The aims of this study are developments of mental health care services for cancer patients based on interactive artificial intelligence. To do these things, survey of unmet medical needs and data collection of clinical interviews will be done, and newly developed assessment and intervention scenarios will be simulated to cancer patients group.
A total of 20 people will be recruited from 3 institutions to investigate unmet medical needs. Based on the needs, we will develop scenarios to assess, classify, explain and conduct supportive interviews. We plan to develop a stress self-management scenario that helps manage lifestyle habits and provides meditation-based cognitive therapy. For moderate to severe distress, we plan to develop scenarios to link medical care and manage suicide risk. We plan to conduct interviews with a total of 300 people to collect clinical interview data for scenario development.
Study Type
OBSERVATIONAL
Enrollment
260
scenario based AI to assess, classify, explain and conduct supportive interviews
Seoul National University Hospital
Seoul, Seoul, South Korea
RECRUITINGDistress
Distress Thermometer
Time frame: baseline
Quality of life measurement
The world health organization quality of life (WHOQOL)
Time frame: baseline
Stress
Perceived Stress Scale (PSS-10)
Time frame: baseline
Self-esteem
Korean version of Rosenberg Self-Esteem Scale (K-RES)
Time frame: baseline
Acceptance of Disability
Acceptance of Disability Scale
Time frame: baseline
Pain measurement
PBPI (Pain belief \& Perception inventory)
Time frame: baseline
Insomnia
ISI (Insomnia Severity Index)
Time frame: baseline
Quality of sleep
PSQI (Pittsburgh Sleep Quality Index)
Time frame: baseline
Fatigue
Functional Assessment of Chronic Illness Therapy - Fatigue (FACIT-Fatigue)
Time frame: baseline
Anxiety & Depression
HADS (Hospital anxiety and depression scale)
Time frame: baseline
Bong-jin Hahm, M.D., Ph.D.
CONTACT
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Fear of Disease Progression
FOP-SF (Fear of Disease Progression Short Form)
Time frame: baseline
Social Support
MOS Social support Survey
Time frame: baseline