Table 1:
Summary characteristics of the 24 data sources, by country or jurisdiction
| Origin of data | Type of data | Years analysed for incidence | Age range (years) | Person-years (1000s) | Number of incident diabetes cases | Diabetes definition | Diabetes type | |
|---|---|---|---|---|---|---|---|---|
| Australia | National Diabetes Services Scheme | Registry | 2002–15 | 0–89 | 286 819 | 859 604 | Clinical diagnosis | Type 2 diabetes |
| Canada | Canadian Chronic Disease Surveillance System* | Administrative | 2000–15 | ≥1 | 489 132 | 3 035 440 | Algorithm | All diabetes |
| Denmark | National Patient Register, prescription database, health insurance database, diabetes quality database, and eye screening database | Registry | 1996–2016 | ≥0 | 111 005 | 351 127 | Algorithm | Type 2 diabetes |
| France | National Health Data System | Administrative | 2012–17 | ≥0 | 368 629 | 1 508 809 | Antidiabetes medications | All diabetes |
| Hong Kong | Hong Kong Hospital Authority | Administrative | 2005–16 | ≥0 | 79 742 | 497 636 | Algorithm | All diabetes |
| Hungary | National Institute of Health Insurance Fund Management database | Administrative | 2009–16 | ≥0 | 73 425 | 295 532 | Antidiabetes medications | Type 2 diabetes |
| Israel | Clalit Health Services | Health insurance | 2004–16 | ≥0 | 51 296 | 357 225 | Algorithm | All diabetes |
| Israel | Maccabi Healthcare Services | Health insurance | 2001–15 | ≥0 | 25 548 | 114 173 | Algorithm | Type 2 diabetes |
| Lombardy, Italy | Administrative health databases | Administrative | 2002–12 | ≥0 | 97 951 | 618 891 | Algorithm | All diabetes |
| Latvia | Latvian Diabetes Registry | Registry | 1999–2016 | ≥0 | 38 252 | 120 753 | Clinical diagnosis (ICD-10) | Type 2 diabetes |
| Lithuania | National Compulsory Health Insurance Fund Information System | Administrative | 2003–16 | ≥0 | 42 479 | 108 279 | Clinical diagnosis (ICD-10) | All diabetes |
| Netherlands | NIVEL Primary Care Database | Administrative | 2011–16 | ≥0 | 7306 | 32 484 | Clinical diagnosis (ICPC-1) | All diabetes |
| Norway | Norwegian Patient Registry, Primary Care Database and Norwegian Prescription Database | Administrative | 2009–14 | ≥0 | 29 971 | 97 325 | Clinical diagnosis (ICD-10, ICPC-2) | Type 2 diabetes |
| Russia | National Diabetes Register of the Russian Federation | Registry | 2000–18 | ≥0 | 2 737 313 | 4 841 628 | Algorithm | Type 2 diabetes |
| Scotland, UK | SCI-Diabetes database | Registry | 2004–15 | ≥0 | 60 120 | 214 548 | Clinical diagnosis (Read codes) | Type 2 diabetes |
| Singapore | National administrative data (Ministry of Health of Singapore) | Administrative | 2012–16 | ≥0 | 17 978 | 126 365 | Clinical diagnosis (ICD-10) | All diabetes |
| South Korea | National Health Insurance Service–National Sample Cohort | Health insurance | 2006–15 | ≥0 | 9206 | 50 515 | Antidiabetes medications | All diabetes |
| Spain | Information System for the Development of Research in Primary Care | Administrative | 2007–16 | ≥0 | 53 326 | 250 987 | Clinical diagnosis (ICD-10) | Type 2 diabetes |
| Taiwan | National Health Insurance Research Database (LHID 2000) | Health insurance | 2002–11 | ≥0 | 8845 | 58 333 | Algorithm | Type 2 diabetes |
| UK | THIN database | Administrative | 2000–13 | ≥0 | 113 856 | 205 498 | Clinical diagnosis (physician) | Type 2 diabetes |
| Ukraine | System of Diabetes Mellitus Care in Ukraine (Volyn Oblast) | Registry | 2005–10 | ≥0 | 6057 | 10 503 | Clinical diagnosis (physician) | Type 2 diabetes |
| USA | KPNW (integrated managed care consortium) | Health insurance | 1995–2016 | ≥0 | 9479 | 54 070 | Algorithm | Type 2 diabetes |
| USA | Medicare (claims data for beneficiaries) | Administrative | 2001–15 | ≥68 | 230 852 | 8 206 913 | Algorithm | All diabetes |
| USA | NHIS | Survey | 1995–2015 | 20–84 | 534 | 5672 | Self-report | All diabetes |
ICD-10=International Classification of Diseases, version 10. ICPC-1=International Classification of Primary Care, first version. ICPC-2=International Classification of Primary Care, second version. KPNW=Kaiser Permanente Northwest. LHID 2000=Longitudinal Health Insurance Database, randomly sampled from the registered beneficiaries in the year 2000. NHIS=National Health Interview Survey. NIVEL=Netherlands Institute for Health Services Research. SCI=Scottish Care Information. THIN=The Health Improvement Network. *This Canadian data source excluded data from Yukon Territory and Saskatchewan. Furthermore, data from Nova Scotia excluded people aged 1–19 years.