Data and Measures in Health Services Research 2016
DOI: 10.1007/978-1-4899-7673-4_18-1
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Health Services Data: The Ontario Cancer Registry (a Unique, Linked, and Automated Population-Based Registry)

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Cited by 10 publications
(5 citation statements)
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“…Using the Ontario Cancer Registry, we identified an initial cohort of patients with differentiated thyroid cancer, using the International Agency for Research on Cancer multiple primary rules, 27 and linked to the other databases to determine exclusion criteria and examine diagnostic pathways. We included patients aged 15 to 84 years because there were fewer patients in the youngest and oldest age categories.…”
Section: Study Populationmentioning
confidence: 99%
“…Using the Ontario Cancer Registry, we identified an initial cohort of patients with differentiated thyroid cancer, using the International Agency for Research on Cancer multiple primary rules, 27 and linked to the other databases to determine exclusion criteria and examine diagnostic pathways. We included patients aged 15 to 84 years because there were fewer patients in the youngest and oldest age categories.…”
Section: Study Populationmentioning
confidence: 99%
“…Recently, novel methods have been developed to determine relapse using electronic health records, which could be adapted to determine cost differences between de novo and relapsed patient groups [31]. Lastly, although previous studies have demonstrated the accuracy and reliability of OCR, which captures around 95% of all cancer diagnoses in Ontario, using ICD codes from large administrative databases may introduce potential coding errors that could impact the accuracy of disease identification and categorization [32][33][34].…”
Section: Discussionmentioning
confidence: 99%
“…Patient groups were characterized in terms of socio‐demographic characteristics (sex, age, income quintile at the neighborhood level, and urban/rural residence), and clinical characteristics (i.e., chronic physical conditions, the latter of which were ascertained using validated ICES‐derived cohorts or disease registries) (Benchimol et al, 2014; Gershon et al, 2009a; Gershon et al, 2009b; Hux et al, 2002; Prodhan et al, 2016; Schultz et al, 2013; Tu et al, 2008; Widdifield et al, 2013) in 2019. We estimated total mean and median health care costs (and minimum and maximum costs) incurred by the third‐party public payer in the year of analysis by health service to understand the proportion of acute care among total costs.…”
Section: Methodsmentioning
confidence: 99%