This study will test the use of a web-enabled app that is integrated directly with patients' electronic health records, with and without tailored feedback. The app-based intervention is designed to improve patient-provider communication outside of clinic visits, resulting in improved symptom management and adjuvant endocrine therapy adherence among diverse patients with hormone receptor-positive breast cancer. The researchers will evaluate the impact of the intervention on a comprehensive set of outcomes, including rigorous measures of long-term adherence, quality of life, and costs.
For women with hormone receptor-positive breast cancer, long-term use of adjuvant endocrine therapy (AET) significantly reduces the risk of hospitalizations, cancer recurrence and mortality, and increases quality of life. Despite the known benefits of AETs, many patients are nonadherent due to adverse side effects. Furthermore, lower AET adherence among black women may be contributing to the large and growing disparities in mortality outcomes. Real-time monitoring of treatment-related adverse symptoms and adherence could result in more effective management of symptoms, higher medication adherence, and ultimately lower recurrence and mortality. To date, however, only a few interventions have aimed to improve AET adherence, even fewer have targeted symptom management as a means to improve adherence, and none have found a statistically significant improvement on adherence. This study will fill this research gap by testing a web-enabled app designed with the explicit goal of improving long-term AET adherence. Patient-reported symptoms will be integrated directly with the patient's electronic health record, and concerning reports will trigger an alert to the patient's care team in order to improve timely patient-provider communication and care outside of clinic visits. In a small pilot trial of the study app, the researchers found that participants who had recently initiated a new AET and received weekly reminders to use the app reported significantly higher adherence to AETs at 8 weeks compared with a control group (91% vs. 68%, p=0.02). The proposed study builds on the success of the pilot by: 1) expanding the intervention period to six months in order to capture later-onset adverse symptoms that are slower to develop; 2) following participants for one to three years, depending on enrollment year, to test longer-term effects of the intervention on medication adherence and other outcomes; 3) including a larger sample powered to test multiple levels of the intervention; and 4) race-stratifying to test for a differential impact by race. This study will randomize 360 participants to one of three arms: 1) an "App" group (n=120) that will receive weekly reminders to use the study app; 2) an "App+Feedback" group (n=120) that will receive weekly reminders and personalized feedback based on their use of the app; or 3) a "Usual Care" group (n=120) that will receive usual care only. The app will include questions about AET adherence and adverse symptoms with built-in alerts sent to the patient's care team if any concerning symptoms or trends are reported. The researchers hypothesize that monitoring symptoms and adherence with actionable alerts and tailored feedback reports to patients will result in timelier symptom management and higher long-term adherence to AET. By evaluating the impact of the intervention on a comprehensive set of measures, including AET adherence, patient outcomes, racial disparities and resource use-related costs, this study will provide valuable and actionable results for providers, policy makers, and insurers who strive to achieve the "Triple Aim" - reduce costs while improving health outcomes and the patient experience.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
304
Participants in the THRIVE App group receive a weekly text message to prompt them to log into the THRIVE app to answer questions about their AET adherence and related adverse symptoms. The app can be accessed through any web-enabled device or Internet browser. All participant-reported data will be automatically entered into the patient's electronic health record and easily available to the care team for review. Any concerning symptoms or changes will trigger an email alert to the patient's oncology team.
Participants receive weekly tailored feedback messages and/or images based on their baseline survey responses and use of the app during the 6-month intervention phase. Some tailored feedback includes links to symptom-specific educational materials and coping strategies for participants who report low-severity symptoms. Message categories are tailored to participant's responses to the app and baseline survey.
West Cancer Center, Midtown
Memphis, Tennessee, United States
West Cancer Center, East Memphis
Memphis, Tennessee, United States
Adjuvant Endocrine Therapy (AET) Medication Adherence
Medication adherence with prescribed AET (aromatase inhibitor or tamoxifen) is captured using an electronic monitoring pillbox (Wisepill).
Time frame: Up to Month 12
19 Item Endocrine Symptom Subscale (ESS-19) Score of the Functional Assessment of Cancer Therapy - Endocrine Symptoms (FACT-ES)
Relative changes in adverse symptom burden were assessed using the Endocrine Symptom Subscale of the Functional Assessment of Cancer Therapy - Endocrine Symptoms (FACT-ES) questionnaire. The FACT-ES is a 46-item questionnaire asking participants to report how much they have been impacted by a variety of symptoms on a 5-point scale where 0 = not at all and 4 = very much. The Endocrine Symptom Subscale consists of 19 items with total raw scores ranging from 0 to 76. Higher scores indicate greater impact from symptoms.
Time frame: Baseline, Month 12
Short Form Health Survey (SF-12) Physical Component Summary (PCS) Score
Quality of life was measured with the SF-12 instrument. The SF-12 is a multipurpose short form survey with 12 questions, all selected from the SF-36 Health Survey. SF-12 is a standardized self-report questionnaire that assesses mental and physical functioning. The SF-12 consists of 12 items with a Likert-type response format that measures quality of life with a Physical Component Summary (PCS) and Mental Component Summary (MCS). Subscales associated with the PCS include physical functioning, role limitations due to physical problems, bodily pain, and general health perceptions. A scoring algorithm is used to generate a total score for the PCS component that ranges from 0 to 100. Low values represent a poor health state while high values represent a good health state.
Time frame: Baseline, Month 12
Short Form Health Survey (SF-12) Mental Component Summary (MCS) Score
Quality of life was measured with the SF-12 instrument. The SF-12 is a multipurpose short form survey with 12 questions, all selected from the SF-36 Health Survey. SF-12 is a standardized self-report questionnaire that assesses mental and physical functioning. The SF-12 consists of 12 items with a Likert-type response format that measures quality of life with a Physical Component Summary (PCS) and Mental Component Summary (MCS). Subscales associated with the MCS include vitality (energy and fatigue), social functioning, role limitations due to emotional problems, and mental health. A scoring algorithm is used to generate a total score for the MCS component that ranges from 0 to 100. Low values represent a poor health state while high values represent a good health state.
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Time frame: Baseline, Month 12
Patient-Reported Outcomes Measurement Information System (PROMIS) Self-Efficacy for Managing Symptoms Score
Relative changes in adverse symptom burden were measured using the 4-item PROMIS Self-Efficacy for Managing Symptoms short form questionnaire. Participants indicate how confident they are that they can manage their symptoms on a 5-point scale where 1 = not confident at all and 5 = very confident. Total scores range from 4 to 20 and higher scores indicate greater self-efficacy for managing symptoms.
Time frame: Baseline, Month 12