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NCT07458997
Usability Evaluation of Gen AI-based Nutrition Chatbot for Pregnant Women
NA trial testing a culturally tailored nutrition AI chatbot for pregnant women in Diabetes, Gestational in 100 participants. Not yet recruiting.
31 January 2027
Quick facts
| Lead sponsor | Hong Kong Metropolitan University |
|---|---|
| Phase | NA |
| Status | Not yet recruiting |
| Study type | INTERVENTIONAL |
| Allocation | non randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | supportive care |
| Enrollment | 100 |
| Start date | 1 June 2026 |
| Primary completion | 31 January 2027 |
| Estimated completion | 31 January 2027 |
| Sites | 1 location across Hong Kong |
Drugs / interventions tested
- a culturally tailored nutrition AI chatbot for pregnant women
Conditions studied
- Diabetes, Gestational — all drugs for Diabetes, Gestational →
- Pre-eclampsia — all drugs for Pre-eclampsia →
- AI Chatbot for Prenatal Nutrition Guidance — all drugs for AI Chatbot for Prenatal Nutrition Guidance →
Sponsor
Hong Kong Metropolitan University
Who can join
18 and older, female only, with Diabetes, Gestational or Pre-eclampsia. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Background: Pregnancy imposes significant physical demands, with complications like gestational diabetes (GDM) and pre-eclampsia posing serious risks. Nutrition is crucial for mitigation, but accessing reliable guidance remains challenging. This study evaluates the feasibility of an AI chatbot providing nutritional guidance for managing these conditions. Methods: In a quasi-experimental design, 100 pregnant women will self-select into either the intervention group (n=50, using an AI chatbot) or control group (n=50, receiving standard care). The primary outcome is usability measured by the System Usability Scale (SUS) at 12 weeks, with an expected mean difference of ≥13 points. Secondary outcomes include technology acceptance (Technology Acceptance Model), user engagement, information accuracy, and changes in dietary knowledge/behaviors. Quantitative data will be analyzed using intention-to-treat and t-tests. Semi-structured interviews with 20 participants will explore user experiences through thematic analysis. Expected Results: The AI chatbot is anticipated to demonstrate superior usability and high user acceptance (TAM \>5.0/7), with improvements in dietary knowledge and behavior. Qualitative findings will provide insights into benefits, barriers, and engagement factors. Conclusion: This study will establish an evidence base on AI chatbot feasibility and acceptance for prenatal nutrition, informing tool optimization and future large-scale trials.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07458997
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Related trials
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Currently open trials in the same condition.
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- NCT03607799 — A Culturally-tailored Personalized Nutrition Intervention in South Asian Women at Risk of Gestational Diabetes · NA · active not recruiting
- NCT04060056 — Westlake Precision Birth Cohort · NA · active not recruiting
- NCT03681054 — Dietary Management of Gestational Diabetes · NA · active not recruiting
Other Hong Kong Metropolitan University trials
Trials by the same sponsor.
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- NCT07503535 — Mindful Simulation Training in Palliative Care Education for Nursing Students · NA · active not recruiting
- NCT07372872 — Feasibility Testing of the "MyGlucoCare" Smartphone App for Women With Gestational Diabetes · NA · not yet recruiting
- NCT07369661 — A Brief Self-compassion Intervention for Body Image, Minority Stress, and Sexual Self-efficacy in Hong Kong Gay Men · NA · not yet recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07458997 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Hong Kong Metropolitan University
- Last refreshed: 9 March 2026
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07458997.
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