Mobile Therapeutic Attention for Treatment-Resistant Schizophrenia (m-RESIST) Solution for Improving Clinical and Functional Outcomes in Treatment-Resistant Schizophrenia: Prospective, Multicenter Efficacy Study
Authors:
- Jussi SeppäläJussi Seppälä
- Eva GrasaEva Grasa
- Anna Alonso-SolisAnna Alonso-Solis
- Alexandra Roldan-BejaranoAlexandra Roldan-Bejarano
- Marianne HaapeaMarianne Haapea
- Matti IsohanniMatti Isohanni
- Jouko MiettunenJouko Miettunen
- Johanna Caro MendivelsoJohanna Caro Mendivelso
- Cari AlmazánCari Almazán
- Katya RubinsteinKatya Rubinstein
- Asaf CaspiAsaf Caspi
Open Access
- 15 May 2025
- journal article
- research article
- Published by JMIR Publications Inc. in JMIR Human Factors
- Vol. 12 (1) , e67659
Abstract
Background: Treatment-resistant schizophrenia (TRS) is a severe form of schizophrenia associated with low adherence to treatment and poor outcomes. Mobile health (mHealth) interventions may be effective in preventing relapses, increasing treatment adherence, and managing some of the symptoms of schizophrenia. Mobile therapeutic attention for treatment-resistant schizophrenia (m-RESIST) is an innovative mHealth developed specifically for TRS. Objective: We aim to evaluate the effects of m-RESIST on the clinical and functional outcomes and on the perceived quality of life in people with TRS. Methods: A feasibility study without a control group was performed to test the m-RESIST solution on patients with TRS. Participants were recruited from Spain, Israel, and Hungary. This study’s population (N=31) followed 3 months of intervention. The m-RESIST was configured by an app, a wearable, and a web-based platform. The severity of symptoms was evaluated by using the Positive and Negative Syndrome Scale (PANSS) and the Clinical Global Impression-Schizophrenia (CGI-SCH) scale. Functionality was assessed by the Global Assessment of Functioning and perceived quality of life was evaluated by the EuroQol visual analogue scale (EQ-VAS). Results: Significant reductions were found in symptoms from pretrial to posttrial on the PANSS total (mean difference −7.2, 95% CI −11.1 to −3.4; P=.001), the PANSS positive (mean difference −1.36, 95% CI −2.6 to −0.1; P=.04), the PANSS negative (mean difference −2.1, 95% CI −3.1 to −1.1; P<.001), and the PANSS general symptoms (mean difference −3.8, 95% CI −6.8 to −0.8; P=.02). In almost one-fifth of the participants (6/31), the overall score for the PANSS decreased by more than 20%, which may be considered a clinically significant change. On the CGI-SCH scale, the sum of total severity of illness decreased significantly (P=.03). A decrease in the sum of positive and negative symptoms of the CGI-SCH score was also found (P=.04 and P=.03, respectively). The sum of depressive or cognitive symptoms did not change. The functionality of participants increased significantly on the Global Assessment of Functioning (P≤.001). The perceived quality of life on the EQ-VAS also improved (mean difference 6.7, 95% CI 0.5 to 12.9; P=.04). Conclusions: To our best knowledge, this was the first study to address the efficacy of the mHealth app m-RESIST on the symptoms and functional capacity and on the quality of life for people with TRS. Our preliminary findings showed that implementing the m-RESIST solution decreased the symptoms and severity of disease, and improved the functionality and perceived quality of life among those with TRS. The change of symptoms on the PANSS total may be clinically significant. Modern technologies such as mHealth interventions may be useful in treating symptoms and functionality even in TRS, which is a major clinical challenge, with usually poor outcomes. These results should be corroborated by performing a controlled trial.Keywords
This publication has 87 references indexed in Scilit:
- Developing the Workforce of the Digital Future: Leveraging Technology to Train Community-Based Mobile Mental Health SpecialistsJournal of Technology in Behavioral Science, 2022
- The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual realityWorld Psychiatry, 2021
- Effects of SlowMo, a Blended Digital Therapy Targeting Reasoning, on Paranoia Among People With PsychosisJAMA Psychiatry, 2021
- Development and Initial Testing of an mHealth Transitions of Care Intervention for Adults with Schizophrenia-Spectrum Disorders Immediately Following a Psychiatric HospitalizationPsychiatric Quarterly, 2021
- Client experiences of blending a coping-focused therapy for auditory verbal hallucinations with smartphone-based ecological momentary assessment and interventionInternet Interventions, 2020
- Use of Smartphones, Computers and Social Media Among People with SMI: Opportunity for InterventionCommunity Mental Health Journal, 2019
- A pilot digital intervention targeting loneliness in young people with psychosisSocial Psychiatry and Psychiatric Epidemiology, 2019
- Validity of the EQ-5D in assessing and valuing health status in patients with schizophrenic, schizotypal or delusional disordersEuropean Psychiatry, 2007
- EuroQol: the current state of playHealth Policy, 1996
- The Global Assessment ScaleArchives of General Psychiatry, 1976