A Self-Monitoring Platform for Tracking Medication Safety and Concerns in Cancer Patients
Patient Engagement in Using the Technology for Self-Tracking Medication Safety Events
4 other identifiers
interventional
80
1 country
1
Brief Summary
This clinical trial evaluates the usefulness of a self-monitoring platform for tracking medication safety events and concerns in patients with lung, colorectal, breast, and prostate cancer. Patients receiving oral anticancer agents often encounter challenges in managing complex treatment regimens, potentially life-threatening toxicities, and drug-drug and drug-food interactions at home. To achieve the goal of medication safety, they need to become "vigilant partners" in medication and toxicity self-monitoring, including timely reporting of medication events to clinicians when their care transitions back home. In this study, patients use an online self-monitoring platform to track their experiences or concerns about taking their medications, including their experiences with symptoms. This platform may be a useful way for patients to track problems they have when taking their medications at home and may help them take better care of their health.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jan 2026
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 4, 2025
CompletedFirst Posted
Study publicly available on registry
December 18, 2025
CompletedStudy Start
First participant enrolled
January 9, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
January 1, 2028
January 21, 2026
January 1, 2026
2 years
December 4, 2025
January 19, 2026
Conditions
Outcome Measures
Primary Outcomes (14)
Self-reported system usability
Self-reported system usability will be assessed using the 10-item System Usability Scale. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Perceived usefulness
Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 6 months
Ease of use
Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 6 months
Attitudes toward use
Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 6 months
Intention to use and continuous use of the system over time
Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 12 months
Self-reported patient engagement
Self-reported patient engagement will be measured by the 9-item Twente Engagement with Ehealth Technologies Scale (TWEETS), including three dimensions, behavioral engagement, cognitive engagement, and affective engagement. Will use the overall TWEETS score to evaluate patient engagement in this study, rather than analyzing each dimension separately. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables. Will use repeated measures analysis of variance to assess the changes in mean scores of patient engagement. Univariate associations between baseline personal and clinical factors and patient engagement at each time point will be assessed using correlation analyses (Pearson or Spearman), Chi-square tests, or non-parametric Mann-Whitney U tests, depending on the variable types. Multiple linear regressions will be conducted to assess associations between patient engagement and outcomes.
Up to 6 months
System usage over time
Will be objectively recorded by the system logs and analyzed using Google Analytics (dashboard only), including parameters like the number of logins, number of tab pages clicked, number of events or concerns self-tracked, and more. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 12 months
Patient activation levels
Patient activation levels will be measured by the Short Form of Patient Activation Measure. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Medication self-management ability
Medication self-management ability will be measured by the Measure of Medication Self-Management. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Symptom distress
Symptom distress will be measured by the 19-item MD Anderson Symptom Inventory. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Health related quality of life
Health-related quality of life will be measured by the 27-item Functional Assessment of Cancer Therapy - General. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 6 months
Number of emergency room visits
Will be measured by both self-report and chart review. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 12 months
Number of hospitalizations
Will be measured by both self-report and chart review. Will use descriptive statistics, such as mean and standard deviation for continuous variables, and frequency and percentage for categorical variables.
Up to 12 months
User experiences with the system
Participants' user experiences with the system, such as perceived facilitators or barrios to system use, along with their suggestions for system improvement, will be collected through a brief individual interview. Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
Up to 6 months
Secondary Outcomes (1)
Self-tracked, structured medication safety events or concerns
Up to 12 months
Study Arms (1)
Health services research (self-monitoring platform)
EXPERIMENTALPatients use the self-monitoring platform to track medication-related safety events and issues at home for 6 months. Patients may receive relevant educational materials and resources via the platform or by email and/or receive follow-up contact from a nurse practitioner as needed over the 6 months. Patients are encouraged to continue using the platform for an additional 6 months after the study period, as desired.
Interventions
Receive educational materials and resources
Ancillary studies
Receive follow-up contact
Use self-monitoring platform
Eligibility Criteria
You may qualify if:
- Participants are adult patients (aged 18 years or older)
- Diagnosed with lung, colorectal, breast, or prostate cancer
- Are currently receiving active cancer treatments
- Are self-managing one or more prescribed cancer medications
- Participants must have access to technology devices (smartphone, tablet, computer) to track their experiences or concerns about medication safety events, or their family members can help them access technology devices to track the events or concerns
- Speaks and reads English or has a support person (family member or friend) who can assist
You may not qualify if:
- Can't access technology or do not use technology
- Do not have access to the internet
- Do not speak or read English
- Not permitted to participate by their health care providers
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Michigan Comprehensive Cancer Center
Ann Arbor, Michigan, 48109, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Yun Jiang
University of Michigan Rogel Cancer Center
- PRINCIPAL INVESTIGATOR
Yang Gong
UTHealth Houston McWilliam School of Biomedical Informatics
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 4, 2025
First Posted
December 18, 2025
Study Start
January 9, 2026
Primary Completion (Estimated)
January 1, 2028
Study Completion (Estimated)
January 1, 2028
Last Updated
January 21, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share