POWER2DM: Predictive model-based decision support for diabetes patient empowerment - Quantification Campaign

POWER2DM: Predictive model-based decision support for diabetes patient empowerment - Quantification Campaign - POWER2DM: Quantification Campaign

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON45607

Enrollment

Registered

2017-03-14

Start date

2017-01-18

Completion date

Unknown

Last updated

2024-02-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

diabetes diabetes mellitus type 1 diabetes type 2 diabetes

Interventions

diabetes

mHealth

model-based

self-management

Eligibility

Age

18 Years to 64 Years

Inclusion criteria

Inclusion criteria: * Age 20-70 * Diagnosed type 1 diabetes mellitus or type 2 diabetes mellitus * Able to self-monitor and work with a computer and smart phone with internet connections (as assessed by researcher)

Exclusion criteria

Exclusion criteria: * Severe renal insufficiency (eGFR

Design outcomes

Primary

Measure	Time frame
This study is observational in nature with blood glucose levels and HbA1c as primary outcomes.	—

Secondary

Measure	Time frame
Secondary outcomes include actual and predicted frequency, timing, and magnitude of hyperglycemic episodes and hypoglycemic episodes; psychosocial measurements of affect, stress, distress, well-being, and self-management.	—

Countries

Germany, Netherlands, Spain

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)