[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100595326":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":13,"locations":23,"responsibleParty":43,"collaborators":7,"id":45,"slug":46,"hasResults":47,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":51,"eligibilityCriteria":52,"healthyVolunteers":47,"sex":53,"minAge":54,"maxAge":55,"enrollmentInfo":56,"targetDuration":59,"studyType":60,"phases":7,"briefSummary":61,"conditions":62,"keywords":67,"overallStatus":26,"whyStopped":7,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":79},{"fullName":5,"class":6},"Murdoch Childrens Research Institute","OTHER",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"DEVICE","Wearable Device","Wearable device to collect the following health metrics directly from participants for the duration of the study (4 weeks). Health metrics are collected every 15 minutes, except for the ECG which will be collected once per week.\n\nData points:\n\n* ECG data (Once per week)\n* Exercise time\n* Body Temperature\n* Heart Rate\n* Irregular Heart Rhythm\n* Blood Oxygen Saturation\n* Respiratory Rate",[14,19],{"name":15,"role":16,"phone":17,"phoneExt":7,"email":18},"Lane Collier","CONTACT","03 9936 6324","lane.collier@mcri.edu.au",{"name":20,"role":16,"phone":21,"phoneExt":7,"email":22},"A\u002FProf Rachel Conyers","03 9345 5522","rachel.conyers@rch.org.au",[24],{"facility":25,"status":26,"city":27,"state":28,"zip":7,"country":29,"countryCode":30,"cosmosGeoPoint":31,"geoPoint":36,"contacts":37},"The Royal Children's Hospital","RECRUITING","Parkville","Victoria","Australia","AU",{"type":32,"coordinates":33},"Point",[34,35],144.95,-37.78333,{"lat":35,"lon":34},[38,39,40,42],{"name":15,"role":16,"phone":17,"phoneExt":7,"email":18},{"name":20,"role":16,"phone":21,"phoneExt":7,"email":22},{"name":15,"role":41,"phone":7,"phoneExt":7,"email":7},"PRINCIPAL_INVESTIGATOR",{"name":20,"role":41,"phone":7,"phoneExt":7,"email":7},{"type":44,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR","100595326","wearable-technology-and-machine-learning-for-early-detection-and-risk-assessment-of-unacceptable-toxicities-in-a-paediatric-oncology-cohort-100595326",false,"NCT07030998","Wearable Technology and Machine Learning for Early Detection and Risk Assessment of Unacceptable Toxicities in a Paediatric Oncology Cohort","WEARABLES: Wearable Technology and Machine Learning for Early Detection and Risk Assessment of Unacceptable Toxicities in a Paediatric Oncology Cohort","WEARABLES","Inclusion Criteria:\n\n* Paediatric, adolescent or young adult diagnosis of cancer AND receiving therapy placing them at risk of infection\n* Receiving cancer treatment at The Royal Children's Hospital\n* Patients aged 5-18 years at time of the eligibility screening\n* If aged \\\u003C 16 years, parent or guardian able to provide consent\n* iPhone 8 or later (iOS must be up to date\u002Fupdated at time of enrolment)\n* At least 10MB of iPhone storage for WEARABLES app and data collection.\n* Willing and able to wear a wearable device for a period of 4 weeks (during waking hours).\n* Consent to data being shared to the WEARABLES app (owned by the research team).\n\nExclusion Criteria:\n\n* \\\u003C5 years of age.\n* \\\u003C16 years of age without guardian or parent consent.\n* Aged 16-18 and unable to provide consent.\n* Participant did not consent to wearing Apple Watch for a period of 4 weeks.","ALL","5 Years","18 Years",{"count":57,"type":58},150,"ESTIMATED","4 Weeks","OBSERVATIONAL","Data collection study to establish a predictive model of infection observed during childhood cancer therapy using data captured by wearable technology.",[63,64,65,66],"Cancer","Infection","Digital Health","Wearable Devices",[63,68,64,69,11],"Paediatric","Treatment Toxicity","2025-11-14",{"date":72,"type":73},"2025-11-17","ACTUAL",{"date":75,"type":73},"2025-10-15",{"date":77,"type":58},"2027-12",{"name":5,"class":6},1]