The Impact of a Diabetes Risk Prediction Model in Primary Care.

Diabetes risk scores are predictive models to estimate the probability for an individual to develop diabetes within a defined time period. In the last years, many diabetes risk prediction models were developed worldwide. It has been proposed that using diabetes risk scores as first step of diabetes screening is more practical than blood glucose tests as the latter are time consuming and costly. Given the rapid development of diabetes risk scores and a simultaneous reluctance of primary care physicians (PCPs) to implement diabetes risk scores in everyday practice, there is an urgent need to expand our knowledge of the impact of diabetes risk scores in the primary health care setting. Thus, the aim of the study is to investigate the impact of a non-invasive risk prediction model in the primary health care setting as component of routine health checks on change in physical activity.

Inclusion criteria

for participation of medical practitioners:

• general practitioners, medical practitioners and internists working as general practitioners with and without further training in diabetology according to German Diabetes Association standards
• provide the routine health check

Exclusion criteria

for participation of medical practitioners:

• treat exclusively patients with private insurance
• treat exclusively diabetes patients in a specialized medical practice

Inclusion criteria

for participation of participants

• appointment for the routine health check
• insured in statutory health insurance
• age > 35 years
• Body Mass Index (BMI) of ≥ 27 kg/m2

Exclusion criteria

for participation of participants

• type 1 or type 2 diabetes diagnosis or already abnormal blood glucose level (fasting glucose ≥ 126 mg/dl or 2 hours oral glucose tolerance test (oGTT) ≥ 200mg/dl or glycated hemoglobin (HbA1c) ≥6,5%) before the routine health check
• no sufficient German language skills to fill in the questionnaires
• presence of an incurable disease with a prognosis of less than one year
• severe mental illness or dementia
• severe underlying disease, which largely impairs physical activity
• pregnancy
• participation in another clinical study 30 days before study inclusion