Effects of electronic care delivery sheet based on evidence and knowledge-to-action model among ICU patients
10.3760/cma.j.cn115682-20191024-03841
- VernacularTitle:基于循证理论与"知识-行动"模型的电子护理交接单在ICU患者中的应用
- Author:
Yueling HAN
1
;
Yanyan CUI
;
Wei SUN
;
Yanping CHEN
;
Li YANG
Author Information
1. 郑州大学第一附属医院综合ICU 450052
- Keywords:
Intensive care units;
Knowledge-to-action;
Electronic care delivery sheet
- From:
Chinese Journal of Modern Nursing
2020;26(11):1482-1485
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the effects of knowledge-to-action (KTA) frame and evidence-based electronic care delivery sheet among ICU patients.Methods:A total of 122 ICU patients from the First Affiliated Hospital of Zhengzhou University from June 2018 to May 2019 were selected as the research subjects by convenient sampling. Under the guidance of KTA frame, this study designed the electronic care delivery sheet based on identification-situation-background-assessment-recommendation (ISBAR) standard communication tool. A total of 122 ICU patients were divided into control group ( n=62) and intervention group ( n=60) . Control group carried out the routine delivery form, while intervention group applied the electronic care delivery sheet. We compared the delivery quality of charge nurses between two groups. Results:The delivery time of patients between intervention group and control group was (2.78±1.12) min and (6.52±1.45) min respectively with a statistical difference ( P<0.05) . The incidences of delivery omitted item and nursing risk event in intervention group were 3.33% (2/60) and 0 respectively lower than those in control group with a statistical difference ( P<0.05) . The total scores of care delivery of patients in intervention group was (69.75±12.86) , and control group was and (58.68±9.87) , there was a statistical difference ( P<0.05) . Conclusions:The electronic care delivery sheet based on KTA frame and evidence for ICU patients can improve the care delivery quality and nursing quality which is worthy of clinical generalization.