Feasibility and Effectiveness of an AI-Powered Carbohydrate Counting Educational Platform to Support Parents of Children With Type 1 Diabetes (CARB-AI)
Feasibility and Effectiveness of an AI-Powered Carbohydrate Counting Educational Platform to Support Parents of Children With Type 1 Diabetes: A Multicentre Randomized Controlled Trial
The goal of this clinical trial is to learn whether an AI-powered carbohydrate counting educational platform can help parents of children with type 1 diabetes improve their carbohydrate counting skills and diabetes management. The study will include parents or primary caregivers of children aged 2-12 years with type 1 diabetes.
The main questions it aims to answer are:
- Is the AI-powered educational platform feasible, acceptable, and easy for parents to use?
- Can the platform improve carbohydrate counting accuracy, parental confidence in diabetes management, and diabetes outcomes compared with usual education alone?
Researchers will compare parents who receive access to the AI-powered carbohydrate counting educational platform plus usual diabetes education with parents who receive usual diabetes education alone to see whether the AI-supported approach provides additional benefits.
Participants will:
- Complete baseline assessments, including questionnaires and a carbohydrate counting test.
- Be randomly assigned to either the AI-supported education group or the usual education group.
- Use the assigned educational resources for 12 weeks.
- Complete a follow-up assessment at 6 weeks and a final assessment at 12 weeks.
- Provide information about their child's diabetes management, including HbA1c and glucose monitoring data.
- Complete questionnaires about confidence, usability, and satisfaction with the educational support they receive.
The AI platform is designed to provide educational support only and does not replace medical advice, insulin dosing decisions, or routine diabetes care provided by healthcare professionals.
調査の概要
詳細な説明
This multicentre randomized controlled feasibility trial will evaluate an AI-powered educational platform designed to support carbohydrate counting education for parents of children with type 1 diabetes (T1D). Accurate carbohydrate counting is an essential component of T1D management because insulin dosing is closely linked to carbohydrate intake. However, many parents experience challenges in estimating carbohydrate content accurately, which may affect glycemic control.
The intervention uses conversational artificial intelligence to provide personalized educational support, interactive learning opportunities, and practical guidance related to carbohydrate counting. The platform is intended as an educational tool and does not provide medical advice or insulin dosing recommendations. Educational content and safety oversight are provided by pediatric endocrinologists, diabetes educators, and registered dietitians.
The primary objective of this feasibility study is to evaluate recruitment, retention, participant engagement, intervention adherence, and data collection procedures to determine whether a future definitive efficacy trial is warranted. Secondary objectives include assessment of participant acceptability and usability, as well as exploration of preliminary effects on carbohydrate counting accuracy, parental diabetes management self-efficacy, and glycemic outcomes.
Participants will be recruited from our pediatric diabetes centers, and randomized to receive either access to the AI-powered educational platform in addition to enhanced usual care or enhanced usual care alone. Study findings will inform the development of larger trials evaluating the role of conversational artificial intelligence in diabetes education and chronic disease self-management.
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：Zainab Al-Abadla, BSN, MSc, BC-ADM
- 電話番号：00971554001640
- メール：Zainab.alabadla@dubaihealth.ae
研究連絡先のバックアップ
- 名前：Hussain Alsaffar, FACE, MSc, FRCPCH
- 電話番号：+96896399402
- メール：hussaina@squ.edu.om
参加基準
適格基準
就学可能な年齢
- 子
- 大人
- 高齢者
健康ボランティアの受け入れ
説明
Inclusion Criteria:
- Primary responsibility for carbohydrate counting and insulin dosing decisions for the child
- English-speaking
- Access to a smartphone (iOS or Android) with internet connectivity
- Willing and able to provide informed consent and complete study procedures
- Diagnosis of type 1 diabetes for at least 1 month
- Receiving intensive insulin therapy (multiple daily injections or insulin pump)
- Using carbohydrate counting for insulin dosing
Exclusion Criteria:
- Child has significant developmental delay or a medical condition that substantially alters nutritional requirements or carbohydrate metabolism (e.g., celiac disease, cystic fibrosis)
- Parent or caregiver has significant cognitive impairment that would preclude participation
- Family plans to relocate from the study area during the study period
- Participation in another diabetes intervention study
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：支持療法
- 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：AI-Powered Carbohydrate Counting Educational Platform + Enhanced Usual Care
Participants receive access to an AI-powered carbohydrate counting educational platform in addition to enhanced usual diabetes care.
The platform provides interactive educational support, carbohydrate counting practice, personalized feedback, scenario-based learning, and educational guidance under dietitian and diabetes specialist oversight.
Participants also receive standard diabetes education materials and routine clinical care for 12 weeks.
|
Participants will receive access to an AI-powered carbohydrate counting educational platform designed for parents of children with type 1 diabetes.
The platform provides interactive carbohydrate counting education, personalized educational guidance, carbohydrate estimation practice, natural-language question answering, and scenario-based learning.
Participants will use the platform for 12 weeks in addition to enhanced usual diabetes care.
All educational content is developed and supervised by pediatric endocrinologists, certified diabetes educators, and registered dietitians.
The platform functions as an educational support tool only and does not provide medical advice or insulin dosing recommendations.
|
|
介入なし：Enhanced Usual Care Alone
Participants receive enhanced usual diabetes care consisting of standard diabetes education provided by their clinical care team, printed carbohydrate counting educational materials, portion size reference materials, educational PDF resources, and routine clinical care.
Participants do not receive access to the AI-powered carbohydrate counting educational platform
|
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 |
|---|---|---|
|
Recruitment Rate
時間枠：12 months
|
Number and proportion of eligible participants recruited into the study across participating sites.
|
12 months
|
|
Retention Rate
時間枠：12 weeks
|
Proportion of enrolled participants who complete the 12-week follow-up assessment.
|
12 weeks
|
|
Intervention Adherence
時間枠：12 weeks
|
Proportion of participants in the intervention group who engage with the AI-powered carbohydrate counting educational platform for at least 10 sessions during the study period.
|
12 weeks
|
|
Data Completeness
時間枠：12 weeks
|
Proportion of participants with complete primary outcome data collected at baseline and 12-week follow-up assessments.
|
12 weeks
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Acceptability of Intervention Measure
時間枠：12 weeks
|
Participant-rated acceptability of the AI-powered carbohydrate counting educational platform using the validated 4-item Acceptability of Intervention Measure.
|
12 weeks
|
|
Carbohydrate Counting Accuracy
時間枠：Baseline and 12 weeks
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Change in carbohydrate counting accuracy assessed using a standardized carbohydrate counting assessment.
Accuracy will be defined as the percentage of estimates within 20% of dietitian-calculated carbohydrate values.
|
Baseline and 12 weeks
|
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Time in Range (70-180 mg/dL)
時間枠：Baseline and 12 weeks
|
Percentage of time glucose values remain within the target range of 70-180 mg/dL based on continuous glucose monitoring or glucose meter data.
|
Baseline and 12 weeks
|
|
Glucose Variability
時間枠：Baseline and 12 weeks
|
Change in glucose variability measured by coefficient of variation of glucose values.
|
Baseline and 12 weeks
|
|
System Usability Scale
時間枠：12 weeks
|
Participant-rated usability of the AI-powered carbohydrate counting educational platform measured using the System Usability Scale (SUS), a validated 10-item questionnaire.
The SUS total score ranges from 0 to 100, with higher scores indicating better perceived usability.
|
12 weeks
|
|
Net Promoter Score
時間枠：12 weeks
|
Participant likelihood of recommending the AI-powered carbohydrate counting educational platform to other parents of children with type 1 diabetes, measured using the Net Promoter Score (NPS).
Participants rate their likelihood of recommending the platform on a scale from 0 (Not at all likely) to 100 (Extremely likely).
Higher scores indicate a greater likelihood of recommending the intervention.
|
12 weeks
|
協力者と研究者
スポンサー
捜査官
- スタディチェア：Moez AlIslam Faris, PhD、Applied Science Private University
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
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