Factors associated with professional identity among ICU nurses during COVID-19: A cross-sectional study.

AIM: To determine the associated factors of professional identity among intensive care unit (ICU) nurses during the COVID-19 pandemic in China. DESIGN: Multicentre cross-sectional study. METHODS: This study invited 348 ICU nurses in five hospitals in China from May to July 2020. Online self-report questionnaires were adopted to collect their demographic and occupational characteristics, perceived professional benefits and professional identity. Based on univariate and multiple linear regression analysis, a path analysis was performed to determine the associated factors' effects on professional identity. RESULTS: The mean score of professional identity was 102.38 ± 16.46. Perceived professional benefits, doctor recognition level and family support level were associated with ICU nurses' professional identity. The path analysis revealed that perceived professional benefits and doctor recognition level had direct effects on professional identity. In addition, doctor recognition level and family support level had indirect effects on professional identity through the mediation of perceived professional benefits.

Factors for peripherally inserted central catheters care delay in cancer patients during the COVID-19 pandemic.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has rapidly evolved into a global pandemic. The public health systems have consequently been placed under tremendous pressure. Peripherally inserted central catheters (PICCs) are widely used in patients with cancers. Little is known about the provision of PICCs care amongst cancer patients during this pandemic. METHODS: We studied 156 cancer patients with PICCs treated at the Cancer Center of the Fifth Affiliated Hospital of Sun Yat-sen University between January 2020 and March 2020. Their clinical characteristics, social features, psychological characteristics, and PICCs care situations were analyzed. The chi-squared (χ2) test or Fisher's exact test were used for univariate analyses. Multivariate logistic regression analyses were performed using stepwise variable selection. Differences were evaluated using a two-tailed test, and P<0.05 was considered statistically significant. RESULTS: Of 156 patients, 57 (36.5%) experienced delays of PICCs care, and 12 (21.1%) suffered from complications including infection, thrombosis, and mechanical failure. Univariate analysis detected that the increased risk of PICCs care delay was associated with older age (≥30), lower level of education (<9 years), working, taking public transport to the hospital, anxiety about COVID-19, lower social support rating scale (SSRS) score (<30). Multivariate analysis detected level of education, being employed or not, mode of transport, and SSRS score were independent predictive factors for the delay in PICCs care. CONCLUSIONS: Physical aspects, social factors, and psychological status commonly influenced patients' health care seeking behaviors such as PICCs maintenance. An increase in effort is required from patients' families and society to assure optimal care for cancer patients during this pandemic.