Clinical trial NCT06473558: Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology
Official title: Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology
Study type: INTERVENTIONAL
Overall status: NOT_YET_RECRUITING
Phase: NA
Conditions: Artificial Intelligence (AI)
Keywords: Depression
Anxiety
Emergency Department
Lead sponsor: University Hospitals Cleveland Medical Center
Sponsor class: OTHER
First posted: 2024-06-25
Enrollment: 30
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: NA
Intervention model: SINGLE_GROUP
Primary purpose: SCREENING

Brief summary: 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.


Eligibility criteria: Inclusion Criteria:

* Adult patients (age 18 and over) who presents to the UHCMC ED voluntarily with no obvious psychological disturbance by self-report or nurse/provider initial assessment
* English-speaking
* Patients with non-emergent concerns of Emergency Severity Index (ESI) level 3, 4, or 5

Exclusion Criteria:

* Prisoners
* Patients who are deemed to be critically ill (including life or limb threatening illness) or unable to consent
* Non-English Speaking

Primary outcomes:
measure: Percentage of participants who score 5-9 on the PHQ-9
timeFrame: Baseline
measure: Percentage of participants who score 10-14 on the PHQ-9
timeFrame: Baseline
measure: Percentage of participants who score 15-19 on the PHQ-9
timeFrame: Baseline
measure: Percentage of participants who score 20-27 on the PHQ-9
timeFrame: Baseline
measure: Percentage of participants who score 5-9 on the GAD-7
timeFrame: Baseline
measure: Percentage of participants who score 10-14 on the GAD-7
timeFrame: Baseline
measure: Percentage of participants who score above 15 on the GAD-7
timeFrame: Baseline
measure: Number of participants that AI screened positive for mild depression symptoms.
timeFrame: Baseline
measure: Number of participants that AI screened positive for moderate depression symptoms.
timeFrame: Baseline
measure: Number of participants that AI screened positive for moderately severe depression symptoms.
timeFrame: Baseline
measure: Number of participants that AI screened positive for severe depression screening
timeFrame: Baseline
measure: Number of participants that AI screened positive for mild anxiety symptoms.
timeFrame: Baseline
measure: Number of participants that AI screened positive for moderate anxiety symptoms.
timeFrame: Baseline
measure: Number of participants that AI screened positive for severe anxiety symptoms.
timeFrame: Baseline
Secondary outcomes:
Other outcomes:
Locations:
city: Cleveland
country: United States
facility: University Hospitals ED
state: Ohio
Study officials:
affiliation: University Hospitals
name: Kiran Faryar, MD, MPH
role: PRINCIPAL_INVESTIGATOR
References: