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

Type 2 Diabetes Mellitus Clinical Trial

Official title:

A Cluster Randomized Trial to Investigate the Impact of a Type 2 Diabetes Risk Prediction Model on Change in Physical Activity Within Routine Health Checks in Primary Care.

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03234322
• Other study ID #: DRT-Study
• Status: Completed
• Phase: N/A
• Start date: September 13, 2017
• Est. completion date: February 10, 2021

Study information

• Verified date: August 2021
• Source: German Diabetes Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

Description:

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 315
• Est. completion date: February 10, 2021
• Est. primary completion date: February 10, 2021
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 35 Years and older

Eligibility

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

Related Conditions & MeSH terms

• Diabetes Mellitus
• Diabetes Mellitus, Type 2
• Primary Prevention
• Type 2 Diabetes Mellitus

Intervention

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.

Locations

Country	Name	City	State
Germany	German Diabetes Center, Institute for Biometrics and Epidemiology	Düsseldorf	North Rhine-Westphalia

Sponsors (3)

Lead Sponsor	Collaborator
German Diabetes Center	Association of Statutory Health Insurance Physicians North Rhine, German Institute of Human Nutrition

Country where clinical trial is conducted

Germany, 

References & Publications (4)

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. Review. — View Citation

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. — View Citation

Müller-Riemenschneider F, Holmberg C, Rieckmann N, Kliems H, Rufer V, Müller-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. — View Citation

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. Review. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	Change on participant's individual diabetes risk.	Self-reported outcome. Individual diabetes risk will be derived from the diabetes risk score in the intervention group at baseline, which is a validated questionnaire. In the follow-up questionnaires at 6 and 12 months, the questions of the diabetes risk score are included in the questionnaire of both groups.	at baseline, 6 and 12 months follow-up
Primary	Difference of participant's physical activity at twelve months after the routine health check between the groups.	Self-reported outcome, international validated questionnaire Physical Activity Questionnaire Short Last 7 Days Format (IPAQ-SF), which has been shown to be a reliable and valid tool to obtain comparable estimates of physical activity.	at baseline, 6 and 12 months follow-up
Secondary	Improvement in the counseling process assessed by PCPs.	Self-reported outcome, analyzed as difference in proportion of counseling regarding preventive strategies on balanced nutrition, body weight reduction, physical activity, and smoking secession between the groups. Questions are derived from a previous study.	at baseline and up to one year after the PCP entered the study
Secondary	Improvement in the counseling process assessed by participants.	Self-reported outcome, analyzed as difference in proportion of counseling regarding preventive strategies on balanced nutrition, body weight reduction, physical activity, and smoking secession between the groups. Questions are derived from a previous study.	at 6 months follow-up
Secondary	Improvement of shared decision making, assessed by participants.	Self-reported outcome, modified questionnaire to assess the difference in proportion of shared decision making for diabetes prevention opportunities between the groups.	at baseline
Secondary	Improvement of shared decision making, assessed by PCPs.	Self-reported outcome, modified questionnaire to assess the difference in proportion of shared decision making for diabetes prevention opportunities between the groups.	at baseline
Secondary	Improved motivation to change lifestyle, assessed by participants.	Self-reported outcome, questions are based on the stage of change model to assess the stage of motivation according to weight reduction, physical activity, healthy diet, smoking cessation and were derived from previous studies. We will assess the difference of motivation change between the groups.	at baseline, 6 and 12 months follow-up
Secondary	Change in Body-Mass-Index (BMI)	At baseline, weight and height is objectively measured by the PCP, in the follow-up weight will be self-reported. We will analyse group differences in change of BMI at 6 and 12 months follow-up.	at baseline, 6 and 12 months follow-up
Secondary	Change in participant's quality of life.	Self-reported outcome, question has been derived from previous studies. We will assess the change of quality of life between the groups.	at baseline, 6 and 12 months follow-up
Secondary	Change in participant's level of depression and anxiety.	Self-reported outcomes, depression and anxiety will be assessed with a validated questionnaire, the Hospital Anxiety and Depression Scale (HADS-D). We will assess the change of depression and anxiety between the groups.	at baseline, 6 and 12 months follow-up
Secondary	Change of participant's perceived risk of developing diabetes.	Self-reported outcome by participants, questions derived from previous studies. We will assess the change in perceived risk between the groups.	at baseline, 6 and 12 months follow-up
Secondary	Acceptance of PCPs according to the application of a diabetes risk score for routine use in clinical practice.	Self-reported outcome, differences between the groups will be analyzed. Questions are derived from previous studies.	at baseline, and up to one year after the PCP entered the study
Secondary	Acceptance of participants according to the application of a diabetes risk score for routine use in clinical practice.	Self-reported outcome, questions derived from previous studies.	at 6 months follow-up