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Improved Cost-Effectiveness and Blood Product Utilization From Instituting a Blood Ordering Algorithm for Cardiac
Kelly Ural1, Jay Trusheim1, Yamah Amiri2
11 Ochsner Health System, New Orleans, LA, USA.
Insights
A new blood ordering algorithm significantly reduced unnecessary blood crossmatching in cardiac surgery patients. This improved the crossmatch-to-transfusion ratio and resulted in substantial cost savings.
Area of Science:
- Transfusion Medicine
- Cardiac Surgery
- Healthcare Management
Background:
- Previous study identified over-ordering of blood products for cardiac surgery.
- A novel blood ordering algorithm was developed to address this issue.
- This study evaluates the algorithm's impact on ordering practices.
Purpose of the Study:
- To assess the effectiveness of a new blood ordering algorithm.
- To evaluate improvements in blood product ordering practices post-algorithm implementation.
- To determine cost savings associated with optimized blood ordering.
Main Methods:
- Retrospective data analysis of 171 patients undergoing cardiac surgery (coronary artery bypass grafting or valve surgery).
- Data collected from March 2015 to March 2016.
- Calculation of crossmatch-to-transfusion ratio (C:tx) and cost savings; comparison with pre-algorithm data.
Main Results:
- Pre-algorithm: 100% of patients crossmatched; Post-algorithm: 15% crossmatched.
- Overall C:tx decreased from 7.97 to 2.14.
- Calculated cost savings of $114.79 per CABG patient and $129.05 per valve surgery patient.
Conclusions:
- The new algorithm significantly improved the C:tx.
- Implementation of the algorithm reduced unnecessary blood crossmatching.
- The algorithm led to a reduction in healthcare costs for cardiac surgery.
Background:
Results of a previous study revealed an over-ordering of blood products for cardiac surgery and led to the creation of a new blood ordering algorithm. This follow-up study has been conducted to evaluate improvement in ordering practices.
Methods:
Retrospective data were collected for 171 patients who underwent coronary artery bypass grafting or valve surgery from March 2015 to March 2016 to determine the crossmatch-to-transfusion ratio (C:tx) and potential cost savings. Results were compared with pre-algorithm values and considered statistically significant if the 95% confidence interval did not include zero.
Results:
Prior to the algorithm, 100% of patients undergoing cardiac surgery were crossmatched. After instituting the algorithm, this decreased to 15%. The overall C:tx decreased from 7.97 to 2.14. Cost savings were calculated as $114.79 (coronary artery bypass grafting) and $129.05 (valve surgery) per patient.
Conclusions:
The creation of a new algorithm to guide ordering practices has significantly improved the C:tx, reduced unnecessary crossmatching, and lowered costs.
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