Applying a Chatbot to Geriatric Patients in Psychiatric Clinics: A Pilot Study

NCT ID: NCT05054660

Last Updated: 2021-09-23

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

75 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-09-27

Study Completion Date

2022-07-31

Brief Summary

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This study will use the caring chatbot developed by the Taipei University of Technology team to provide care for participants and use robots to talk to them to collect daily changes in mood, sleep, and activities, and analyze the factors that affect the physical and mental health of the elderly.

Detailed Description

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The prevalence of anxiety and depression in middle-aged and elderly people is quite high. Among the risk factors for illness, "loneliness" is closely related to the physical and mental health of the elderly: the higher the loneliness of the elderly, the more likely to develop unhealthy lifestyle habits and emotional symptoms such as depression and anxiety. Depression and anxiety are often comorbid, and the diagnoses of the two groups have many symptoms that overlap each other. Emotional symptoms that have not been effectively treated have a great impact on the quality of life, and the drug treatment of emotional disorders in the elderly is more difficult. In addition to medication, maintaining a healthy lifestyle is also conducive to the control of emotional disorders.

Information technology has been used in supplementary medical care and maintenance of physical and mental health for decades. However, reviewing the literature, there is less research on applications developed in cooperation between the information field and the field of psychiatric medical care, and there are no applications developed for the mental health of middle-aged and elderly people.

This study will use the caring chatbot developed by the National Taipei University of Technology team to provide care for the participants enrolled from the psychiatric outpatient department, and use the chatbot to talk to them to collect daily changes in mood, sleep, and activities, and analyze the factors that affect the mental health of the elderly.

This research anticipates the following goals:

1. With the chatbot developed, it provides care for subjects every day and collects their daily changes in mood, sleep, and activities.
2. Analyze the relationship between robot interaction and emotional changes, and evaluate the impact of chatbot intervention on the health behavior of the case.

Conditions

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Loneliness Geriatric Depression

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

psychiatry outpatient using the investigator-developed-chatbot, and evaluate effectiveness, acceptability, usability, and adoption
Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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caring chatbot

The investigators will enroll participants aged over 55 in the psychiatric outpatient department. The participants will get a one-month caring chatbot and can interact with the chatbot freely.

Group Type EXPERIMENTAL

caring chatbot

Intervention Type OTHER

The investigators will use the developed caring chatbot to provide care to the cases and to collect case treatment data and interaction data between the case and the caring chatbot.

Interventions

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caring chatbot

The investigators will use the developed caring chatbot to provide care to the cases and to collect case treatment data and interaction data between the case and the caring chatbot.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* with the diagnosis of persistent depressive disorder, major depressive disorder, general anxiety disorder, panic disorder, or agoraphobia
* the condition of their disease is relatively stable (defined as no thought of death and no medication adjustment in the recent 3 months).
* Have a personal mobile phone or communicator that can connect to the Internet

Exclusion Criteria

* Those who are unwilling to participate in this research
* Those who have poor assessment ability by clinicians and cannot understand the content of the questionnaire; or those who cannot continue to complete the test due to their physical condition
* Comorbid schizophrenia or bipolar disorder
* Patients with dementia, brain injury, substance abuse, and stroke
Minimum Eligible Age

55 Years

Maximum Eligible Age

110 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Taipei University of Technology

OTHER

Sponsor Role collaborator

Chang Gung Memorial Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Central Contacts

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Ya-Hsin Chou, MD

Role: CONTACT

(03)3281288 ext. 2485

Other Identifiers

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202001915B0C601

Identifier Type: -

Identifier Source: org_study_id

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