[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100611088":3},{"organization":4,"armGroups":7,"interventions":66,"overallOfficials":73,"centralContacts":77,"locations":82,"responsibleParty":101,"collaborators":72,"id":104,"slug":105,"hasResults":106,"nctId":107,"briefTitle":108,"officialTitle":109,"acronym":110,"eligibilityCriteria":111,"healthyVolunteers":112,"sex":113,"minAge":114,"maxAge":72,"enrollmentInfo":115,"targetDuration":72,"studyType":118,"phases":119,"briefSummary":121,"conditions":122,"keywords":125,"overallStatus":85,"whyStopped":72,"lastUpdateSubmitDate":128,"lastUpdatePostDateStruct":129,"startDateStruct":132,"completionDateStruct":134,"leadSponsor":136,"locationsCount":137},{"fullName":5,"class":6},"University of Massachusetts, Worcester","OTHER",[8,14,18,22,26,30,34,38,42,46,50,54,58,62],{"label":9,"type":10,"description":11,"interventionNames":12},"Arm 1: Peer message, 7C Construct 1","EXPERIMENTAL","This arm will include messages with a \"peer\" influence as the source and the construct of \"confidence\" as the message.",[13],"Behavioral: Exposure to source and message content",{"label":15,"type":10,"description":16,"interventionNames":17},"Arm 2: Professional source, 7C Construct 1","This arm will include messages with a \"professional\" influencer as the source and the construct of \"confidence\" as the message.",[13],{"label":19,"type":10,"description":20,"interventionNames":21},"Arm 3: Peer message, 7C Construct 2","This arm will include messages with a \"peer\" influence as the source and the construct of \"complacency\" as the message.",[13],{"label":23,"type":10,"description":24,"interventionNames":25},"Arm 4: Professional message, 7C Construct 2","This arm will include messages with a \"professional\" influence as the source and the construct of \"complacency\" as the message.",[13],{"label":27,"type":10,"description":28,"interventionNames":29},"Arm 5: Peer message, 7C Construct 3","This arm will include messages with a \"peer\" influence as the source and the construct of \"constraints\" as the message.",[13],{"label":31,"type":10,"description":32,"interventionNames":33},"Arm 6: Professional message, 7C Construct 3","This arm will include messages with a \"professional\" influencer as the source and the construct of \"constraints\" as the message.",[13],{"label":35,"type":10,"description":36,"interventionNames":37},"Arm 7: Peer message, 7C Construct 4","This arm will include messages with a \"peer\" influencer as the source and the construct of \"calculation\" as the message.",[13],{"label":39,"type":10,"description":40,"interventionNames":41},"Arm 8: Professional message, 7C Construct 4","This arm will include messages with a \"professional\" influencer as the source and the construct of \"calculation\" as the message.",[13],{"label":43,"type":10,"description":44,"interventionNames":45},"Arm 9: Peer message, 7C Construct 5","This arm will include messages with a \"peer\" influencer as the source and the construct of \"collective responsibility\" as the message.",[13],{"label":47,"type":10,"description":48,"interventionNames":49},"Arm 10: Professional message, 7C Construct 5","This arm will include messages with a \"professional\" influencer as the source and the construct of \"collective responsibility\" as the message.",[13],{"label":51,"type":10,"description":52,"interventionNames":53},"Arm 11: Peer message; 7C Construct 6","This arm will include messages with a \"peer\" influencer as the source and the construct of \"compliance\" as the message.",[13],{"label":55,"type":10,"description":56,"interventionNames":57},"Arm 12: Professional message, 7C Construct 6","This arm will include messages with a \"professional\" influencer as the source and the construct of \"compliance\" as the message.",[13],{"label":59,"type":10,"description":60,"interventionNames":61},"Arm 13: Peer message, 7C Construct 7","This arm will include messages with a \"peer\" influencer as the source and the construct of \"conspiracy\" as the message.",[13],{"label":63,"type":10,"description":64,"interventionNames":65},"Arm 14: Professional message, 7C Construct 7","This arm will include messages with a \"professional\" influencer as the source and the construct of \"conspiracy\" as the message.",[13],[67],{"type":68,"name":69,"description":70,"armGroupLabels":71,"otherNames":72},"BEHAVIORAL","Exposure to source and message content","Within each arm, participants will be exposed to two messages each of which are delivered by the same source (peer or professional) and have message content related to one of the 7C Constructs.",[47,51,55,59,63,9,15,19,23,27,31,35,39,43],null,[74],{"name":75,"affiliation":5,"role":76},"Grace W Ryan, PhD, MPH","PRINCIPAL_INVESTIGATOR",[78],{"name":75,"role":79,"phone":80,"phoneExt":72,"email":81},"CONTACT","508-859-0179","grace.ryan1@umassmed.edu",[83],{"facility":84,"status":85,"city":86,"state":87,"zip":88,"country":89,"countryCode":90,"cosmosGeoPoint":91,"geoPoint":96,"contacts":97},"University of Massachusetts Chan Medical School","RECRUITING","Worcester","Massachusetts","01605","United States","US",{"type":92,"coordinates":93},"Point",[94,95],-71.80229,42.26259,{"lat":95,"lon":94},[98],{"name":99,"role":79,"phone":80,"phoneExt":72,"email":100},"Grace Assistant Professor, PhD, MPH","arise@umassmed.edu",{"type":76,"investigatorFullName":102,"investigatorTitle":103,"investigatorAffiliation":5,"oldNameTitle":72,"oldOrganization":72},"Grace Ryan","Assistant Professor","100611088","arise-at-umass-chan-100611088",false,"NCT07236034","ARISe at UMass Chan","ARISe at UMass Chan: Remote Eye Tracking Study of Vaccine Messaging in Rural Populations","ARISe","Inclusion Criteria:\n\n* Age 18+\n* Living in New England state (CT, MA, ME, NH, VT RI) in a zip code as defined by each individual state's definition of rural\n* Able to read and write in English\n* Access to an internet connected computer or laptop with a web-camera\n\nExclusion Criteria:\n\n* N\u002FA",true,"ALL","18 Years",{"count":116,"type":117},700,"ESTIMATED","INTERVENTIONAL",[120],"NA","The goal is to identify the most impactful strategies for capturing attention and enhancing effectiveness of vaccine promotion messages. This will be done using an online survey that employs remote eye-tracking and self report measures to evaluate response to sample vaccine promotion social media content in rural populations in New England. Participants will be randomly assigned into one of 14 conditions in a 2(source: expert vs. influencer) by 7 (themes: constructs from 7C Vaccine Framework) experiment and view sample messages and then answer questions about their attitudes and beliefs while being monitored for eye-tracking.",[123,124],"Vaccination","Vaccination Promotion",[126,123,127],"Message perceptions","Immunization","2025-12-18",{"date":130,"type":131},"2025-12-22","ACTUAL",{"date":133,"type":131},"2025-12-01",{"date":135,"type":117},"2026-09-30",{"name":5,"class":6},1]