Development of Smartphone Application for Cognitive Behavioral Therapy-Based Case Management in Patients with Schizophrenia / 대한정신분열병학회지
Korean Journal of Schizophrenia Research
; : 10-16, 2016.
Article
in Ko
| WPRIM
| ID: wpr-77121
Responsible library:
WPRO
ABSTRACT
OBJECTIVES: This article aims to describe the development of smartphone application for the case management of patients with schizophrenia. METHODS: Gwangju Bukgu-Community Mental Health Center developed and launched a smartphone application (HYM) for cognitive-behavioral case management and symptom monitoring. The development of the application involved psychiatrists, nurses, social workers, psychologists, and software technicians from a software development company (Goosl Corp.). RESULTS: The HYM application for clients includes six main modules including Thought record, Symptom record, Daily life record, Official notices, Communication, and Scales. The key module is the 'Thought Record' for self-directed cognitive-behavioral treatment (CBT). When the client writes and sends the self-CBT sheet to the case manager, the latter receives a notification and can provide feedback in real time. 'Communication' and 'Official notices' are useful for promoting communication between case managers and clients with schizophrenia. Ratings in 'Symptom record', 'Daily life record', and 'Scales' modules are stored in graphic or table form representing changes in them and shared with case managers. CONCLUSION: The interactive function of this application is the key characteristics that distinguishes it from other mobile self-treatment tools. This smartphone application may contribute to the development of a youth- and customer-friendly case management system for individuals with early psychosis.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Psychiatry
/
Psychology
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Psychotic Disorders
/
Schizophrenia
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Social Work
/
Weights and Measures
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Cognitive Behavioral Therapy
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Mental Health
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Early Intervention, Educational
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Case Management
Limits:
Humans
Language:
Ko
Journal:
Korean Journal of Schizophrenia Research
Year:
2016
Type:
Article