Abstract

BACKGROUND: O6-methylguanine methyltransferase (MGMT) methylation status is prognostic in glioblastoma. It is a critical datum in optimizing care in elderly glioblastoma patients. Further, MGMT methylation status is increasingly required for clinical trial enrollment (e.g. NCT02336165, NCT02287428). As such, maximizing efficiency of molecular tumor testing is critical in order to provide the best care for glioblastoma patients. METHODS: Using the longitudinal electronic medical record and pathology sample tracking systems, we determined the turn around time (TAT) from tumor resection to MGMT methylation status reporting, along with various intermediate steps along the way. We performed interdepartmental process mapping to identify opportunities for process change, followed by 2 process interventions with follow-up tracking of TAT with statistical process control testing. RESULTS: The baseline average interval from craniotomy to MGMT methylation result was 25.1 days for the 30 weeks prior to intervention, which included ∼5 days from craniotomy to pathological diagnosis, and ∼18 days from pathological diagnosis to MGMT result. Two tests of change were implemented, including a switch from batched to daily DNA extraction and MGMT methylation testing, and implementation of a new procedure for pathology sample inventory within the molecular pathology laboratory. The median time from craniotomy to MGMT methylation status reporting was reduced to from 25.1 days to 17 days after the first intervention, and to 15 days after the second intervention, with significant TAT reduction. CONCLUSIONS: Through clinical process improvement strategies and interdepartmental collaboration, we significantly reduced the TAT from craniotomy to MGMT methylation status reporting by an average of 10 days (40%). This allows for improved patient care by accelerating the delivery of potentially treatment-altering information as well as supplying earlier eligibility information for clinical trial enrollment. We continue to study additional opportunities for intervention, as this work highlights the possibility for neuro-oncology care improvement through process improvement strategies.

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