Abstract
BackgroundCertain cancer case ascertainment methods used in Quebec and elsewhere are known to underestimate the burden of cancer, particularly for some subgroups. Algorithms using claims data are a low-cost option to improve the quality of cancer surveillance, but have not frequently been implemented at the population-level. Our objectives were to 1) develop a colorectal cancer (CRC) case ascertainment algorithm using population-level hospitalization and physician billing data, 2) validate the algorithm, and 3) describe the characteristics of cases.MethodsWe linked physician billing, hospitalization, and tumor registry data for 2,013,430 Montreal residents age 20+ (2000–2010). We compared the performance of three algorithms based on diagnosis and treatment codes from different data sources. We described identified cases according to age, sex, socioeconomic status, treatment patterns, site distribution, and time trends. All statistical tests were two-sided.ResultsOur algorithm based on diagnosis and treatment codes identified 11,476 of the 12,933 incident CRC cases contained in the tumor registry as well as 2317 newly-captured cases. Our cases share similar overall time trends and site distributions to existing data, which increases our confidence in the algorithm. Our algorithm captured proportionally 35% more individuals age 50 and younger among CRC cases: 8.2% vs. 5.3%. The newly captured cases were also more likely to be living in socioeconomically advantaged areas.ConclusionsOur algorithm provides a more complete picture of population-wide CRC incidence than existing case ascertainment methods. It could be used to estimate long-term incidence trends, aid in timely surveillance, and to inform interventions, in both Quebec and other jurisdictions.
Highlights
Certain cancer case ascertainment methods used in Quebec and elsewhere are known to underestimate the burden of cancer, for some subgroups
Statistical analyses We considered the cases identified in the Fichier des tumeurs du Québec (FiTQ) as our reference point, and classified cases as concordant or newly captured cases
Between 2000 and 2010, 12,933 incident cases of colorectal cancer were captured by the FiTQ (Table 1)
Summary
Certain cancer case ascertainment methods used in Quebec and elsewhere are known to underestimate the burden of cancer, for some subgroups. Our objectives were to 1) develop a colorectal cancer (CRC) case ascertainment algorithm using population-level hospitalization and physician billing data, 2) validate the algorithm, and 3) describe the characteristics of cases. Cancer cases were ascertained using principally diagnostic codes from hospitalization data, with some additional cases ascertained from death certificates and information provided by other jurisdictions if a Quebec resident was treated outside of the province [6]. These data are known to underestimate the burden of cancer, especially among sub-groups who may receive treatment without being admitted to a hospital, such as those with early, less invasive disease [6].
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