To investigate the discomfort status of medical staff aiding Hubei Province during the epidemic situation of COVID-19 and analyze its influencing factors.

Medical staff who worked in three designated admission hospital for COVID-19 in Hubei Province from February to April 2020 were selected by convenient sampling method. The demographic characteristics questionnaire and the questionnaire of discomfort symptoms of medical staff aiding Hubei Province were designed by researchers, and the questionnaire on demographic characteristics included factors such as gender, age, original unit level, occupation and working years and so on; the discomfort symptoms for medical staff aiding Hubei Province includes 11 items in physiological dimension, 2 items in psychological dimension and 1 item in social support dimension. In addition, add an open-ended question. Grade Likert 5 scoring was used for each item, with 1-2 points for each item for mild discomfort; 3-4 points for moderate discomfort; and 5 points for severe discomfort. The "Questionnaire Star" WeChat small program were used and the unified guide to the respondents before the investigation began were gave by researchers, and then distributed the questionnaire online in the form of two-dimensional code. The respondents filled in the questionnaire according to their actual feelings within 2 weeks after work, and the researcher collected the data in the background. The sample size was calculated according to the specific requirements of the factor analysis. The internal consistency reliability and structural validity of the questionnaire on the discomfort of the medical staff aiding Hubei Province were analyzed; the demographic characteristics of the medical staff aiding Hubei Province were calculated, and the univariate analysis and multiple linear regression analysis of the discomfort factors of the staff aiding Hubei Province were conducted. Data were compared with t test, one-way analysis of variance, non-parametric test, and multiple linear stepwise regression.

Through statistical analysis of 72 pre-experimental questionnaires data collected in the previous period, the Cronbach′s coefficient of this research questionnaire was 0.89, and the Cronbach′s coefficients of physiological and psychological dimensions were 0.86 and 0.88, respectively, showed that the questionnaire had good internal consistency reliability. The χ² value of Bartlett was 364.54, the difference was statistically significant (P<0.05), the KMO value accumulated variance was 0.85 and the cumulative variance contribution rate of the three common factors was 61.98%, indicated that the questionnaire showed good structural validity. In total, 240 questionnaires were distributed, 240 questionnaires were recovered, 216 valid questionnaires were collected, and the effective recovery rate was 90%. According to statistics, the average score of discomfort for each item of the medical staff aiding Hubei Province was (3.03±0.76) points, which was at the moderate level. Extrusion of the body parts, skin changes, insomnia / multiple dreams, dyspnea / anoxia and body pain were the main discomfort symptoms of medical staff aiding Hubei Province; the univariate analysis of the discomfort scores of medical staff aiding Hubei Province showed that the differences in gender, occupation, working years, job title, working hours, and whether there was a history of related diseases were statistically significant (P<0.05). The results of further multi-factor analysis of these factors showed that occupation, job title and history of related diseases were the main influencing factors of discomfort scores of medical staff aiding Hubei Province(t=6.24, 5.15, -5.84; P<0.05). Open problem survey results showed that protective equipment clothing problems and reasonable scheduling problems were also uncomfortable problems for medical staff aiding Hubei Province.

Medical staff aiding Hubei Province have different degrees of medical discomfort during the epidemic situation of COVID-19. Managers should pay attention to the discomfort symptoms of medical staff, focus on whether they have related disease history, intervene from occupational and professional titles, and adopt comprehensive nursing management countermeasures to reduce the influencing factors, minimize the discomfort of medical staff and maintain the best state to participate in the anti-epidemic of COVID-19.