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Clinical Trial
. 2019 Aug 13;19(1):1092.
doi: 10.1186/s12889-019-7419-4.

Step-wise approach to prevention of chronic diseases in the Danish primary care sector with the use of a personal digital health profile and targeted follow-up - an assessment of attendance

Affiliations
Clinical Trial

Step-wise approach to prevention of chronic diseases in the Danish primary care sector with the use of a personal digital health profile and targeted follow-up - an assessment of attendance

Lars Bruun Larsen et al. BMC Public Health. .

Abstract

Background: Current evidence on chronic disease prevention suggests that interventions targeted at high-risk individuals represents the best way forward. We implemented a step-wise approach in the Danish primary care sector, designed for the systematic and targeted prevention of chronic disease. The intervention centered on a personal digital health profile for all participants, followed by targeted preventive programs for high-risk patients. The present paper examines individual characteristics and health-care usage of patients who took up the targeted preventive programs in response to their personal digital health profile.

Methods: A sample of patients born between 1957 and 1986 was randomly selected from the patient-list system of participating general practitioners in two Danish municipalities. The selected patients received a digital invitation to participate. Consenting patients received a second digital invitation for a personal digital health profile based on questionnaire and electronic patient record data. The personal digital health profile contained individualized information on risk profile and personalized recommendations on further actions. If at-risk or presenting with health-risk behaviour a patient would be advised to contact either their general practitioner or municipal health centre for targeted preventive programs. Attendance at the targeted preventive programs was examined using Poisson regression and chi-squared automatic interaction detection methods.

Results: A total of 9400 patients were invited. Of those who participated (30%), 22% were advised to get a health check at their general practitioner. Of these, 19% did so. Another 23% were advised to schedule an appointment for behaviour-change counselling at their municipal health centre. A total of 21% took the advice. Patients who had fair or poor self-rated health, a body mass index above 30, low self-efficacy, were female, non-smokers, or lead a sedentary lifestyle, were most likely to attend the targeted preventive programs.

Conclusions: A personal digital health profile shows some promise in a step-wise approach to prevention in the Danish primary care sector and seems to motivate people with low self-efficacy to attend targeted preventive programs.

Trial registration: Registered at Clinical Trial Gov (Unique Protocol ID: TOFpilot2016 ). Prospectively registered on the 29th of April 2016.

Keywords: Health promotion; Indicated prevention; Integrated prevention.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Flow diagram of recruitment, stratification and attendance at the GP-based health check and the initial telephone-based counselling with the MHC
Fig. 2
Fig. 2
Decision tree analysis of predictors of attendance or non-attendance at the GP-based health check and the initial telephone-based counselling with the MHC

References

    1. Si S, Moss JR, Sullivan TR, Newton SS, Stocks NP. Effectiveness of general practice-based health checks: a systematic review and meta-analysis. Br J Gen Pract. 2014;64(618):e47–e53. doi: 10.3399/bjgp14X676456. - DOI - PMC - PubMed
    1. Simmons RK, Griffin SJ, Witte DR, Borch-Johnsen K, Lauritzen T, Sandbæk A. Effect of population screening for type 2 diabetes and cardiovascular risk factors on mortality rate and cardiovascular events: a controlled trial among 1,912,392 Danish adults. Diabetologia. 2017;23:1–9. - PMC - PubMed
    1. Ebrahim S, Taylor F, Ward K, Beswick A, Burke M, Davey SG. Multiple risk factor interventions for primary prevention of coronary heart disease. Cochrane Database Syst Rev. 2011;19(1):CD001561. - PMC - PubMed
    1. Blood Pressure Lowering Treatment Trialists’ Collaboration Blood pressure-lowering treatment based on cardiovascular risk: a meta-analysis of individual patient data. Lancet Lond Engl. 2014;384(9943):591–598. doi: 10.1016/S0140-6736(14)61212-5. - DOI - PubMed
    1. Cholesterol Treatment Trialists’ (CTT) Collaborators. Mihaylova B, Emberson J, Blackwell L, Keech A, Simes J. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. Lancet Lond Engl. 2012;380(9841):581–590. doi: 10.1016/S0140-6736(12)60367-5. - DOI - PMC - PubMed

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