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

2021年9月22日 更新者:Chang Gung Memorial Hospital
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.

調査の概要

状態

まだ募集していません

詳細な説明

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.

研究の種類

介入

入学 (予想される)

75

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

55年~110年 (大人、高齢者)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

説明

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

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:他の
  • 割り当て:なし
  • 介入モデル:単一グループの割り当て
  • マスキング:なし(オープンラベル)

武器と介入

参加者グループ / アーム
介入・治療
実験的: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.
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.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
acceptance measured by seven-point Likert scales
時間枠:at the end of one-month-intervention of the caring chatbot
Satisfacation (How satisfied were you with Chatbot?), usability (How easy was talking to Chatbot?), continue (How much would you like to continue working with Chatbot?) and adherence (How likely is it that you will follow Chatbot's advice?) were measured by single items on seven-point Likert scales (with 1= "not at all" and 7="very much").
at the end of one-month-intervention of the caring chatbot

二次結果の測定

結果測定
メジャーの説明
時間枠
Change from baseline "loneliness" measured by UCLA Loneliness Scale
時間枠:before and at the end of one-month-intervention of the caring chatbot
The UCLA Loneliness Scale (version 3) is a 20-item measure that assesses how often a person feels disconnected from others. Using a 4-point rating scale (1= never; 4 = always), participants answer 20 questions, and researchers later reverse-code the positively worded items so that high values mean more loneliness.
before and at the end of one-month-intervention of the caring chatbot
Change from baseline "depression" measured by Geriatric Depression Scale-Short Form (GDS-15)
時間枠:before and at the end of one-month-intervention of the caring chatbot
Geriatric Depression Scale (GDS) is designed for the older population. A Short Form GDS consisting of 15 questions. Of the 15 items, 10 indicated the presence of depression when answered positively, while the rest indicated depression when answered negatively. Scores of 5-8 indicate mild depression; 9-11 indicate moderate depression; 12-15 indicate severe depression.
before and at the end of one-month-intervention of the caring chatbot
Change from baseline "anxiety" measured by Hospital Anxiety and Depression Scale- Anxiety subscale
時間枠:before and at the end of one-month-intervention of the caring chatbot
Hospital Anxiety and Depression Scale (HADS) is developed for people with physical illnesses. This scale includes a total of 14 questions. There are 7 questions about anxiety and depression, each with a 4-point scoring method (0-3 points). The higher the total score, the greater the anxiety or the greater the depression. Due to the high overlap between the topics of the depression subscale and the GDS, this study only uses the anxiety subscale.
before and at the end of one-month-intervention of the caring chatbot
Change from baseline "quality of life" measured by Short Form Quality Life Sale (SF-12)
時間枠:before and at the end of one-month-intervention of the caring chatbot
Short Form Quality Life Sale (SF-12) is the most commonly used questionnaire in the study of the quality of life of the elderly, with a total score ranging from 13~43. A higher score reflects a better life quality.
before and at the end of one-month-intervention of the caring chatbot
Change from baseline "physical activity" measured by International Physical Activity Questionnaire Self-Administered Short Version (IPAQ-SS)
時間枠:before and at the end of one-month-intervention of the caring chatbot
International Physical Activity Questionnaire Self-Administered Short Version (IPAQ-SS) measures the physical activity of the participant in the past seven days by self-filled method. The questionnaire is consisted of four domains: (1)during transportation, (2) at work, (3) during household and gardening tasks and (4) during leisure time, including exercise and sport participation. In each of the four domains the number of days per week and time per day spent in both moderate and vigorous activity are recorded.
before and at the end of one-month-intervention of the caring chatbot

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (予想される)

2021年9月27日

一次修了 (予想される)

2022年1月31日

研究の完了 (予想される)

2022年7月31日

試験登録日

最初に提出

2021年9月1日

QC基準を満たした最初の提出物

2021年9月22日

最初の投稿 (実際)

2021年9月23日

学習記録の更新

投稿された最後の更新 (実際)

2021年9月23日

QC基準を満たした最後の更新が送信されました

2021年9月22日

最終確認日

2021年8月1日

詳しくは

本研究に関する用語

追加の関連 MeSH 用語

その他の研究ID番号

  • 202001915B0C601

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米国FDA規制医薬品の研究

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米国FDA規制機器製品の研究

いいえ

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