The vast majority of young adults with early psychosis own mobile phones, identify texting as their preferred communication modality, and report an interest in messaging-based treatments. We developed a texting intervention for people with psychosis called the Mobile Interventionist. Treatment is conducted via daily recovery-oriented text conversations between patients and a trained messaging practitioner. This novel form of engagement produces an asynchronous but continuous form of treatment and combines the advantages of digital health (i.e., accessibility, reach beyond the brick-and-mortar clinic, low intensity), with the flexibility, personal tone and sensitivity of a clinician. Several studies have demonstrated that our texting intervention approach is feasible, acceptable, engaging and effective. This initiative will help translate this promising research into real-world clinical practice by implementing the Mobile Interventionist texting model at the University of Washington’s Specialized Treatment Program for Early Psychosis (STEP).
Clinically, the intervention may improve the illness management of young adults with early psychosis participating in the pilot, improving their long-term trajectories. Programmatically, the pilot bridges the research/practice gap by providing training and guided clinical experience to a real-world clinical team.
Traumatic brain injury (TBI) is a major cause of disability in Washington state and throughout the US. TBI increases the risk and complexity of multiple behavioral health conditions including post traumatic stress disorder, depression, anxiety, irritability, anger/aggression, substance misuse and cognitive impairment. In addition, TBI impairs a person’s ability to manage their health care and increases the risk of unemployment, long-term functional impairment, and caregiver burnout. Successful TBI recovery can depend in large part on access to and engagement in behavioral health treatment. Unfortunately, TBI-focused community resources are scarce and fragmented. Treatment of post-TBI symptoms often falls to community providers who have little support and are under-prepared to manage these complexities. This burden disproportionally affects rural providers who have little access to specialist care at academic centers.
The purpose of this project is to create and assess the use of the ECHO (Extension for Community Healthcare Outcomes) model to provide education and support by experienced TBI experts to community providers who treat persons with TBI. The ECHO model uses both a virtual educational lecture series and patient case discussion to improve provider preparedness to treat patients and improve patient outcomes. We will launch a monthly to bi-monthly program that will train providers from a variety of disciplines and settings in identification and evidence-based behavioral health treatments, web technologies and mobile technologies, and provide detailed case consultation. We will assess the success, reach and impact of our TBI ECHO by collecting and comparing attendee experiences, clinical information and patient outcomes.
This project received two years of additional funding from the Washington State Department of Social and Health Services.
On top of climate change, political divisiveness and cultural turbulence, we have faced the most devastating pandemic since global influenza 100 years ago. The resulting social and economic stresses have manifested as widespread anxiety, a worsening opioid epidemic and the highest suicide rates in decades.
Proven behavioral health strategies like Caring Contacts offer hope. Caring Contacts is a program where suicidal individuals receive periodic letters or text messages from a behavioral health practitioner, creating a connection and showing someone cares. Caring Contacts have reduced suicide deaths, attempts and thoughts of suicide and offer an easy re-connection to healthcare, but behavioral health practitioners are in high demand and short supply and often struggle with prioritizing messages and sending timely replies. By analyzing a patient’s text messages, computerized algorithms can identify indicators of risk and other important information to help behavioral health practitioners with the nature and timing of their responses, allowing one behavioral health practitioner to reach hundreds of suicidal patients.
This project brings together behavioral health care, mobile technologies that people now expect and innovative informatics methods to identify critical signs of suicide risk that busy practitioners may miss. Our team consists of experts in behavioral health, usability and design, artificial intelligence/natural language processing, software engineering, health care information systems and emergency medicine. Our goal is simple: to use technology to provide critical support for those in crisis, and to save lives.
After COVID infection, 10-50% of people experience persistent symptoms such as fatigue, palpitations, insomnia, cognitive problems, and headache – often with significant associated distress and functional impairment. The exact combination of symptoms varies from person to person, and it is expected that the specific causes vary from person to person as well.
Because of this variability, the current recommendation is for an evaluation by a multidisciplinary team. This creates a demand on our medical system that far outstrips current resources, and risks exposing patients to long, complex medical evaluations whose results are hard to interpret. In addition, clinical treatment trials that mix patients with similar symptoms but different underlying causes have high failure rates.
To address these challenges, a team of investigators including Rebecca Hendrickson, MD, PhD (Department of Psychiatry and Behavioral Sciences), John Oakley, MD, PhD (Department of Neurology), and Aaron Bunnell, MD (Department of Rehabilitation Medicine) are testing an online platform to identify patients whose pattern of symptoms suggest a particular underlying cause that is common after certain physiologic (i.e. illness or injury) and psychological stressors: increased adrenergic (adrenaline/noradrenaline) signaling in the brain and peripheral nervous system. We will pair this with a smaller number of detailed in-person assessments to validate our symptom-based measures and characterize associated biomarkers.
Our results will provide a detailed assessment of the patterns of symptoms caused by high amounts of adrenergic signaling that are seen in persistent post-COVID syndrome, how they change over time, and their association with objective measures of cognition and physiology. The project will provide the information needed to begin clinical treatment trials using existing, well-tolerated treatments that modulate adrenergic signaling. We hope the results will also have strong relevance to other potentially related disorders such as Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and fibromyalgia.
The purpose of this study is to: 1) compare schools randomized to the RUBIES intervention or a usual-care in-service training on teacher burnout and disruptive behavior in children with autism spectrum disorder; and 2) test RUBIES’ mechanisms of change (knowledge and skills) on teacher (burnout), child (disruptive behavior), and implementation outcomes (fidelity).
Explore and suggest policy solutions in response to the public health challenges of high tetrahydrocannabinol potency cannabis. ADAI will host stakeholder sessions to gain perspectives, seek common ground, evaluate, and assess potential policy solutions culminating in a final recommendation report.
The major goal of this project is to evaluate the feasibility and effectiveness of an integrated intervention approach for co-users of marijuana and tobacco who are seeking treatment for tobacco addiction.
Of every 10 women in rural
India, one suffers from a common mental disorder such as depression. For many,
depression goes untreated and is associated with increased morbidity and
mortality rates. Several factors, specifically for women in rural India,
including stigma, lack of provider mental health workforce, and travel times.
Therefore, there is an urgent need to improve detection and treatment rates
among women without overburdening the scarce mental health resources in rural
India.
The “Mobile Mental Health in Community-Based
Organizations: A Stepped Care Approach to Women’s Mental Health” study
aims to develop and implement a mobile mental health intervention for women
through community-based organizations. The intervention is delivered in a
stepped-care approach where women receive different levels of intervention
depending on the severity of their mental health needs.
