OBJECTIVE: Gliomas occur in 3-4 individuals per 100,000 individuals and are one of the most common primary brain tumors. Treatment options are limited for gliomas despite the progressive nature of the disease. The authors used the Value Driven Outcomes (VDO) database to identify cost drivers and subgroups that are involved in the surgical treatment of gliomas. METHODS: A retrospective cohort of patients with gliomas treated at the authors' institution from August 2011 to February 2018 was evaluated using medical records and the VDO database. RESULTS: A total of 263 patients with intracranial gliomas met the authors' inclusion criteria and were included in the analysis (WHO grade I: 2.0%; grade II: 18.5%; grade III: 18.1%; and grade IV: 61.4%). Facility costs were the major (64.4%) cost driver followed by supplies (16.2%), pharmacy (10.1%), imaging (4.5%), and laboratory (4.7%). Univariate analysis of cost contributors demonstrated that American Society of Anesthesiologists physical status (p = 0.002), tumor recurrence (p = 0.06), Karnofsky Performance Scale score (p = 0.002), length of stay (LOS) (p = 0.0001), and maximal tumor size (p = 0.03) contributed significantly to the total costs. However, on multivariate analysis, only LOS (p = 0.0001) contributed significantly to total costs. More extensive tumor resection in WHO grade III and IV tumors was associated with significant improvement in survival (p = 0.004 and p = 0.02, respectively). CONCLUSIONS: Understanding care costs is challenging because of the highly complex, fragmented, and variable nature of healthcare delivery. Adopting effective strategies that would reduce facility costs and limit LOS is likely the most important aspect in reducing intracranial glioma treatment costs.
OBJECTIVE:Gliomas occur in 3-4 individuals per 100,000 individuals and are one of the most common primary brain tumors. Treatment options are limited for gliomas despite the progressive nature of the disease. The authors used the Value Driven Outcomes (VDO) database to identify cost drivers and subgroups that are involved in the surgical treatment of gliomas. METHODS: A retrospective cohort of patients with gliomas treated at the authors' institution from August 2011 to February 2018 was evaluated using medical records and the VDO database. RESULTS: A total of 263 patients with intracranial gliomas met the authors' inclusion criteria and were included in the analysis (WHO grade I: 2.0%; grade II: 18.5%; grade III: 18.1%; and grade IV: 61.4%). Facility costs were the major (64.4%) cost driver followed by supplies (16.2%), pharmacy (10.1%), imaging (4.5%), and laboratory (4.7%). Univariate analysis of cost contributors demonstrated that American Society of Anesthesiologists physical status (p = 0.002), tumor recurrence (p = 0.06), Karnofsky Performance Scale score (p = 0.002), length of stay (LOS) (p = 0.0001), and maximal tumor size (p = 0.03) contributed significantly to the total costs. However, on multivariate analysis, only LOS (p = 0.0001) contributed significantly to total costs. More extensive tumor resection in WHO grade III and IV tumors was associated with significant improvement in survival (p = 0.004 and p = 0.02, respectively). CONCLUSIONS: Understanding care costs is challenging because of the highly complex, fragmented, and variable nature of healthcare delivery. Adopting effective strategies that would reduce facility costs and limit LOS is likely the most important aspect in reducing intracranial glioma treatment costs.
Authors: Michelle P Debbink; Torri D Metz; Richard E Nelson; Sophie E Janes; Alexandra Kroes; Lori J Begaye; Cara C Heuser; Marcela C Smid; Robert M Silver; Michael W Varner; Brett D Einerson Journal: Am J Perinatol Date: 2021-12-02 Impact factor: 3.079
Authors: Brett D Einerson; Richard E Nelson; Grecio Sandoval; M Sean Esplin; D Ware Branch; Torri D Metz; Robert M Silver; William A Grobman; Uma M Reddy; Michael Varner Journal: Obstet Gynecol Date: 2020-07 Impact factor: 7.623