Effect of Clinical Care Pathway under Multidisciplinary Collaborative Diagnosis and Treatment Model on the Suc-cess Rate of Treatment for Emergency Patients with Multiple Injuries
Objective:To investigate the impact of clinical nursing pathway(CNP)under multidisciplinary collaborative diagno-sis and treatment(MDT)model on the success rate of treatment for emergency patients with multiple injuries,and to provide a ba-sis for clinical care.Methods:120 patients with acute multiple injuries admitted to the hospital from January 2020 to January 2021 were selected as the study subjects,and were divided into the conventional group and the combined group according to the random number table method,with 60 cases in each group.The conventional group used conventional emergency care,and the com-bined group implemented CNP care under the MDT model on the basis of conventional care.The rescue time,trauma severity[trau-ma severity(ISS)score],rescue success rate,and complications of patients in the two groups were compared.Results:The emergen-cy stay time,emergency examination time and consulting physician arrival time of the combined group were significantly shorter than those of the conventional group,and the differences were statistically significant(t=8.861,14.790,9.184,P＜0.05).After care,the ISS scores of patients in both groups were lower than before care,and the combined group was lower than the conventional group,and the difference was statistically significant(t=13.380,P＜0.05).There was no statistically significant difference in the comparison of the success rate of rescue treatment between the two groups(x2=1.365,P＞0.05).The complication rate of the com-bined group was significantly lower than that of the conventional group,and the difference was statistically significant(x2=15.790,P＜0.05).Conclusion:CNP care in a MDT model can improve the success rate of saving patients with multiple injuries in the emergency room,shorten the emergency room stay and examination time,and reduce the occurrence of postoperative complications.
万方数据
维普
