Effectiveness of eHealth on the Self-management of Health Status and QOL Among CAD Patients
1 other identifier
interventional
60
1 country
1
Brief Summary
This article uses the smart medical case management tracking system, combined with various terminal devices to fully record the measured data (pulse, blood pressure) for case home care tracking to prevent the occurrence and deterioration of the disease. Therefore, with the promotion of the eHealth medical staff and members of the family can instantly grasp the health of the body and cultivate the habits of self-health management and enhance the quality of care. Therefore, we hope to use the Smart Health Cloud as an interventional measure to improve the care of patients with coronary artery disease, improve self-management ability and quality of life.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Sep 2019
1 active site
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 Start
First participant enrolled
September 18, 2019
CompletedFirst Submitted
Initial submission to the registry
October 22, 2019
CompletedFirst Posted
Study publicly available on registry
October 31, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 15, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
October 5, 2020
CompletedMarch 3, 2021
March 1, 2021
10 months
October 22, 2019
March 1, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (18)
physiological indicators-HDL-C(T1)
HDL-C, the unit is mg/dL
T1-baseline
physiological indicators-HDL-C(T2)
HDL-C, the unit is mg/dL
T2-three months later
physiological indicators-HDL-C(T3)
HDL-C, the unit is mg/dL
T3-six months later
physiological indicators-LDL-C(T1)
LDL-C, the unit is mg/dL
T1-baseline
physiological indicators-LDL-C(T2)
LDL-C, the unit is mg/dL
T2-three months later
physiological indicators-LDL-C(T3)
LDL-C, the unit is mg/dL
T3-six months later
physiological indicators-Total Cholesterol(T1)
Total Cholesterol, the unit is mg/dL
T1-baseline
physiological indicators-Total Cholesterol(T2)
Total Cholesterol, the unit is mg/dL
T2-three months later
physiological indicators-Total Cholesterol(T3)
Total Cholesterol, the unit is mg/dL
T3-six months later
physiological indicators-Triglyceride(T1)
Triglyceride, the unit is mg/dL
T1-baseline
physiological indicators-Triglyceride(T2)
Triglyceride, the unit is mg/dL
T2-three months later
physiological indicators-Triglyceride(T3)
Triglyceride, the unit is mg/dL
T3-six months later
physiological indicators-GLU(T1)
GLU, the unit is mg/dL
T1-baseline
physiological indicators-GLU(T2)
GLU, the unit is mg/dL
T2-three months later
physiological indicators-GLU(T3)
GLU, the unit is mg/dL
T3-six months later
physiological indicators-HbA1C(T1)
HbA1C, the unit is %
T1-baseline
physiological indicators-HbA1C(T2)
HbA1C, the unit is %
T2-three months later
physiological indicators-HbA1C(T3)
HbA1C, the unit is %
T3-six months later
Secondary Outcomes (3)
self-management-T1
T1-baseline
self-management-T2
T2-three months later
self-management-T3
T3-six months later
Other Outcomes (4)
Quality of life scale-T1
T1-baseline
Quality of life scale-T2
T2-three months later
Quality of life scale-T3
T3-six months later
- +1 more other outcomes
Study Arms (2)
eHealth
EXPERIMENTALProvide home physiology measurement services, including automatic uploading of measured blood pressure values to the cloud, serial back-end education platform to provide numerical anomaly alarms and health care notifications, monthly measurement data reports, combined with mobile APP management system for immediate enquiry . In addition to the electric visit to the patient's health education guidance, the content includes: 1. Encourage the walking exercise to perform 2. Ask the walking exercise execution progress, please return the daily value of the case to facilitate the record 3. Answer the relevant questions asked during the intervention.
wait list control
EXPERIMENTALwait list control for 3 months and then Provide home physiology measurement services, including automatic uploading of measured blood pressure values to the cloud, serial back-end education platform to provide numerical anomaly alarms and health care notifications, monthly measurement data reports, combined with mobile APP management system for immediate enquiry . In addition to the electric visit to the patient's health education guidance, the content includes: 1. Encourage the walking exercise to perform 2. Ask the walking exercise execution progress, please return the daily value of the case to facilitate the record 3. Answer the relevant questions asked during the intervention.
Interventions
The study was randomized (wait-list-control), and it was estimated that 60 subjects were randomly assigned to the immediate treatment group and the wait-list-control group. The two groups were tested for baseline before intervention in the eHealth. After the first questionnaire evaluation, the experimental group was involved in the eHealth for three months, and after three months, the experimental group and the waiting intervention control group were post-tested. To assess the effectiveness of the two groups before and after the eHealth . Control group that waits for intervention in the fourth month from the beginning of the fourth month to the end of the sixth month
Eligibility Criteria
You may qualify if:
- A patient who is 20 years of age or older and has a Coronary computed tomography angiography \>50% vascular stenosis, has been PTCA、stent or CABG
- Taiwanese, understand Chinese
You may not qualify if:
- Those who can't express their wishes clearly (such as Azheimer's disease, mental dysfunction)
- mental disorder
- infectious diseases
- Patients who participate in other research projects
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
TSGH
Taipei, Taiwan
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
October 22, 2019
First Posted
October 31, 2019
Study Start
September 18, 2019
Primary Completion
July 15, 2020
Study Completion
October 5, 2020
Last Updated
March 3, 2021
Record last verified: 2021-03
Data Sharing
- IPD Sharing
- Will not share