Smart Nursing AI Agent for Health Self-Management
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age50+
SponsorNational Yang Ming Chiao Tung University
About this trial
This study aims to develop and evaluate a smart nursing AI agent to support health self-management among middle-aged and older patients, and further to examine its effectiveness in home care and health self-management. The goal is to propose innovative strategies for middle-aged and older care that enhance the quality of home care and strengthen patients' health self-management abilities. A randomized controlled trial design will be adopted, with a planned enrollment of 102 participants. Participants will be randomly assigned to either the experimental group or the control group. Regardless of group assignment, their routine medical care will remain unchanged. Both groups will participate in the study for 12 weeks (8 weeks of intervention and 4 weeks of follow-up), with identical frequency and number of follow-ups, interviews, and evaluations. The experimental group will receive an 8 week intervention using the smart nursing AI agent care model, which provides daily interaction, reminder systems, personalized recommendations, activity monitoring, goal setting, motivational support, and health self-management education. The control group will continue with the existing standard health education approach. Data collection will include demographic information, medical history, physiological indicators, functional activity measures (e.g., steps, distance, exercise duration), sarcopenia screening, nutritional assessment, physical activity levels, health self-management ability, health literacy, quality of life, and digital usage behaviors. Statistical analyses will be conducted to evaluate the effectiveness, feasibility, and acceptability of the intervention.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients aged 50 years or older who present with mobility limitations such as gait instability, sarcopenia, joint degeneration, chronic pain, or functional decline
Able to ambulate
Alert and oriented
Disqualifiers
Terminal cancer or major illness with a prognosis of left 6 months
Moderate to severe dementia or language expression disorders
Individuals with significant audiovisual impairments that prevent AI conversation
Unable to complete walking tests on their own
Trial design
Design model
Parallel
Treatments tested in this trial
Smart Nursing AI Agent
BehavioralSmart Nursing AI Agent which provides daily interaction, reminder systems, personalized recommendations, activity monitoring, goal setting, motivational support, and health self-management education.
Treatment groups
102 Participants
are divided into 2 treatment groupsGroup A: Smart nursing AI agent groupExperimental treatment 1 intervention
Group B: Existing standard groupNo intervention 0 interventions
Trial outcomes
Primary outcomes
1
Change from baseline in Sarcopenia (SARC-F) questionnaire score at 3 months
The SARC-F questionnaire is a rapid, 5-question clinical screening tool. The tool evaluates five key components of functional decline (Strength, Assistance with walking, Rise from a chair, Climb stairs, Falls). For each question, patients score between 0 (None) and 2 (A lot or unable or ≧ 4 falls) depending on the severity of their limitation.
Time frame
Baseline and 3 months2
Change from baseline in Mini Nutritional Assessment (MNA) score at 3 months
The Mini Nutritional Assessment (MNA) is a validated, 6-question screening tool used to quickly identify adults aged 65 and older who are malnourished or at risk of malnutrition.The tool uses a scoring system with a maximum of 14 points. The score determines the individual's nutritional category:12 to 14 points is normal nutritional status, 8 to 11 points is risk of malnutrition, and 0 to 7 points is malnourished.
Time frame
Baseline and 3 months3
Change from baseline in International Physical Activity Questionnaire-Short Form (IPAQ-SF) score (MET-minutes/week) at 3 months
The International Physical Activity Questionnaire-Short Form (IPAQ-SF) is a widely used, 7-item survey designed to measure health-related physical activity and sedentary behavior. It evaluates time spent walking, as well as moderate and vigorous-intensity activities over the last 7 days. The score is expressed as metabolic equivalent tasks (MET)-minutes per week, calculated by multiplying the MET level of an activity (walking, moderate, or vigorous) by its duration and frequency. Higher MET-minutes/week values indicate higher levels of physical activity.
Time frame
Baseline and 3 months4
Change from baseline in daily step count at 1 and 2 months
This measure assesses the physical activity level of participants based on the average number of daily steps. Data are automatically tracked and collected via the platform's backend system using the designated JoiiCare mobile application.
Time frame
Baseline, 1 and 2 MonthsSecondary outcomes
1
Change from baseline in digital platform stickiness (average daily app usage time) at 1 and 2 months
This measure evaluates participant engagement and stickiness with the digital platform, quantified as the average frequency or duration of app usage. Data are automatically tracked and retrieved from the JoiiCare mobile application backend system.
Time frame
Baseline, 1 and 2 Months2
User satisfaction was assessed two months after the experimental group was administered
This survey is designed to assess participants' perceptions and evaluations of software usability. It comprises 10 items, with response options ranging from 1 (Strongly Disagree) to 5 (Strongly Agree).
Time frame
2 months3
Change from baseline in health education completion rate (percentage) at 1 and 2 months
This measure assesses the percentage of assigned digital health education materials or modules successfully completed by the participant. The rate is expressed as a percentage (0% to 100%), with higher percentages indicating better compliance. Data are compiled via the JoiiCare backend database.
Time frame
Baseline, 1 and 2 Months4
Change from baseline in task adherence rate (percentage) at 1 and 2 months
This measure tracks the participant's adherence to scheduled nursing or health tasks on the digital platform. It is calculated as the ratio of completed tasks to total assigned tasks, expressed as a percentage (0% to 100%). A higher percentage indicates greater adherence. Data are automatically logged by the JoiiCare backend system.
Time frame
Baseline, 1 and 2 MonthsSponsors and contacts
Click on the lead sponsor to view all of their trials.
National Yang Ming Chiao Tung University
Lead sponsor
Taichung Veterans General Hospital
Collaborator
Source ClinicalTrials.gov
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