Demographic and professional risk factors of SARS-CoV-2 infections among physicians in low- and middle-income settings: Findings from a representative survey in two Brazilian states

Health workers (HWs) are a key resource for health systems worldwide, and have been affected heavily by the COVID-19 pandemic. Evidence is consolidating on incidence and drivers of infections, predominantly in high-income settings. It is however unclear what the risk factors may be for specific health professions, particularly in low- and middle-income countries (LMICs). We conducted a cross-sectional survey in a representative sample of 1,183 medical doctors registered with Brazil's Federal Council of Medicine in one developed (São Paulo) and one disadvantaged state (Maranhão). Between February-June 2021, we administered a telephone questionnaire to collect data on physicians' demographics, deployment to services, vaccination status, and self-reported COVID-19 infections. We performed descriptive, univariate, and multilevel clustered analysis to explore the association between physicians' infection rates, and their sociodemographic and employment characteristics. A generalized linear mixed model with a binomial distribution was used to estimate the adjusted odds ratio. We found that 35.8% of physicians in our sample declared having been infected with SARS-CoV-2 virus during the first year of the pandemic. The infection rate in Maranhão (49.2%) [95% CI 45.0–53.4] was almost twice that in São Paulo (24.1%) [95% CI 20.8–27.5]. Being a physician in Maranhão [95% CI 2.08–3.57], younger than 50 years [95% CI 1.41–2.89] and having worked in a COVID-19 ward [95% CI 1.28–2.27], were positively associated with the probability of infection. Conversely, working with diagnostic services [95% CI 0.53–0.96], in administrative functions [95% CI 0.42–0.80], or in teaching and research [95% CI 0.48–0.91] were negatively associated. Based on our data from Brazil, COVID-19 infections in LMICs may be more likely in health systems with lower physician-to-patient ratios, and younger doctors working in COVID-19 wards may be infected more frequently. Such findings may be used to identify policies to mitigate COVID-19 effects on HWs in LMICs.

Demographic and professional risk factors of SARS-CoV-2 infections among physicians in low- and middle-income settings: Findings from a representative survey in two Brazilian states.

Health workers (HWs) are a key resource for health systems worldwide, and have been affected heavily by the COVID-19 pandemic. Evidence is consolidating on incidence and drivers of infections, predominantly in high-income settings. It is however unclear what the risk factors may be for specific health professions, particularly in low- and middle-income countries (LMICs). We conducted a cross-sectional survey in a representative sample of 1,183 medical doctors registered with Brazil's Federal Council of Medicine in one developed (São Paulo) and one disadvantaged state (Maranhão). Between February-June 2021, we administered a telephone questionnaire to collect data on physicians' demographics, deployment to services, vaccination status, and self-reported COVID-19 infections. We performed descriptive, univariate, and multilevel clustered analysis to explore the association between physicians' infection rates, and their sociodemographic and employment characteristics. A generalized linear mixed model with a binomial distribution was used to estimate the adjusted odds ratio. We found that 35.8% of physicians in our sample declared having been infected with SARS-CoV-2 virus during the first year of the pandemic. The infection rate in Maranhão (49.2%) [95% CI 45.0-53.4] was almost twice that in São Paulo (24.1%) [95% CI 20.8-27.5]. Being a physician in Maranhão [95% CI 2.08-3.57], younger than 50 years [95% CI 1.41-2.89] and having worked in a COVID-19 ward [95% CI 1.28-2.27], were positively associated with the probability of infection. Conversely, working with diagnostic services [95% CI 0.53-0.96], in administrative functions [95% CI 0.42-0.80], or in teaching and research [95% CI 0.48-0.91] were negatively associated. Based on our data from Brazil, COVID-19 infections in LMICs may be more likely in health systems with lower physician-to-patient ratios, and younger doctors working in COVID-19 wards may be infected more frequently. Such findings may be used to identify policies to mitigate COVID-19 effects on HWs in LMICs.

Cultural adaptation and updating of the Risk assessment and management of exposure of health care workers in the context of covid-19 questionnaire.

OBJECTIVE: to translate and culturally adapt the Risk assessment and management of exposure of health care workers in the context of covid-19 questionnaire to the Brazilian context and to develop and evaluate a sociodemographic and occupational characterization questionnaire to compose the adapted questionnaire. METHOD: five stages were conducted to adapt the Risk assessment and management of exposure of health care workers in the context of covid-19 questionnaire, namely: translation, synthesis of the translations, evaluation by a committee of judges, back translation and pre-test. As for the complementary questionnaire, it was elaborated and evaluated by a committee of judges and a pre-test was carried out. RESULTS: the questionnaires were validated and the pre-test stage was conducted with health workers and students. CONCLUSION: the final version adapted to the Brazilian context was called Questionário de avaliação de risco e gestão da exposição de trabalhadores e estudantes de saúde no contexto da covid-19 and is available for use, together with the final version of the Sociodemographic and occupational questionnaire: Risk assessment and management of exposure of health care workers and students in the context of covid-19. These questionnaires may assist in mitigating the risks of infection, illness and death of health workers and students due to covid-19.

The multiple uses of telemedicine during the pandemic: the evidence from a cross-sectional survey of medical doctors in Brazil.

BACKGROUND: The use of telemedicine, or the provision of healthcare and communication services through distance-based technologies, has increased substantially since the 2019 novel coronavirus (COVID-19) pandemic. However, it is still unclear what are the innovative features of the widespread use of such modality, its forms of employment and the context in which it is used across pluralist health systems, particularly in low- and middle-income settings. We have sought to provide empirical evidence on the above issues by analysing the responses of medical doctors in a representative cross-sectional survey in two states in Brazil: São Paulo and Maranhão. METHODS: We analysed the responses of 1,183 physicians to a survey on the impact of COVID-19 on their livelihood and working practice. Two independent samples per state were calculated based on a total of 152,511 active medical registries in São Paulo and Maranhão. Proportional stratified sampling was performed and the distributions for gender, age, state and location of address (capital or countryside) were preserved. The survey contained questions on the frequency of physicians' employment of telemedicine services; the specific activities where these were employed, and; the forms in which the pandemic had influenced the adoption or consolidation of this technology. We performed descriptive and univariate analysis based on the chi-square test or Fisher's exact test for the qualitative data, and the Mann-Whitney test in the quantitative cases. Data were shown as absolute frequency and proportion with a 95% confidence interval. RESULTS: In our sample of physicians, telemedicine was employed as a form of clinical collaboration by most doctors (76.0%, 95 CI 73.6-78.5), but only less than a third of them (30.6%, 95 CI 28.0-33.3) used it as a modality to provide healthcare services. During the pandemic, telemedicine was used predominantly in COVID-19-related areas, particularly for hospital-based in-patient services, and in private clinics and ambulatory settings. Male, younger doctors used it the most. Doctors in São Paulo employed telemedicine more frequently than in Maranhão (p < 0.001), in urban settings more than in rural areas (p < 0.001). Approximately three-quarters of doctors in large hospitals reported using telemedicine services (78.3%, 95 CI 75.9-80.6), followed by doctors working for smaller private clinics (66.4%, 95 CI 63.7-69.1), and by a smaller proportion of primary care doctors (58.4%, 95 CI 55.6-61.2). CONCLUSIONS: Our study suggests that telemedicine may have helped ensure and expand the range of communication and healthcare services in low- and middle-income settings during the COVID-19 pandemic. However, the modality appears to lend itself to be disproportionally used by doctors working in specific, priviledged sections of pluralistic health systems, and presumably by patients seeking care there. Regulation and incentives will be required to support the use of the technology across health systems in low- and middle-income countries in order to increase access to services for less disadvantaged populations.

Incidence and associated factors of type 2 diabetes mellitus onset in the Brazilian HIV/AIDS cohort study.

BACKGROUND: People living with HIV (PLH) under combined antiretroviral therapy (cART) are at risk of developing type 2 diabetes mellitus (T2DM). OBJECTIVE: We examined the incidence of T2DM, associated factors and mean time to outcome in PLH under cART. METHOD: Data for this multicenter cohort study were obtained from PLH aged over 18, who started cART in 13 Brazilian sites from 2003 to 2013. Factors associated with incident T2DM were evaluated by Cox multiple regression models. RESULTS: A total of 6724 patients (30,997.93 person-years) were followed from January 2003 to December 2016. A T2DM incidence rate of 17.3/1000 person-years (95%CI 15.8-18.8) was observed. Incidence of isolated hypertriglyceridemia and impaired fasting glucose (IFG) were 84.3 (95%CI 81.1-87.6) and 14.5/1000 person-years (95%CI 13.2-15.9), respectively. Mean time to T2DM onset was 10.5 years (95%CI 10.3-10.6). Variables associated with incident T2DM were age 40-50 [Hazard Ratio (HR) 1.7, 95%CI 1.4-2.1] and ≥ 50 years (HR 2.4, 95%CI 1.9-3.1); obesity (HR 2.1, 95%CI 1.6-2.8); abnormal triglyceride/HDL-cholesterol ratio (HR 1.8, 95%CI 1.51-2.2). IFG predicted T2DM (HR 2.6, 95%CI 1.7-2.5) and occurred on average 3.3 years before diabetes onset. Exposure to stavudine for ≥ 2 years was independently associated with incident T2DM [HR 1.6, 95%CI 1.0-2.2). CONCLUSION: Brazilian PLH under cART are at significant risk of developing T2DM and share risk factors for diabetes onset with the general population, such as older age, obesity, and having metabolic abnormalities at baseline. Moreover, stavudine use was independently associated with incident T2DM. Identifying PLH at a higher risk of T2DM can help caretakers trigger health promotion and establish specific targets for implementation of preventive measures.

Cultural adaptation and updating of the Risk assessment and management of exposure of health care workers in the context of covid-19 questionnaire* Adaptación cultural y actualización del cuestionario Risk assessment and management of exposure of health care workers in the context of covid-19 Adaptação cultural e atualização do questionário Risk assessment and management of exposure of health care workers in the context of covid-19

Objective: to translate and culturally adapt the Risk assessment and management of exposure of health care workers in the context of covid-19 questionnaire to the Brazilian context and to develop and evaluate a sociodemographic and occupational characterization questionnaire to compose the adapted questionnaire. Method: five stages were conducted to adapt the Risk assessment and management of exposure of health care workers in the context of covid-19 questionnaire, namely: translation, synthesis of the translations, evaluation by a committee of judges, back translation and pre-test. As for the complementary questionnaire, it was elaborated and evaluated by a committee of judges and a pre-test was carried out. Results: the questionnaires were validated and the pre-test stage was conducted with health workers and students. Conclusion: the final version adapted to the Brazilian context was called Questionário de avaliação de risco e gestão da exposição de trabalhadores e estudantes de saúde no contexto da covid-19 and is available for use, together with the final version of the Sociodemographic and occupational questionnaire: Risk assessment and management of exposure of health care workers and students in the context of covid-19. These questionnaires may assist in mitigating the risks of infection, illness and death of health workers and students due to covid-19.

COVID-19-related hospital cost-outcome analysis: The impact of clinical and demographic factors.

INTRODUCTION: Although patients' clinical conditions have been shown to be associated with coronavirus disease (COVID-19) severity and outcome, their impact on hospital costs are not known. This economic evaluation of COVID-19 admissions aimed to assess direct and fixed hospital costs and describe their particularities in different clinical and demographic conditions and outcomes in the largest public hospital in Latin America, located in São Paulo, Brazil, where a whole institute was exclusively dedicated to COVID-19 patients in response to the pandemic. METHODS: This is a partial economic evaluation performed from the hospital´s perspective and is a prospective, observational cohort study to assess hospitalization costs of suspected and confirmed COVID-19 patients admitted between March 30 and June 30, 2020, to Hospital das Clínicas of the University of São Paulo Medical School (HCFMUSP) and followed until discharge, death, or external transfer. Micro- and macro-costing methodologies were used to describe and analyze the total cost associated with each patient's underlying medical conditions, itinerary and outcomes as well as the cost components of different hospital sectors. RESULTS: The average cost of the 3254 admissions (51.7% of which involved intensive care unit stays) was US$12,637.42. The overhead cost was its main component. Sex, age and underlying hypertension (US$14,746.77), diabetes (US$15,002.12), obesity (US$18,941.55), chronic renal failure (US$15,377.84), and rheumatic (US$17,764.61), hematologic (US$15,908.25) and neurologic (US$15,257.95) diseases were associated with higher costs. Age strata >69 years, reverse transcription polymerase chain reaction (RT-PCR)-confirmed COVID-19, comorbidities, use of mechanical ventilation or dialysis, surgery and outcomes remained associated with higher costs. CONCLUSION: Knowledge of COVID-19 hospital costs can aid in the development of a comprehensive approach for decision-making and planning for future risk management.