[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100635028":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":18,"centralContacts":25,"locations":18,"responsibleParty":34,"collaborators":18,"id":38,"slug":39,"hasResults":40,"nctId":41,"briefTitle":42,"officialTitle":43,"acronym":18,"eligibilityCriteria":44,"healthyVolunteers":40,"sex":45,"minAge":46,"maxAge":18,"enrollmentInfo":47,"targetDuration":18,"studyType":50,"phases":51,"briefSummary":53,"conditions":54,"keywords":58,"overallStatus":63,"whyStopped":18,"lastUpdateSubmitDate":64,"lastUpdatePostDateStruct":65,"startDateStruct":68,"completionDateStruct":70,"leadSponsor":72,"locationsCount":18},{"fullName":5,"class":6},"Saglik Bilimleri Universitesi","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Intervention Group","EXPERIMENTAL","Participants will receive branching scenario-based digital animation education developed using Vyond platform and structured according to Health Belief Model components. The education addresses geriatric health risks including falls, malnutrition, polypharmacy, and cognitive decline through interactive scenarios. Assessments will be conducted at baseline (T0), immediate post-intervention (T1), 1-month follow-up (T2), and 3-month follow-up (T3).",[13],"Behavioral: Branching Scenario Animation Education",{"label":15,"type":16,"description":17,"interventionNames":18},"Control Group","NO_INTERVENTION","Participants will receive standard nursing home care during the study period. No additional educational intervention will be provided during the study. The same digital animation education will be offered after completion of all assessments (post 3-month follow-up). Assessments will be conducted at baseline (T0), T1, T2, and T3 time points.",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"BEHAVIORAL","Branching Scenario Animation Education","An interactive digital education program developed on Vyond animation platform, based on Health Belief Model framework. The program includes branching scenarios on geriatric health risks (falls, nutrition, medication safety, cognitive health, social engagement). Participants make choices within scenarios and receive personalized feedback. Each session lasts approximately 30-45 minutes. The intervention uses interactive storytelling to enhance engagement and knowledge retention among older adults.",[9],[26,31],{"name":27,"role":28,"phone":29,"phoneExt":18,"email":30},"ELIF PAKLACI YORMAZ, MSc","CONTACT","+9021261010","elif.paklaci@gmail.com",{"name":32,"role":28,"phone":33,"phoneExt":18,"email":18},"BESEY OREN, PhD","+90 216 777 8 777",{"type":35,"investigatorFullName":36,"investigatorTitle":37,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Elif Paklacı Yormaz","Lecturer","100635028","effect-of-animation-based-digital-education-on-risk-knowledge-and-frailty-in-older-adults-100635028",false,"NCT07547358","EFFECT OF ANIMATION-BASED DIGITAL EDUCATION ON RISK KNOWLEDGE AND FRAILTY IN OLDER ADULTS","THE IMPACT OF A DIGITAL TRAINING MODEL DEVELOPED USING ANIMATION TECHNIQUE ON RISK KNOWLEDGE LEVEL AND FRAILTY AMONG OLDER ADULTS","Inclusion Criteria:\n\n* Aged 65 years or older\n* Ability to speak and understand Turkish\n* Minimum literacy level (able to read and write)\n* Mini-Mental State Examination (MMSE) score ≥ 24\n* No visual or auditory impairment, or ability to compensate for such impairments with assistive devices\n* Ability to interact with digital devices such as smartphones or tablets at a basic level\n\nExclusion Criteria:\n\n* Diagnosis of cognitive impairment or dementia\n\nWITHDRAWAL CRITERIA:\n\n* Participants will be withdrawn from the study if:\n* Serious health problems occur during any phase of the study or death occurs\n* Perception or compliance problems are identified during sessions\n* The participant fails to attend at least one educational session","ALL","65 Years",{"count":48,"type":49},66,"ESTIMATED","INTERVENTIONAL",[52],"NA","With the global aging trend, the management of geriatric risks faced by older adults and the effectiveness of health education for this population are gaining increasing importance. Literature indicates that health education for older adults, when delivered through methods that support individual engagement and the use of digital tools, yields more effective results in terms of learning and behavior change. This doctoral study aims to evaluate the effect of a digital education model, structured based on the Health Belief Model and developed using branching scenario animation technique, on geriatric risk knowledge level and frailty status among older adults residing in nursing homes.\n\nThe study will be conducted as a randomized controlled trial in three nursing homes in Istanbul, with measurements at baseline (T0), immediately post-intervention (T1), 1-month follow-up (T2), and 3-month follow-up (T3). Based on power analysis, 66 participants will be randomly assigned to intervention and control groups (33 per group) using block randomization. The intervention group will receive scenario-based digital animation education developed on the Vyond platform and structured according to the theoretical components of the Health Belief Model. The control group will receive standard care during the study period and will be offered the same digital animation education after completion of all assessments (post 3-month follow-up).\n\nThe primary outcome is geriatric risk knowledge level, assessed using an interactive digital game called \"Knowledge Wheel.\" Secondary outcomes include frailty status, measured by the Edmonton Frail Scale, and technology acceptance. Changes in knowledge and frailty levels measured through assessment tools will reveal the short- and medium-term effects of the education. Thus, the model's impact on health-related behavior change in older adults will be comprehensively evaluated.\n\nThe unique aspect of this study is that it will be one of the first experimental studies to implement an interactive scenario-based digital education model in older adults. The findings are expected to contribute to the development of age-friendly health education models.",[55,56,57],"Aging","Frail Elderly","Geriatric Syndromes",[59,60,61,62],"frailty","Older Adults","Digital Health Education","Branching Scenario Animation","NOT_YET_RECRUITING","2026-04-17",{"date":66,"type":67},"2026-04-23","ACTUAL",{"date":69,"type":49},"2026-09-01",{"date":71,"type":49},"2027-02-01",{"name":5,"class":6}]