Identification of type 2 diabetes cases in a set of databases participating to the EMIF project

Study type

• Study topic:
  Disease /health condition

  Other
• Study topic, other:
  Disease/Epidemiology study
• Study type:
  Non-interventional study

Non-interventional study

• Scope of the study:
  Other
• If ‘other’, further details on the scope of the study:
  Proof of concept study to test a data derivation workflow designed to identify any event of interest from data sources with heterogeneous characteristics
• Data collection methods:
  Secondary data collection
• Non-interventional study design:
  Cross-sectional

Study drug and medical condition

• Medical condition to be studied:
  Type 2 diabetes mellitus

Population studied

• Short description of the study population:
  All active type 2 diabetes mellitus subjects in the participating databases at two distinct index dates: 1st January 2009 and 1st January 2012
• Age groups:
  Term newborn infants (0 – 27 days)

  Infants and toddlers (28 days – 23 months)

  Children (2 to < 12 years)

  Adolescents (12 to < 18 years)

  Adults (18 to < 46 years)

  Adults (46 to < 65 years)

  Adults (65 to < 75 years)

  Adults (75 to < 85 years)

  Adults (85 years and over)
• Special population of interest:
  Other
• Special population of interest, other:
  Diabetes mellitus patients
• Estimated number of subjects:
  12000000

Study design details

• Main study objective:
  - to establish a set of standard algorithms useful to identify of patients with type 2 diabetes (T2DM) across heterogeneous sources of health data- to describe the data source-tailored combinations of standard algorithms recommended by the relevant local data base experts- to assess the impact of in
• Data analysis plan:
  This is a descriptive, cross-sectional, retrospective multi-database study. The study population will include all active subjects in the participating databases at two distinct index dates: 1st January 2009 and 1st January 2012, respectively. Results from case-identification algorithms will be computed and presented as age band distribution of the percentage of the data base population identified. A validation of the records extracted in the databases will not be performed, since this is out of the scope of this study. Results will not be intended as disease frequency estimates.

Documents

Results tables

Poster_EMIF_ICPE_Boston_2016

Study publications

Roberto G, Leal I, Sattar N, Loomis AK, Avillach P, Egger P, Van Wijngaarden R,…