NCT07577284

Brief Summary

This randomized clinical trial aims to evaluate whether an AI chatbot-enabled, nurse-led electronic patient-reported outcome (ePRO) intervention can improve symptom management and self-care in adults with early-stage cardiovascular-kidney-metabolic (CKM) syndrome. The study will also assess the safety and feasibility of the intervention. Researchers will investigate whether the program reduces symptom burden, improves patient activation and health literacy, and lowers healthcare utilization such as emergency department visits and hospitalizations compared with usual ePRO monitoring alone. A total of 72 participants will be randomly assigned to either an intervention group, which receives weekly AI chatbot-supported symptom monitoring combined with nurse-led feedback and self-management support, or a control group receiving ePRO monitoring without feedback. Participants will complete PROMIS-29 assessments weekly and attend study evaluations at baseline, 3 months, and 6 months, while clinical outcomes and healthcare use are tracked through electronic medical records.

Trial Health

63
Monitor

Trial Health Score

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

Enrollment
72

participants targeted

Target at P50-P75 for not_applicable

Timeline
38mo left

Started May 2026

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

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

Study Progress1%
May 2026Jul 2029

First Submitted

Initial submission to the registry

April 23, 2026

Completed
18 days until next milestone

First Posted

Study publicly available on registry

May 11, 2026

Completed
19 days until next milestone

Study Start

First participant enrolled

May 30, 2026

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 31, 2027

Expected
2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

July 31, 2029

Last Updated

May 11, 2026

Status Verified

May 1, 2026

Enrollment Period

1.2 years

First QC Date

April 23, 2026

Last Update Submit

May 5, 2026

Conditions

Keywords

artificial intelligenceChatbotelectronic patient-reported outcomespatient activationrandomized controlled trialcardiovascular kidney metabolic syndrome

Outcome Measures

Primary Outcomes (1)

  • PROMIS-29 v2.1

    Symptom burden will be evaluated using the PROMIS-29 v2.1 Traditional Chinese version (31). This instrument comprises 29 items across seven domains: Physical Function, Depression, Anxiety, Fatigue, Sleep Disturbance, Social Participation, and Pain (Intensity and Interference). Most items are rated on a 5-point Likert scale (1-5), with a single pain intensity item scored from 0 to 10. Domain scores are summed and converted to standardized T-scores ranging from 0 to 100, with higher scores indicating greater symptom severity

    Baseline, 3 months, and 6 months after randomization

Secondary Outcomes (4)

  • PAM-13

    Baseline, 3 months, and 6 months.

  • MMHLQ

    Baseline, 3 months, and 6 months.

  • Number of emergency department visit

    Baseline, 3 months, and 6 months.

  • Hospitalizations

    Baseline, 3 months, and 6 months

Study Arms (2)

AI chatbot-enabled nurse-led program

EXPERIMENTAL
Other: AI chatbot-enabled nurse-led program.

Control group

OTHER

Usual care based on standard outpatient follow-up, without access to the AI chatbot or nurse-led coordination

Other: Usual Care

Interventions

Usual care based on standard outpatient follow-up, without access to the AI chatbot or nurse-led coordination

Control group

Participants in the intervention group will receive a six-month nurse-led, AI chatbot-enabled symptom monitoring and self-management program integrating weekly ePRO assessments. The intervention begins with a structured nurse-led intake session including CKM assessment, symptom review, goal setting, and training on chatbot use. Participants complete weekly PROMIS-29 v2.1 assessments via a smartphone-based chatbot, which provides automated, rule-based feedback, self-management guidance, and motivational prompts. A risk-stratification algorithm generates alerts when symptom deterioration is detected. Nurses review alerts daily and provide follow-up via messaging, teleconsultation, or referral depending on severity, with same-day escalation for high-risk symptoms.

AI chatbot-enabled nurse-led program

Eligibility Criteria

Age40 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Adults ≥40 years
  • Classified as having stage CKM syndrome (stage 1-2)
  • Receiving outpatient care
  • Able to communicate in Mandarin/Taiwanese, and
  • Having access to a smartphone/tablet

You may not qualify if:

  • End-stage kidney disease requiring dialysis or are listed for kidney transplantation
  • Have terminal illness (\<6 months life expectancy)
  • Have significant cognitive impairment
  • Currently enrolled in another interventional study targeting cardiovascular-kidney-metabolic syndrome or multimorbidity

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Taipei Medical University

Taipei, No. 250號, Wuxing St, Xinyi District, Taipei City, 110, Taiwan

Location

MeSH Terms

Conditions

Patient Participation

Condition Hierarchy (Ancestors)

Patient Acceptance of Health CareTreatment Adherence and ComplianceHealth BehaviorBehavior

Central Study Contacts

Pei Shan Tsai, PhD in Nursing

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
Outcome assessors and data analysts are all blinded to group assignments.
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Model Details: Participants in the intervention arm will receive a 6-month AI chatbot-supported, nurse-led symptom monitoring and self-management program using ePROs. The intervention begins with a 45-60-minute nurse-led intake session involving clinical assessment, individualized goal setting, and orientation to the chatbot system, followed by device setup and scheduling. The AI chatbot delivers weekly PROMIS-29 (Traditional Chinese version) ePRO assessments via smartphone or tablet, with automated individualized feedback, reinforcement of self-management goals, and brief motivational interviewing-based prompts. Additional brief check-ins may be triggered in response to symptom deterioration or non-adherence. The system functions as a decision-support tool using predefined risk thresholds to enable symptom stratification and nurse-led escalation when required.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

April 23, 2026

First Posted

May 11, 2026

Study Start

May 30, 2026

Primary Completion (Estimated)

July 31, 2027

Study Completion (Estimated)

July 31, 2029

Last Updated

May 11, 2026

Record last verified: 2026-05

Data Sharing

IPD Sharing
Will not share

Individual participant data (IPD) will not be publicly shared due to ethical and privacy considerations. However, de-identified datasets may be made available to qualified researchers upon reasonable request after publication, subject to approval by the corresponding author and the Institutional Review Board (IRB) of Taipei Medical University. Data sharing will comply with institutional policies and applicable data protection regulations

Locations