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1.
BMC Med Educ ; 23(1): 361, 2023 May 22.
Article in English | MEDLINE | ID: mdl-37217908

ABSTRACT

BACKGROUND: The COVID-19 pandemic put healthcare professionals, including residents (postgraduate trainees of health professions), under intense physical and psychological stress, hence at risk for mental disorders. We evaluated the prevalence of mental disorders among healthcare residents during the pandemic. METHODS: From July to September 2020, residents in medicine and other healthcare specialties in Brazil were recruited. The participants completed electronic forms with validated questionnaires (DASS-21, PHQ-9, BRCS) to screen for depression, anxiety, and stress, and to evaluate resilience. Data on potential predisposing factors for mental disorders were also collected. Descriptive statistics, chi-squared, students t, correlation and logistic regression models were applied. The study received ethical approval, and all participants provided informed consent. RESULTS: We included 1313 participants (51.3% medical; 48.7% nonmedical) from 135 Brazilian hospitals; mean (SD) age: 27.8 (4.4) years; 78.2% females; 59.3% white race. Of all participants, 51.3%, 53.4% and 52.6% presented symptoms consistent with depression, anxiety, and stress, respectively; 61.9% showed low resilience. Nonmedical residents exhibited higher anxiety compared to medical residents (DASS-21 anxiety score, mean difference: 2.26; 95% CI: 1.15-3.37; p < 0.001). In multivariate analyses, having any pre-existent, nonpsychiatric chronic disease was associated with higher prevalence of symptoms indicative of depression (odds ratio, OR: 2.05; 95% CI: 1.47-2.85, on DASS-21 | OR: 2.26; 95% CI: 1.59-3.20, on PHQ-9), anxiety (OR: 2.07; 95% CI: 1.51-2.83, on DASS-21), and stress (OR: 1.53; 95% CI: 1.12-2.09, on DASS-21); other predisposing factors were identified; by contrast, high resilience (BRCS score) was protective against symptoms of depression (OR 0.82; 95% CI: 0.79-0.85, on DASS-21 | OR 0.85; 95% CI: 0.82-0.88, on PHQ-9), anxiety (OR 0.90; 95% CI: 0.87-0.93, on DASS-21), and stress (OR 0.88; 95% CI: 0.85-0.91, on DASS-21); p < 0.05 for all outcomes. CONCLUSIONS: We found a high prevalence of mental disorder symptoms among healthcare residents during COVID-19 pandemic in Brazil. Nonmedical residents exhibited higher levels of anxiety than medical ones. Some predisposing factors for depression, anxiety and stress among residents were identified.


Subject(s)
COVID-19 , Mental Disorders , Female , Humans , Adult , Male , COVID-19/epidemiology , Pandemics , Prevalence , SARS-CoV-2 , Depression/diagnosis , Mental Health , Anxiety/psychology
2.
Comun. ciênc. saúde ; 29(supl. 1): 39-44, ago. 2018. tab
Article in Portuguese | LILACS | ID: biblio-972688

ABSTRACT

OBJETIVO: avaliar o efeito da implementação do sistema de estratificação e regulação de consultas, capacitação de servidores, apoio matricial e gestão das filas de espera no tempo para consulta com neurologista. MÉTODO: por meio do gerenciamento das listas de espera, analisou se a origem e o motivo para os encaminhamentos entre 2014 e2017. Com a disponibilização de neurologista na gestão, realizou-se contrar referências, capacitações e matriciamento. RESULTADOS: houve redução de 95% da fila de espera. CONCLUSÃO: criou-se elo funcional entre os pontos da rede de atençãoà saúde, crucial para garantir a fluidez do processo, contribuindo para uma assistência mais efetiva, eficaz e eficiente.


OBJECTIVE: to evaluate the effect of the implementation of the system of stratification and regulation of consultations, training of servers, support matrix and management of waiting queues in time for consultation with neurologist. METHOD: Through the management of the waiting lists, the origin and the reason for the referrals between 2014 and 2017 were analyzed. With the availability of neurologist in the management, counterreferences, capacitations and matriciamento were realized. RESULTS: There was a 95% reduction in the waiting list. CONCLUSION: a functional link was established between the points of the health care network, crucial to guarantee the flow of the process, contributing to a more effective, effective and efficient assistance.


Subject(s)
Humans , Health Management , Primary Health Care , Secondary Care , Neurology
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