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Original Research

Identifying pediatric diabetes cases from health administrative data: a population-based validation study in Quebec, Canada

, , , , , , , , , , & show all
Pages 833-843 | Published online: 11 Sep 2019

Figures & data

Figure 1 Identification of the reference standard population for algorithm development.

Notes: *Prediabetes, transient diabetes, drug-induced diabetes. **For a given year, a resident of Montréal/Laval is a child who lived in Montreal or Laval during the 365 days of the year and had a valid health insurance card at least half of the year.
Figure 1 Identification of the reference standard population for algorithm development.

Table 1 Accuracy of different diabetes algorithms in a cohort of children and adolescents ages 1–15 years living in Montreal or Laval, 2002–2011 (stage 1)

Table 2 Validation of selected algorithms in a cohort of children and adolescents ages 1–17 years living in Quebec City or Sherbrooke, 2002–2011 (stage 2)

Table 3 Validation of selected case definitions in a cohort of children and adolescents ages 1–15 years living in Quebec City or Sherbrooke, 2002–2011 (stage 2)

Table 4 Diagnostic accuracy of selected algorithms by diabetes type in a cohort of children and adolescents ages 1–15 years living in Montreal or Laval, 2002–2011 (Types 1 and 2)

Table 5 Diagnostic accuracy of selected algorithms by age-group in a cohort of children and adolescents ages 1–15 years living in Montreal or Laval in 2011