The Impact of a Diabetes Risk Prediction Model in Primary Care.
NCT03234322 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 315
Last updated 2021-08-10
Summary
Little evidence exists on the impact of diabetes risk scores, e.g. on physicians and patient's behavior, perceived risk of persons, shared-decision making and particularly on patient´s health. The aim of this study is to investigate the impact of a non-invasive diabetes risk prediction model in the primary health care setting as component of routine health checks on change in physical activity.
Conditions
- Type 2 Diabetes Mellitus
- Primary Prevention
Interventions
- OTHER
-
external validated risk prediction model
The risk prediction model will be integrated into a routine health check. The diabetes risk prediction model contains modifiable non-invasive risk factors and consists of eleven questions on age, height, waist circumference, hypertension, physical activity, smoking status, intake of whole-grain bread, intake of red meat, coffee consumption, and family history of diabetes (parents and siblings) to predict the five-year diabetes risk. The filled diabetes risk score will be used in the counseling interview with the PCP at the end of the health check as a practical guide to discuss individual tailored preventive strategies.
Sponsors & Collaborators
-
Association of Statutory Health Insurance Physicians North Rhine
collaborator UNKNOWN -
German Institute of Human Nutrition
collaborator OTHER -
German Diabetes Center
lead OTHER
Principal Investigators
-
Wolfgang Rathmann, Prof. · German Diabetes Center
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 35 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2017-09-13
- Primary Completion
- 2021-02-10
- Completion
- 2021-02-10
Countries
- Germany
Study Locations
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