Social support and professional networks of nurses and nursing technicians in coping with Covid-19: A sectional study in two Brazilian cities

• Published in: PloS one 2023-01, Vol.18 (1), p.e0280357-e0280357
• Main Authors: David, Helena Maria Scherloski Leal, da Silva, Maria Rocineide Ferreira, Faria, Magda Guimarães de Araújo, da Silva, Tarciso Feijó, Ramos, Tatiana Cabral da Silva, Pereira-Silva, Marcus Vinicius
• Format: Article
• Language: English
• Subjects: Adaptation, Psychological; Analysis; Brazil; Categories; Cities; Computer and Information Sciences; Coping (Psychology); COVID-19; Cross-Sectional Studies; Curricula; Data collection; Epidemics; Health care; Humans; Medical personnel; Medicine and Health Sciences; Network analysis; Nurses; Nursing; Nursing education; Occupations; Pandemics; People and Places; Psychological aspects; Science Policy; Social aspects; Social interactions; Social network analysis; Social networks; Social organization; Social Sciences; Social Support; Technicians; Training; Working conditions; Workload; Workplaces
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0280357

Among healthcare workers, nurses are at exceptionally considerable risk for contracting COVID-19. Regardless of professionals' level of education, Brazilian nursing is one of the healthcare occupations shouldering the highest levels of responsibility and workload. Social support networks to health and nursing can be a strategy to reduce workload and stress and may contribute to implementing the activities and protecting workers' health. This study aimed to map and analyze social support networks at workplaces as informed by frontline nursing professionals working in healthcare units in the Brazilian cities of Rio de Janeiro and Fortaleza, capitals of the States of Rio de Janeiro and Ceará, respectively. This observational and cross-sectional study used an online data collection instrument based on social network analysis methodology. We recruited 163 participants in two reference services for health professionals suspected or with COVID-19 symptoms. The research question was: "Which category or categories of health professionals have supported you or other colleagues the most in the event of diagnosis or suspicion of COVID-19 among nursing categories? Data were organized by nursing category and city and analyzed through social network analysis using Ucinet©, generating graphs and centrality metrics. Results point to the central relevance of nursing categories in the workplace social support in the pandemic, followed by other health professional categories.