The Application of Smart Health Management System on Home-Care for Elderly Patients

NCT ID: NCT02616575

Last Updated: 2022-11-28

Basic Information

• Recruitment Status: ENROLLING_BY_INVITATION
• Total Enrollment: 50 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2015-12-31
• Study Completion Date: 2026-05-31

Brief Summary

Aims: The purposes of this study are

1. to create a smart living environment with home care system using GPS and cloud-based services for elderly people.

2. to improve the home care system from user feedback and recommendations.

Methods: Participants (n = 50) will be recruited from geriatric clinics in National Taiwan University Hospital (NTUH) main hospital and its Beihu branch. Enrollment criteria include: aged 60 or older, living alone or with one companion (not children), taking at least one chronic medications, having the capability to understand the study and complete the study, willing to participate into the study with telephone follow ups.

Detailed Description

Background: At present, with the changing of the society structure, the ratio of nuclear family and older people who live alone is arising. Therefore, making care system fit for aging population to create a appropriate healthcare is cricial. Thus, the investigators have established a smart home health care system, SilverLink to improve resident quality for older adults living alone.

Aims: The purposes of this study are

1. to create a smart living environment with home care system using GPS and cloud-based services for elderly people.

2. to improve the home care system from user feedback and recommendations.

Methods: Participants (n = 50) will be recruited from geriatric clinics in NTUH main hospital and its Beihu branch. Enrollment criteria include: aged 60 or older, living alone or with a companion (not children), taking at least one chronic medications, having the capability to understand the study and complete the study, willing to participate into the study with telephone follow ups.

This study includes two sessions:

1. set up the healthcare system, with home GPS and sensors. The investigators will stick small sensors on fridge door, pillbox, pendant…for automatic detection of the frequency of food intake, take medicine and get out of home….Also, the investigators will use accelerometer to track the body movement for older adults.

2. use APP for blood pressure (BP) or other measurements data tracking. The investigators develop an APP system to help older adults to log in and track their dairy physiological measurements. (optional)

Anticipated results:

Provide feasibility data for system to allow future modifications of the system.

Improve older adults' life quality and satisfaction. Under the integration of this healthcare technology and the central communication medical services may create a smart healthcare network, which is not only the effectiveness on reducing medical costs, but also will provide a convenient connection between living alone older adults and their family.

Conditions

Peer Review, Health Care

Study Design

• Observational Model Type: CASE_ONLY
• Study Time Perspective: PROSPECTIVE

Study Groups

Silver link

Patients enrolled in NTUH hospital and its Behui branch

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

• aged 60 or older,
• living alone or with a companion (not children),
• taking at least one chronic medications,
• having the capability to understand the study and complete the study,
• willing to participate into the study with telephone follow ups.

• Minimum Eligible Age: 60 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

National Taiwan University Hospital

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Ding-Cheng Chan

Role: PRINCIPAL_INVESTIGATOR

National Taiwan University Hospital

Locations

National Taiwan University Hospital

Taipei, , Taiwan

Countries

Taiwan

Other Identifiers

201502062RINB

Identifier Type: -

Identifier Source: org_study_id