A5025137249- Digital Mental Health Interventions
- Mental Health Research Topics
- Schizophrenia research and treatment
- Mental Health Treatment and Access
- Mobile Health and mHealth Applications
- Psychosomatic Disorders and Their Treatments
- Functional Brain Connectivity Studies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Telemedicine and Telehealth Implementation
- Family Caregiving in Mental Illness
- Impact of Technology on Adolescents
- Advertising and Communication Studies
- Child and Adolescent Psychosocial and Emotional Development
- Social Media in Health Education
- Science, Research, and Medicine
- Chemical Safety and Risk Management
- Safety Systems Engineering in Autonomy
- Emotion and Mood Recognition
- Neural dynamics and brain function
- Mental Health and Patient Involvement
- ICT in Developing Communities
- Biotechnology and Related Fields
- Psychological Treatments and Assessments
- Health Policy Implementation Science
- Healthcare Decision-Making and Restraints
University of Washington
2018-2025
Behavioral Tech Research, Inc.
2019-2021
Dartmouth College
2015-2019
Northwestern University
2018-2019
University of Illinois Chicago
2018
Thresholds
2018
New Hampshire Hospital
2017
Dartmouth Hospital
2016-2017
Dartmouth Psychiatric Research Center
2014-2016
Dartmouth Institute for Health Policy and Clinical Practice
2016
Early detection of mental health changes in individuals with serious illness is critical for effective intervention. CrossCheck the first step towards passive monitoring indicators patients schizophrenia and paves way relapse prediction early In this paper, we present initial results from an ongoing randomized control trial, where smartphone sensor data collected 21 outpatients recently discharged hospital over a period ranging 2-8.5 months. Our indicate that there are statistically...
This purpose of this study was to describe and demonstrate CrossCheck, a multimodal data collection system designed aid in continuous remote monitoring identification subjective objective indicators psychotic relapse.
mHealth approaches that use mobile phones to deliver interventions can help improve access care for people with serious mental illness. The goal was evaluate how performs against more traditional treatment.A three-month randomized controlled trial conducted of a smartphone-delivered intervention (FOCUS) versus clinic-based group (Wellness Recovery Action Plan [WRAP]). Participants were 163 clients, mostly from racial minority groups and long-term, illness (schizophrenia or schizoaffective...
This study examined the feasibility, acceptability, and utility of behavioral sensing among individuals with schizophrenia.Nine outpatients 11 inpatients carried smartphones for two- or one-week periods, respectively. Device-embedded sensors (accelerometers, microphone, global positioning system, WiFi, Bluetooth) collected data ascertained patients' location, activity, exposure to human speech as they went about their day. Participants rated this approach by completing usability...
Continuously monitoring schizophrenia patients’ psychiatric symptoms is crucial for in-time intervention and treatment adjustment. The Brief Psychiatric Rating Scale (BPRS) a survey administered by clinicians to evaluate symptom severity in schizophrenia. CrossCheck prediction system capable of tracking based on BPRS using passive sensing from mobile phones. We present results an ongoing randomized control trial, where data, self-reports, clinician 7-item surveys are collected 36 outpatients...
Background Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the severity of symptomatic experiences and functional impairments vacillate over course illness. Developing unobtrusive remote monitoring systems to detect early warning signs impending relapses would allow clinicians intervene before patient’s condition worsens. Objective In this study, we aim create first models, exclusively using passive sensing data from a smartphone, predict behavioral anomalies that could...
Objective To examine whether video-based mobile health (mHealth) interventions are feasible, acceptable, understandable, and engaging to people with schizophrenia. Method This study used a mixed-methods design. Ten individuals schizophrenia spectrum disorders were recruited for month-long trial in which they FOCUS-Audio/Video (FOCUS-AV), smartphone system that offers video written intervention options. Participants completed posttrial measures engaged semistructured interviews. Findings One...
Schizophrenia is a severe and complex psychiatric disorder with heterogeneous dynamic multi-dimensional symptoms. Behavioral rhythms, such as sleep rhythm, are usually disrupted in people schizophrenia. As such, behavioral rhythm sensing smartphones machine learning can help better understand predict their Our goal to fine-grained symptom changes interpretable models. We computed rhythm-based features from 61 participants 6,132 days of data used multi-task ecological momentary assessment...
Impaired social functioning is a symptom of mental illness (e.g., depression, schizophrenia) and wide range other conditions cognitive decline in the elderly, dementia). Today, assessing relies on subjective evaluations self assessments. We propose different approach collect detailed measures objective mobile sensing data from N=55 outpatients living with schizophrenia to study new methods passively accessing functioning. identify number behavioral patterns data, discuss important...
We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides artificial intelligence- (AI-) enabled feedback to learners across eight CBT skills. sought evaluate the technical reliability and ascertain how practitioners would use inform product iteration future deployment. conducted a single-arm 2-week field trial among health who treat outpatients with psychosis. Practitioners (N = 21) were invited AI-enabled over (15 days, inclusive) period. To enable...
The accessibility of training and fidelity assessment is critical to implementing sustaining empirically supported psychotherapies like cognitive behavioral therapy for psychosis (CBTp). We describe the development an online CBTp tool that incorporates rehearsal tasks enable deliberate practice techniques psychosis. process consisted designing content, inclusive didactics, client profiles, learner prompts; constructing standardized performance metrics; collecting responses establishing...
A growing body of literature indicates that mobile health (mHealth) interventions utilize smartphones for illness management are feasible, acceptable, and clinically promising. In this study, we examine how individuals with serious mental use a mHealth intervention-FOCUS-to self-manage their illnesses. Additionally, explored participant perceptions the intervention's impact on subjective experience.
The study examined multimodal technologies to identify correlates of violence among inpatients with serious mental illness.Twenty-eight high-risk were provided smartphones adapted for data collection. Participants recorded their thoughts and behaviors by using self-report software. Sensors embedded in each device (microphone accelerometers) throughout the inpatient unit (Bluetooth beacons) captured patients' activity location.Self-reported delusions associated violent ideation (odds ratio...
Auditory hallucinations (eg, hearing voices) are relatively common and underreported false sensory experiences that may produce distress impairment. A large proportion of those who experience auditory go unidentified untreated. Traditional engagement methods oftentimes fall short in reaching the diverse population people hallucinations.The objective this proof-of-concept study was to examine viability leveraging Web-based social media as a method engaging evaluate their attitudes toward...
Schizophrenia is a severe psychiatric disorder. We use the CrossCheck study dataset to develop methods predict whether or not patient with schizophrenia going relapse from mobile phone data. Out of 75 patients in year long randomized controlled trial only 27 episodes occur. apply various techniques address predicting rare events longitudinal dataset. resampling combining oversampling examples and undersampling non-relapse impute missing To avoid overfitting, we feature selection...
Continuously monitoring schizophrenia patients' psychiatric symptoms is crucial for in-time intervention and treatment adjustment. The Brief Psychiatric Rating Scale (BPRS) a survey administered by clinicians to evaluate symptom severity in schizophrenia. CrossCheck prediction system capable of tracking as measured BPRS using passive sensing from mobile phones. We present results randomized control trial, where data, self-reports, clinician 7-item surveys are collected 36 outpatients with...
Abstract Objective Auditory verbal hallucinations (AVH) are common in multiple clinical populations but also occur individuals who otherwise considered healthy. Adopting the National Institute of Mental Health’s Research Domain Criteria (RDoC) framework, aim current study was to integrate a variety measures evaluate whether AVH experience varies across and nonclinical individuals. Methods A total 384 people with from 41 US states participated study; 295 participants (77%) received inpatient,...
Intermediary-purveyor organizations (IPOs) are a type of dissemination support system that intended to enhance the adoption and sustainment empirically supported treatments (ESTs) by deploying strategies remediate implementation challenges. Despite recent proliferation government-funded IPOs for other psychiatric populations, can redress substantial science-to-practice gap among clients who experience psychotic disorders not well documented. This article provides an overview IPO in R1...
This study built on research comparing a mobile health intervention (FOCUS) and clinic-based (Wellness Recovery Action Planning [WRAP]) for self-management of serious mental illnesses. Qualitative interviews were conducted to provide additional insight into engagement satisfaction augment understanding clinical outcomes.Individuals (N=31) with illness participating in comparative effectiveness trial interviewed. Interviewees sampled purposively range the interventions. Interviews inquired...