Reducing delays to lung cancer treatment through systematic consult scheduling: A multidisciplinary quality improvement initiative at a safety-net hospital.

Abstract

e18640 Background: Delays in diagnosis and treatment have been identified as practice gaps in lung cancer management. At our large safety-net hospital, 2016-2018 data provided by the Commission on Cancer (CoC) indicated that 58-66% of lung cancer patients began treatment > 30 days after their diagnosis, compared to a median of 30 days for CoC-accredited hospitals. A quality improvement (QI) project was performed to identify causes for treatment delays, and to implement changes to reduce the median time from diagnosis to treatment to < 30 days. Methods: Root cause analysis was performed on a cohort of lung cancer patients identified and abstracted by the CoC Registry with diagnosis in October 2018-September 2019, to provide more recent data on treatment delays and to identify actionable interventions. Subsequently, a multidisciplinary QI initiative through Thoracic Surgery, Hematology Oncology, and Radiation Oncology was implemented using the Plan-Do-Study-Act (PDSA) tool. The initiative was tracked for 6 months starting in August 2020, with time from referral to consult and time from diagnosis to treatment calculated via chart review. Results: For the root cause analysis, 36 patients were identified. Eleven cases were excluded as they did not receive treatment at our institution. For the remaining 25 patients, the median time from referral to consult across all three oncology specialties was 13 days. The most common barriers to initiating treatment were appointment scheduling delays (37.5%), patient factors including synchronous malignancies or insurance, geographic or cultural barriers (31.3%), and multiple factors including appointment scheduling delays (25%). Median time from diagnosis to treatment was 31 days, with 36% (N = 9) starting treatment in < 30 days. While appointment scheduling delays included both work-up (imaging, procedures) and consults as well as follow-ups, multidisciplinary discussions identified time from referral to consult as the most actionable QI initiative. With support from Patient Navigation, the three oncology specialties jointly implemented a system whereby suspected or confirmed new lung cancer patients were scheduled for consult ideally in < 7 days, and no more than 14 days from the referral date. Of 28 new lung cancer patients who started treatment after the QI intervention, median time from referral to consult decreased to 7 days. Median time from diagnosis to treatment decreased to 26.5 days, with 53.6% (N = 15) of patients starting treatment in < 30 days. Conclusions: By decreasing time from referral to consult, this multidisciplinary QI intervention facilitated earlier initiation of treatment for lung cancer patients. Similar actions to decrease other scheduling delays and mitigate the impact of social determinants of health could further promote improvements in timely patient care.