A partnership to provide comprehensive perinatal mental health and parenting support for the first 1,000 days
The Raising Washington Initiative seeks to develop an evidence-based fully integrated perinatal support program that will offer mental health care, parent training and support services for the first 1,000 days of a baby’s life (conception through child’s 2nd birthday) for every high-risk baby born in Washington. This will include creating care pathways informed by the needs of patients and providers, navigators to help guide families through the many care transitions in the perinatal period and accessible information to keep parents and babies healthy.
To learn more this work, please contact Project Manager Lori Ferro, MHA at ljf9@uw.edu.
This project aims to understand how concerns about pregnancy, whether planning for a child or trying to avoid an unintended one, affect women’s sexual well-being. Despite public health goals to reduce unintended pregnancies and STDs (Higgins et al., 2009), and the importance of sexual health to overall quality of life (Flynn et al., 2016), little research has explored the specific impact of pregnancy-related worries on sexual satisfaction and experience in women who are not currently pregnant (Bond et al., 2023a; Higgins et al., 2009). We know that sexual function issues are prevalent even among women planning pregnancy. We propose to explore pregnancy concerns and sexual quality of life among women (Bond et al., 2023b). We will then provide targeted education (depending on the responses in the survey and can differ for each individual) addressing their specific concerns and measure their sexual quality of life again to see if this information helps improve their sexual experience. The findings will highlight the sexual health needs related to pregnancy concerns and inform future educational programs.
Children with comorbid mental health and neurodevelopmental disorders (NDDs) often require more intensive and coordinated care than those with mental health disorders alone. These two categories of disorders often present with comorbidity and engagement disparities in integrated behavioral health programs among this population remain poorly understood. This study examines differences in service utilization and attrition rates between these two populations using retrospective electronic health record (EHR) data from the SCCN study population (ages 6-18) across multiple primary care sites.
We will analyze visit frequency over a 6-12 month period to assess whether children with comorbid NDDs have higher service utilization. Additionally, early dropout rates will be examined using Kaplan-Meier survival analysis and Cox proportional hazards models to identify risk factors for attrition. Findings will provide critical insights into engagement patterns, informing strategies to enhance retention, reduce access disparities, and improve care coordination for children with complex behavioral needs. This study will contribute to investigating further integrated care model improvements in order to ensure more equitable and sustained mental health treatment for vulnerable pediatric populations.
Many psychiatric disorders involve an abnormality in movements, termed ‘psychomotor’
dysfunction, that reflects aberrant activity of the brain circuits producing behavior. Nevertheless,
psychomotor mechanisms remain poorly understood. One possible source of psychomotor dysfunction is alterations in neuromodulatory transmitters, such as norepinephrine (NE), which is broadcast throughout the brain from a small brainstem region called locus coeruleus (LC). LC-NE is implicated in psychiatric disorders including depression, PTSD, ADHD, and dementia, with behavioral neuroscience studies demonstrating roles in arousal and decision-making. LC-NE is often studied in psychiatry on the timescale of minutes to hours with a focus on NE drugs, leaving underexamined the precise temporal relationship between LC neural activity and discrete components of motivated behavior. This proposal aims to identify psychomotor functions of LC-NE in decision-making at the level of neural circuit activity in mice. We leverage powerful techniques to record LC neural activity with high spatiotemporal precision while simultaneously deploying advances in AI machine vision technology to quantify the mouse’s movements. By precisely quantifying movement patterns and LC-NE activity, we aim to characterize basic psychomotor functions related to cognition. In turn, our work will build a foundation for noninvasive, mechanistic biomarkers that enhance the diagnosis and management of psychiatric disorders.
Hundreds of millions of people are already using Large Language Models (LLMs), including for mental health purposes, which has led to inadvertent harms. Critically, people with mental health conditions may be especially vulnerable to such harms.
In this project, we will develop the first computational framework to systematically quantify and benchmark the risks that LLMs present to people with mental health conditions. Our approach will simulate interactions of hundreds of users and LLMs to evaluate safety across a variety of mental health conditions, demographics, and AI failure modes.
This project aims to develop a clinical scaffolding system to enhance telemental health care by providing real-time coaching and actionable suggestions during video-based sessions. Modeled after live supervision methodologies, it supports clinicians by identifying intervention targets and offering text-based coaching prompts to guide care. Unlike automated chatbots, this approach enables clinicians to adapt suggestions to patient needs, balancing automation with oversight for safer AI-supported mental healthcare. The proposed in-session support will facilitate efficient implementation of strategies and clinician skill development. This project seeks to enhance data privacy by processing all data on-device and avoiding external data transfers.
Consultation-liaison psychiatrists are often asked to manage mood and anxiety symptoms experienced by patients admitted to medical and surgical floors of the hospital. This study aims to determine the feasibility and effectiveness of a self-directed mindfulness intervention as an adjunctive treatment for improving mood, anxiety, and perceived stress in medically hospitalized patients. Participants, consisting of patients evaluated by the consultation-liaison psychiatry service, will be randomized to an adjunctive mindfulness intervention group or a treatment-as-usual control group. Feasibility and acceptability of implementing a mindfulness intervention will be assessed. Group differences in the changes in symptom severity and psychotropic medication administration will be investigated.
