Publications by authors named "Zeev D"

We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides artificial intelligence- (AI-) enabled feedback to learners across eight CBT skills. We sought to evaluate the technical reliability and to ascertain how practitioners would use the tool to inform product iteration and future deployment. We conducted a single-arm 2-week field trial among behavioral health practitioners who treat outpatients with psychosis.

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In West Africa, the long-term consequences of poor early psychosis recovery include poverty, neglect, and community ostracization. To understand the potential for digital health approaches to support early psychosis care in Ghana, we conducted a survey study among early psychosis patients and their caregivers about mental health needs, technology use and access, and interest in digital mental health. Hospital staff at Accra Psychiatric Hospital reviewed hospital medical records from January 2023 - December 2023 identifying young adults (≥18 years old) who had experienced psychosis symptoms for the first time within the prior five years.

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Background: The Narrative Experiences Online (NEON) Intervention provides self-managed web-based access to mental health recovery narratives (n = 659). We evaluated effectiveness and cost-effectiveness in improving quality of life for adults resident in England with mental health problems and recent psychosis experience.

Methods: Prospectively registered pragmatic parallel-group randomised trial controlling for usual care, recruiting from statutory mental health services and through community engagement activities, with a 52-week primary endpoint (ISRCTN11152837).

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How mHealth and digital innovations are key to transforming mental health care in Ghana, bridging gaps in a system challenged by resource scarcities and a critical shortage of mental health professionals.

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Background: Adolescents and young adults (AYAs) with cancer are at risk of poor psychosocial outcomes. AYAs grew up with the internet and digital technology, and mobile Health (mHealth) psychosocial interventions have the potential to overcome care access barriers.

Objective: This pilot randomized controlled trial (RCT) aimed to establish the feasibility, acceptability, and preliminary efficacy of a fully automated mobile app version of the Promoting Resilience in Stress Management intervention (mPRISM).

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People with serious mental illness (SMI) encounter restrictions in the quantity of their community participation. Less is known about the quality of their participation. We aimed to explore the relationship between symptoms of SMI and the daily experience (i.

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Jordan hosts one of the largest populations of refugees in the world. This study evaluated the capacity, infrastructure, and interest in mobile health interventions to address unmet mental health needs among refugees and non-refugees in Jordan. We surveyed 209 (141 refugees) adults and youth in urban, rural, and refugee camp settings.

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Background: In West Africa, healers greatly outnumber trained mental health professionals. People with serious mental illness (SMI) are often seen by healers in "prayer camps" where they may also experience human rights abuses. We developed "M&M," an 8-week-long dual-pronged intervention involving (1) a smartphone-delivered toolkit designed to expose healers to brief psychosocial interventions and encourage them to preserve human rights (M-Healer app), and (2) a visiting nurse who provides medications to their patients (Mobile Nurse).

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Integrating mobile health (mHealth) interventions into settings that serve diverse patient populations requires that prerequisite professional competencies are delineated and that standards for clinical quality assurance can be pragmatically assessed. Heretofore, proposed mHealth competencies have been broad and have lacked a framework to support specific applications. We outline the meta-competencies identified in the literature relevant to mHealth interventions and demonstrate how these meta-competencies can be integrated with population- and intervention-related competencies to help guide a pragmatic approach to competency assessment.

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Background And Hypothesis: Loneliness, the subjective experience of feeling alone, is associated with physical and psychological impairments. While there is an extensive literature linking loneliness to psychopathology, limited work has examined loneliness in daily life in those with serious mental illness. We hypothesized that trait and momentary loneliness would be transdiagnostic and relate to symptoms and measures of daily functioning.

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Article Synopsis
  • The NEON Intervention is a web-based program that provides access to diverse recovery narratives aimed at supporting individuals with mental health issues, showing effectiveness in two separate trials—NEON Trial for psychosis and NEON-O Trial for nonpsychosis disorders.
  • 34 participants from the NEON Trial and 20 from the NEON-O Trial were interviewed about their experiences, revealing varied engagement levels with the narratives, influenced by personal motivations such as seeking answers or professional development.
  • High-frequency users of the NEON Intervention found the narratives beneficial for coping with mental health challenges, feeling a sense of connection and support; however, some participants felt overwhelmed by the large number of stories available.
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Previous cross-sectional and laboratory research has identified risk factors for persecutory ideation including rumination, negative affect, and safety-seeking behaviors. Questions remain about what in-the-moment factors link general negative affect to PI as well as which maintain PI over time. In the present study, N = 219 individuals completed momentary assessments of PI as well as four factors (attributing threats as certain and important, ruminating, and changing one's behavior in response) proposed to maintain PI over time.

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Narratives describing first-hand experiences of recovery from mental health problems are widely available. Emerging evidence suggests that engaging with mental health recovery narratives can benefit people experiencing mental health problems, but no randomized controlled trial has been conducted as yet. We developed the Narrative Experiences Online (NEON) Intervention, a web application providing self-guided and recommender systems access to a collection of recorded mental health recovery narratives (n=659).

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War, geopolitical instability, and natural disasters have contributed to enormous unmet mental health needs in the Middle East and North Africa. Jordan is a middle-income country that needs internal and international stakeholder engagement and support to effectively provide mental health services to its citizens and to the millions of immigrants and refugees who reside there. This column presents a snapshot of the state of mental health care in Jordan and outlines areas for future investment.

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Background: Caregivers play a critical role in the treatment and recovery of youth and young adults at risk for psychosis. Caregivers often report feeling isolated, overwhelmed, and lacking in resources. Mobile health (mHealth) has the potential to provide scalable, accessible, and in-the-moment support to caregivers.

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Infection in an immunocompromised person can be a life-threatening emergency. Collection of blood culture specimens is an important method for detecting organisms when infection is suspected. One aspect of proper blood culture collection is obtaining an accurate blood volume in the sample in accordance with the blood culture bottle manufacturer's recommendation.

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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.

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Objectives: Though often a feature of schizophrenia-spectrum disorders, persecutory ideation (PI) is also common in other psychiatric disorders as well as among individuals who are otherwise healthy. Emerging technologies allow for a more thorough understanding of the momentary phenomenological characteristics that determine whether PI leads to significant distress and dysfunction. This study aims to identify the momentary phenomenological features of PI associated with distress, dysfunction, and need for clinical care.

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Background: Anhedonia and amotivation are symptoms of many different mental health disorders that are frequently associated with functional disability, but it is not clear whether the same processes contribute to motivational impairments across disorders. This study focused on one possible factor, the willingness to exert cognitive effort, referred to as cognitive effort-cost decision making.

Methods: We examined performance on the deck choice task as a measure of cognitive effort-cost decision making, in which people choose to complete an easy task for a small monetary reward or a harder task for larger rewards, in 5 groups: healthy control (n = 80), schizophrenia/schizoaffective disorder (n = 50), bipolar disorder with psychosis (n = 58), current major depression (n = 60), and past major depression (n = 51).

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In addition to being a hallmark symptom of schizophrenia-spectrum disorders, auditory verbal hallucinations (AVH) are present in a range of psychiatric disorders as well as among individuals who are otherwise healthy. People who experience AVH are heterogeneous, and research has aimed to better understand what characteristics distinguish, among those who experience AVH, those who experience significant disruption and distress from those who do not. The cognitive model of AVH suggests that appraisals of voices determine the extent to which voices cause distress and social dysfunction.

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Article Synopsis
  • The study aimed to see if natural language processing (NLP) can identify cognitive distortions in messages between clinicians and clients with serious mental illness, similar to trained human raters.* -
  • Researchers analyzed over 7,000 text messages, having clinicians label them for distortions like catastrophizing and overgeneralizing, then compared NLP classification methods to these human assessments.* -
  • The best NLP model achieved comparable accuracy to the clinical raters, indicating that NLP could be a valuable tool for scaling automated clinical support in message-based mental health care.*
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Challenges in training, dissemination, and implementation have impeded the ability of providers to integrate promising digital health tools in real-world services. There is a need for generalizable strategies to rapidly train real-world providers at scale to support the adoption of digital health. This study describes the development of principles guiding rapid training of community-based clinicians in the support of digital health.

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Background: Psychiatric hospitalization is a major driver of cost in the treatment of schizophrenia. Here, we asked whether a technology-enhanced approach to relapse prevention could reduce days spent in a hospital after discharge.

Methods: The Improving Care and Reducing Cost (ICRC) study was a quasi-experimental clinical trial in outpatients with schizophrenia conducted between 26 February 2013 and 17 April 2015 at 10 different sites in the USA in an outpatient setting.

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Background: Behavioral representations obtained from mobile sensing data can be helpful for the prediction of an oncoming psychotic relapse in patients with schizophrenia and the delivery of timely interventions to mitigate such relapse.

Objective: In this study, we aim to develop clustering models to obtain behavioral representations from continuous multimodal mobile sensing data for relapse prediction tasks. The identified clusters can represent different routine behavioral trends related to daily living of patients and atypical behavioral trends associated with impending relapse.

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