[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100582626":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":21,"locations":30,"responsibleParty":48,"collaborators":50,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":20,"eligibilityCriteria":62,"healthyVolunteers":58,"sex":63,"minAge":64,"maxAge":65,"enrollmentInfo":66,"targetDuration":20,"studyType":69,"phases":70,"briefSummary":72,"conditions":73,"keywords":76,"overallStatus":84,"whyStopped":20,"lastUpdateSubmitDate":85,"lastUpdatePostDateStruct":86,"startDateStruct":89,"completionDateStruct":91,"leadSponsor":93,"locationsCount":94},{"fullName":5,"class":6},"San Diego State University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"integrated medication monitoring system","EXPERIMENTAL","The single-arm intervention design of this study focuses on delivering a comprehensive integrated medication monitoring system to a cohort of breast cancer survivors. The system will analyze data collected from EMAs, MEMS, and Fitbit sensors to identify participants at risk of nonadherence. Based on this risk assessment, personalized interventions will be delivered through the Digital Trails app, which may include reminders for medication intake, among others.",[13],"Device: integrated medication monitoring (MM) system",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"DEVICE","integrated medication monitoring (MM) system","We have created a new integrated medication monitoring (MM) system consisting of baseline, 3-month, and 6-month surveys, smartphone-based ecological momentary assessment via an application installed on a smartphone (Digital Trails based on the UVA Sensus app), a wireless medication event monitoring system device (MEMS; Wisepill), and a wearable sensor (Fitbit), and data collected passively from smartphone sensors using the Digital Trails app. These sources of information will be used to understand predictors of medication taking behaviors and, after two months of monitoring, to deploy appropriate interventions which will be delivered via the Digital Trails app platform.",[9],null,[22,27],{"name":23,"role":24,"phone":25,"phoneExt":20,"email":26},"Kristen J Wells, PhD","CONTACT","619-594-1919","kwells@sdsu.edu",{"name":28,"role":24,"phone":20,"phoneExt":20,"email":29},"Laura Barnes, PhD","lb3dp@virginia.edu",[31],{"facility":5,"status":20,"city":32,"state":33,"zip":34,"country":35,"countryCode":36,"cosmosGeoPoint":37,"geoPoint":42,"contacts":43},"San Diego","California","92120","United States","US",{"type":38,"coordinates":39},"Point",[40,41],-117.16472,32.71571,{"lat":41,"lon":40},[44],{"name":45,"role":24,"phone":46,"phoneExt":20,"email":47},"Gabriel Estrella","619-594-3120","gestrella@sdsu.edu",{"type":49,"investigatorFullName":20,"investigatorTitle":20,"investigatorAffiliation":20,"oldNameTitle":20,"oldOrganization":20},"SPONSOR",[51,53],{"name":52,"class":6},"University of Virginia",{"name":54,"class":55},"National Cancer Institute (NCI)","NIH","100582626","collaborative-research-multiscale-modeling-and-intervention-for-improving-long-term-medication-100582626",false,"NCT06865755","Collaborative Research: Multiscale Modeling and Intervention for Improving Long-Term Medication","Deploying and Evaluating a Technology Based System to Help People Adhere to Long Term Medications","Inclusion Criteria:\n\n* are English-speaking and reading;\n* are between ages 21 and 70 years;\n* are diagnosed with stage 0-3 breast cancer in the past 5 years;\n* have completed all surgery, radiation, and chemotherapy, except endocrine therapy;\n* are prescribed endocrine therapy;\n* do not have a physical impairment that would prevent them from using the MM system;\n* are able to provide informed consent;\n* are willing and able to use the MM system for 6 months;\n* have an Iphone or Android phone.","FEMALE","21 Years","70 Years",{"count":67,"type":68},15,"ESTIMATED","INTERVENTIONAL",[71],"NA","The goal of this study is to learn about the impact of an integrated medication monitoring system in breast cancer survivors aged 21-70 who are prescribed endocrine therapy. The main question it aims to address is: Does the integrated medication monitoring system improve medication adherence among breast cancer survivors when used over a six-month period?\n\nFifteen English-speaking breast cancer survivors who meet the inclusion criteria will use a combination of smartphone-based ecological momentary assessments, a medication event monitoring system (Wisepill), and a wearable sensor (Fitbit). After 2 months, participants will be provided personalized content to facilitate medication adherence through an app (Digital Trails) and through WisePill. Participants will complete online surveys at baseline, 3 months, and 6 months to assess their experiences and adherence.",[74,75],"Breast Cancer Survivor","Breast Cancer Early Stage Breast Cancer (Stage 1-3)",[77,78,79,80,81,82,83],"Single-Arm Study Design","Medication Event Monitoring System (MEMS)","Medication Adherence","Breast Cancer Survivors","Personalized Interventions","endocrine therapy","mobile health","NOT_YET_RECRUITING","2026-04-22",{"date":87,"type":88},"2026-04-27","ACTUAL",{"date":90,"type":68},"2026-07",{"date":92,"type":68},"2026-12",{"name":5,"class":6},1]