Multidrug-resistant organism (MDRO) infections not only prolong length of hospital stay and increase medical costs, but also elevate mortality risk of patients. Compared to other wards, patients in intensive care unit (ICU) are more susceptible to MDRO infections and linked to poorer prognosis. Therefore, predicting and preventing MDRO infections among ICU patients are crucial. This article reviews risk factors for MDRO infections and the progress of prediction models among ICU inpatients, aiming to provide references for constructing MDRO risk prediction models with higher reliability and practicality for clinical application.

OBJECTIVE: To study the working experience of COVID-19 care nurses. METHODS: Twenty two nurses taking care of COVID-19 patients were interviewed by means of descriptive phenomenology. All the data were transcribed and recorded, and then processed into WORD documents. The Colaizzi 7 footwork was used to classify, encode, establish nodes and extract themes based on Nvivo11.0 software. RESULTS: Two main themes were extracted: one is the positive feelings of nurses, including the sense of professional mission and pride, the sense of achievement and happiness, the improvement of self-worth and ability, the powerful support system and the power of role models; the other is the negative experience of nurses, including the worry and anxiety at work, the lack of experience and trust, the difficulty of work, and the inconvenience of isolating life. CONCLUSIONS s While fully affirming the work value of nurses, it is necessary for the society, hospitals and patients to give extensive and continuous support, care and respect to nurses, so as to stimulate their working enthusiasm and sense of professional achievement. Hospital managers need to implement all kinds of security work, meet the safety needs of nurses, pay attention to the physical and mental health of nurses, strengthen the training of nursing talents for critical and severe diseases and infectious diseases, improve the allocation of human resources, and enhance the ability of material allocation and reserve for major health events, so as to make adequate preparations for coping with public health events in the future.
Betacoronavirus ; Coronavirus Infections ; Hospitals ; statistics & numerical data ; Humans ; Nurses ; statistics & numerical data ; Pandemics ; Pneumonia, Viral ; Qualitative Research ; Workplace ; statistics & numerical data