"power2dm evaluation campaign"

Conditions: Type1 Diabetes Mellitus; Type2 Diabetes Mellitus; Diabetes Mellitus; Health Behavior; Self Efficacy

Summary: rationale: hyperglycaemia is an important cause of long-term macro-and microvascular complications in all patients with diabetes mellitus. however, only a small fraction of the patients with diabetes reaches the set target of glycemic control. problems with adequate self-management usually underlie problems to maintain glycaemic control. thus, patients need more support in order to reduce the burden and increase the effectiveness of their diabetes self-management. one way to do this is by using integrated technologies and personalized plans for diabetes care. for this purpose, the power2dm support system was developed to give patients insight into their condition and support diabetes patients and their health care professionals in setting and achieving self-management goals using predictive computer model simulations and behavioural action plans. objective: to provide proof of concept that power2dm is safe and effective in improving glycaemic control, improving behavioural/psychosocial and lifestyle markers, and to assess the cost-effectiveness of the approach and to highlight any potential issues that may impede implementation. study design: this is a pragmatic randomised controlled trial with 9 months follow-up in which patients will be randomised 1:1 to either power2dm support (power2dm group) or usual care (usual care group). there will be evaluation moments at baseline, after 11 weeks, 22 weeks and 37 weeks. study population: 230 patients with diabetes (n=115 type 1 diabetes (t1d), n=115 type 2 diabetes (t2d)) recruited from out-patient clinics in the netherlands (leiden university medical centre and affiliating teaching hospitals n=115) and córdoba, spain (reina sofia university hospital n=115). intervention: the power2dm support group will receive access to the prototype 2 of the power2dm system. this system consists of two components: 1) the web-based shared decision making dashboard, used to set self-management goals together with a health care professional with the use of both short- and long-term predictive computer simulation models, and 2) the power2dm self-management support system as a mobile application and webpage, used to support behavioural change in dm self-management. the system is fed with data from an activity tracker, a glucose monitor and manual data entry. main study parameters/endpoints: change in glucose regulation as measured by %hba1c before and after the intervention compared between the intervention and control group.


Eligibility criteria:
inclusion criteria: * diagnosed t2dm or t1dm * able to self-monitor and work with computer and smart phone with internet connections (as assessed by researcher) exclusion criteria: * severe renal insufficiency (egfr\<30ml/min) * serious/severe comorbidity that interferes with diabetes outcomes or diabetes self-management including but not limited to: psychiatric diseases, chronic hepatopathy, active malignancy, chronic obstructive pulmonary disease (copd), disease of the digestive tract, endocrine disorders, cerebrovascular disease with disability * for female participants: pregnancy or wanting to become pregnant in the coming 9 months * concurrent participation in other clinical trials * any other situation in which the investigator identifies a potential risk of not being able to perform the study.

Keywords: electronic health (ehealth)