[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100550878":3},{"organization":4,"outcomesModule":7,"designInfo":31,"detailedDescription":34,"studyPopulation":34,"armGroups":40,"interventions":51,"overallOfficials":34,"centralContacts":57,"locations":63,"responsibleParty":108,"collaborators":111,"id":114,"slug":115,"hasResults":116,"nctId":117,"briefTitle":118,"officialTitle":119,"acronym":34,"eligibilityCriteria":120,"healthyVolunteers":116,"sex":121,"minAge":34,"maxAge":34,"enrollmentInfo":122,"targetDuration":34,"studyType":125,"phases":126,"briefSummary":128,"conditions":129,"keywords":34,"overallStatus":65,"whyStopped":34,"lastUpdateSubmitDate":131,"lastUpdatePostDateStruct":132,"startDateStruct":135,"completionDateStruct":137,"leadSponsor":139,"locationsCount":140},{"fullName":5,"class":6},"Rush University Medical Center","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":27},[9],{"measure":10,"description":11,"timeFrame":12},"Accuracy of one-year mortality rate predictions","Associations between participant predictions (0-100% risk of death) and patient outcomes (death or not) will be determined using logistic regression. Accuracy will be determined by Area Under the Receiver Operating Characteristic (AUROC) analysis.","One-year after participant enrollment",[14,18,21,24],{"measure":15,"description":16,"timeFrame":17},"Confidence in prediction","1-10 scale, 10 being most confident","Upon enrollment",{"measure":19,"description":20,"timeFrame":17},"Comfort communicating prognosis to patient\u002Fsurrogate","1-10 scale, 10 being most comfortable",{"measure":22,"description":23,"timeFrame":17},"Recommendation to transition to comfort-focused care","Yes or No",{"measure":25,"description":26,"timeFrame":12},"Accuracy of timing of patient death","Participants who predict the patient has a \\\u003C50% chance of survival will be asked to predict the month the patient will pass away",[28],{"measure":29,"description":30,"timeFrame":12},"Accuracy of factors influencing prediction","Participants will list up to 5 characteristics of the patient's situation that influenced their prediction",{"allocation":32,"interventionModel":33,"interventionModelDescription":34,"primaryPurpose":35,"observationalModel":34,"timePerspective":34,"maskingInfo":36},"RANDOMIZED","PARALLEL",null,"HEALTH_SERVICES_RESEARCH",{"masking":37,"maskingDescription":34,"whoMasked":38},"SINGLE",[39],"OUTCOMES_ASSESSOR",[41,45],{"label":42,"type":43,"description":44,"interventionNames":34},"Usual Prognostic Approach","NO_INTERVENTION","Participants will make form a prognosis using their usual approach",{"label":46,"type":47,"description":48,"interventionNames":49},"ProVent-14 Guided Prognostic Approach","EXPERIMENTAL","Participants will be asked to form a prognosis after being provided the patient's ProVent-14 score and its meaning",[50],"Behavioral: ProVent-14 score",[52],{"type":53,"name":54,"description":55,"armGroupLabels":56,"otherNames":34},"BEHAVIORAL","ProVent-14 score","A score to estimate one-year mortality for patients requiring at least 14 days of mechanical ventilation",[46],[58],{"name":59,"role":60,"phone":61,"phoneExt":34,"email":62},"Jared Greenberg, MD","CONTACT","312-942-6744","jared_greenberg@rush.edu",[64,80,90],{"facility":5,"status":65,"city":66,"state":67,"zip":68,"country":69,"countryCode":70,"cosmosGeoPoint":71,"geoPoint":76,"contacts":77},"RECRUITING","Chicago","Illinois","60612","United States","US",{"type":72,"coordinates":73},"Point",[74,75],-87.65005,41.85003,{"lat":75,"lon":74},[78],{"name":79,"role":60,"phone":61,"phoneExt":34,"email":62},"Jared A Greenberg, MD",{"facility":81,"status":82,"city":83,"state":67,"zip":84,"country":69,"countryCode":70,"cosmosGeoPoint":85,"geoPoint":89,"contacts":34},"Rush Oak Park Hospital","ACTIVE_NOT_RECRUITING","Oak Park","60304",{"type":72,"coordinates":86},[87,88],-87.7845,41.88503,{"lat":88,"lon":87},{"facility":91,"status":65,"city":92,"state":93,"zip":94,"country":69,"countryCode":70,"cosmosGeoPoint":95,"geoPoint":99,"contacts":100},"University of North Carolina","Chapel Hill","North Carolina","27599",{"type":72,"coordinates":96},[97,98],-79.05584,35.9132,{"lat":98,"lon":97},[101,105],{"name":102,"role":60,"phone":103,"phoneExt":34,"email":104},"David Y Hwang, MD","919-966-8178","david_hwang@med.unc.edu",{"name":106,"role":107,"phone":34,"phoneExt":34,"email":34},"David Y Hwang","PRINCIPAL_INVESTIGATOR",{"type":107,"investigatorFullName":109,"investigatorTitle":110,"investigatorAffiliation":5,"oldNameTitle":34,"oldOrganization":34},"Jared Greenberg","Principal Investigator",[112],{"name":113,"class":6},"University of North Carolina, Chapel Hill","100550878","prognostic-estimates-among-icu-clinicians-100550878",false,"NCT06452797","Prognostic Estimates Among ICU Clinicians","Prognostic Estimates Among ICU Clinicians Caring for Patients Requiring Prolonged Mechanical Ventilation","Inclusion Criteria:\n\n* ICU day-shift attending physician, fellow physician, advanced practice provider, or nurse\n* Caring directly for a patient who requires invasive mechanical ventilation, 14-16 days after initial intubation, not actively transitioning to comfort-focused care and not with a neuromuscular disease (i.e. ALS) as a cause of respiratory failure.\n\nExclusion Criteria:\n\n* None","ALL",{"count":123,"type":124},238,"ESTIMATED","INTERVENTIONAL",[127],"NA","One challenge with decision making for mechanically ventilated is that their prognosis is often uncertain. The ProVent-14 score incorporates clinical variables measured on the 14th day of mechanical ventilation to predict risk of death in one year. The ProVent-14 is easy to calculate has been externally validated. However, it is unclear how often clinicians use the ProVent-14 score to predict long-term outcomes for patients requiring 14 days of mechanical ventilation or if it helps clinicians make more accurate predictions. The purpose of this study is to determine whether ICU clinicians who receive a patient's ProVent-14 score make more accurate predictions for mortality at one year than ICU clinicians who do not.",[130],"Mechanical Ventilation","2026-09-23",{"date":133,"type":134},"2026-09-28","ACTUAL",{"date":136,"type":134},"2024-06-18",{"date":138,"type":124},"2027-06-15",{"name":5,"class":6},3]