Co-production of a state-funded centralized psychosis and psychosis risk screening, assessment, and referral service.

Learning Health Systems (LHSs) strive to continuously integrate innovations and evidence-based practices in healthcare settings, thereby enhancing programmatic and patient outcomes. Duration of untreated psychosis (DUP) is a variable worthy of empirical attention, as the construct has been identified as a leading predictor of psychotic spectrum disorder prognosis and, despite the proliferation of early intervention for psychosis (EIP) teams across the U.S.

Supporting psychosis research, implementation, and training through an academic intermediary-purveyor organization.

Intermediary-purveyor organizations (IPOs) are a type of dissemination support system that are intended to enhance the adoption and sustainment of empirically supported treatments (ESTs) by deploying empirically supported strategies to remediate implementation challenges. Despite the recent proliferation of government-funded IPOs for other psychiatric populations, IPOs that can redress the substantial science-to-practice gap among clients who experience psychotic disorders are not well documented. This article provides an overview of an IPO in an R1 academic medical center whose mission is to enhance access to evidence-based interventions for individuals who have or are at risk for a psychotic disorder.

Cost of Implementing mHealth in Community Mental Health Settings: External Versus Internal Facilitation.

Objective: This study aimed to compare the costs of two implementation models for the mobile health (mHealth) intervention FOCUS in community mental health settings. The external facilitation (EF) approach uses a hub-and-spoke model, in which a central specialist provides support to clinicians and clients at multiple agencies. With the internal facilitation (IF) approach, frontline clinical staff at each center are trained to serve as their organization's local specialists.

Expanding the Reach of Research: Quantitative Evaluation of a Web-Based Approach for Remote Recruitment of People Who Hear Voices.

Background: Similar to other populations with highly stigmatized medical or psychiatric conditions, people who hear voices (ie, experience auditory verbal hallucinations [AVH]) are often difficult to identify and reach for research. Technology-assisted remote research strategies reduce barriers to research recruitment; however, few studies have reported on the efficiency and effectiveness of these approaches.

Objective: This study introduces and evaluates the efficacy of technology-assisted remote research designed for people who experience AVH.

Mobile RDoC: Using Smartphones to Understand the Relationship Between Auditory Verbal Hallucinations and Need for Care.

Objective: Auditory verbal hallucinations (AVH) are common in multiple clinical populations but also occur in individuals who are otherwise considered healthy. Adopting the National Institute of Mental Health's Research Domain Criteria (RDoC) framework, the aim of the current study was to integrate a variety of measures to evaluate whether AVH experience varies across clinical and nonclinical individuals.

Methods: A total of 384 people with AVH from 41 US states participated in the study; 295 participants (77%) who received inpatient, outpatient, or combination treatments for AVH and 89 participants (23%) who never received care.

Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia.

Schizophrenia is a severe and complex psychiatric disorder with heterogeneous and dynamic multi-dimensional symptoms. Behavioral rhythms, such as sleep rhythm, are usually disrupted in people with schizophrenia. As such, behavioral rhythm sensing with smartphones and machine learning can help better understand and predict their symptoms.

Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks.

Background: Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the severity of symptomatic experiences and functional impairments vacillate over the course of illness. Developing unobtrusive remote monitoring systems to detect early warning signs of impending symptomatic relapses would allow clinicians to intervene before the patient's condition worsens.

Objective: In this study, we aim to create the first models, exclusively using passive sensing data from a smartphone, to predict behavioral anomalies that could indicate early warning signs of a psychotic relapse.

Perspectives on Mobile Health Versus Clinic-Based Group Interventions for People With Serious Mental Illnesses: A Qualitative Study.

Objective: This study built on research comparing a mobile health intervention (FOCUS) and a clinic-based intervention (Wellness Recovery Action Planning [WRAP]) for self-management of serious mental illnesses. Qualitative interviews were conducted to provide additional insight into engagement and satisfaction and augment understanding of clinical outcomes.

Methods: Individuals (N=31) with serious mental illness participating in a comparative effectiveness trial were interviewed.

Capturing behavioral indicators of persecutory ideation using mobile technology.

Most existing measures of persecutory ideation (PI) rely on infrequent in-person visits, and this limits their ability to assess rapid changes or real-world functioning. Mobile health (mHealth) technology may address these limitations. Little is known about passively sensed behavioral indicators associated with PI.

Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report.

Social dysfunction is a hallmark of schizophrenia. Social isolation may increase individuals' risk for psychotic symptom exacerbation and relapse. Monitoring and timely detection of shifts in social functioning are hampered by the limitations of traditional clinic-based assessment strategies.

Life with FOCUS: A qualitative evaluation of the impact of a smartphone intervention on people with serious mental illness.

Objective: A growing body of literature indicates that mobile health (mHealth) interventions that utilize smartphones for illness management are feasible, acceptable, and clinically promising. In this study, we examine how individuals with serious mental illness use a mHealth intervention-FOCUS-to self-manage their illnesses. Additionally, we explored participant perceptions of the intervention's impact on their subjective illness experience.

Mobile Health (mHealth) Versus Clinic-Based Group Intervention for People With Serious Mental Illness: A Randomized Controlled Trial.

Objective: mHealth approaches that use mobile phones to deliver interventions can help improve access to care for people with serious mental illness. The goal was to evaluate how mHealth performs against more traditional treatment.

Methods: A three-month randomized controlled trial was conducted of a smartphone-delivered intervention (FOCUS) versus a clinic-based group intervention (Wellness Recovery Action Plan [WRAP]).

Use of Multimodal Technology to Identify Digital Correlates of Violence Among Inpatients With Serious Mental Illness: A Pilot Study.

Objective: The study examined multimodal technologies to identify correlates of violence among inpatients with serious mental illness.

Methods: Twenty-eight high-risk inpatients were provided with smartphones adapted for data collection. Participants recorded their thoughts and behaviors by using self-report software.

mHealth for mental health in the Middle East: Need, technology use, and readiness among Palestinians in the West Bank.

Palestinians in the West Bank are at heightened risk for mental health problems. Limited availability of clinicians and a host of geopolitical, topographical, and infrastructural challenges create significant regional barriers to clinic-based care. The objective of this study was to examine whether mHealth approaches that leverage mobile phones for remote mental health treatment may be viable alternatives.

CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse.

Objective: This purpose of this study was to describe and demonstrate CrossCheck, a multimodal data collection system designed to aid in continuous remote monitoring and identification of subjective and objective indicators of psychotic relapse.

Method: Individuals with schizophrenia-spectrum disorders received a smartphone with the monitoring system installed along with unlimited data plan for 12 months. Participants were instructed to carry the device with them and to complete brief self-reports multiple times a week.

Using Facebook to Reach People Who Experience Auditory Hallucinations.

Background: Auditory hallucinations (eg, hearing voices) are relatively common and underreported false sensory experiences that may produce distress and impairment. A large proportion of those who experience auditory hallucinations go unidentified and untreated. Traditional engagement methods oftentimes fall short in reaching the diverse population of people who experience auditory hallucinations.

Video-based mobile health interventions for people with schizophrenia: Bringing the "pocket therapist" to life.

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 with schizophrenia spectrum disorders were recruited for a month-long trial in which they used FOCUS-Audio/Video (FOCUS-AV), a smartphone system that offers video and written intervention options.

Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia.

Objective: This study examined the feasibility, acceptability, and utility of behavioral sensing among individuals with schizophrenia.

Methods: Nine outpatients and 11 inpatients carried smartphones for two- or one-week periods, respectively. Device-embedded sensors (accelerometers, microphone, global positioning system, WiFi, and Bluetooth) collected behavioral data and ascertained the patients' location, activity, and exposure to human speech as they went about their day.

Mobile health (mHealth) for mental health in Asia: objectives, strategies, and limitations.

Mobile technologies are transforming the way in which we interact with one another, access resources, find information, and conduct business around the world. Harnessing the capabilities of mobile technologies to support health care initiatives worldwide has developed into a new interdisciplinary field called mobile health (mHealth). In the current paper, we review the penetration of mobile technology in Asia, and consider the integration of mobile technologies into the study, diagnoses, and treatment of mental disorders in the region.