Optimizing red blood cell transfusion practices in the intensive care unit: a multi-phased health technology reassessment

Author(s):  
Lesley J.J. Soril ◽  
Tom W. Noseworthy ◽  
Derek R. Townsend ◽  
Sean M. Bagshaw ◽  
Henry T. Stelfox ◽  
...  

Abstract Background Health technology reassessment (HTR) is a process to manage existing health technologies to ensure ongoing optimal use. A model to guide HTR was developed; however, there is limited practical experience. This paper addresses this knowledge gap through the completion of a multi-phase HTR of red blood cell (RBC) transfusion practices in the intensive care unit (ICU). Objective The HTR consisted of three phases and here we report on the final phase: the development, implementation, and evaluation of behavior change interventions aimed at addressing inappropriate RBC transfusions in an ICU. Methods The interventions, comprised of group education and audit and feedback, were co-designed and implemented with clinical leaders. The intervention was evaluated through a controlled before-and-after pilot feasibility study. The primary outcome was the proportion of potentially inappropriate RBC transfusions (i.e., with a pre-transfusion hemoglobin of 70 g/L or more). Results There was marked variability in the monthly proportion of potentially inappropriate RBC transfusions. Relative to the pre-intervention phase, there was no significant difference in the proportion of potentially inappropriate RBC transfusions post-intervention. Lessons from this work include the importance of early and meaningful engagement of clinical leaders; tailoring the intervention modalities; and, efficient access to data through an electronic clinical information system. Conclusions It was feasible to design, implement, and evaluate a tailored, multi-modal behavior change intervention in this small-scale pilot study. However, early evaluation of the intervention revealed no change in technology use leading to reflection on the important question of how the HTR model needs to be improved.

Critical Care ◽  
2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Geoffroy Hariri ◽  
Simon Bourcier ◽  
Zora Marjanovic ◽  
Jérémie Joffre ◽  
Jérémie Lemarié ◽  
...  

2018 ◽  
Vol 55 ◽  
pp. 15-20 ◽  
Author(s):  
Tiago Antonio Tonietto ◽  
Marcio Manozzo Boniatti ◽  
Thiago Costa Lisboa ◽  
Marina Verçoza Viana ◽  
Moreno Calcagnotto dos Santos ◽  
...  

2020 ◽  
Vol 7 (12) ◽  
pp. 2347
Author(s):  
Sudha Rudrappa ◽  
Meghana Narasimhegowda ◽  
Girish Gopal

Background: Red blood cell distribution width (RDW) is a simple, low cost measure, which is routinely reported as a standard component of complete hemogram. Several recent studies have found a positive association between RDW and risk of both morbidity and mortality in several diseases, particularly in critically ill adults.But, data regarding the outcome predictive utility of RDW in critically ill paediatric population is limited. The objective of the study was to determine the association between RDW and mortality and morbidity in paediatric critical illness.Methods: A cross sectional observational study was conducted from February 2019-May 2019 at Cheluvamba Hospital, Mysuru. 97 subjects admitted to Paediatric intensive care unit (PICU) were included in the study. Data regarding subject demographics, hospitalization characteristics, laboratory values and outcomes were collected.Results: A significant positive correlation was found between mortality among critically ill children and RDW measured within 24 hours of PICU admission (p=0.01) and peak RDW during the first 7 days of PICU stay (p=0.01). The relative change in RDW correlated significantly (p=0.01) with the number of intensive care unit (ICU) free days. Our subjects were divided into quartiles based on the admission RDW, subjects in the fourth quartile were found to have the highest mean Paediatric risk of mortality (PRISM III) score, Paediatric index of mortality (PIM 2) score and the least number of ICU free days. Area under the receiver operator curve (AUROC) for incidence of death was 0.706 for admission RDW,0.71 for peak RDW and 0.882 for PIM 2 score.Conclusions: Our data demonstrates that RDW at the time of PICU admission could serve as a cost-effective marker for early identification of critically ill paediatric population who are at risk for adverse outcomes.


Transfusion ◽  
2019 ◽  
Vol 60 (2) ◽  
pp. 256-261 ◽  
Author(s):  
Nicholas L. Jackson Chornenki ◽  
Tyler E. James ◽  
Rebecca Barty ◽  
Yang Liu ◽  
Bram Rochwerg ◽  
...  

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