[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100460978":3},{"organization":4,"armGroups":7,"interventions":22,"overallOfficials":28,"centralContacts":32,"locations":41,"responsibleParty":65,"collaborators":68,"id":71,"slug":72,"hasResults":73,"nctId":74,"briefTitle":75,"officialTitle":75,"acronym":12,"eligibilityCriteria":76,"healthyVolunteers":73,"sex":77,"minAge":78,"maxAge":12,"enrollmentInfo":79,"targetDuration":12,"studyType":82,"phases":83,"briefSummary":85,"conditions":86,"keywords":89,"overallStatus":44,"whyStopped":12,"lastUpdateSubmitDate":96,"lastUpdatePostDateStruct":97,"startDateStruct":100,"completionDateStruct":102,"leadSponsor":104,"locationsCount":105},{"fullName":5,"class":6},"Brigham and Women's Hospital","OTHER",[8,13,16],{"label":9,"type":10,"description":11,"interventionNames":12},"Usual Care (Arm 1)","NO_INTERVENTION","During the 18-month Baseline Period (Arm 1, n=450) patients will be enrolled and receive usual care to develop the initial predictive model.",null,{"label":14,"type":10,"description":15,"interventionNames":12},"Usual Care (Arm 2)","During the 30-month Main Trial (RCT) Period, patients will be randomized to usual care (Arm 2, n=425). Data collection for post-discharge AE determination will occur during both periods.",{"label":17,"type":18,"description":19,"interventionNames":20},"Intervention (Arm 3)","EXPERIMENTAL","During the 30-month Main Trial (RCT) Period, patients will be randomized to the intervention (Arm 3, n=425). Data collection for post-discharge AE determination will occur during both periods.",[21],"Behavioral: ePRO Application",[23],{"type":24,"name":25,"description":26,"armGroupLabels":27,"otherNames":12},"BEHAVIORAL","ePRO Application","The intervention consists of a patient portal, EHR-integrated web-app to communicate risk of post-discharge adverse events using patient-reported outcome questionnaires, discharge preparation checklist during hospitalization. After discharge, the intervention will provide real-time symptom monitoring using ePROs and facilitate communication with clinicians based on prediction model-informed ePRO score trends exceeding escalation thresholds.",[17],[29],{"name":30,"affiliation":5,"role":31},"Anuj Dalal, MD","PRINCIPAL_INVESTIGATOR",[33,37],{"name":30,"role":34,"phone":35,"phoneExt":12,"email":36},"CONTACT","(617) 525-8891","adalal1@bwh.harvard.edu",{"name":38,"role":34,"phone":39,"phoneExt":12,"email":40},"Savanna Plombon, MPH","857-307-2668","splombon@bwh.harvard.edu",[42,59],{"facility":43,"status":44,"city":45,"state":46,"zip":47,"country":48,"countryCode":49,"cosmosGeoPoint":50,"geoPoint":55,"contacts":56},"Brigham and Women's Faulkner Hospital","RECRUITING","Boston","Massachusetts","02115","United States","US",{"type":51,"coordinates":52},"Point",[53,54],-71.05977,42.35843,{"lat":54,"lon":53},[57],{"name":58,"role":34,"phone":12,"phoneExt":12,"email":12},"Anuj K Dalal, MD",{"facility":5,"status":44,"city":45,"state":46,"zip":47,"country":48,"countryCode":49,"cosmosGeoPoint":60,"geoPoint":62,"contacts":63},{"type":51,"coordinates":61},[53,54],{"lat":54,"lon":53},[64],{"name":58,"role":31,"phone":12,"phoneExt":12,"email":12},{"type":31,"investigatorFullName":66,"investigatorTitle":67,"investigatorAffiliation":5,"oldNameTitle":12,"oldOrganization":12},"Anuj K. Dalal, MD","Associate Physician",[69],{"name":70,"class":6},"RAND","100460978","real-time-symptom-monitoring-using-epros-to-prevent-adverse-events-during-care-transitions-100460978",false,"NCT05282654","Real-time Symptom Monitoring Using ePROs to Prevent Adverse Events During Care Transitions","Inclusion Criteria:\n\n* Adult (18 years or older)\n* Hospitalized on the general medicine services at Brigham and Women's Hospital or Brigham and Women's Faulkner Hospital for at least 24 hours\n* Have a discharge status of home, home with services, or facility\n* English-speaking patients or their English-speaking legally designated healthcare proxy or next of kin (i.e., a family caregiver)\n* Non-English-speaking patients who have an English-speaking legally designated healthcare proxy or next of kin (i.e., a family caregiver)\n* Two or more chronic conditions: Anxiety, Asthma\\*, Arthritis (Osteoarthritis, Rheumatoid), Atrial Fibrillation, Cancer\\*, Cerebral vascular accident, Chronic kidney disease\\*, Chronic obstructive pulmonary disease (COPD)\\*, Cirrhosis, Coronary artery disease\u002FIschemic heart disease, Dementia, Depression, Diabetes mellitus\\*, End-stage renal disease\\*, Heart failure\\*, Hepatitis B, C\\*, HIV\u002FAIDs, Hyperlipidemia, Hypertension, Inflammatory bowel disease, Osteoporosis, Sickle cell disease, Substance abuse (Alcohol\u002FOpioid)\n\nExclusion Criteria:\n\n* Less than 18 years of age\n* Less than two chronic conditions\n* Hospitalized less than 24 hours\n* No identifiable healthcare proxy or next of kin (i.e., a family caregiver)","ALL","18 Years",{"count":80,"type":81},1300,"ESTIMATED","INTERVENTIONAL",[84],"NA","This study aims to predict and minimize post-discharge adverse events (AEs) during care transitions through early identification and escalation of patient-reported symptoms to inpatient and ambulatory clinicians by way of predictive algorithms and clinically integrated digital health apps. We will (1) develop and prospectively validate a predictive model of post-discharge AEs for patients with multiple chronic conditions (MCC); (2) combine, adapt, extend, and iteratively refine our EHR-integrated digital health infrastructure in a series of design sessions with patient and clinician participants; (3) conduct a RCT to evaluate the impact of ePRO monitoring on post-discharge AEs for MCC patients discharged from the general medicine service across Brigham Health; and (4) use mixed methods to evaluate barriers and facilitators of implementation and use as we develop a plan for sustainability, scale, and dissemination.",[87,88],"Multiple Chronic Conditions","Adverse Event",[90,91,92,93,94,95],"Digital Health","Patient Reported Outcomes","Symptom Monitoring","Predictive Model","Care Transitions","Post Acute Care","2026-04-15",{"date":98,"type":99},"2026-04-20","ACTUAL",{"date":101,"type":99},"2022-02-01",{"date":103,"type":81},"2026-10-15",{"name":5,"class":6},2]