Impact of the COVID-19 Pandemic on a Cancer Fast-Track Programme.

INTRODUCTION: The COVID-19 pandemic has disrupted many aspects of clinical practice in oncology, particularly regarding early cancer diagnosis, sparking public health concerns that possible delays could increase the proportion of patients diagnosed at advanced stages. In 2009, a cancer fast-track program (CFP) was implemented at the Clinico-Malvarrosa Health Department in Valencia, Spain with the aim of shortening waiting times between suspected cancer symptoms, diagnosis and therapy initiation. OBJECTIVES: The study aimed to explore the effects of the COVID-19 pandemic on our cancer diagnosis fast-track program. METHODS: The program workflow (patients included and time periods) was analysed from the beginning of the state of alarm on March 16th, 2020 until March 15th, 2021. Data was compared with data from the same period of time from the year before (2019). RESULTS: During the pandemic year, 975 suspected cancer cases were submitted to the CFP. The number of submissions only decreased during times of highest COVID-19 incidence and stricter lockdown, and overall, referrals were slightly higher than in the previous 2 years. Cancer diagnosis was confirmed in 197 (24.1%) cases, among which 33% were urological, 23% breast, 16% gastrointestinal and 9% lung cancer. The median time from referral to specialist appointment was 13 days and diagnosis was reached at a median of 18 days. In confirmed cancer cases, treatment was started at around 30 days from time of diagnosis. In total, 61% of cancer disease was detected at early stage, 20% at locally advanced stage, and 19% at advanced stage, displaying time frames and case proportions similar to pre-pandemic years. CONCLUSIONS: Our program has been able to maintain normal flow and efficacy despite the challenges of the current pandemic, and has proven a reliable tool to help primary care physicians referring suspected cancer patients.

Impact of the COVID-19 pandemic in the cancer fast-track programme

Background: The COVID-19 pandemic has disrupted many aspects of clinical practice in oncology, particularly in making timely cancer diagnosis. Our public health system has been concerned about potential delays leading to a higher proportion of patients with advanced stages. Our cancer diagnosis fast-track program (CFP) in the Clinic-Malvarrosa Health department in Valencia (Spain) is connecting primary care (PC) with different specialists to speed cancer diagnosis and treatment upon well founded suspicion. A 10-year evaluation of our CFP has recently been published. The aim of this analysis was to investigate the impact of the COVID-19 pandemic on the CFP. Methods: We analysed the programme flow during the state of emergency starting on March 16, 2020 for one year. Results: During that year, 975 suspected cancer cases were submitted to the CFP. The submissions only decreased during the times of highest COVID-19 incidence and stricter lockdown (March, April and October 2020). However, referrals were slightly higher than in the two previous years (average 877). Of those 975 patients, 817 were seen by the corresponding specialist. A cancer diagnosis was confirmed in 197 (24.1%) with 33% urological, 23% breast, 16% gastrointestinal and 9% lung cancer. Median time from referral to the specialist visit was 13 (interquartile range, 8 to 22 days) days and a diagnosis was reached in a median of 18 days (interquartile range, 10 to 30 days). In cancer patients, treatment was started in around 30 days (interquartile range, 13.5 to 51 days) from the time of diagnosis. Sixty-one percent of cancers were found in an early stage, 20% in a locally advanced stage, and 19% in an advanced stage. These intervals and proportions were similar to the previous years. Conclusions: Our programme has proven to be a reliable tool to help PC physicians referring patients with cancer suspicion cancer, maintaining its normal flow and efficacy despite the current pandemic. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.