We have compiled a list of instances CAT-MH™ and K-CAT™ have been mentioned in the news including videos, news articles, and academic publications. Check it out!

CAT-MH™ and K-CAT™ in the News

Professor Robert D. Gibbons to speak at AACAP’s 66th Annual Meeting

Dr. Gibbons will be speaking on Computer Adaptive Testing: Multidimensional Item Response Theory and the Development of the Kiddie-CAT (K-CAT™). The conference will be held in Chicago, IL on October 14-19, 2019. AACAP’s mission is to “promote the healthy development of children, adolescents, and families through advocacy, education, and research and to meet the professional needs of child and adolescent psychiatrists throughout their careers.”

Elizabeth Wenzel wins NNDC’s Best Poster Award Comparing the CAT-MH™ and the PHQ in Perinatal Women

Elizabeth Wenzel presents a poster at NNDC on screening for perinatal depression using the CAT-MH™ in urban-dwelling African American and Hispanic women, winning best poster.

Professor Robert D. Gibbons to Discuss CAT-MH™ at Forum on Mental Health and Substance Use Disorders: A Workshop

“The Forum on Mental Health and Substance Use Disorders is hosting its first public workshop, Key Policy Challenges to Improve Care for People with Mental Health and Substance Use Disorders, on October 15-16, 2019. This first workshop will provide an overview of 5 key policy challenges to improve care for people with mental health and substance use disorders. “

Professor Robert D. Gibbons to Discuss CAT-MH™ at Annual Symposium on Transforming Suicide: Prevention, Care, Research, and Policy

This event will be held on Tuesday, October 22, 2019, at the University of Chicago’s Knapp Center for Biomedical Discovery.

K-CAT™ Featured in IDEAS Faculty and Staff Newsletter: A Brief Diagnostic Tool (K-CAT™) for use in Emergency Departments…

“…is aimed at improving the mental health screening of youth presenting to emergency departments (ED’s), and their referral to services in the community. The project will not only test this new tablet-based personalized screening tool, the K-CAT™, but will also test a disposition protocol to increase ED providers’ confidence in making mental health diagnoses, and managing suicidal thoughts and behaviors and severe depression —- all with the goal of facilitating the early identification of serious mental health problems in youth, and more quickly referring and linking them to services in the community.”

UChicago News: How an Online Test Might Help Identify Mental Illnesses

“UChicago scholars have partnered with Cook County to start piloting use of the CAT-MH™, an online test for mental illnesses they hope will help connect people to needed services.””

UChicago Medicine, At the Forefront: Groundbreaking Online Test Streamlines Mental Health Screening and Measurement in Healthcare and Beyond

“Personalized medicine has become a byword of modern healthcare. By tailoring interventions to an individual’s specific needs, practitioners and patients are more likely to see improved outcomes. Robert Gibbons, PhD, Blum-Riese Professor of Biostatistics and Director of the Center for Health Statistics, has developed a highly personalized, effective and efficient electronic screening and measurement tool for quickly identifying and monitoring mental health conditions in the clinical setting and beyond.”

Without Wasting a Word: Extreme Improvements in Efficiency and Accuracy Using Computerized Adaptive Testing for Mental Health Disorders (CAT-MH™)

Adaptive tests for a wide variety of mental health traits (e.g., depression, anxiety, mania, substance misuse, suicidality) are now available in a cloud-based environment. These tests have been validated in a variety of settings against lengthy structured clinical interviews with excellent results and even higher reliability than fixed-length tests. The future of mental health measurement will be based on automated screening and assessments. Adaptive tests, easily integrated into electronic health records, will provide increased precision of measurement and decreased burden of measurement.

Depression in Emergency Department Patients and Association with Health Care Utilization

Depression is one of the most common illnesses in the United States, with increased prevalence among people with lower socioeconomic status and chronic mental illness who often seek care in the emergency department (ED). We sought to estimate the rate of severity of major depressive disorder (MDD) in a nonpsychiatric ED population and its association with subsequent ED visits and hospitalizations. Rates of depression were high among a convenience sample of English-speaking adult ED patients presenting with nonpsychiatric complaints and independently associated with increased risk of subsequent ED utilization and hospitalization. Standardized assessment tools that provide rapid, accurate, and precise classification of MDD severity have the potential to play an important role in identifying ED patients in need of urgent psychiatric resource referral.

Validation of the Computerized Adaptive Test for Mental Health in Primary Care

The US Preventive Services Task Force recommends screening for depression in the general adult population. Although screening questionnaires for depression and anxiety exist in primary care settings, electronic health tools such as computerized adaptive tests based on item response theory can advance screening practices. This study evaluated the validity of the Computerized Adaptive Test for Mental Health (CAT-MH™) for screening for major depressive disorder (MDD) and assessing MDD and anxiety severity among adult primary care patients. Computerized adaptive testing could be a valid and efficient patient-centered screening strategy for depression and anxiety screening in primary care settings.

DID YOU KNOW: In two minutes each the severity of depression, anxiety, and mania can be measured with precision equal to what would have taken hours to achieve with traditional fixed length tests.

An Inflammatory Profile Linked to Increased Suicide Risk

Suicide risk assessments are often challenging for clinicians, and therefore, biological markers are warranted as guiding tools in these assessments. Suicidal patients display increased cytokine levels in peripheral blood, although the composite inflammatory profile in the subjects is still unknown. It is also not yet established whether certain inflammatory changes are specific to suicidal subjects. To address this, we measured 45 immunobiological factors in peripheral blood and identified the biological profiles associated with cross-diagnostic suicide risk and depression, respectively. A unique immunobiological profile was linked to increased suicide risk. The profile was different from that observed in patients with depressive symptoms, and indicates that granulocyte mediated biological mechanisms could be activated in patients at risk for suicide.

UCLA Offers Innovative Approach to Fighting Depression on Campus

Researchers at UCLA leverage the CAT-MH™ to help identify students at risk of depression and also trains student coaches who can help and understand what those struggling are going through.

In a Fight Against Depression, UCLA Relies on Technology

In what amounts to a research moonshot, the University of California at Los Angeles aims to “cut the burden of depression in half” by 2050 and to eliminate it by the end of the century. In a study conducted since last year as part of the Depression Grand Challenge — an interdisciplinary research project that adopts the popular “grand challenge” format to solve major social or scientific problems — UCLA researchers have used an online program to measure the anxiety and depression levels of nearly 4,000 students.

Researchers at UCLA are Leveraging the CAT-MH™ as an Important Tool in their Fight Against Depression

Fox News reports on UCLA launching an ambitious new program to cure depression. Using a mobile interface form of CAT-MH™, researchers hope to identify the genetic, cognitive, and environmental factors associated with depression by surveying 100,000 volunteers. These volunteers will be encouraged to participate over a long period of time to better understand the root causes of depression. UCLA’s approach marks the first time there has been a campus-wide effort to eradicate a disease.

High-Frequency Measurement of Depressive Severity in a Patient Treated for Severe Treatment-Resistant Depression with Deep Brain Stimulation

Although there have been previous studies of deep-brain stimulation (DBS), we present, to our knowledge, the first example of high-frequency depressive severity measurement-based DBS treatment in particular and psychiatric treatment in general. Daily post-surgical e-mail prompts for a period of 6 months resulted in 93 administrations of a computerized adaptive test (CAT) of depression severity (CAT-Depression Inventory or CAT-DI) via the internet. Although the Hamilton Depression (HAM-D) scores decreased, they missed the more complete temporal pattern identified by CAT-DI daily monitoring. We demonstrated the feasibility of daily depressive severity measurement at high levels of precision and compliance. Clinician ratings confirm the general pattern of treatment benefit, but mask the marked variability in mood and more marked periods of benefit and decline.

Development of a Computerized Adaptive Test Suicide Scale – The CAT-SS

Current suicide risk screening and measurement are inefficient, have limited measurement precision, and focus entirely on suicide-related items. For this study, a psychometric harmonization between related suicide, depression, and anxiety symptom domains that provides a more balanced and complete spectrum of suicidal symptomatology was developed. The objective of this article is to describe the results of the early stages of computerized adaptive testing development for a suicide scale and pave the way for the final stage of validation. The CAT-SS is able to accurately measure the latent suicide dimension with a mean of 10 items in approximately 2 minutes.

UCLA Depression Grand Challenge Worldwide uses CAT-MH™

Depression is a global health crisis, afflicting 350 million people worldwide. UCLA and dozens of collaborators have a solution to offer sustainable state-of the-art treatment to all—using smartphones and the internet, our team offers an integrated treatment and technology solution to diagnose, treat and continuously monitor individuals with depression from underserved populations. The Depression Grand Challenge Worldwide (DGCW) team will deploy this strategy working with partners at sites in five countries—the United States, China, Colombia, South Africa and Uganda. In doing so, the DGCW will create a network of treatment teams and investigators empowered to enhance health and productivity not only within their own communities, but also in communities around the world.

Robert Gibbons Named Professorship Lecture: Statistics, Item Response Theory, and My Time in the Cook County Jail

Robert D. Gibbons, Professor of Medicine, Public Health Sciences and Psychiatry was named the Blum-Riese Professor. In this lecture, Dr. Gibbons delves into the screening of inmates in the Cook County jail and their subsequent monitoring after release, exhibiting the use of computerized adaptive testing (CAT) to determine the need for behavioral health treatment.

University of Chicago Emergency Department Study Abstract: Screening for Depression in Emergency Department Patients and Relationship to Health Care Utilization

Depression is associated with increased healthcare utilization, and worse health outcomes. As a locus for the care of complex, medically underserved patients, the emergency department (ED) presents a unique opportunity for public health depression screening. The aim of our study was to describe the incidence and severity of major depressive disorder (MDD) in the ED and its relationship to health care utilization using a novel computer adaptive depression screening and diagnostic tool. To assess presence and severity of depression, we administered both the Computerized Adaptive Diagnostic-Major Depressive Disorder (CAD-MDD) and the Computerized Adaptive Testing-Depression Inventory (CAT-DI) to 958 patients who visited the ED of an urban, academic tertiary medical center. Of 958 respondents, 252 (26.5%) screened positive for MDD and 66 (6.9%) were categorized as moderately severe/severe major depression.

Archives of Women’s Mental Health: The Experience of Depression, Anxiety, and Mania among Perinatal Women

We assessed differential item functioning (DIF) based on computerized adaptive testing (CAT) to examine how perinatal mood disorders differ from adult psychiatric disorders. The CAT-Mental Health (CAT-MH™) was administered to 1614 adult psychiatric outpatients and 419 perinatal women. We examined individual item- level differences using logistic regression and overall score differences by scoring the perinatal data using the original bifactor model calibration based on the psychiatric sample data and a new bifactor model calibration based on the peri- natal data and computing their correlation. There was little evidence of DIF for depression and anxiety symptoms in perinatal women. This was not true for mania. Now calibrated for perinatal women, the CAT-MH™ can be evaluated for longitudinal symptom monitoring.

Psychiatric Services: Test-Retest Reliability of a Computerized Adaptive Depression Screener

Computerized adaptive testing (CAT) provides improved precision and decreased test burden com- pared with traditional, fixed-length tests. Concerns have been raised regarding reliability of CAT-based measurements because the items administered vary both between and within individuals over time. The study measured test-retest reliability of the CAT Depression Inventory (CAT-DI) for assessment of depression in a screening setting where most scores fall in the normal range. Fourteen percent of patients scored in the mild range for depression, 4% in the moderate range, and 3% in the severe range. Test-retest scores were without significant bias and had excellent reliability (r=.92). The CAT-DI provided reliable screening results among ED patients.

Annual Review of Clinical Psychology: Computerized Adaptive Diagnosis and Testing of Mental Health Disorders

In this review we explore recent developments in computerized adaptive diagnostic screening and computerized adaptive testing for the presence and severity of mental health disorders such as depression, anxiety, and mania. The statistical methodology is unique in that it is based on multidimensional item response theory (severity) and random forests (diagnosis) instead of traditional mental health measurement based on classical test theory (a simple total score) or unidimensional item response theory. We show that the information contained in large item banks consisting of hundreds of symptom items can be efficiently calibrated using multidimensional item response theory, and the information contained in these large item banks can be precisely extracted using adaptive administration of a small set of items for each individual. In terms of diagnosis, computerized adaptive diagnostic screening can accurately track an hour-long face-to-face clinician diagnostic interview for major depressive disorder (as an example) in less than a minute using an average of four questions with unprecedented high sensitivity and specificity. Directions for future research and applications are discussed.

Psychiatric Services: Validation of Computerized Adaptive Testing in an Outpatient Nonacademic Setting (The VOCATIONS Trial)

Computerized adaptive testing (CAT) provides an alternative to fixed-length assessments. The study validated a suite of computerized adaptive tests for mental health (CAT-MH™) in a community psychiatric sample. Compared with gold-standard diagnostic and assessment measures, CAT-MH™ provided an effective, rapidly administered assessment of psychiatric symptoms.

American Journal of Psychiatry: Computer Aids for the Diagnosis of Anxiety and Depression

The publication of DSM-5 marked many examples of progress in psychiatric diagnosis, but two diagnoses, major depressive disorder and generalized anxiety disorder, the core dysfunctions that psychiatry addresses, did not change from DSM-IV to DSM-5. Yet, these two diagnoses had questionable test-retest reliability in the field tests, although paradoxically, high reliability for patients’ self-rating. In this issue of the Journal, Gibbons et al. report on the development and initial testing of computerized adaptive testing to assess patients’ self-perception of their anxiety and depression.

American Journal of Psychiatry: Development of the CAT-ANX: A Computerized Adaptive Test for Anxiety

The authors developed a computerized adaptive test for anxiety that decreases patient and clinician burden and increases measurement precision. Traditional measurement fixes the number of items but allows measurement uncertainty to vary. Computerized adaptive testing fixes measurement uncertainty and allows the number and content of items to vary, leading to a dramatic decrease in the number of items required for a fixed level of measurement uncertainty. Potential applications for inexpensive, efficient, and accurate screening of anxiety in primary care settings, clinical trials, psychiatric epidemiology, molecular genetics, children, and other cultures are discussed.

Journal of Clinical Psychiatry: The Computerized Adaptive Diagnostic Test for Major Depressive Disorder (CAD-MDD): A Screening Tool for Depression

The objective of this study was to develop a computerized adaptive diagnostic (CAD) screening tool for depression that decreases patient and clinician burden and increases sensitivity and specificity for clinician-based DSM-IV diagnosis of major depressive disorder (MDD). High sensitivity and reasonable specificity for a clinician-based DSM-IV diagnosis of depression can be obtained using an average of 4 adaptively administered self-report items in less than one minute. Relative to the currently used PHQ-9, the CAD-MDD dramatically increased sensitivity while maintaining similar specificity. As such, the CAD-MDD will identify more true positives (lower false negative rate) than the PHQ-9 using half the number of items. Inexpensive (relative to clinical assessment), efficient and accurate screening of depression in primary care settings, psychiatric epidemiology, molecular genetics, and global health are all direct applications of the current system.

Archives of General Psychiatry: Development of a Computerized Adaptive Test for Depression

Unlike other areas of medicine, psychiatry is almost entirely dependent on patient report to assess the presence and severity of disease; therefore, it is particularly crucial that we find both more accurate and efficient means of obtaining that report. The objective of this study was to develop a computerized adaptive test (CAT) for depression, called the Computerized Adaptive Test–Depression Inventory (CAT-DI), that decreases patient and clinician burden and increases measurement precision. Traditional measurement fixes the number of items administered and allows measurement uncertainty to vary. In contrast, a CAT fixes measurement uncertainty and allows the number of items to vary. The result is a significant reduction in the number of items needed to measure depression and increased precision of measurement.