Contemporary Nursing

Objective To analyze the application effect of predictive nursing in pre-hospital emergency treatment of critically ill patients. Methods The clinical data of 100 pre-hospital emergency patients were retrospectively analyzed. The admission time was from June 2020 to July 2022. They were randomly divided into two groups, group Y (50 cases) and group C (50 cases) with predictive nursing and routine nursing. The nursing effects of group Y and group C were compared. Results From Table 1, it can be seen that there is a significant difference in treatment time, rescue time and hospitalization time between the two groups. The treatment time, rescue time and hospitalization time of patients in Group Y are shorter than those in Group C, with statistical significance (P<0.05). Table 2 shows that there is a significant difference in nursing satisfaction between the two groups. The nursing satisfaction of patients in Group Y is better than that of Group C, with statistical significance (P<0.05). It can be seen from Table 3 that there is a significant difference between the first aid effect and the success rate of transportation between the two groups. The first aid effect and the success rate of transportation of patients in Group Y are higher than those in Group C, with statistical significance (P<0.05). Conclusion The application effect of predictive nursing in pre-hospital emergency treatment of critically ill patients is particularly prominent, and it is worthy of clinical application.

Predictive nursing; Emergency treatment; Transshipment; Nursing mode