Behavioral health problems, such as depression and anxiety, are common yet often are not identified by emergency department doctors and nurses. These mental health conditions can be due to medical issues or can worsen medical problems. One way investigators hope to do a better job of learning about mental health is by training Artificial Intelligence (AI) software to detect anxiety and depression by analyzing facial expression and tone of voice. Participants are invited to participate in a study which may help improve emergency department care. An audio and video recording of the participant's responses to some simple, non-psychological questions will be analyzed by a computer to determine whether investigators can assess mood and anxiety by analyzing speech and visual patterns. The audio and video will not be listened to nor watched by study personnel, only analyzed by a computer. The investigator's hope is that it will help others in the future by aiding in the assessment of psychological state. This study is being conducted at CMC ED only.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SCREENING
Masking
NONE
Enrollment
30
Patients will be asked to read a story and their facial expressions and audio cues will be recorded.
University Hospitals ED
Cleveland, Ohio, United States
Percentage of participants who score 5-9 on the PHQ-9
Patient Health Questionnaire (PHQ-9) is a multipurpose instrument for screening, diagnosing, monitoring, and measuring severity of depression. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day.
Time frame: Baseline
Percentage of participants who score 10-14 on the PHQ-9
Patient Health Questionnaire (PHQ-9) is a multipurpose instrument for screening, diagnosing, monitoring, and measuring severity of depression. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day.
Time frame: Baseline
Percentage of participants who score 15-19 on the PHQ-9
Patient Health Questionnaire (PHQ-9) is a multipurpose instrument for screening, diagnosing, monitoring, and measuring severity of depression. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day.
Time frame: Baseline
Percentage of participants who score 20-27 on the PHQ-9
Patient Health Questionnaire (PHQ-9) is a multipurpose instrument for screening, diagnosing, monitoring, and measuring severity of depression. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day.
Time frame: Baseline
Percentage of participants who score 5-9 on the GAD-7
Generalized Anxiety Disorder (GAD-7) is a easy to preform initial screening tool for generalized anxiety disorder. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day.
Time frame: Baseline
Percentage of participants who score 10-14 on the GAD-7
Generalized Anxiety Disorder (GAD-7) is a easy to preform initial screening tool for generalized anxiety disorder. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day.
Time frame: Baseline
Percentage of participants who score above 15 on the GAD-7
Generalized Anxiety Disorder (GAD-7) is a easy to preform initial screening tool for generalized anxiety disorder. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day.
Time frame: Baseline
Number of participants that AI screened positive for mild depression symptoms.
Time frame: Baseline
Number of participants that AI screened positive for moderate depression symptoms.
Time frame: Baseline
Number of participants that AI screened positive for moderately severe depression symptoms.
Time frame: Baseline
Number of participants that AI screened positive for severe depression screening
Time frame: Baseline
Number of participants that AI screened positive for mild anxiety symptoms.
Time frame: Baseline
Number of participants that AI screened positive for moderate anxiety symptoms.
Time frame: Baseline
Number of participants that AI screened positive for severe anxiety symptoms.
Time frame: Baseline
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