A Method to Compare the Delivery of Psychiatric Care for People with Treatment-Resistant Schizophrenia

Esquizofrènia resistent al tractament; Tecnologies de la informació i la comunicació (TIC); Serveis de salut mentalEsquizofrenia resistente al tratamiento; Tecnologías de la información y la comunicación (TIC); Servicios de salud mentalTreatment-resistant schizophrenia; Information and communication technologies (ICT); Mental health servicesIntroduction: Community services are gaining ground when it comes to attention to patients with psychiatric diseases. Regarding patients with treatment-resistant schizophrenia (TRS), the use of information and communication technology (ICT) could help to shift the focus from hospital-centered attention to community services. This study compares the differences in mental health services provided for patients with TRS in Budapest (Hungary), Tel-Aviv (Israel) and Catalonia (Spain) by means of a method for the quick appraisal of gaps among the three places, for a potential implementation of the same ICT tool in these regions. Methods: An adapted version of the Description and Standardised Evaluation of Services and Directories in Europe for Long Term Care (DESDE-LTC) instrument was made by researchers in Semmelweis University (Budapest, Hungary), Gertner Institute (Tel-Aviv, Israel) and Hospital de la Santa Creu I Sant Pau and Parc Sanitari Sant Joan de Déu (Catalonia, Spain). Results: Two types of outpatient care services were available in the three regions. Only one type of day-care facility was common in the whole study area. Two residential care services, one for acute and the other for non-acute patients were available in every region. Finally, two self-care and volunteer-care facilities were available in the three places. Conclusion: Although the availability of services was different in each region, most of the services provided were sufficiently similar to allow the implementation of the same ICT solution in the three places.This work has been supported by the Horizon 2020 Framework Programme of the European Union (grant number 643552). This research was also funded by ONA CORPORATION

Mobile Phone and Wearable Sensor-Based mHealth Approach for Psychiatric Disorders and Symptoms : Systematic Review and Link to the m-RESIST Project

Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and validating an innovative therapeutic program for treatment-resistant schizophrenia. The program exploits information from mobile phones and wearable sensors for behavioral tracking to support intervention administration. Objective: To systematically review original studies on sensor-based mHealth apps aimed at uncovering associations between sensor data and symptoms of psychiatric disorders in order to support the m-RESIST approach to assess effectiveness of behavioral monitoring in therapy. Methods: A systematic review of the English-language literature, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was performed through Scopus, PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials databases. Studies published between September 1, 2009, and September 30, 2018, were selected. Boolean search operators with an iterative combination of search terms were applied. Results: Studies reporting quantitative information on data collected from mobile use and/or wearable sensors, and where that information was associated with clinical outcomes, were included. A total of 35 studies were identified; most of them investigated bipolar disorders, depression, depression symptoms, stress, and symptoms of stress, while only a few studies addressed persons with schizophrenia. The data from sensors were associated with symptoms of schizophrenia, bipolar disorders, and depression. Conclusions: Although the data from sensors demonstrated an association with the symptoms of schizophrenia, bipolar disorders, and depression, their usability in clinical settings to support therapeutic intervention is not yet fully assessed and needs to be scrutinized more thoroughly.Peer reviewe

Mobile Phone and Wearable Sensor-Based mHealth Approach for Psychiatric Disorders and Symptoms : Systematic Review and Link to the m-RESIST Project

Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and validating an innovative therapeutic program for treatment-resistant schizophrenia. The program exploits information from mobile phones and wearable sensors for behavioral tracking to support intervention administration. Objective: To systematically review original studies on sensor-based mHealth apps aimed at uncovering associations between sensor data and symptoms of psychiatric disorders in order to support the m-RESIST approach to assess effectiveness of behavioral monitoring in therapy. Methods: A systematic review of the English-language literature, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was performed through Scopus, PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials databases. Studies published between September 1, 2009, and September 30, 2018, were selected. Boolean search operators with an iterative combination of search terms were applied. Results: Studies reporting quantitative information on data collected from mobile use and/or wearable sensors, and where that information was associated with clinical outcomes, were included. A total of 35 studies were identified; most of them investigated bipolar disorders, depression, depression symptoms, stress, and symptoms of stress, while only a few studies addressed persons with schizophrenia. The data from sensors were associated with symptoms of schizophrenia, bipolar disorders, and depression. Conclusions: Although the data from sensors demonstrated an association with the symptoms of schizophrenia, bipolar disorders, and depression, their usability in clinical settings to support therapeutic intervention is not yet fully assessed and needs to be scrutinized more thoroughly.Peer reviewe

A Method to Compare the Delivery of Psychiatric Care for People with Treatment-Resistant Schizophrenia

Abstract Introduction: Community services are gaining ground when it comes to attention to patients with psychiatric diseases. Regarding patients with treatment-resistant schizophrenia (TRS), the use of information and communication technology (ICT) could help to shift the focus from hospital-centered attention to community services. This study compares the differences in mental health services provided for patients with TRS in Budapest (Hungary), Tel-Aviv (Israel) and Catalonia (Spain) by means of a method for the quick appraisal of gaps among the three places, for a potential implementation of the same ICT tool in these regions. Methods: An adapted version of the Description and Standardised Evaluation of Services and Directories in Europe for Long Term Care (DESDE-LTC) instrument was made by researchers in Semmelweis University (Budapest, Hungary), Gertner Institute (Tel-Aviv, Israel) and Hospital de la Santa Creu I Sant Pau and Parc Sanitari Sant Joan de Déu (Catalonia, Spain). Results: Two types of outpatient care services were available in the three regions. Only one type of day-care facility was common in the whole study area. Two residential care services, one for acute and the other for non-acute patients were available in every region. Finally, two self-care and volunteer-care facilities were available in the three places. Conclusion: Although the availability of services was different in each region, most of the services provided were sufficiently similar to allow the implementation of the same ICT solution in the three places.The m-RESIST Group is composed of: Francisco Alcalde Enrico d’Amico Caritat Almazán Anna Alonso-Solís Jesús Berdún István Bitter Walter Baccinelli Chiara Bonizzi María Bulgheroni Johanna Caro Mendivelso Asaf Caspi Tanguy Coenen Anat Cohen Xavier Constant Iluminada Corripio Marisol Escobar Kinga Farkas Kata Fazekas Yoram Feldman Emmanuel Gimenez Shenja van der Graaf Eva Grasa Levente Herman Margarita Hospedales Elena Huerta-Ramos Matti Isohanni Erika Jääskeläinen Charlotte Jewel Teija Juola Timo Jämsä Rachelle Kaye Panagiotis Kokkinakis Hannu J. Koponen Silvia Marcó Gregoris Mentzas Jouko Miettunen Jani Moilanen Susana Ochoa Ilias Papas Fotis Paraskevopoulos Elisabeth Reixach Alexandra Roldán Katya Rubinstein Elena Rubio-Abadal Garifalia Sebú Annika Seppälä Jussi Seppälä Valentina Simonetti Matthias Stevens Vittorio Tauro Anna Triantafillou Zsolt Szabolcs Unoka Judith Usall Vincenzo Vella David Vermeir Ilaria de Vit

Qualitative analysis of interviews of future non-affective psychotic disorder patients and non-psychiatric controls: preliminary results

Background: Previous research has shown that people with psychotic disorders have impaired functioning prior to the onset of the illness. The goal of this study is to obtain a detailed, in depth, analysis of the characteristics of premorbid impairment. Methods: In this study we examined summaries of interviews with 20 male adolescents who were later diagnosed with non-affective psychotic disorders and compared them to interviews conducted with 20 matched controls without psychiatric disorders. The current study applied a qualitative analysis, performed in the following stages: each interview was read thoroughly by two blinded raters with no a-priori hypothesis, and then key themes and statements were identified and organized into meaningful domains. Afterwards, the frequency of each item was calculated and comparisons between the groups were performed. Results: Future non-affective psychotic disorder patients were more likely to be described as strange or different, be involved in violent behavior, experience difficulties in educational functioning and peer integration, deal with problems in everyday functioning and have an avoidant interpersonal conflict resolution style in comparison with matched controls without psychiatric disorders. In addition, future patients experienced more stressful life events and dealt with these stressors more poorly in comparison with controls. Conclusions: The findings of this unique historical-prospective qualitative analysis of interviews performed before the onset of psychosis, confirmed previous findings of premorbid abnormality of future non-affective psychosis patients. Using qualitative analysis enabled obtaining a more in-depth understanding of the real-life experience of the premorbid period among patients with non-affective psychotic disorders

Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms : Systematic Review

Altres ajuts: This work was supported by the Horizon 2020 Framework Programme of the European Union (grant number 643552) and was partly funded by Fonds Européen de Développement Économique et Régional (FEDER) and Centres de Recerca de Catalunya (CERCA) Programme, Generalitat de Catalunya. We are grateful to all members of the m-RESIST project, who are also collaborative authors of this review under the name of m-RESIST Group.Mobile Therapeutic Attention for Patients with Treatment-Resistant Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and validating an innovative therapeutic program for treatment-resistant schizophrenia. The program exploits information from mobile phones and wearable sensors for behavioral tracking to support intervention administration. To systematically review original studies on sensor-based mHealth apps aimed at uncovering associations between sensor data and symptoms of psychiatric disorders in order to support the m-RESIST approach to assess effectiveness of behavioral monitoring in therapy. A systematic review of the English-language literature, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was performed through Scopus, PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials databases. Studies published between September 1, 2009, and September 30, 2018, were selected. Boolean search operators with an iterative combination of search terms were applied. Studies reporting quantitative information on data collected from mobile use and/or wearable sensors, and where that information was associated with clinical outcomes, were included. A total of 35 studies were identified; most of them investigated bipolar disorders, depression, depression symptoms, stress, and symptoms of stress, while only a few studies addressed persons with schizophrenia. The data from sensors were associated with symptoms of schizophrenia, bipolar disorders, and depression. Although the data from sensors demonstrated an association with the symptoms of schizophrenia, bipolar disorders, and depression, their usability in clinical settings to support therapeutic intervention is not yet fully assessed and needs to be scrutinized more thoroughly

Measuring Users’ Receptivity Toward an Integral Intervention Model Based on mHealth Solutions for Patients With Treatment-Resistant Schizophrenia (m-RESIST): A Qualitative Study

BACKGROUND: Despite the theoretical potential of mHealth solutions in the treatment of patients with schizophrenia, there remains a lack of technological tools in clinical practice. OBJECTIVE: The aim of this study was to measure the receptivity of patients, informal carers, and clinicians to a European integral intervention model focused on patients with persistent positive symptoms: Mobile Therapeutic Attention for Patients with Treatment-Resistant Schizophrenia (m-RESIST). METHODS: Before defining the system requirements, a qualitative study of the needs of outpatients with treatment-resistant schizophrenia was carried out in Spain, Israel, and Hungary. We analyzed the opinions of patients, informal carers, and clinicians concerning the services originally intended to be part of the solution. A total of 9 focus groups (72 people) and 35 individual interviews were carried out in the 3 countries, using discourse analysis as the framework. RESULTS: A webpage and an online forum were perceived as suitable to get both reliable information on the disease and support. Data transmission by a smart watch (monitoring), Web-based visits, and instant messages (clinical treatment) were valued as ways to improve contact with clinicians. Alerts were appreciated as reminders of daily tasks and appointments. Avoiding stressful situations for outpatients, promoting an active role in the management of the disease, and maintaining human contact with clinicians were the main suggestions provided for improving the effectiveness of the solution. CONCLUSIONS: Positive receptivity toward m-RESIST services is related to its usefulness in meeting user needs, its capacity to empower them, and the possibility of maintaining human contact

Mobile therapeutic attention for treatment-resistant schizophrenia (m-RESIST) : a prospective multicentre feasibility study protocol in patients and their caregivers

Treatment-resistant schizophrenia (TRS) is a severe form of schizophrenia. In the European Union, approximately 40% of people with schizophrenia have TRS. Factors such as the persistence of positive symptoms or higher risk of comorbidities leave clinicians with a complex scenario when treating these patients. Intervention strategies based on mHealth have demonstrated their ability to support and promote self-management-based strategies. Mobile therapeutic attention for treatment-resistant schizophrenia (m-RESIST), an innovative mHealth solution based on novel technology and offering high modular and flexible functioning, has been developed specifically for patients with TRS and their caregivers. As intervention in TRS is a challenge, it is necessary to perform a feasibility study before the cost-effectiveness testing stage. This manuscript describes the protocol for a prospective multicentre feasibility study in 45 patients with TRS and their caregivers who will be attended in the public health system of three localities: Hospital Santa Creu Sant Pau (Spain), Semmelweis University (Hungary) and Gertner Institute & Sheba Medical Center (Israel). The primary aim is to investigate the feasibility and acceptability of the m-RESIST solution, configured by three mHealth tools: an app, wearable and a web-based platform. The solution collects data about acceptability, usability and satisfaction, together with preliminary data on perceived quality of life, symptoms and economic variables. The secondary aim is to collect preliminary data on perceived quality of life, symptoms and economic variables. This study protocol, funded by the Horizon 2020 Programme of the European Union, has the approval of the ethics committees of the participating institutions. Participants will be fully informed of the purpose and procedures of the study, and signed inform consents will be obtained. The results will be published in peer-reviewed journals and presented in scientific conferences to ensure widespread dissemination. ; Pre-results