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mHealth for schizophrenia spectrum disorders management: A systematic review

Author

Listed:
  • Olga Chivilgina
  • Tenzin Wangmo
  • Bernice Simone Elger
  • Thomas Heinrich
  • Fabrice Jotterand

Abstract

Background: Various types of computational technologies can be used to access, store and wirelessly share private and sensitive user-related information. The ‘big data’ provided by these technologies may enable researchers and clinicians to better identify behavioral patterns and to provide a more personalized approach to care. The information collected, however, can be misused or potentially abused, and therefore could be detrimental to the very people who provided their medical data with the hope of improving care. This article focuses on the use of emerging mobile technologies that allow the collection of data about patients experiencing schizophrenia spectrum and related disorders. Schizophrenia has been recognized by the Sustainable Development Goals of the United Nations for its burden on our health care system and society [1]. Our analysis provides an overview of the range of available mobile technologies for people with schizophrenia and related conditions along with the technology’s reported capabilities and limitations, and efficacy of mHealth interventions based on the data from articles. Thus, the focus of this review is first and foremost to update the scope of existing technologies as previous systematic reviews such as the ones by Alvarez-Jimenez et al. and by Firth and Torous are outdated [2, 3]. Although we also examine the ethical issues arising from the use of these technologies, for an in-depth analysis of the ethical implications of mobile Health technologies (mHealth), we refer the readers to our follow-up article. In terms of the ubiquitous availability of technology on the internet, our article summarizes significant information for mental health specialists and apprises the reader about the existence of these technologies. Objectives: In terms of the ubiquitous availability of technology on the internet, our article summarizes significant information for mental health specialists and apprises the reader about the existence of these technologies.

Suggested Citation

  • Olga Chivilgina & Tenzin Wangmo & Bernice Simone Elger & Thomas Heinrich & Fabrice Jotterand, 2020. "mHealth for schizophrenia spectrum disorders management: A systematic review," International Journal of Social Psychiatry, , vol. 66(7), pages 642-665, November.
    • Handle: RePEc:sae:socpsy:v:66:y:2020:i:7:p:642-665
    DOI: 10.1177/0020764020933287
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    References listed on IDEAS

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    1. Mark Pennington & Paul McCrone, 2017. "The Cost of Relapse in Schizophrenia," PharmacoEconomics, Springer, vol. 35(9), pages 921-936, September.
    2. T. Vaessen & H. Steinhart & T. Batink & A. Klippel & M. Van Nierop & U. Reininghaus & I. Myin-Germeys, 2019. "ACT in daily life in early psychosis: an ecological momentary intervention approach," Psychosis, Taylor & Francis Journals, vol. 11(2), pages 93-104, April.
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    Cited by:

    1. Sonja Kuipers & Stynke Castelein & Linda Kronenberg & Job van ’t Veer & Nynke Boonstra, 2023. "A Human-Centered Design Approach to Develop Oral Health Nursing Interventions in Patients with a Psychotic Disorder," IJERPH, MDPI, vol. 20(4), pages 1-27, February.
    2. Mona Ehsani & Masoomeh Maarefvand & Samaneh Hosseinzadeh & Maryam Zabihi Poursaadati, 2024. "Effectiveness of information technology assisted relapse prevention program on relapse among people who live with severe mental disorders," International Journal of Social Psychiatry, , vol. 70(3), pages 531-541, May.
    3. Rose Calixte & Argelis Rivera & Olutobi Oridota & William Beauchamp & Marlene Camacho-Rivera, 2020. "Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey," IJERPH, MDPI, vol. 17(18), pages 1-16, September.

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    More about this item

    Keywords

    Schizophrenia; mHealth; ethics;
    All these keywords.

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