Introduction
Because early detection of cancer through routine screening is a crucial driver of improved cancer survival rates, it is imperative that all eligible patients receive timely screening, which is not currently happening systematically across Canada (Bryan et al.,
2018; Diaz-Tasende,
2018; Emery et al.,
2013). Minimizing delayed cancer diagnosis has proven critical as timely removal of neoplastic lesions significantly reduces treatment complexities for cancer patients and lessens the burden on primary care providers. While recent advances in cancer screening technologies such as omics- and serum-based testing for prostate cancer and fecal immunochemical testing for colorectal cancer have made cancer screening more accessible, not all screen-eligible individuals are being screened every year (Clarke & Feuerstein,
2019; Ladabaum et al.,
2020; Tan et al.,
2019; Tsujino et al.,
2021). Therefore, understanding the full range of performance from screening to diagnosis to treatment and ultimately mortality will be valuable to inform future decision-making in improving cancer management and care.
Disruptions to healthcare access may negatively impact early detection of cancers and lead to a surge of advanced cancer cases that could overwhelm the healthcare system and lead to poorer treatment outcomes (Sung et al.,
2021). A recent study showed that a 4-week delay in cancer treatment is associated with a 10% increase in mortality across surgical, systemic, and radiotherapy treatments (Hanna et al.,
2020a). In Canada, patients with prostate cancer have reported prolonged wait-times between diagnosis and treatment (Tran et al.,
2015). Similarly, an average wait-time of 86 days to endoscopy has been reported for colorectal cancer patients, considerably longer than the recommended guideline of 60 days (Janssen et al.,
2016). Nevertheless, reducing cancer diagnostic exam wait-times has been a recent focus of cancer care in Canada.
In March 2020, a nationwide postponement of non-urgent medical procedures and services was instituted to preserve healthcare resources for the coronavirus disease 2019 (COVID-19) pandemic. Mounting evidence has demonstrated significant decreases in the number of cancer screenings and diagnoses during the pandemic (Dee et al.,
2020; Fonseca et al.,
2021; Kaufman et al.,
2020). This observation of delays in cancer screening and therefore diagnosis could lead to a devastating surge of advanced cancer cases that would seriously compromise our healthcare systems. Similar restrictions have impacted the spectrum of cancer care globally (Hanna et al.,
2020b; Maringe et al.,
2020; Patt et al.,
2020; Richards et al.,
2020). Therefore, a comprehensive assessment of the Canadian prostate cancer and colorectal cancer landscapes is required to fully understand the impact of COVID-19 on the Canadian oncology environment, specifically for prostate and colorectal cancers.
Methods
Data source
We employed datasets from the Canadian Institute for Health Information (CIHI) (
https://www.cihi.ca/en) on prostate and colorectal cancer screening, diagnoses, treatment, and mortality events quarterly from April 2010 to March 2021, with breakdown by age group (< 40, 40–59, 60–79, 80 +) and province (with the exception of British Columbia and Quebec due to opt-outs). Specifically, CIHI’s Discharge Abstract Database (
https://www.cihi.ca/en/discharge-abstract-database-metadata-dad) and National Ambulatory Care Reporting System (
https://www.cihi.ca/en/national-ambulatory-care-reporting-system-metadata-nacrs) metadata captures ICA-10-CA- and CCI-based administrative, day surgery, and clinical information on hospital discharges directly from acute care facilities or their respective health authorities. In the current study, diagnosis and treatment data included data breakdown by stage of cancer (non-metastatic vs metastatic). Moreover, treatment data included overall data on treatment classes (imaging, surgery, radiotherapy, pharmacotherapy) along with specific treatment interventions performed. Additionally, key COVID-19 intervention data by federal, provincial and territorial governments (i.e. closures of non-essential businesses, postponement of non-essential health services, state of emergency announcements, and vaccine implementation milestones) were obtained from CIHI’s publicly available COVID-19 Intervention Timeline in Canada dataset (
https://www.cihi.ca/en/covid-19-intervention-timeline-in-canada). The current study was approved by the CIHI’s Decision Support Services and ZS Associates Research & Development Excellence Committee.
Study design and statistical rationale
A retrospective cohort study involving nine provinces in Canada was conducted. Specifically, aggregate, ICD code-based, semi-annual prostate and colorectal cancer patient journey datasets from 2010 to 2020 with breakdown by age group, disease stage, and province were obtained from CIHI whereby addition of all independent aggregate data (screening events, hospital admissions, treatment activities, patient expirations) or averaging of all independent aggregate data (median length of stay) was performed in half-year intervals. To understand the baseline screening, diagnosis, treatment activities, length of stay, and mortality among prostate and colorectal cancer patients prior to the COVID-19 pandemic, analysis was first carried out using data from April 2010 to March 2020. Subsequent inclusion of data from April 2020 to March 2021 in our analysis allowed the direct comparison of reported data pre- and during COVID-19. We also calculated 5-year averages from April 2010 to March 2015 and April 2015 to March 2020 as a baseline for pre-COVID-19 trend assessment and statistical analyses for each outcome. All descriptive statistical analyses were performed using R, version 4.2.0 (The R Foundation for Statistical Computing, Vienna) and data are reported and shown as mean ± SEM unless otherwise indicated. Specifically, two-tailed t tests were used to analyze normally distributed data for each mean comparison in our study. Furthermore, normality of the data distribution was tested using the Shapiro–Wilk’s test. A dataset with a p value > 0.05 from the Shapiro–Wilk’s normality test was considered to follow a normal distribution. In situations where the data is not normally distributed (a p value < 0.05 from the Shapiro–Wilk’s normality test), Mann–Whitney U test, a non-parametric test, was used for the mean comparison. Statistical comparison was considered significant at the p ≤ 0.05 significance level.
Data availability
Available aggregate hospital data for prostate and colorectal cancer screening, diagnosis, treatment activities, hospital length of stay, and mortality were obtained using the most responsible ICD codes from CIHI. Detailed specification of each ICA-10-CA/CCI code used in the current is presented in Supplemental Table 9. The median length of stay was calculated where at least one of the ICD-10-CA most responsible diagnosis codes listed above was identified for prostate and colorectal cancer. The number of patient expirations was reported where a most responsible diagnosis code listed above for prostate and colorectal cancer was identified at the time of expiration. The analysis did not include data where age was unknown nor data from out of hospital (private/clinic practices) and abandoned procedures. Lasty, to comply with CIHI’s data privacy and confidentiality policies, in instances in which there were fewer than five reported cases, the reported values were suppressed to avoid residual disclosure of the identity of individuals or health facilities.
Discussion
The COVID-19 pandemic has posed an unprecedented burden on our healthcare system and resulted in significant disruptions in cancer care in Canada. Accurately identifying and subsequently planning for the backlog of unperformed cancer screening and treatment activities during the pandemic is paramount to help restore timely diagnosis and treatment for cancer patients. In this study, we examined the impact of COVID-19 on hospital cancer screening, admissions, interventions, length of stay, and mortality among prostate and colorectal cancer patients. We identified the areas in cancer patient journey that were majorly impacted by COVID-19 and further demonstrated that an estimated 2–16% monthly capacity increase would be required to clear all unperformed cancer procedures in a timely fashion. These system disruptions have profound implications for cancer management and ongoing care. To minimize the ongoing impact of COVID-19 on cancer services and disease progression, a multipronged approach involving all stakeholders to 1. clear the backlogs of treatment procedures and screening events and 2. reorganize our cancer services to create a resilient system to future crises and disruptions is urgently needed.
On average, a 4–8-week suspension of all non-urgent medical procedures was implemented across regions in March 2020 in Canada. A further 4-week suspension order was implemented in MB, ON, NL in November 2020, April 2021, and February 2021, respectively. These waves of postponement and cancellation of all non-urgent medical procedures including cancer screening and diagnostic interventions directly contributed to delayed cancer detection in the future. Additionally, cancer patients have been shown to be more vulnerable to worse clinical outcomes when infected with COVID-19 (Liang et al.,
2020; Wu & McGoogan,
2020), further boosting patient’s reluctance to seek healthcare services out of fears of contracting COVID-19. Decreased physician referrals, shortages of staff and proper protective equipment during COVID-19 have also been shown to be a major contributing factor to decreased hospital admissions and cancer treatments (Mahase,
2020; Mayor,
2020; Wu et al.,
2020).
Interestingly, a higher demand for imaging-based interventions, radiotherapies, and pharmacotherapies was observed in our datasets, suggesting a shift in cancer treatment paradigm during COVID-19. These alternative treatment options have gained patient preference perhaps to delay surgeries while the healthcare system is overwhelmed with COVID-19 cases. One national study showed that 46% of oncologists indicated they have modified treatment plans for more than 25% of their cancer patients (Yong et al.,
2020). However, the clinical implications of these adaptations are poorly understood. Future systematic studies are warranted to investigate the magnitude of the risks associated with changes in cancer management including disruptions of usual care, delivering suboptimal care, and disruptions of clinical research etc. to minimize potential harms to cancer patients in a pandemic.
A recent simulation study has demonstrated that a 6-month screening interruption could lead to 2220 additional advanced colorectal cancer cases and an additional 960 cancer deaths in Canada (Yong et al.,
2020). Although the majority of the missed cancer diagnoses was observed in the first wave of the pandemic, as of February 2022, oncologists across the nation are still reporting more advanced than usual cancer cases that normally would have been diagnosed sooner (Eskander et al.,
2022; Schrag et al.,
2020; Walker et al.,
2021). More importantly, pandemic-related delays in cancer surgeries have been shown to be associated with 0.01 to 0.07 life-years lost per patient among cancer patients (Parmar et al.,
2022). There is no doubt that the backlogs of delayed surgeries and cancer cases will take a significant toll on our already strained healthcare system in the years to come (Hanna et al.,
2020a). In fact, the situation has been exacerbated by the loss of healthcare staff due to clinical burnout and high mental distress among primary care providers (Ting et al.,
2022; Zador et al.,
2022). In the short-term, embracing digital health developments such as telemedicine, remote monitoring, and virtual support programs for cancer patients have been proven effective in minimizing system level delays in cancer treatment as the pandemic evolves (Qian et al.,
2020; Turco et al.,
2022). Establishing designated diagnostic and treatment hubs will also be necessary for the unmet demand for cancer diagnosis and interventions. In the long-term, updating treatment guidelines for both physicians and patients will be critical to minimize health disparities at the age, gender, race, and regional level in cancer care as more advanced cancer cases show up in the coming years (Levit et al.,
2020; Ratnapradipa et al.,
2022).
The current study certainly has several limitations. First, our datasets only contain hospital data at the aggregate level and did not include data from private clinics and practices. We were also not able to obtain hospital data from BC and QC. However, recent studies have indicated that BC and QC experienced similar levels of system disruptions in cancer management (Agnihotram et al.,
2022; Malagón et al.,
2022). As a result, our results are likely conservative and represent an underestimation of the real numbers of screening events and hospital admissions. Second, our data grouping was limited by the half-year (April–September and October–March) data reporting structure, weekly or monthly data were not available. Additionally, hospital LOS was calculated for the entire visit of the patient for all diagnoses recorded during a hospitalization, therefore, LOS may not be associated with just one diagnosis. Nevertheless, our sample only included patients whose Most Responsible Diagnosis was either prostate or colorectal cancer. Lastly, it is important to acknowledge that the findings presented in this study is primarily observational in nature. As well, the waves of COVID-19 refer to significant surges of COVID-19 cases across Canada overall, however, differences in the timing and sizes may vary across different regions. Taken together, we believe that the current study will serve as an important baseline for future investigations aiming to examine the long-term effects of COVID-19 on cancer outcomes and extend these initial findings among prostate and colorectal cancer patients in Canada.
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