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

22. September 2021 aktualisiert von: 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.

Studienübersicht

Status

Noch keine Rekrutierung

Bedingungen

Intervention / Behandlung

Detaillierte Beschreibung

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.

Studientyp

Interventionell

Einschreibung (Voraussichtlich)

75

Phase

  • Unzutreffend

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienkontakt

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

55 Jahre bis 110 Jahre (Erwachsene, Älterer Erwachsener)

Akzeptiert gesunde Freiwillige

Nein

Studienberechtigte Geschlechter

Alle

Beschreibung

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

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

  • Hauptzweck: Sonstiges
  • Zuteilung: N / A
  • Interventionsmodell: Einzelgruppenzuweisung
  • Maskierung: Keine (Offenes Etikett)

Waffen und Interventionen

Teilnehmergruppe / Arm
Intervention / Behandlung
Experimental: 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.
Sonstiges: 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.

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
acceptance measured by seven-point Likert scales
Zeitfenster: 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

Sekundäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Change from baseline "loneliness" measured by UCLA Loneliness Scale
Zeitfenster: 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)
Zeitfenster: 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
Zeitfenster: 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)
Zeitfenster: 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)
Zeitfenster: 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

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Sponsor

Chang Gung Memorial Hospital

Mitarbeiter

National Taipei University of Technology

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Voraussichtlich)

27. September 2021

Primärer Abschluss (Voraussichtlich)

31. Januar 2022

Studienabschluss (Voraussichtlich)

31. Juli 2022

Studienanmeldedaten

Zuerst eingereicht

1. September 2021

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

22. September 2021

Zuerst gepostet (Tatsächlich)

23. September 2021

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

23. September 2021

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

22. September 2021

Zuletzt verifiziert

1. August 2021

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Schlüsselwörter

Zusätzliche relevante MeSH-Bedingungen

Andere Studien-ID-Nummern

  • 202001915B0C601

Arzneimittel- und Geräteinformationen, Studienunterlagen

Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

Diese Informationen wurden ohne Änderungen direkt von der Website clinicaltrials.gov abgerufen. Wenn Sie Ihre Studiendaten ändern, entfernen oder aktualisieren möchten, wenden Sie sich bitte an register@clinicaltrials.gov. Sobald eine Änderung auf clinicaltrials.gov implementiert wird, wird diese automatisch auch auf unserer Website aktualisiert .

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Bedingungen

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Standorte

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