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
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.
調査の概要
研究の種類
入学 (推定)
段階
- 適用できない
連絡先と場所
研究連絡先
- 名前：ELIF PAKLACI YORMAZ, MSc
- 電話番号：+9021261010
- メール：elif.paklaci@gmail.com
研究連絡先のバックアップ
- 名前：BESEY OREN, PhD
- 電話番号：+90 216 777 8 777
参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- 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
Exclusion Criteria:
- 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
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：防止
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：独身
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
|
実験的：Intervention Group
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). |
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. |
|
介入なし：Control Group
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. |
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Geriatric Risk Knowledge Level
時間枠：Measured at baseline (T0), immediately post-intervention (T1), 1-month follow-up (T2), and 3-month follow-up (T3) - approximately 4 months total
|
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
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Frailty Status
時間枠：Measured at baseline (T0), immediately post-intervention (T1), 1-month follow-up (T2), and 3-month follow-up (T3) - approximately 4 months total
|
Change in frailty level measured by the Edmonton Frail Scale (EFS). The scale assesses nine domains: cognition, general health status, functional independence, social support, medication use, nutrition, mood, continence, and functional performance. Scores range from 0-17, with higher scores indicating greater frailty. |
Measured at baseline (T0), immediately post-intervention (T1), 1-month follow-up (T2), and 3-month follow-up (T3) - approximately 4 months total
|
協力者と研究者
捜査官
- 主任研究者：ELIF PAKLACI YORMAZ, MSc、Saglik Bilimleri Universitesi
研究記録日
主要日程の研究
研究開始 (推定)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
IPD プランの説明
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.
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。