[Protection of nephrology health professionals during the COVID-19 pandemic]

El peor año de mi vida. Agotamiento emocional y burnout por la COVID-19 en profesionales de residencias. Estudio RESICOVID

Introducción

Material y métodos

Resultados

Conclusiones

Being A Hemodialysis Nurse During the COVID-19 Pandemic: A Phenomenological Approach

This study aimed to research the experiences of hemodialysis nurses during the COVID-19 pandemic. This study was designed with a descriptive phenomenological approach. The study was conducted with a total of 18 hemodialysis nurses. Content analysis method was used in the analysis of the data. As a result of the content analysis, six themes were determined. These were (I) encountering COVID-19, (II) social isolation, (III) difficulty maintaining nursing care, (IV) organizational issues, (V) professionalism, and (VI) coping methods. The research revealed that hemodialysis nurses experienced difficulties in their family lives, social lives, working environment and patient treatment during the pandemic. It was concluded that hemodialysis nurses need support physically and psychologically to cope with the fear of death, anxiety, exhaustion, and fatigue that they have experienced while working selflessly and vigorously with a small number of teams.

Prevalence of SARS-CoV-2 Infection in a Sample of Health Workers in Two Health Departments of the Valencian Community in Spain

Health care personnel constitutes the most vulnerable group of professionals, as they are employed in a work context with higher exposure to SARS-CoV-2 infection. This study aims to estimate the prevalence of SARS-CoV-2 infection in health personnel (n = 2858) of two health departments in the Valencian community between March 2020 and April 2021, as well as the sociodemographic and work variables predicting higher infection prevalence in this group. A cross-sectional descriptive study was performed on health workers from the health departments of Torrevieja and Elche-Crevillente of the Valencian Community (Spain). After obtaining the samples, the cases were identified through an active infection diagnostic test (AIDT). The analyzed variables were: sex, age (18-34/35-49/>50 years), professional category, health care, risk service, and AIDT. A total of 2858 staff members were studied. Of them, 55.4% (1582) underwent an AIDT, with 9.7% (277) of positive cases. Infection predominated in the age group of 18 to 34 years, 12.6% (OR = 1.98, 95% CI [1.26, 3.11]); nurses, 12.1% (OR = 1.5, 95% CI [1.00, 2.23]); and at-risk services, 11.4% (OR = 1.3, 95% CI [1.06, 1.81]). A very low positivity rate was identified in the health personnel linked to the health departments analyzed during the 14 months of the study period. Based on our results, prevention strategies could focus more intensively on the most at-risk groups, specifically young nurses who work in at-risk services, mainly in emergency and internal medicine.

Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices

The COVID-19 pandemic has been particularly threatening to patients with end-stage kidney disease (ESKD) on intermittent hemodialysis and their care providers. Hemodialysis patients who receive life-sustaining medical therapy in healthcare settings, face unique challenges as they need to be at a dialysis unit three or more times a week, where they are confined to specific settings and tended to by dialysis nurses and staff with physical interaction and in close proximity. Despite the importance and critical situation of the dialysis units, modelling studies of the SARS-CoV-2 spread in these settings are very limited. In this paper, we have used a combination of discrete event and agent-based simulation models, to study the operations of a typical large dialysis unit and generate contact matrices to examine outbreak scenarios. We present the details of the contact matrix generation process and demonstrate how the simulation calculates a micro-scale contact matrix comprising the number and duration of contacts at a micro-scale time step. We have used the contacts matrix in an agent-based model to predict disease transmission under different scenarios. The results show that micro-simulation can be used to estimate contact matrices, which can be used effectively for disease modelling in dialysis and similar settings.