Waiting for a stroke bed: Planning stroke unit capacity using queuing theory

2016 ◽  
Vol 9 (1) ◽  
pp. 4-10 ◽  
Author(s):  
John Boulton ◽  
Naveed Akhtar ◽  
Ashfaq Shuaib ◽  
Paula Bourke
Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Kimberly Smith ◽  
Arianne Navarro ◽  
Shanequa Sostand ◽  
Nicole Harrison ◽  
Sean Savitz

Background: At our comprehensive stroke center, the Stroke Unit bed ahead tool allows bed availability to be reported every four hours and identifies patients who may be available for discharge or transfer out of the unit. A Stroke Bed Ahead Algorithm is utilized and information is communicated using a paper format and an online text messaging system called EZ Texting. Purpose: The purpose of this study is to improve bed flow through coordination and facilitation of movement in the Stroke Unit and to provide quality control feedback of the efficiency of bed flow within the Stroke Unit. A bed ahead tool is utilized to decrease divert activity of the hospital and decrease length of stay on the Stroke Unit, thereby decreasing length of stay in the hospital. Intervention: The Stroke Unit charge and staff nurses evaluate patients appropriate for possible discharge or transfer out of the Stroke Unit. A Stroke Unit capacity text message is then sent out by the Charge Nurse or the Unit Coordinator every four hours starting at 0800. The capacity text message includes the total number of patients and patients pending to be received or transferred out of the unit. Results: Utilizing an integrated communication strategy decreased the length of stay of stroke population by 12%. Implications of Practice: Implementation of Stroke Unit capacity notification system decreases the length of stay and decreases divert activity of the hospital.


2007 ◽  
Author(s):  
Clara V. Marin ◽  
Colin G. Drury ◽  
Rajan Batta ◽  
Li Lin

2018 ◽  
Author(s):  
Dawn Opgenorth ◽  
Henry T. Stelfox ◽  
Elaine Gilfoyle ◽  
R. T. Noel Gibney ◽  
Michael Meier ◽  
...  

2006 ◽  
Vol 33 (S 1) ◽  
Author(s):  
U.M. Berschin ◽  
S. Kreisel ◽  
T. Bertsch ◽  
H.P. Hammes ◽  
H. Leweling ◽  
...  

2020 ◽  
Vol 0 (3) ◽  
pp. 7-14
Author(s):  
Y. V. Flomin ◽  
G. S. Trepet ◽  
V. G. Gurianov ◽  
L. I. Sokolova

2019 ◽  
Vol 15 ◽  
Author(s):  
Bekalu Getachew Gebreegziabher ◽  
Tesema Etefa Birhanu ◽  
Diriba Dereje Olana ◽  
Behailu Terefe Tesfaye

Background: Stroke is a great public health problem in Ethiopia. According to reports, in-hospital stroke mortality was estimated to be 14.7% in Ethiopia. Despite this, in this country researches done on factors associated with stroke sub-types were inadequate. Objective: To assess the Characteristics and risk factors associated with stroke sub-types among patients admitted to JUMC. Methods and materials: A retrospective cross sectional study was conducted from May 2017 to May 2018 in stroke unit of Jimma University Medical Center. A total of 106 medical charts of patients diagnosed with stroke were reviewed. Checklist comprising of relevant variables was used to collect data. SPSS version 21 was employed for data entry and analysis. Chi-square test was used to point-out association and difference among stroke sub-types. The data was presented using text, tables and figures. Result: From a total of 106 patients, 67(63.2%) were men. The mean ± SD of age was 52.67±12.46 years, and no significant association was found. Of all the patients, 59(55.6%) had ischemic strokes and 47(44.4%) had hemorrhagic strokes. The most common risk factor in the patients was alcohol use with a prevalence of 69.9%. Of all the risk factors, only sex, cigarettes smoking and dyslipidemia were significantly associated to sub-types of stroke. Conclusion: Ischemic stroke was the most common subtype of stroke. Sex of patient, cigarette smoking and dyslipidemia are significantly associated with the two stroke subtypes.


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