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Objective:To investigate the status quo of disaster preparedness of nursing organization among newly recruited nurses in tertiary grade A hospitals of Zhengzhou city and analyze the influencing factors in order to provide theoretical basis for further improving the standardized training program for newly recruited nurses.Methods:This study was a cross-sectional survey. From December 2021 to March 2022, 964 newly recruited nurses from 4 tertiary grade A hospitals of Zhengzhou city were selected as the survey objects by convenient sampling method. The general information questionnaire and Hospital Nursing Department Disaster Preparedness Scale were used to conduct the questionnaire survey. Disordered multiple classification Logistic regression was used to analyze the influencing factors of disaster preparedness of hospital nursing organization.Results:The disaster preparedness score of nursing organization of newly recruited nurses was (37.62 ± 7.57) points. The results of disordered multiple classification Logistic regression showed that the factors influencing the disaster preparedness level of nursing organization of newly recruited nurses were whether they had participated in disaster rescue work and the degree of attention paid by nursing organizations to disaster rescue training (both P<0.05). Conclusions:The disaster preparedness of the nursing organization of newly recruited nurses in tertiary grade A hospitals of Zhengzhou city was at a medium level. Nursing managers should pay attention to the disaster preparedness of newly recruited nurses, develop their core abilities for disaster rescue according to their influencing factors, and incorporate disaster preparedness related contents on the basis of standardized training programs.
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The programmed death-1 (PD-1) inhibitor has a unique mechanism and better efficacy in classic Hodgkin lymphoma (cHL). Multiple PD-1 inhibitors have been approved for the salvage treatment of patients with cHL in advanced stage. The combination of PD-1 with other small molecule targeted drugs, immunoactive drugs or cytotoxic drugs can further improve the efficacy and have a better safety compared with the traditional treatment, meanwhile, the regimens have also been explored in treatment of recurrent and refractory patients and frontline therapy. In addition, 9P24.1 amplification, PD-1 ligand expression and circulating tumor DNA level may be potential biomarkers for predicting the efficacy of PD-1 inhibitors.