The Impact of a Diabetes Risk Prediction Model in Primary Care.
NCT ID: NCT03234322
Last Updated: 2021-08-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
315 participants
INTERVENTIONAL
2017-09-13
2021-02-10
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
DOUBLE
Study Groups
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Intervention group
In the intervention group the routine health check is expanded by usage of a non-invasive diabetes risk score.
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.
Control group
In the control group the routine health check is conducted.
No interventions assigned to this group
Interventions
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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.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* provide the routine health check
* appointment for the routine health check
* insured in statutory health insurance
* age \> 35 years
* Body Mass Index (BMI) of ≥ 27 kg/m2
Exclusion Criteria
* treat exclusively diabetes patients in a specialized medical practice
* 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
35 Years
ALL
Yes
Sponsors
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Association of Statutory Health Insurance Physicians North Rhine
UNKNOWN
German Institute of Human Nutrition
OTHER
German Diabetes Center
OTHER
Responsible Party
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Wolfgang Rathmann
PD Dr. Wolfgang Rathmann MSPH (USA)
Principal Investigators
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Wolfgang Rathmann, Prof.
Role: PRINCIPAL_INVESTIGATOR
German Diabetes Center
Locations
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German Diabetes Center, Institute for Biometrics and Epidemiology
Düsseldorf, North Rhine-Westphalia, Germany
Countries
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References
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Dhippayom T, Chaiyakunapruk N, Krass I. How diabetes risk assessment tools are implemented in practice: a systematic review. Diabetes Res Clin Pract. 2014 Jun;104(3):329-42. doi: 10.1016/j.diabres.2014.01.008. Epub 2014 Jan 15.
Noble D, Mathur R, Dent T, Meads C, Greenhalgh T. Risk models and scores for type 2 diabetes: systematic review. BMJ. 2011 Nov 28;343:d7163. doi: 10.1136/bmj.d7163.
Godino JG, van Sluijs EM, Marteau TM, Sutton S, Sharp SJ, Griffin SJ. Lifestyle Advice Combined with Personalized Estimates of Genetic or Phenotypic Risk of Type 2 Diabetes, and Objectively Measured Physical Activity: A Randomized Controlled Trial. PLoS Med. 2016 Nov 29;13(11):e1002185. doi: 10.1371/journal.pmed.1002185. eCollection 2016 Nov.
Muller-Riemenschneider F, Holmberg C, Rieckmann N, Kliems H, Rufer V, Muller-Nordhorn J, Willich SN. Barriers to routine risk-score use for healthy primary care patients: survey and qualitative study. Arch Intern Med. 2010 Apr 26;170(8):719-24. doi: 10.1001/archinternmed.2010.66.
Seidel-Jacobs E, Kohl F, Tamayo M, Rosenbauer J, Schulze MB, Kuss O, Rathmann W. Impact of applying a diabetes risk score in primary care on change in physical activity: a pragmatic cluster randomised trial. Acta Diabetol. 2022 Aug;59(8):1031-1040. doi: 10.1007/s00592-022-01895-y. Epub 2022 May 13.
Jacobs E, Tamayo M, Rosenbauer J, Schulze MB, Kuss O, Rathmann W. Protocol of a cluster randomized trial to investigate the impact of a type 2 diabetes risk prediction model on change in physical activity in primary care. BMC Endocr Disord. 2018 Oct 16;18(1):72. doi: 10.1186/s12902-018-0299-2.
Other Identifiers
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DRT-Study
Identifier Type: -
Identifier Source: org_study_id
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