Effects on Physical and Mental Prognosis and Quality of Life of Elderly People With Depressive Symptoms

NCT ID: NCT05852912

Last Updated: 2023-05-10

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 240 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-06-01
• Study Completion Date: 2025-06-30

Brief Summary

Mild mental illnesses such as depression, anxiety, and sleep disorders in the elderly are also major health issues for Taiwanese. Mild mental illnesses that cannot be effectively treated may worsen existing chronic diseases. However, there is a lack of objective, convenient and effective assessment tools for the cognitive, emotional, sleep and other mental health of the elderly. The development of these assessment tools can be used to quantify the degree of abnormality, provide early diagnosis, and evaluate the effectiveness of long-term care.

In recent years, the progress of physiological sensing technology and wearable devices,telemedicine devices and various computer information integration software has provided objective clinical data. This study will use "wearable devices", "telemedicine" and "computer information software" to evaluate whether elderly with mild mental illness have a poor prognosis. In this way, an intelligent care model for "cognitive, emotional, sleep and other mental health" for elderly is developed.

Detailed Description

Mild mental illnesses such as depression, anxiety, and sleep disorders in the elderly are also major health issues for Taiwanese. Mild mental illnesses that cannot be effectively treated may worsen existing chronic diseases. However, there is a lack of objective, convenient and effective assessment tools for the cognitive, emotional, sleep and other mental health of the elderly. The development of these assessment tools can be used to quantify the degree of abnormality, provide early diagnosis, and evaluate the effectiveness of long-term care.

In recent years, the progress of physiological sensing technology and wearable devices,telemedicine devices and various computer information integration software has provided objective clinical data. This study will use "wearable devices", "telemedicine" and "computer information software" to evaluate whether elderly with mild mental illness have a poor prognosis. In this way, an intelligent care model for "cognitive, emotional, sleep and other mental health" for elderly is developed.

This study is expected to have the following objectives:

1. To understand the prevalence and current situation of Taiwanese elderly complicated with mild mental illnesses (such as anxiety, insomnia, etc.).

2. Establish a physical and mental assessment tool for the elderly, integrating different scales such as physical health, mental health, and mobility into a complete and convenient information interface for the elderly, caregivers, and medical staff to use to facilitate cross-field connections Communities and hospitals, providing continuum of care.

3. Introduce wearable devices and computerized software to analyze the prognosis of elderly hypertensive patients.

Through this project, it is expected to combine the two majors of medical treatment and information technology, and integrate various assessment tools into a convenient information interface, making it easy for the elderly and caregivers to use, and even linking to the medical network to assist in rapid diagnosis, referral and receive treatment. The collected data can be used for big data analysis in the future to provide further national policy reference.

Conditions

Depression

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: CROSS_SECTIONAL

Study Groups

elders combined with mild mental illness

elders combined with mild mental illness(120 subjects)

No interventions assigned to this group

elders combined without mild mental illness

elders combined without mild mental illness(120 subjects)

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

1. Age is more than or equal to 65 years old

2. Able to provide informed consent to participate in the research.

3. Can understand the instructions, and coduct the questionnaire assessment and physical function measurement.

Exclusion Criteria

1. Those unable to give consent to participate in the research.

2. Those who cannot understand the instructions, difficult to coduct questionnaire assessment and physical function measurement.

3. Severe disease state (respiratory distress requiring intubation or patient with terminal illness) or severe brain injury or severe Dementia.

4. Snstable patients and patients with substance abuse.

• Minimum Eligible Age: 65 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Chang Gung Memorial Hospital

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Yu-Shu Huang

Role: STUDY_DIRECTOR

Principal Investigator

Central Contacts

Yu-Shu Huang

Role: CONTACT

yushuhuang1212@gmail.com

+886 3 3281200 ext. 8539

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Other Identifiers

202200501B0C603

Identifier Type: -

Identifier Source: org_study_id