[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100656915":3},{"organization":4,"outcomesModule":7,"designInfo":26,"detailedDescription":33,"studyPopulation":13,"armGroups":34,"interventions":49,"overallOfficials":13,"centralContacts":55,"locations":13,"responsibleParty":61,"collaborators":13,"id":65,"slug":66,"hasResults":67,"nctId":68,"briefTitle":69,"officialTitle":69,"acronym":13,"eligibilityCriteria":70,"healthyVolunteers":67,"sex":71,"minAge":13,"maxAge":13,"enrollmentInfo":72,"targetDuration":13,"studyType":75,"phases":76,"briefSummary":78,"conditions":79,"keywords":13,"overallStatus":82,"whyStopped":13,"lastUpdateSubmitDate":83,"lastUpdatePostDateStruct":84,"startDateStruct":87,"completionDateStruct":89,"leadSponsor":91,"locationsCount":13},{"fullName":5,"class":6},"Geisinger Clinic","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":14},[9],{"measure":10,"description":11,"timeFrame":12},"No showed to appointment (y\u002Fn)","Patient no-showed to the target appointment","1 day (10 days following the message date)",null,[15,19,23],{"measure":16,"description":17,"timeFrame":18},"Canceled or rescheduled more than 2 days pre-appointment (y\u002Fn)","Whether the patient either canceled or rescheduled more than 2 days pre-appointment","On the message date or in the 7 subsequent days (8 days total)",{"measure":20,"description":21,"timeFrame":22},"Canceled or rescheduled 2 or fewer days pre-appointment (y\u002Fn)","Whether the patient either canceled or rescheduled 2 or fewer days pre-appointment","In the 2 days pre-appointment or on the appointment date (3 days total)",{"measure":24,"description":25,"timeFrame":12},"Attended the originally scheduled appointment (y\u002Fn)","Whether or not the patient attended the appointment as originally scheduled",{"allocation":27,"interventionModel":28,"interventionModelDescription":13,"primaryPurpose":29,"observationalModel":13,"timePerspective":13,"maskingInfo":30},"RANDOMIZED","PARALLEL","HEALTH_SERVICES_RESEARCH",{"masking":31,"maskingDescription":32,"whoMasked":13},"NONE","Patients will know what messages they receive if assigned to a message group, but they will not know that other patients get different messages or no messages.","No-shows are a problem for health systems because they prevent appointment slots from being used by other patients waiting to be seen. Canceling at least 48 hours in advance of the appointment time helps ensure improved access for those patients who are waiting, as well as potentially improving the chances that the canceling patients will eventually be seen (by encouraging rescheduling). An algorithm in Epic attempts to predict which patients are at high risk for no-showing to their appointments. In the present initiative, Geisinger will send pre-appointment text messages and\u002For MyChart messages to patients predicted to be at high risk for no-showing to their appointment (\\>50% likely to no-show according to the algorithm).\n\nPrior research suggests that telling patients a vaccine is \"reserved for you\" increases vaccine update (e.g., Milkman et al., 2021). However, it is unclear whether \"reserved for you\" language also motivates other health behaviors, like attending appointments.\n\nThe study team will run an A\u002FB test to assess whether pre-appointment messages can reduce appointment no-shows. One message version will indicate the appointment is \"reserved\" for the patient; another version will be nearly identical but will not include the \"reserved\" language. A passive control group will not be sent messages.\n\nMessages will be sent 10 days pre-appointment via MyChart or text message based on patient communication preferences.\n\nFor the primary analysis, we will include only the first appointment for every unique patient.",[35,39,45],{"label":36,"type":37,"description":38,"interventionNames":13},"Passive control","NO_INTERVENTION","Patient will not be sent a message",{"label":40,"type":41,"description":42,"interventionNames":43},"Message without \"reserved\" language","EXPERIMENTAL","Patient will be sent a message encouraging them to reschedule or cancel their appointment if they cannot attend. This message will NOT state the appointment is reserved for them.",[44],"Behavioral: Message",{"label":46,"type":41,"description":47,"interventionNames":48},"Message with \"reserved\" language","Patient will be sent a message encouraging them to reschedule or cancel their appointment if they cannot attend. This message WILL state the appointment is reserved for them.",[44],[50],{"type":51,"name":52,"description":53,"armGroupLabels":54,"otherNames":13},"BEHAVIORAL","Message","The message will be sent via MyChart or text message depending on communication preferences for each patient.",[46,40],[56],{"name":57,"role":58,"phone":59,"phoneExt":13,"email":60},"Gail Rosenbaum, PhD","CONTACT","570-243-1199","grosenbaum@geisinger.edu",{"type":62,"investigatorFullName":63,"investigatorTitle":64,"investigatorAffiliation":5,"oldNameTitle":13,"oldOrganization":13},"PRINCIPAL_INVESTIGATOR","Gail Rosenbaum","Program Director, Geisinger Behavioral Insights Team","100656915","preventing-no-shows-with-pre-appointment-reserved-for-you-nudges-100656915",false,"NCT07829432","Preventing No-shows With Pre-appointment \"Reserved for You\" Nudges","Inclusion Criteria:\n\n* at least a 50% probability of no-showing for the appointment based on the no-show algorithm\n* eligible to be sent MyChart messages or text messages\n* has an upcoming appointment in 10 days\n\nExclusion Criteria:\n\n* Ancillary visits\n* Nursing visits","ALL",{"count":73,"type":74},17376,"ESTIMATED","INTERVENTIONAL",[77],"NA","The study team will run an A\u002FB test to assess whether pre-appointment messages can reduce appointment no-shows. One message version will indicate the appointment is \"reserved\" for the patient; another version will be nearly identical but will not include the \"reserved\" language. A passive control group will not be sent messages.",[80,81],"Appointment Reminders","Appointment Attendance","NOT_YET_RECRUITING","2026-09-14",{"date":85,"type":86},"2026-09-21","ACTUAL",{"date":88,"type":74},"2026-09",{"date":90,"type":74},"2026-11",{"name":5,"class":6}]