Effect of emergency critical care nurses and emergency department boarding time on in-hospital mortality in critically ill patients

2021 ◽  
Vol 41 ◽  
pp. 120-124
Author(s):  
Jason Nesbitt ◽  
Tsuyoshi Mitarai ◽  
Garrett K. Chan ◽  
Jennifer G. Wilson ◽  
Kian Niknam ◽  
...  
1990 ◽  
Vol 5 (2) ◽  
pp. 119-129 ◽  
Author(s):  
Michael S. Jastremski ◽  
Ronald J. Lagoe

AbstractThis study describes a series of mechanisms to alleviate overcrowding of hospital emergency departments by distributing critically ill patients among facilities with available resources. The initial mechanism, which was based on the availability of critical care beds, was used successfully between 1982 and 1986, but had to be abandoned when several new factors caused the availability of emergency department resources to become the limiting factor. A second approach, based on the availability of critical care and emergency department resources, produced limited success over a one-year period. The system currently in use, implemented in 1989, includes a distribution system based on the availability of emergency department resources and critical care beds, as well as a mechanism for diversion of ambulances to hospitals in neighboring counties at times of extremely high utilization. This experience demonstrates that mechanisms for planning the distribution of emergency and critically ill patients have universal applicability.


2021 ◽  
Vol 25 (11) ◽  
pp. 1221-1225
Author(s):  
Ankur Verma ◽  
Amit Vishen ◽  
Meghna Haldar ◽  
Sanjay Jaiswal ◽  
Rinkey Ahuja ◽  
...  

QJM ◽  
2020 ◽  
Author(s):  
S Lin ◽  
S Ge ◽  
W He ◽  
M Zeng

Summary Background Previous studies have shown the association of waiting time in the emergency department with the prognosis of critically ill patients, but these studies linking the waiting time to clinical outcomes have been inconsistent and limited by small sample size. Aim To determine the relationship between the waiting time in the emergency department and the clinical outcomes for critically ill patients in a large sample population. Design A retrospective cohort study of 13 634 patients. Methods We used the Medical Information Mart for Intensive Care III database. Multivariable logistic regression was used to determine the independent relationships of the in-hospital mortality rate with the delayed time and different groups. Interaction and stratified analysis were conducted to test whether the effect of delayed time differed across various subgroups. Results After adjustments, the in-hospital mortality in the ≥6 h group increased by 38.1% (OR 1.381, 95% CI 1.221–1.562). Moreover, each delayed hour was associated independently with a 1.0% increase in the risk of in-hospital mortality (OR 1.010, 95% CI 1.008–1.010). In the stratified analysis, intensive care unit (ICU) types, length of hospital stay, length of ICU stay, simplified acute physiology score II and diagnostic category were found to have interactions with ≥6 h group in in-hospital mortality. Conclusions In this large retrospective cohort study, every delayed hour was associated with an increase in mortality. Furthermore, clinicians should be cautious of patients diagnosed with sepsis, liver/renal/metabolic diseases, internal hemorrhage and cardiovascular disease, and if conditions permit, they should give priority to transferring to the corresponding ICUs.


2021 ◽  
Vol 33 (4) ◽  
pp. 236-241
Author(s):  
Rodwell Gundo ◽  
Beatrice Gundo ◽  
Ellen Chirwa ◽  
Annette Dickinson ◽  
Gael Janine Mearns

BackgroundCritical care specialty deals with the complex needs of critically ill patients. Nurses who provide critical care are expected to possess the appropriate knowledge and skills required for the care of critically ill patients. The aim of this study was to assess the effect of an educational programme on the competence of critical care nurses at two tertiary hospitals in Lilongwe and Blantyre, Malawi.MethodsA quantitative pre- and post-test design was applied. The training programme was delivered to nurses (n = 41) who worked in intensive care and adult high dependency units at two tertiary hospitals. The effect of the training was assessed through participants’ self-assessment of competence on the Intensive and Critical Care Nursing Competence Scale and a list of 10 additional competencies before and after the training.ResultsThe participants’ scores on the Intensive and Critical Care Nursing Competence Scale before the training, M = 608.2, SD = 59.6 increased significantly after the training, M = 684.7, SD = 29.7, p <.0001 (two-tailed). Similarly, there was a significant increase in the participants’ scores on the additional competencies after the training, p <.0001 (two-tailed). ConclusionThe programme could be used for upskilling nurses in critical care settings in Malawi and other developing countries with a similar context.


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