Quality initiative (QI) to improve molecular testing in newly diagnosed (ND) stage 4 non-small cell lung cancer (NSCLC-4): An Integra Connect (IC) database study.

Abstract

e13507 Background: In August 2019 IC partnered with University of Pittsburg Medical Center (UPMC) on a QI aimed at improving outcomes in stages 3 and 4 NSCLC. This report details the findings, interventions, and results in the stage 4 cohort to date. Guidelines advocate broad molecular profiling and completion of biomarker testing prior to initiation of initial therapy (KF Mileham,2022). However, real world data has shown a high rate of treatment initiation without biomarker testing due to low rate of testing and, if tested, treatment prior to results reporting (H West,2021; J Nicholas, 2021) in this disease state having a 5-year survival of only 7% (N Howlander). Based on analysis of the US Oncology Network it was found that only 46% of patients (pts) with metastatic NSCLC received testing for PD-L1, EGFR, ALK, ROS1, and BRAF-V600E (J Nicholas, 2021). Methods: By querying the UPMC and IC databases, 847 patients (pts) with ND NSCLC-4 were identified who received an initial line of therapy, excluding squamous carcinoma pts unless documented never-smokers, during 1/1/2017- 12/31/2021. Date of EGFR test ordered, date of test result report to electronic health record, and date of treatment initiation were captured. Also included were test orders for the NCCN recommended biomarker panel of PD-L1, ALK, ROS1, BRAF, RET, MET, and NTRK. The data were evaluated in three time periods for the QI: Phase 1 of 1339 days (1/1/2017-8/31/2020) for baseline, Phase 2 of 122 days (9/1/2020-12/31/20) post physician leadership intervention, and Phase 3 of 272 days (1/1/2021-9/30/2021) performance measurement period. Baseline and on-going measurement of testing metrics was performed with physician leadership intervention for identified gaps in care. Additionally, surveys were implemented to assess caregiver perceptions. The use of chart curation and software-based monitoring tools powered by IC enabled providers to understand current levels of testing and track performance over time. Results: Median age was 68 (range 36 - 89) and 49% male. As shown in Data Table, EGFR testing at baseline was 94% and increased to 96%. Testing of the entire biomarker panel noted above increased from 52% baseline to 76% at this point in Phase 3. While only 72% had treatment initiated after EGFR result at baseline, this improved to 88% during Phase 3. Conclusions: This QI led to improvement in rates of broad biomarker testing and initiation of treatment only after results were made available in this NSCLC-4 population. While this initiative was not designed to evaluate outcomes, one would expect outcome improvement over baseline with higher guideline adherence.[Table: see text]