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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Yun Jiang
- Phone Number: 734-763-3705
- Email: jiangyu@umich.edu
Study Locations
-
-
Michigan
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Ann Arbor, Michigan, United States, 48109
- Recruiting
- University Of Michigan Comprehensive Cancer Center
-
Contact:
- Yun Jiang
- Phone Number: 734-763-3705
- Email: jiangyu@umich.edu
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Principal Investigator:
- Yun Jiang
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 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
Exclusion Criteria:
- 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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: Health services research (self-monitoring platform)
Patients 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.
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Ancillary studies
Ancillary studies
Ancillary studies
Receive educational materials and resources
Other Names:
Receive follow-up contact
Other Names:
Use self-monitoring platform
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Self-reported system usability
Time Frame: Up to 6 months
|
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.
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Up to 6 months
|
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Perceived usefulness
Time Frame: Up to 6 months
|
Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
|
Up to 6 months
|
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Ease of use
Time Frame: Up to 6 months
|
Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
|
Up to 6 months
|
|
Attitudes toward use
Time Frame: Up to 6 months
|
Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
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Up to 6 months
|
|
Intention to use and continuous use of the system over time
Time Frame: Up to 12 months
|
Qualitative data, including brief interview data will be analyzed and summarized through content analysis.
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Up to 12 months
|
|
Self-reported patient engagement
Time Frame: Up to 6 months
|
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.
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Up to 6 months
|
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System usage over time
Time Frame: Up to 12 months
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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.
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Up to 12 months
|
|
Patient activation levels
Time Frame: Up to 6 months
|
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
|
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Medication self-management ability
Time Frame: Up to 6 months
|
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
|
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Symptom distress
Time Frame: Up to 6 months
|
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.
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Up to 6 months
|
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Health related quality of life
Time Frame: Up to 6 months
|
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.
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Up to 6 months
|
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Number of emergency room visits
Time Frame: Up to 12 months
|
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.
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Up to 12 months
|
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Number of hospitalizations
Time Frame: Up to 12 months
|
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.
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Up to 12 months
|
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User experiences with the system
Time Frame: Up to 6 months
|
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.
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Up to 6 months
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Self-tracked, structured medication safety events or concerns
Time Frame: Up to 12 months
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To understand the nature and causes of events and concerns, self-tracked, structured medication safety events or concerns tracking data from the system, such as the number and types of events or concerns self-tracked, will be summarized using descriptive statistics.
The free-text tracking data from the system will be analyzed and summarized through content analysis or natural language processing techniques, depending on data volume.
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Up to 12 months
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Yun Jiang, University of Michigan Rogel Cancer Center
- Principal Investigator: Yang Gong, UTHealth Houston McWilliam School of Biomedical Informatics
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Urogenital Diseases
- Genital Diseases
- Genital Neoplasms, Male
- Urogenital Neoplasms
- Neoplasms by Site
- Neoplasms
- Genital Diseases, Male
- Prostatic Diseases
- Male Urogenital Diseases
- Intestinal Diseases
- Respiratory Tract Diseases
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Digestive System Diseases
- Gastrointestinal Diseases
- Intestinal Neoplasms
- Rectal Diseases
- Lung Diseases
- Respiratory Tract Neoplasms
- Thoracic Neoplasms
- Colonic Diseases
- Skin Diseases
- Breast Diseases
- Skin and Connective Tissue Diseases
- Prostatic Neoplasms
- Lung Neoplasms
- Colorectal Neoplasms
- Breast Neoplasms
- Health Care Quality, Access, and Evaluation
- Investigative Techniques
- Epidemiologic Methods
- Data Collection
- Health Care Evaluation Mechanisms
- Quality of Health Care
- Public Health
- Environment and Public Health
- Health Services
- Health Care Facilities Workforce and Services
- Child Health Services
- Community Health Services
- Preventive Health Services
- Socioeconomic Factors
- Population Characteristics
- Immunologic Techniques
- Genetic Techniques
- Epidemiologic Studies
- Epidemiologic Study Characteristics
- Chromatin Immunoprecipitation
- High-Throughput Nucleotide Sequencing
- Sequence Analysis
- Sequence Analysis, DNA
- Immunoprecipitation
- Cohort Studies
- Methods
- Interviews as Topic
- Early Intervention, Educational
- Educational Status
- Chromatin Immunoprecipitation Sequencing
- Follow-Up Studies
Other Study ID Numbers
Other Study ID Numbers
- UMCC 2025.050
- NCI-2025-08754 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
- HUM00272763 (Other Identifier: University of Michigan)
- R01HS027846 (U.S. AHRQ Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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