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Effectiveness, Engagement, and Safety of a Digital Therapeutic (CT-155/BI 3972080) for Treating Negative Symptoms in People With Schizophrenia: Protocol for the Phase 3 CONVOKE Randomized Controlled Trial

Effectiveness, Engagement, and Safety of a Digital Therapeutic (CT-155/BI 3972080) for Treating Negative Symptoms in People With Schizophrenia: Protocol for the Phase 3 CONVOKE Randomized Controlled Trial

Schizophrenia is a complex psychiatric condition with a large disease burden and is one of the top causes of disability globally, presenting considerable challenges for patients, caregivers, and health care systems [1-4]. In the United States, people living with schizophrenia have a severely reduced life expectancy (losing ≈28.5 years of life) [5] and significantly higher mortality rate [6] than the general population.

Shaheen E Lakhan, Cornelia Dorner-Ciossek, Olya Besedina, Faith Dickerson, Claudia Hastedt, Ridwana Isla, René S Kahn, Jean-Pierre Lindenmayer, Ruchi Mehta, Cassandra Snipes, Austin Speier, Wenbo Tang, Bailey Willis, Jamie Winderbaum Fernandez, Christoph von der Goltz, Abhishek Pratap

JMIR Res Protoc 2025;14:e81293


Active Video Games to Improve Behavioral Intentions and Cognitive Function in Patients With Schizophrenia: Randomized Controlled Trial

Active Video Games to Improve Behavioral Intentions and Cognitive Function in Patients With Schizophrenia: Randomized Controlled Trial

Schizophrenia can lead to high functional disability and is associated with a heavy economic burden worldwide. The World Health Organization lists it as one of the top 10 conditions in terms of the global burden of disease [1,2]. Schizophrenia is a disease characterized by impairments in cognitive functions.

Huan-Hwa Chen, Ching-Ching Lin, Man-Ling Yu, Hsiu-Lan Wu, Hui-Chu Shen, Hsiu-Fen Hsieh

JMIR Serious Games 2025;13:e69116


Clinical Utility of Early Intervention Including the 5-Step Precision Medicine Method in First-Episode Psychosis: Protocol for a Cohort Study With Nested Economic and Process Evaluations

Clinical Utility of Early Intervention Including the 5-Step Precision Medicine Method in First-Episode Psychosis: Protocol for a Cohort Study With Nested Economic and Process Evaluations

Psychotic illnesses such as schizophrenia and related conditions are a major issue for public health care systems; they cause severe disability and are expensive to treat. As the illness becomes manifest during adolescence or young adulthood, nonspecific signs such as anxiety, depression, and emerging psychotic features form a prelude to the full psychotic syndrome that may last for months or even years before patients seek help or receive treatment.

Jesús Pérez, David Heredero Jung, Óscar Gonzalo, Belén García Berrocal, Carmen García Cerdán, Pablo Salas Aranda, Alejandro de la Sota Pérez, Sandra Milagros Lorenzo Hernández, Elena Marcos Vadillo, Rocío García García, Vanesa Berdión Marcos, Ana Maciá Casas, Belén Refoyo Matellán, Berta Bote Bonaechea, Llanyra García Ullán, Carolina Lorenzo Romo, Carmen Martín Gómez, Concha Turrión Gómez, María Isidoro García

JMIR Res Protoc 2025;14:e74408


Smartphone-Based Self-Monitoring in First Episode Psychosis: Mixed-Methods Study of Barriers and Facilitators to Engagement

Smartphone-Based Self-Monitoring in First Episode Psychosis: Mixed-Methods Study of Barriers and Facilitators to Engagement

Participants were eligible if they were aged 18‐40 and had experienced a FEP in the 24 months prior to entering the study as defined by a DSM-IV diagnosis of schizophrenia, schizophreniform disorder, schizoaffective disorder, or delusional disorder based on the Structured Clinical Interview for DSM-IV (SCID-I) [22]. Finally, participants were required to have access to a smartphone with internet data.

Maria Chiara Del Piccolo, Ryan Hammoud, Maisie Khan, Vanessa Shanon D'Costa, Aljawharah Almuqrin, Anna Georgiades, Stefania Tognin, Andrea Mechelli

J Med Internet Res 2025;27:e71989


Feasibility and Acceptability of Remotely Accessed Compensatory Cognitive Training for Japanese People With Schizophrenia: Pilot Study

Feasibility and Acceptability of Remotely Accessed Compensatory Cognitive Training for Japanese People With Schizophrenia: Pilot Study

Schizophrenia is a chronic mental disorder that often negatively affects the daily life of individuals living with the condition, including their community and social life, due to positive and negative symptoms as well as cognitive dysfunction [1]. The main treatment for schizophrenia is pharmacotherapy, with antipsychotics primarily improving positive symptoms but affecting negative symptoms and cognitive dysfunction less [2].

Ritsuko Aijo, Mie Matsui

JMIR Form Res 2025;9:e70916


Determinant Factors of Stress in Caregivers of Patients With Schizophrenia: Cross-Sectional Study

Determinant Factors of Stress in Caregivers of Patients With Schizophrenia: Cross-Sectional Study

The burden of caregiving was quantified using Zarit’s Caregiver Burden [25], and caregiver knowledge was measured through the Knowledge Assessment Schizophrenia Test [26,27]. Additionally, medication noncompliance among patients with schizophrenia was assessed using the Medication Compliance Report Scale [28]. Each instrument was rigorously validated at the Bungoro Health Center, Pangkep Regency, to ensure high reliability and validity (Table 1).

Isymiarni Syarif, Hasnawati Amqam, Saidah Syamsuddin, Veni Hadju, Syamsiar Russeng, Yusran Amir

JMIR Form Res 2025;9:e70648


mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation

mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation

In the same vein, data mining and visualization are thus important in the case of schizophrenia, where understanding behavioral patterns and predicting relapse significantly impact patient outcomes. The current literature strongly supports the notion that data visualizations have the potential to improve clinicians’ engagement and effectively communicate trends in patient data [13,14].

Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

JMIR Form Res 2025;9:e70073


Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation

For instance, individuals with schizophrenia often exhibit disturbances in their speech patterns, characterized by disorganized syntax and impaired semantic coherence [3]. Similarly, individuals with borderline personality disorder (BPD) have higher levels of overall expressive language impairment, as well as decreased syntactic and lexical complexity [4]. Furthermore, quantitative analysis of language usage can aid in tracking disease progression and treatment response.

Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

JMIR AI 2025;4:e67369


Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Suicide is a common cause of premature mortality among people living with schizophrenia [3,4] and a recent systematic review has reported a point prevalence of nearly 30% of SIs in people with schizophrenia [5]. Most of the empirical research on the risks of suicidality includes cross-sectional or retrospective studies that distinguish the characteristics between people who experience SIs or suicidal behavior, and those who do not [6-8].

Ameya P Bondre, Aashish Ranjan, Ritu Shrivastava, Deepak Tugnawat, Nirmal Kumar Chaturvedi, Anant Bhan, Snehil Gupta, Abhijit R Rozatkar, Srilakshmi Nagendra, Siddharth Dutt, Soumya Choudhary, Preethi V Reddy, Urvakhsh Meherwan Mehta, John A Naslund, John Torous

JMIR Form Res 2025;9:e67745