Perioperative Nurses and Nutrition

AORN Journal ◽  
2012 ◽  
Vol 96 (4) ◽  
pp. 438-442
Author(s):  
Jacqueline J. Monahan
Keyword(s):  
2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Satu Rauta ◽  
Sanna Salanterä ◽  
Tero Vahlberg ◽  
Kristiina Junttila

Patient classification systems generate information for staff allocation based on a patient’s care needs. This study aims to test further the instrument for assessing nursing intensity (NI) in perioperative settings. Nine operating departments from five university hospitals were involved. The perioperative nurses gathered data from patients (N=876) representing different fields of surgery. Reliability was tested by parallel classifications (n=144). Also, the users’ (n=40) opinions were surveyed. The results support the predictive validity and interrater reliability of the instrument. The nurses considered the instrument feasible to use. The patients’ low ASA class did not automatically signify low NI; however, high ASA class was more frequently associated with high intraoperative NI. Intraoperative NI indicated the length of the postanaesthesia care and the type of the follow-up unit. Parallel classifications ensured the homogenous use of the instrument. The use of the instrument is recommended.


2016 ◽  
Vol 29 (2) ◽  
Author(s):  
Jed Duff ◽  
Margaret Butler ◽  
Menna Davies ◽  
Robyn Williams ◽  
Jannelle Carlile

2018 ◽  
Vol 31 (1) ◽  
Author(s):  
Usavadee Asdornwised ◽  
Daranee Pipatkulchai ◽  
Suwat Damnin ◽  
Vitoon Chinswangwatanakul ◽  
Mongkol Boonsripitayanon ◽  
...  

2020 ◽  
pp. bmjstel-2019-000576
Author(s):  
David B Clarke ◽  
Alena I Galilee ◽  
Nelofar Kureshi ◽  
Murray Hong ◽  
Lynne Fenerty ◽  
...  

IntroductionPrevious studies have shown that simulation is an acceptable method of training in nursing education. The objectives of this study were to determine the effectiveness of tablet-based simulation in learning neurosurgical instruments and to assess whether skills learnt in the simulation environment are transferred to a real clinical task and retained over time.MethodsA randomised controlled trial was conducted. Perioperative nurses completed three consecutive sessions of a simulation. Group A performed simulation tasks prior to identifying real instruments, whereas Group B (control group) was asked to identify real instruments prior to the simulation tasks. Both groups were reassessed for knowledge recall after 1 week.ResultsNinety-three nurses completed the study. Participants in Group A, who had received tablet-based simulation, were 23% quicker in identifying real instruments and did so with better accuracy (93.2% vs 80.6%, p<0.0001) than Group B. Furthermore, the simulation-based learning was retained at 7 days with 97.8% correct instrument recognition in Group A and 96.2% in Group B while maintaining both speed and accuracy.ConclusionThis is the first study to assess the effectiveness of tablet-based simulation training for instrument recognition by perioperative nurses. Our results demonstrate that instrument knowledge acquired through tablet-based simulation training results in improved identification and retained recognition of real instruments.


Sign in / Sign up

Export Citation Format

Share Document