Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Other

If ‘other’, further details on the scope of the study

Methodological, to study treatment guideline implementation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(A10A) INSULINS AND ANALOGUES
INSULINS AND ANALOGUES
(A10B) BLOOD GLUCOSE LOWERING DRUGS, EXCL. INSULINS
BLOOD GLUCOSE LOWERING DRUGS, EXCL. INSULINS

Medical condition to be studied

Type 2 diabetes mellitus
Population studied

Short description of the study population

All patients who have a diagnosis for diabetes (ICD-10 code E10*, E11*, E13* or E14*, or ICPC-2 code T89 or T90), a written prescription for diabetic medication
(ATC code A10A* or A10B*), HbA1c value ≥ 6.5%, glucose tolerance test ≥ 11 mmol/L or nutrition counselling related to diabetes in the electronic patient information systems within the selected study sites, or patients who have purchased prescriptions for diabetic medication (ATC code A10A* or A10B*) or who have special reimbursement for diabetes (refund code 103) in the Social Insurance Institution (SII) registers during 2009-2012.

Age groups

  • 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

Type 2 diabetes mellitus patients

Estimated number of subjects

89000
Study design details

Main study objective

To evaluate whether the electronic patient information systems and national registers can be used to support evidence based decision making in health care. To evaluate how the key elements of the Current Care guideline for diabetes are realized in practice and to investigate which factors explain successful implementa of treatment recommendations.

Outcomes

- Diabetes medications and related measurements- Frequency of follow-up measurements - HbA1c and S-LDL- Follow-up measurements every 12 to 15 months - Follow-up measurements every 1-3 years- Treatment decisions (other than diabetes treatment) based on follow-up measurements, - Mortality- Health care resource use: visits, contacts and hospital/PHC inpatient admissions.- Amputations of the lower extremities- Absence from work- Severe hypoglycemic events

Data analysis plan

The baseline characteristics will be presented as number of cases and percentages separately for each study site and for all sites combined. Appropriate statistical tests will be applied to statistically quantify any between site differences. Baseline characteristics include:• Age• Gender• Smoking• BMI• Dietary habits• Physical exercise• Concomitant disease • Concomitant medication• Laboratory measurementsRealization of current care guidelines will be evaluated for each site separately and for all sites combined. Appropriate statistical tests will be applied to statistically quantify between site differences. A (multi) logistic regression model will be used to model the study end-points with respect to the baseline covariates and study sites. When possible a binomial endpoint will be used (i.e. never vs. ever start of metformin or under 1 month vs. over 1 month to start of metformin).