[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100646507":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":19,"centralContacts":23,"locations":33,"responsibleParty":49,"collaborators":18,"id":52,"slug":53,"hasResults":54,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":18,"eligibilityCriteria":58,"healthyVolunteers":54,"sex":59,"minAge":60,"maxAge":18,"enrollmentInfo":61,"targetDuration":18,"studyType":64,"phases":65,"briefSummary":67,"conditions":68,"keywords":71,"overallStatus":36,"whyStopped":18,"lastUpdateSubmitDate":76,"lastUpdatePostDateStruct":77,"startDateStruct":80,"completionDateStruct":82,"leadSponsor":84,"locationsCount":85},{"fullName":5,"class":6},"The Hong Kong Polytechnic University","OTHER",[8],{"label":9,"type":10,"description":9,"interventionNames":11},"Ecological Momentary Assessment based Self-management Program","EXPERIMENTAL",[12],"Behavioral: Ecological Momentary Assessment based Self-management Program",[14],{"type":15,"name":9,"description":16,"armGroupLabels":17,"otherNames":18},"BEHAVIORAL","The research team collects participants' EMA data (ie., depression, cognitive function, daily activity, and contextual data) from participants for 7-day and analyze the data by machine learning in the first phase, while provide real-time, individualized, self-care messages to the participants via a personalized self-care AI app in the second phase.",[9],null,[20],{"name":21,"affiliation":5,"role":22},"Arkers KC Wong, PhD","PRINCIPAL_INVESTIGATOR",[24,29],{"name":25,"role":26,"phone":27,"phoneExt":18,"email":28},"Arkers KC Prof. Wong, PhD","CONTACT","+852 34003805","arkers.wong@polyu.edu.hk",{"name":30,"role":26,"phone":31,"phoneExt":18,"email":32},"Nuo Dr. Shi, DHSc","+852 34008172","nuo-catherine.shi@polyu.edu.hk",[34],{"facility":35,"status":36,"city":37,"state":37,"zip":38,"country":37,"countryCode":39,"cosmosGeoPoint":40,"geoPoint":45,"contacts":46},"Queen Elizabeth Hospital","RECRUITING","Hong Kong","999077","HK",{"type":41,"coordinates":42},"Point",[43,44],114.17469,22.27832,{"lat":44,"lon":43},[47],{"name":48,"role":26,"phone":27,"phoneExt":18,"email":28},"Vivian WY Ms. Kwok",{"type":22,"investigatorFullName":50,"investigatorTitle":51,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"Arkers, Wong","Associate Professor","100646507","an-ecological-momentary-assessment-based-program-to-support-self-management-for-post-stroke-patients-100646507",false,"NCT07691411","An Ecological Momentary Assessment Based Program to Support Self-Management for Post-stroke Patients","Combining Machine Learning and Ecological Momentary Assessment of Depression, Cognitive Function and Daily Activity Behavior to Support Self-Management for Post-stroke Patients: A Feasibility Study","Inclusion Criteria:\n\n* adults aged 18 years or older\n* having a confirmed diagnosis of stroke\n* having sufficient proficiency in Cantonese to understand and respond to the assessments and prompts\n* having a Hong Kong version of the Montreal Cognitive Assessment (HK-MoCA) score of 18 or higher\n* having a smartphone.\n\nExclusion Criteria:\n\n* they have moderate to severe cognitive impairment (a HK-MoCA score of 17 or lower)\n* they have active psychiatric disorders other than depression (e.g., schizophrenia, bipolar disorder)\n* they have a terminal illness or prognosis that suggests a limited life expectancy\n* they have conditions that compromise their self-care ability (i.e., bedbound).","ALL","18 Years",{"count":62,"type":63},50,"ESTIMATED","INTERVENTIONAL",[66],"NA","The goal of this feasibility study is to test whether a new approach that combines real-time symptom tracking (Ecological Momentary Assessment) with machine learning can help people recovering from a stroke to better manage depression, thinking difficulties, and daily functioning. The main questions it aims to answer are:\n\nIs this combined approach practical and acceptable for post-stroke survivors? Does the program improve mood, cognitive function, or functional ability to carry out daily activities?\n\nParticipants will:\n\nUse a smartphone app called RehabCare Companion for a period of time Answer brief daily surveys about their mood, thoughts, and activities for one week Receive personalized self-care suggestions generated by machine learning based on their responses Complete assessments of depression, cognition, and functioning before and after the program Take part in a group interview to share their experiences",[69,70],"Stroke","Post Stroke",[69,72,73,74,75],"Self-management","Depression","Cognitive Function","Ecological Momentary Assessment","2026-07-02",{"date":78,"type":79},"2026-07-08","ACTUAL",{"date":81,"type":79},"2026-01-06",{"date":83,"type":63},"2026-11-30",{"name":5,"class":6},1]