NCT07547358

Brief Summary

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. The 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). The 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. The 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.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
66

participants targeted

Target at P50-P75 for not_applicable

Timeline
5mo left

Started Sep 2026

Shorter than P25 for not_applicable

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

April 17, 2026

Completed
6 days until next milestone

First Posted

Study publicly available on registry

April 23, 2026

Completed
4 months until next milestone

Study Start

First participant enrolled

September 1, 2026

Expected
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 1, 2026

3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

February 1, 2027

Last Updated

April 23, 2026

Status Verified

April 1, 2026

Enrollment Period

2 months

First QC Date

April 17, 2026

Last Update Submit

April 17, 2026

Conditions

Keywords

frailtyOlder AdultsDigital Health EducationBranching Scenario Animation

Outcome Measures

Primary Outcomes (1)

  • Geriatric Risk Knowledge Level

    Change in knowledge score related to geriatric health risks (falls, medication management, nutrition, cognitive health, social engagement) assessed using an interactive digital game called "Knowledge Wheel". The assessment evaluates participants' understanding of risk factors, prevention strategies, and health-promoting behaviors based on Health Belief Model components.

    Measured at baseline (T0), immediately post-intervention (T1), 1-month follow-up (T2), and 3-month follow-up (T3) - approximately 4 months total

Secondary Outcomes (1)

  • Frailty Status

    Measured at baseline (T0), immediately post-intervention (T1), 1-month follow-up (T2), and 3-month follow-up (T3) - approximately 4 months total

Study Arms (2)

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).

Behavioral: Branching Scenario Animation Education

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.

Interventions

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.

Intervention Group

Eligibility Criteria

Age65 Years+
Sexall
Healthy VolunteersNo
Age GroupsOlder Adult (65+)

You may qualify if:

  • Aged 65 years or older
  • Ability to speak and understand Turkish
  • Minimum literacy level (able to read and write)
  • Mini-Mental State Examination (MMSE) score ≥ 24
  • No visual or auditory impairment, or ability to compensate for such impairments with assistive devices
  • Ability to interact with digital devices such as smartphones or tablets at a basic level

You may not qualify if:

  • Diagnosis of cognitive impairment or dementia
  • WITHDRAWAL CRITERIA:
  • Participants will be withdrawn from the study if:
  • Serious health problems occur during any phase of the study or death occurs
  • Perception or compliance problems are identified during sessions
  • The participant fails to attend at least one educational session

Contact the study team to confirm eligibility.

Sponsors & Collaborators

MeSH Terms

Conditions

Frailty

Condition Hierarchy (Ancestors)

Pathologic ProcessesPathological Conditions, Signs and Symptoms

Central Study Contacts

ELIF PAKLACI YORMAZ, MSc

CONTACT

BESEY OREN, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
Data analysts will be blinded to group allocation during statistical analysis.
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: This is a parallel-group randomized controlled trial with repeated measures at four time points: baseline (T0), immediate post-intervention (T1), 1-month follow-up (T2), and 3-month follow-up (T3). Participants will be randomly assigned to intervention or control groups using block randomization (1:1 allocation ratio). The intervention group will receive branching scenario-based digital animation education, while the control group will receive standard nursing home care during the study period. After completion of all assessments (post-T3), the control group will be offered the same educational intervention. The study evaluates both immediate and sustained effects of the digital education model on geriatric risk knowledge and frailty.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Lecturer

Study Record Dates

First Submitted

April 17, 2026

First Posted

April 23, 2026

Study Start (Estimated)

September 1, 2026

Primary Completion (Estimated)

November 1, 2026

Study Completion (Estimated)

February 1, 2027

Last Updated

April 23, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share

Individual participant data will not be shared due to privacy protection regulations under Turkish Personal Data Protection Law (KVKK) and institutional ethics committee restrictions. The study involves vulnerable population (older adults in nursing homes) with sensitive health information. Aggregate results and findings will be disseminated through peer-reviewed publications and conference presentations.