Clinical trial · Observational
App-Assisted Day Reconstruction to Reduce Logistic Toxicity in Cancer
App-Assisted Day Reconstruction to Reduce Treatment Burden and Logistic Toxicity in Cancer Patients
- 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)
The number of new cases of cancer diagnosed in the U.S. was 1.7 million in 2017 and is expected to increase by 35% to 2.3 million in 2030\[1\]. Cancer treatments often create numerous logistic challenges in prioritizing and managing treatment and everyday life priorities and how these challenges affect their everyday lives and well-being (hence "logistic toxicity"). However, there are no established reliable tools to monitor patients' logistic challenges and the associated impacts; and logistic toxicity has been largely unaddressed in cancer care delivery. The objective is to develop the first digital health app for cancer patients to continuously monitor logistic toxicity in their daily lives. The app will combine objective data from mobile sensing with subjective self-reported data to form an app-assisted day reconstruction system that captures activity engagement and well-being information associated with cancer treatment-related activities and trips throughout the day.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cancer | Malignant Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (2)
- measure
- Interviews
- timeFrame
- 7 months
- description
- Number of Interviews completed to help identify themes to develop a cancer-specific, multi-tiered activity/trip classification system to organize cancer treatment-related activities and trips in the app; and user stories to describe what the users want to do with the proposed app. 45-minute interviews.
- measure
- Satisfaction Score Follow-Up Survey
- timeFrame
- 7 months
- description
- Participants with overall satisfaction with proposed system design will be measured using a 5-point Likert scale from not at all satisfied to very satisfied. The primary endpoint will be the proportion of participants who report an overall satisfaction score of 4.0 or above. 10-Minutes.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * 18 years of age, currently receiving treatment for cancer, able to read/write/speak in English, and able to provide voluntary informed consent. Exclusion Criteria: * Those who are currently incarcerated or have opted out of research contact within M Health Fairview system.
References
Publications (0)
Data not yet available