ABSTRACT
OBJECTIVE: To investigate the perceived-stigma level of COVID-19 patients in the early stage of the epidemic and analysed related factors and correlations that affected the stigma levels. METHODS: The COVID-19 patients were selected using the convenience sampling method. Perceived-stigma level was evaluated using the Social Impact Scale (SIS). Frequency was used to describe the general information and disease investigation status of COVID-19 patients; mean and standard deviation were used for describing stigma levels, Wilcoxon signed-ranks test (nonparametric test) was applied for pairwise comparison. Kruskal-Wallis non-parametric test for grade data, and Dwass-Steel-Critchlow-Fligner test for multiple comparative analysis. Multiple linear regression analysis was performed, and statistically significant indicators in single-factor analysis were included to investigate the independent factors of stigma. The p<0.05 was considered statistically significant. RESULTS: SIS score of the 122 COVID-19 patients averaged 57.37±9.99 points. There were statistically significant differences in perceived-stigma levels among patients of different ages (p = 0.008), occupation (p <0.001), marital status (p = 0.009), and disease severity (p = 0.020). Multivariate logistic regression analysis revealed that age was the main influencing factor of stigma (p<0.05). CONCLUSIONS: The overall perceived-stigma level of COVID-19 patients in the early stage of the epidemic was moderate. Younger, unmarried, and severely ill patients had a higher level of perceived-stigma, with age being the main factor. More attention should be given to the young COVID-19 patients.
Subject(s)
COVID-19/pathology , Social Stigma , Adult , Age Factors , COVID-19/epidemiology , COVID-19/virology , China/epidemiology , Cross-Sectional Studies , Humans , Linear Models , Male , Marriage , Middle Aged , SARS-CoV-2/isolation & purification , Severity of Illness Index , Surveys and QuestionnairesABSTRACT
OBJECTIVE: The study aims to analyze the correlation between hope levels and resilience in patients with severe novel coronavirus pneumonia (COVID-19). METHODS: Fifty-six patients with severe COVID-19 were investigated, with the use of a general information questionnaire, the Herth Hope Index, and the Connor-Davidson resilience scale. RESULTS: There was a significant difference in patients' hope levels with respect to marital status and educational background (P < 0.05), and there was a significant difference in resilience scores depending on gender and family economic situation (P < 0.05). In the present study, the hope levels and resilience in the patients were moderate, with an average score of (34.93 ± 5.45) and (69.36 ± 15.52), respectively. There was a significant positive correlation between the hope level and the resilience score in these patients (P < 0.05). CONCLUSION: In patients with severe COVID-19, the higher the hope level, the higher the resilience score.
ABSTRACT
BACKGROUND: In Wuhan, China, in December 2019, the novel coronavirus was detected. The virus causing COVID-19 was related to a coronavirus named severe acute respiratory syndrome coronavirus (SARS-CoV). The virus caused an epidemic in China and was quickly contained in 2003. Although coming from the same family of viruses and sharing certain transmissibility factors, the local health institutions in China had no experience with this new virus, subsequently named SARS-CoV-2. METHODS: Based on their prior experience with the 2003 SARS epidemic, health authorities in China recognized the need for personal protective equipment (PPE). Existing PPE and protocols were limited and reflected early experience with SARS; however, as additional PPE supplies became available, designated COVID-19 hospitals in Hubei Province adopted the World Health Organization guidelines for Ebola to create a protocol specific for treating patients with COVID-19. RESULTS: This article describes the PPE and protocol for its safe and effective deployment and the implementation of designated hospital units for COVID-19 patients. To date, only 2 nurses working in China who contracted SARS-CoV-2 have died from COVID-19 in the early period of the epidemic (February 11 and 14, 2020). CONCLUSIONS: The lessons learned by health care workers in China are shared in the hope of preventing future occupational exposure.