registered with the international prospective register of systematic reviews, PROSPERO, under the number CRD42022307567).

Healthcare of pregnant women with diabetes during the COVID-19 pandemic: a Southern Brazilian cross-sectional panel data.

OBJECTIVES: To evaluate the indirect effects of the COVID-19 pandemic on the care of women with pregnancies complicated by gestational or pre-existing diabetes, and their maternal-fetal outcomes. METHODS: A cross-sectional panel data conducted in a University Hospital in Southern Brazil. Maternal-fetal outcomes and predictors of care from 235 pregnant women with type 1, type 2, or gestational diabetes were evaluated. Two time periods were compared: six months preceding the pandemic, in 2019, and the COVID-19 period from September 2020 to March 2021. Comparisons were performed using analysis of variance, Mann-Whitney U, Fisher's exact and T-tests. Risks were calculated using the Poisson regression with robust estimates. RESULTS: Maternal age was lower (32.1 ± 6.8 vs. 34.4 ± 6.6, p=0.009) and rates of depression/anxiety were higher (16.5 vs. 7.4%, p=0.046) in the group evaluated during the COVID-19. Neonatal hypoglycemia (RR 4.04; 95% CI 1.37-11.98, p=0.012), and SGA rates (RR 4.29; 95% CI 1.93-9.54, p<0.001) were higher in the group assessed before the pandemic. CONCLUSIONS: Despite economic, social and structural impacts of the pandemic, parameters of maternal care were similar; diabetes control improved, and neonatal hypoglycemia and SGA rates were lower among pregnant women with diabetes during the pandemic.

Prevalence of COVID-19 in medical school and residency in Porto Alegre, RS.

OBJECTIVE: A multicentric, cross-sectional study was carried out to determine the prevalence and risk factors for Coronavirus disease 2019 in medical students and residents from four universities and affiliated hospitals in Brazil. METHODS: A survey about contamination risk and symptoms was sent to all participants through email and WhatsApp. Prevalence was measured by the self-report of positive polymerase chain reaction or serological test. Univariate and multivariate analyses were performed, and odds ratio and 95% confidence interval were calculated. RESULTS: Prevalence of infection by Sars-CoV-2 was 14.9% (151/1011). The disease was more prevalent in residents and interns than in undergraduate students. Contact with an infected relative outside the hospital or with colleagues without using personal protective equipment was associated with higher contamination. Contact with patients without wearing goggles and higher weekly frequency of contact were the two factors independently associated with the infection by Coronavirus disease 2019 in the multivariate analysis. CONCLUSIONS: Medical students, interns, and residents have a higher prevalence of Coronavirus disease 2019 than the general population, in which the last two groups are significantly at higher risk. Contacting patients at a higher weekly frequency increases the risk for infection. The use of goggles should be reinforced when contacting patients.

Prevalence of COVID-19 in medical school and residency in Porto Alegre, RS

SUMMARY OBJECTIVE: A multicentric, cross-sectional study was carried out to determine the prevalence and risk factors for Coronavirus disease 2019 in medical students and residents from four universities and affiliated hospitals in Brazil. METHODS: A survey about contamination risk and symptoms was sent to all participants through email and WhatsApp. Prevalence was measured by the self-report of positive polymerase chain reaction or serological test. Univariate and multivariate analyses were performed, and odds ratio and 95% confidence interval were calculated. RESULTS: Prevalence of infection by Sars-CoV-2 was 14.9% (151/1011). The disease was more prevalent in residents and interns than in undergraduate students. Contact with an infected relative outside the hospital or with colleagues without using personal protective equipment was associated with higher contamination. Contact with patients without wearing goggles and higher weekly frequency of contact were the two factors independently associated with the infection by Coronavirus disease 2019 in the multivariate analysis. CONCLUSIONS: Medical students, interns, and residents have a higher prevalence of Coronavirus disease 2019 than the general population, in which the last two groups are significantly at higher risk. Contacting patients at a higher weekly frequency increases the risk for infection. The use of goggles should be reinforced when contacting patients.