Qian Dong1, Yi Zhang2. 1. Internal Medicine, Lixia District People's Hospital of Jinan City Jinan 250000, Shandong Province, China. 2. Department of Outpatient, Shandong Provincial Third Hospital Jinan 250031, Shandong Province, China.
Abstract
OBJECTIVE: This study aimed to explore the clinical effectiveness of applying a prospective information-based nursing quality management model in emergency medicine nursing management and its impact on the management quality. METHODS:170 inpatients treated in the emergency department of our hospital from April 2018 to March 2019 were recruited as the study cohort and randomly divided into a control group and a study group, with 85 patients in each group. In the study, the patients in the control group were treated using the routine nursing mode, and the patients in the study group were treated using the prospective information-based nursing quality management model to compare the nursing management quality, the nursing satisfaction, the occurrence of adverse events, the nursing compliance, the emergency response times, and the survival rates between the two groups. RESULTS: We found that the overall nursing management quality in the study group was better than it was in the control group. The nursing satisfaction rate in the study group (96.47%) was higher than the nursing satisfaction rate in the control group (83.53%) The rate of adverse events in the study group (5.88%) was lower than it was in the control group (16.47%), the nursing compliance rate in the study group (89.41%) was higher than it was in the control group (63.53%), the emergency response times in the study group were shorter than they were in the control group, and the postoperative survival rate in the study group was higher than it was in the control group, all with statistically significant differences (P<0.05). CONCLUSION: The prospective information-based nursing quality management model has a significant influence on emergency medicine nursing management. It can significantly improve the nursing management quality, the patients' satisfaction with the nursing process, and the nursing compliance, and it can effectively avoid adverse events, so it is worthy of promotion. AJTR
RCT Entities:
OBJECTIVE: This study aimed to explore the clinical effectiveness of applying a prospective information-based nursing quality management model in emergency medicine nursing management and its impact on the management quality. METHODS: 170 inpatients treated in the emergency department of our hospital from April 2018 to March 2019 were recruited as the study cohort and randomly divided into a control group and a study group, with 85 patients in each group. In the study, the patients in the control group were treated using the routine nursing mode, and the patients in the study group were treated using the prospective information-based nursing quality management model to compare the nursing management quality, the nursing satisfaction, the occurrence of adverse events, the nursing compliance, the emergency response times, and the survival rates between the two groups. RESULTS: We found that the overall nursing management quality in the study group was better than it was in the control group. The nursing satisfaction rate in the study group (96.47%) was higher than the nursing satisfaction rate in the control group (83.53%) The rate of adverse events in the study group (5.88%) was lower than it was in the control group (16.47%), the nursing compliance rate in the study group (89.41%) was higher than it was in the control group (63.53%), the emergency response times in the study group were shorter than they were in the control group, and the postoperative survival rate in the study group was higher than it was in the control group, all with statistically significant differences (P<0.05). CONCLUSION: The prospective information-based nursing quality management model has a significant influence on emergency medicine nursing management. It can significantly improve the nursing management quality, the patients' satisfaction with the nursing process, and the nursing compliance, and it can effectively avoid adverse events, so it is worthy of promotion. AJTR
Authors: Celia Ia Choo Tan; Jennifer Suet Ching Liaw; Bo Jiang; Sohil Equbal Pothiawala; Huihua Li; Mark Kwok Fai Leong Journal: Medicine (Baltimore) Date: 2018-06 Impact factor: 1.889
Authors: Million Tesfaye Eshete; Petra I Baeumler; Matthias Siebeck; Markos Tesfaye; Abraham Haileamlak; Girma G Michael; Yemane Ayele; Dominik Irnich Journal: PLoS One Date: 2019-05-01 Impact factor: 3.240