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Development and Effectiveness Study of Large Language Model powered Human-Machine Dialogue Intervention for Advance Care Planning

Development and Effectiveness Study of Large Language Model powered Human-Machine Dialogue Intervention for Advance Care Planning

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400091022
Enrollment
Unknown
Registered
2024-10-18
Start date
2024-11-01
Completion date
Unknown
Last updated
2024-10-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

chronic disease

Interventions

Intervention group:an LLM-based ACP chatbot
Control group:a ACP knowledge manual

Sponsors

Xiangya School of Nursing, Central South University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1) be adults aged 18 years or older; 2) be proficient in smartphone; 3) possess decision-making capacity and able to give informed consent.

Exclusion criteria

Exclusion criteria: 1) a diagnosis of mental disorders or communication impairments, 2) prior participation in other ACP trainings.

Design outcomes

Primary

MeasureTime frame
ACP competence;ACP readiness;

Secondary

MeasureTime frame
ACP self-efficacy;ACP Decisional Balance;Processes of Change of ACP;

Countries

China

Contacts

Public ContactJinfeng Ding; Minghui Tan

Xiangya School of Nursing, Central South University

jinfeng.ding@csu.edu.cn+86 187 1100 0745

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026