Cost-Effectiveness of Routine Type and Screens in Select Endonasal Skull Base Surgeries.
Aviv SpillingerMeredith AllenPatrick KarabonHoumehr HojjatKerolos ShenoudaInaya Hajj HusseinJeffrey T JacobPeter F SviderAdam J FolbePublished in: Journal of neurological surgery. Part B, Skull base (2021)
Objective The study aimed to evaluate the cost-effectiveness of obtaining preoperative type and screens (T/S) for common endonasal skull base procedures, and determine patient and hospital factors associated with receiving blood transfusions. Study Design Retrospective database analysis of the 2006 to 2015 National (nationwide) Inpatient Sample and cost-effectiveness analysis. Main Outcome Measures Multivariate regression analysis was used to identify factors associated with transfusions. A cost-effectiveness analysis was then performed to determine the incremental cost-effectiveness ratio (ICER) of obtaining preoperative T/S to prevent an emergency-release transfusion (ERT), with a willingness-to-pay threshold of $1,500. Results A total of 93,105 cases were identified with an overall transfusion rate of 1.89%. On multivariate modeling, statistically significant factors associated with transfusion included nonelective admission (odds ratio [OR]: 2.32; 95% confidence interval [CI]: 1.78-3.02), anemia (OR: 4.42; 95% CI: 3.35-5.83), coagulopathy (OR: 4.72; 95% CI: 2.94-7.57), diabetes (OR: 1.45; 95% CI: 1.14-1.84), liver disease (OR: 2.37; 95% CI: 1.27-4.43), pulmonary circulation disorders (OR: 3.28; 95% CI: 1.71-6.29), and metastatic cancer (OR: 5.85; 95% CI: 2.63-13.0; p < 0.01 for all). The ICER of preoperative T/S was $3,576 per ERT prevented. One-way sensitivity analysis demonstrated that the risk of transfusion should exceed 4.12% to justify preoperative T/S. Conclusion Routine preoperative T/S does not represent a cost-effective practice for these surgeries using nationally representative data. A selective T/S policy for high-risk patients may reduce costs.
Keyphrases
- healthcare
- patients undergoing
- emergency department
- cardiac surgery
- public health
- cardiovascular disease
- end stage renal disease
- high throughput
- palliative care
- squamous cell carcinoma
- chronic kidney disease
- machine learning
- clinical practice
- pulmonary hypertension
- newly diagnosed
- metabolic syndrome
- acute kidney injury
- young adults
- peritoneal dialysis
- electronic health record
- papillary thyroid
- data analysis
- quality improvement
- insulin resistance
- acute care
- single cell
- patient reported
- glycemic control