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

22 septembre 2021 mis à jour par: 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.

Aperçu de l'étude

Statut

Pas encore de recrutement

Les conditions

Intervention / Traitement

Description détaillée

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.

Type d'étude

Interventionnel

Inscription (Anticipé)

75

Phase

  • N'est pas applicable

Contacts et emplacements

Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.

Coordonnées de l'étude

Critères de participation

Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.

Critère d'éligibilité

Âges éligibles pour étudier

55 ans à 110 ans (Adulte, Adulte plus âgé)

Accepte les volontaires sains

Non

Sexes éligibles pour l'étude

Tout

La description

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

Plan d'étude

Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.

Comment l'étude est-elle conçue ?

Détails de conception

  • Objectif principal: Autre
  • Répartition: N / A
  • Modèle interventionnel: Affectation à un seul groupe
  • Masquage: Aucun (étiquette ouverte)

Armes et Interventions

Groupe de participants / Bras
Intervention / Traitement
Expérimental: 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.
Autre: 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.

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
acceptance measured by seven-point Likert scales
Délai: 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

Mesures de résultats secondaires

Mesure des résultats
Description de la mesure
Délai
Change from baseline "loneliness" measured by UCLA Loneliness Scale
Délai: 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)
Délai: 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
Délai: 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)
Délai: 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)
Délai: 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

Collaborateurs et enquêteurs

C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.

Parrainer

Chang Gung Memorial Hospital

Collaborateurs

National Taipei University of Technology

Dates d'enregistrement des études

Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.

Dates principales de l'étude

Début de l'étude (Anticipé)

27 septembre 2021

Achèvement primaire (Anticipé)

31 janvier 2022

Achèvement de l'étude (Anticipé)

31 juillet 2022

Dates d'inscription aux études

Première soumission

1 septembre 2021

Première soumission répondant aux critères de contrôle qualité

22 septembre 2021

Première publication (Réel)

23 septembre 2021

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

23 septembre 2021

Dernière mise à jour soumise répondant aux critères de contrôle qualité

22 septembre 2021

Dernière vérification

1 août 2021

Plus d'information

Termes liés à cette étude

Mots clés

Termes MeSH pertinents supplémentaires

Autres numéros d'identification d'étude

  • 202001915B0C601

Informations sur les médicaments et les dispositifs, documents d'étude

Étudie un produit pharmaceutique réglementé par la FDA américaine

Non

Étudie un produit d'appareil réglementé par la FDA américaine

Non

Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .

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