Measuring users' receptivity toward an integral intervention model based on mhealth solutions for patients with treatment-resistant schizophrenia (m-RESIST): A qualitative study

m-RESIST Group

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19 Scopus citations

Abstract

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.

Original languageEnglish
Article numbere112
JournalJMIR mHealth and uHealth
Volume4
Issue number3
DOIs
StatePublished - Sep 2016
Externally publishedYes

Funding

FundersFunder number
Horizon 2020 Framework Programme
European Commission
Horizon 2020643552

    Keywords

    • Intervention model
    • Needs assessment
    • Qualitative research
    • Treatment-resistant schizophrenia
    • mHealth solution

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