癌症患者用药安全与疑虑追踪的自我监测平台

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.

Ancillary studies

Ancillary studies

Ancillary studies

Receive educational materials and resources

• 干预教育
• 教育干预
• 通过教育进行干预
• 干预，教育

Receive follow-up contact

• 主动跟进
• 临床体征随访
• CLSFUP
• 跟进
• 已关注

Use self-monitoring platform

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.

Qualitative data, including brief interview data will be analyzed and summarized through content analysis.

Qualitative data, including brief interview data will be analyzed and summarized through content analysis.

Qualitative data, including brief interview data will be analyzed and summarized through content analysis.

Qualitative data, including brief interview data will be analyzed and summarized through content analysis.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.