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"POWER2DM Evaluation Campaign" (POWER2DMEC)

Primary Purpose

Type1 Diabetes Mellitus, Type2 Diabetes Mellitus, Diabetes Mellitus

Status
Unknown status
Phase
Not Applicable
Locations
International
Study Type
Interventional
Intervention
POWER2DM system
Usual care
Sponsored by
Leiden University Medical Center
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Type1 Diabetes Mellitus focused on measuring Electronic Health (eHealth)

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

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.

Sites / Locations

  • Leiden University Medical Centre
  • Reina Sofia University Hospital

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Active Comparator

Arm Label

POWER2DM support group

Usual care group

Arm Description

Participants in this group will receive access to the POWER2DM system as an adjunct to usual care. The participants have three intervention visits in which they will use the Shared Decision Making Dashboard to set self-management goals and will use the Self-Management Support system for trying to reach those goals in the periods after the intervention visits.

Participants in this group will follow their usual diabetes care with their own diabetes care team.

Outcomes

Primary Outcome Measures

Change in glycemic control
Change in HbA1c before and after the intervention compared between the intervention and control group

Secondary Outcome Measures

Amount hypoglycemia
Amount of hypoglycemia measured by time spent in hypoglycaemia before and after treatment in the Power2DM group compared to the usual care control group
Hypo unawareness
Hypo unawareness as measured by Clarke's hypo unawareness questionnaire, before and after treatment in the Power2DM group compared to the usual care control group
Incidence of adverse events
Incidence of adverse events occurring during the study period including serious hypoglycemic events
Mean blood glucose (MBG)
As derived from continuous glucose measurements by a flash glucose monitoring (FGM) device
Standard deviation of MBG (SDBG)
As derived from continuous glucose measurements by a FGM device
Largest amplitude of glycemic excursions (LAGE)
As derived from continuous glucose measurements by a FGM device
Mean amplitude of glycemic excursions (MAGE)
As derived from continuous glucose measurements by a FGM device
Absolute means of daily differences (MODD)
As derived from continuous glucose measurements by a FGM device
Time spent in range
As derived from continuous glucose measurements by a FGM device
ADVANCE Cardiovascular risk
The ADVANCE Cardiovascular Risk Engine, calculates the risk of major cardiovascular disease in patients with type 2 diabetes for the next 4 years (range 0-100%). This is defined as fatal or non-fatal myocardial infarction, stroke or cardiovascular death.
ADVANCE Kidney disease Risk
The ADVANCE Kidney Risk Engine, calculates the risk of new-onset albuminuria and major kidney-related events in patients with type 2 diabetes for the next 5 years (range 0-100%). Major kidney-related events are defined as doubling of serum creatinin to >2.26mg/dL, renal replacement therapy, or renal death.
Major Outcomes T1D
The Major Outcomes T1D risk score assess the 3, 5 and 7 year risk of a patient with type 1 diabetes on major outcomes (range 0-100%). These outcomes included major coronary heart disease, stroke, end-stage renal failure, amputations, blindness and all-cause death.
UKPDS risk score
The UKPDS risk score calculated the risk a patient with type 2 diabetes will develop coronary heart disease, fatal coronary hear disease, stroke or fatal stroke (range 0-100%)
Q score
The Q score is a single metric for a continuous glucose monitoring (CGM) profile which summarize the glucose profile using five factors: central tendency, hyperglycemia, hypoglycemia, intra- and inter daily variations.
Amount of steps
Average amount of steps per day over a week measured by a step counter
Self-reported exercise time
Exercise time per week as reported in the POWER2DM system
Frequency of self-monitoring of blood glucose (SMBG) measurements
Frequency of SMBG measurements as reported by the glucose measurement device
Self-reported adherence to medication plan
Self-reported adherence to medication plan as reported in the POWER2DM system
Weight
Weight in kilograms measured on a scale
Body mass index (BMI)
BMI in kg/m2, computed from height and weight
Diabetes Self-Management Questionnaire Revised (DSMQ-R)
Subscales: Glucose Management, Dietary Control, Physical Activity, Health Care Use Transformed scale scores can vary between 0-10, with higher scores indicating more effective self-care
Patient utilities by EQ-5D
No subscales: EQ-5D provides a general health index with higher scores indicating better general health. QALYs will be calculated from EQ-5D scores.
Problem Areas in Diabetes (PAID)
The PAID provides a total diabetes distress score (0-100), with higher scores (> 40) indicating more distress.
Mood/Well-being by WHO-5 and Patient Health Questionnaire (PHQ-9)
WHO-5 provides a total score (0-100) with higher scores indicating better wellbeing, PHQ-9 provides a total score (1-27) indicating a likelihood of depression, with higher scores indicating more depressive symptoms
Technology Acceptance Questionnaire (TAQ)
The TAQ provides scores (1-7) on the following domains: Performance expectancy, Effort expectancy, Social influence, Facilitating conditions, Affect, Self-efficacy, Trust, Motivation and Behavioural intention. Higher scores indicate better acceptance of the system.
Cost-effectiveness
Costs/quality adjusted life years (QALYs) Costs assessed via cost questionnaire and medication registry. QALYs based on patient utilities measured via EQ5D.
Stress by perceived Stress Scale (PSS)
The PSS provides a total perceived stress score (0-40), with higher scores indicating more perceived stress.
Patient Assessment of Chronic Illness Care (PACIC)
The PACIC measures the patient's perception of the care that they receive.

Full Information

First Posted
May 28, 2018
Last Updated
November 25, 2019
Sponsor
Leiden University Medical Center
Collaborators
Andaluz Health Service
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1. Study Identification

Unique Protocol Identification Number
NCT03588104
Brief Title
"POWER2DM Evaluation Campaign"
Acronym
POWER2DMEC
Official Title
Evaluation of the POWER2DM Diabetes Self-Management Support System Compared With Usual Care for Patients With Diabetes
Study Type
Interventional

2. Study Status

Record Verification Date
November 2019
Overall Recruitment Status
Unknown status
Study Start Date
December 3, 2018 (Actual)
Primary Completion Date
April 2020 (Anticipated)
Study Completion Date
April 2020 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Leiden University Medical Center
Collaborators
Andaluz Health Service

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief 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.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Type1 Diabetes Mellitus, Type2 Diabetes Mellitus, Diabetes Mellitus, Health Behavior, Self Efficacy
Keywords
Electronic Health (eHealth)

7. Study Design

Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
Pragmatic randomised trial
Masking
None (Open Label)
Allocation
Randomized
Enrollment
222 (Actual)

8. Arms, Groups, and Interventions

Arm Title
POWER2DM support group
Arm Type
Experimental
Arm Description
Participants in this group will receive access to the POWER2DM system as an adjunct to usual care. The participants have three intervention visits in which they will use the Shared Decision Making Dashboard to set self-management goals and will use the Self-Management Support system for trying to reach those goals in the periods after the intervention visits.
Arm Title
Usual care group
Arm Type
Active Comparator
Arm Description
Participants in this group will follow their usual diabetes care with their own diabetes care team.
Intervention Type
Device
Intervention Name(s)
POWER2DM system
Intervention Description
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. Power2DM support will be provided as an adjunct to usual care
Intervention Type
Other
Intervention Name(s)
Usual care
Intervention Description
Usual care as given to diabetes patients by the patient's diabetes care team.
Primary Outcome Measure Information:
Title
Change in glycemic control
Description
Change in HbA1c before and after the intervention compared between the intervention and control group
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Secondary Outcome Measure Information:
Title
Amount hypoglycemia
Description
Amount of hypoglycemia measured by time spent in hypoglycaemia before and after treatment in the Power2DM group compared to the usual care control group
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Hypo unawareness
Description
Hypo unawareness as measured by Clarke's hypo unawareness questionnaire, before and after treatment in the Power2DM group compared to the usual care control group
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Incidence of adverse events
Description
Incidence of adverse events occurring during the study period including serious hypoglycemic events
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Mean blood glucose (MBG)
Description
As derived from continuous glucose measurements by a flash glucose monitoring (FGM) device
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Standard deviation of MBG (SDBG)
Description
As derived from continuous glucose measurements by a FGM device
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Largest amplitude of glycemic excursions (LAGE)
Description
As derived from continuous glucose measurements by a FGM device
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Mean amplitude of glycemic excursions (MAGE)
Description
As derived from continuous glucose measurements by a FGM device
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Absolute means of daily differences (MODD)
Description
As derived from continuous glucose measurements by a FGM device
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Time spent in range
Description
As derived from continuous glucose measurements by a FGM device
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
ADVANCE Cardiovascular risk
Description
The ADVANCE Cardiovascular Risk Engine, calculates the risk of major cardiovascular disease in patients with type 2 diabetes for the next 4 years (range 0-100%). This is defined as fatal or non-fatal myocardial infarction, stroke or cardiovascular death.
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
ADVANCE Kidney disease Risk
Description
The ADVANCE Kidney Risk Engine, calculates the risk of new-onset albuminuria and major kidney-related events in patients with type 2 diabetes for the next 5 years (range 0-100%). Major kidney-related events are defined as doubling of serum creatinin to >2.26mg/dL, renal replacement therapy, or renal death.
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Major Outcomes T1D
Description
The Major Outcomes T1D risk score assess the 3, 5 and 7 year risk of a patient with type 1 diabetes on major outcomes (range 0-100%). These outcomes included major coronary heart disease, stroke, end-stage renal failure, amputations, blindness and all-cause death.
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
UKPDS risk score
Description
The UKPDS risk score calculated the risk a patient with type 2 diabetes will develop coronary heart disease, fatal coronary hear disease, stroke or fatal stroke (range 0-100%)
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Q score
Description
The Q score is a single metric for a continuous glucose monitoring (CGM) profile which summarize the glucose profile using five factors: central tendency, hyperglycemia, hypoglycemia, intra- and inter daily variations.
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Amount of steps
Description
Average amount of steps per day over a week measured by a step counter
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Self-reported exercise time
Description
Exercise time per week as reported in the POWER2DM system
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Frequency of self-monitoring of blood glucose (SMBG) measurements
Description
Frequency of SMBG measurements as reported by the glucose measurement device
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Self-reported adherence to medication plan
Description
Self-reported adherence to medication plan as reported in the POWER2DM system
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Weight
Description
Weight in kilograms measured on a scale
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Body mass index (BMI)
Description
BMI in kg/m2, computed from height and weight
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Diabetes Self-Management Questionnaire Revised (DSMQ-R)
Description
Subscales: Glucose Management, Dietary Control, Physical Activity, Health Care Use Transformed scale scores can vary between 0-10, with higher scores indicating more effective self-care
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Patient utilities by EQ-5D
Description
No subscales: EQ-5D provides a general health index with higher scores indicating better general health. QALYs will be calculated from EQ-5D scores.
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Problem Areas in Diabetes (PAID)
Description
The PAID provides a total diabetes distress score (0-100), with higher scores (> 40) indicating more distress.
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Mood/Well-being by WHO-5 and Patient Health Questionnaire (PHQ-9)
Description
WHO-5 provides a total score (0-100) with higher scores indicating better wellbeing, PHQ-9 provides a total score (1-27) indicating a likelihood of depression, with higher scores indicating more depressive symptoms
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Technology Acceptance Questionnaire (TAQ)
Description
The TAQ provides scores (1-7) on the following domains: Performance expectancy, Effort expectancy, Social influence, Facilitating conditions, Affect, Self-efficacy, Trust, Motivation and Behavioural intention. Higher scores indicate better acceptance of the system.
Time Frame
5 weeks and 37 weeks
Title
Cost-effectiveness
Description
Costs/quality adjusted life years (QALYs) Costs assessed via cost questionnaire and medication registry. QALYs based on patient utilities measured via EQ5D.
Time Frame
Over 37 weeks
Title
Stress by perceived Stress Scale (PSS)
Description
The PSS provides a total perceived stress score (0-40), with higher scores indicating more perceived stress.
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks
Title
Patient Assessment of Chronic Illness Care (PACIC)
Description
The PACIC measures the patient's perception of the care that they receive.
Time Frame
0 weeks, 11 weeks, 22 weeks and 37 weeks

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
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.
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Jacob Sont, Ph.D.
Organizational Affiliation
Leiden University Medical Center
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Javier Delgado Lista, MD Ph.D.
Organizational Affiliation
Andaluz Health Service
Official's Role
Principal Investigator
Facility Information:
Facility Name
Leiden University Medical Centre
City
Leiden
State/Province
Zuid-Holland
ZIP/Postal Code
2333 ZA
Country
Netherlands
Facility Name
Reina Sofia University Hospital
City
Córdoba
ZIP/Postal Code
14004
Country
Spain

12. IPD Sharing Statement

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"POWER2DM Evaluation Campaign"

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