Clinical trial · Interventional
Effect of Smartphone App on Activity
The Effect of a Smartphone Application for Encouraging Physical Activity on the Amount of Activity Performed by Patients With Diabetes or Hematological Malignancies
NCT02612402CI-TRIAL-00019912unknownN/AClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
A smartphone app will be installed on smartphones of patients with type 2 diabetes or hematologic malignancies that do not exercise. The app will send SMS messages to encourage exercise. The exercise will be quantified by the smartphone accelerometer and clinical data, including HbA1c will be collected.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Diabetes Type 2 | — | UNRESOLVED | — |
| Hematologic Malignancy | Hematopoietic and Lymphoid Cell Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| constant weekly message reminding patient to exercise | Device | — | UNRESOLVED |
| messages generated by learning algorithm | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- Learning algorithm
- description
- The app will be installed on the patients's phone. The app will measure the amount of activity performed. THE INTERVENTION IS THAT the Patients will receive daily messages, a learning algorithm will study the exercise response to each type of message and personalize the best message sequence for each patient.
- interventionNames
- Device: messages generated by learning algorithm
- type
- ACTIVE_COMPARATOR
- label
- control
- description
- The app will be installed on the patients's phone. The app will measure the amount of activity performed. THE INTERVENTION IS THAT THE Patients will receive a weekly reminder to exercise.
- interventionNames
- Device: constant weekly message reminding patient to exercise
Primary outcomes (1)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 90 Years
Show eligibility criteria text
Inclusion Criteria: 1. Age over 18. 2. Diagnosis of diabetes type 2 with HbA1c over 6.5% and no regular exercise for arm A. 3. Newly diagnosed lymphoma, CLL or MM which require chemotherapy for arm B. 4. Patients in both arms should hold an android based smartphone. 5. Patients must be able to read Hebrew. Exclusion Criteria: 1. Unable to legally consent 2. unstable or stable angina pectoris
References
Publications (1)
- DERIVEDHochberg I, Feraru G, Kozdoba M, Mannor S, Tennenholtz M, Yom-Tov E. Encouraging Physical Activity in Patients With Diabetes Through Automatic Personalized Feedback via Reinforcement Learning Improves Glycemic Control. Diabetes Care. 2016 Apr;39(4):e59-60. doi: 10.2337/dc15-2340. Epub 2016 Jan 28. No abstract available. PMID 26822328