RESUMO

OBJECTIVE: To investigate the levels of anxiety, depression and stress and their associated factors, among nursing professionals who make up the team working against COVID-19 of a University Hospital in the south of Brazil. METHOD: Exploratory, descriptive, cross-sectional study conducted from May to July 2020. RESULTS: From the total number of professionals, 53.8% had anxiety; 38.4% depression; and 40.3%, stress. Age, length of service in the profession, job satisfaction and work shift showed a statistically significant association with depression, while the employment contract, length of service in the UH, length of service in the unit prior to the opening of the COVID-19 unit and satisfaction at work showed a significant association with stress. CONCLUSIONS: The nursing professionals of the COVID-19 team have important levels of anxiety, depression and stress, and the factors associated with depression and stress have been identified.

Assuntos

RESUMO

Care teams are formed by physicians of different specialties who take care of the same patient. Hence, if we find physicians that share patients with each other probably they configure an informal care team. Thus, the objective of this work is to explore the possibility of finding care teams using Social Network Analysis techniques in physician-physician networks where the physicians have patients in common. For this, we used healthcare insurance claims to build the network. There was the agreement on the metrics of degree and eigenvalue and of betweenness and closeness, also physicians with the 5 highest eigenvalues are highly interconnected. We discuss that the analysis of the physician-physician network with metrics of centrality is promising to reveal informal care teams. The high potential in calculating these metrics is verified from the results to evaluate member's performance and with that how to take actions to improve the work of the team.

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RESUMO

O objetivo é analisar os relacionamentos entre médicos que possuem pacientes em comum a partir de sinistros de seguradora de saúde. Utilizou-se a técnica de analítica de grafos para modelar os relacionamentos e foram calculadas métricas de centralidades para encontrar a importância relativa dos médicos. Houve a concordância das métricas de grau e auto valor e de betweenness e closeness (10% a 15% no top 100 médicos). Além disso, os 5 médicos com maior valor na métrica de auto valor estão altamente conectados entre si. Conclui-se que as métricas captaram o relacionamento entre os médicos desta comunidade que coincidem com a literatura indicando que é possível encontrar médicos que colaboram entre si no cuidado do paciente dentro e fora do hospital. Além disso, os médicos de maior auto valor indicam que são referência para outros médicos e médicos que estão conectados com muitos outros sugerem que estes influenciam nas decisões de seus pacientes.

The aim of this work is to analyze the relationship between physicians from a health insurance company,who attend the same patient. We use graph analytics to model the physician's relationship. Centrality metrics were calculated to find the relative importance of the physicians. There was the agreement on the metrics of degree and eingenvalue and of betweenness and closeness (10% to 15% in the top 100 physicians). In addition, physicians with5 highest eigenvalue in the metric are highly interconnected. We conclude that the metrics captured the relations hipbetween the physicians in this community that coincide with the literature, indicating that we can find physicians who collaborate on patient care within and outside the hospital. In addition, physicians with largest eigenvalue indicate thatthey are reference to other physicians, and physicians who are connected to many others, suggest, that they influence their patients' decisions.

Assuntos