14
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      To submit your manuscript to JMIR, please click here

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Recent discoveries in the fields of machine learning (ML), Ecological Momentary Assessment (EMA), computerized adaptive testing (CAT), digital phenotype, imaging, and biomarkers have brought about a new paradigm shift in medicine.

          Objective

          The aim of this study was to explore psychiatrists’ perspectives on this paradigm through the prism of new clinical decision support systems (CDSSs). Our primary objective was to assess the acceptability of these new technologies. Our secondary objective was to characterize the factors affecting their acceptability.

          Methods

          A sample of psychiatrists was recruited through a mailing list. Respondents completed a Web-based survey. A quantitative study with an original form of assessment involving the screenplay method was implemented involving 3 scenarios, each featuring 1 of the 3 support systems, namely, EMA and CAT, biosensors comprising a connected wristband-based digital phenotype, and an ML-based blood test or magnetic resonance imaging (MRI). We investigated 4 acceptability domains based on International Organization for Standardization and Nielsen models (usefulness, usability, reliability, and risk).

          Results

          We recorded 515 observations. Regarding our primary objective, overall acceptability was moderate. MRI coupled with ML was considered to be the most useful system, and the connected wristband was considered the least. All the systems were described as risky (410/515, 79.6%). Regarding our secondary objective, acceptability was strongly influenced by socioepidemiological variables (professional culture), such as gender, age, and theoretical approach.

          Conclusions

          This is the first study to assess psychiatrists’ views on new CDSSs. Data revealed moderate acceptability, but our analysis shows that this is more the result of the lack of knowledge about these new technologies rather than a strong rejection. Furthermore, we found strong correspondences between acceptability profiles and professional culture profiles. Many medical, forensics, and ethical issues were raised, including therapeutic relationship, data security, data storage, and privacy risk. It is essential for psychiatrists to receive training and become involved in the development of new technologies.

          Related collections

          Most cited references28

          • Record: found
          • Abstract: not found
          • Article: not found

          The Self-Fulfilling Prophecy

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Altering the course of schizophrenia: progress and perspectives

              Despite a lack of recent progress in the treatment of schizophrenia, our understanding of its genetic and environmental causes has considerably improved, and their relationship to aberrant patterns of neurodevelopment has become clearer. This raises the possibility that 'disease-modifying' strategies could alter the course to - and of - this debilitating disorder, rather than simply alleviating symptoms. A promising window for course-altering intervention is around the time of the first episode of psychosis, especially in young people at risk of transition to schizophrenia. Indeed, studies performed in both individuals at risk of developing schizophrenia and rodent models for schizophrenia suggest that pre-diagnostic pharmacotherapy and psychosocial or cognitive-behavioural interventions can delay or moderate the emergence of psychosis. Of particular interest are 'hybrid' strategies that both relieve presenting symptoms and reduce the risk of transition to schizophrenia or another psychiatric disorder. This Review aims to provide a broad-based consideration of the challenges and opportunities inherent in efforts to alter the course of schizophrenia.
                Bookmark

                Author and article information

                Contributors
                Journal
                JMIR Ment Health
                JMIR Ment Health
                JMH
                JMIR Mental Health
                JMIR Publications (Toronto, Canada )
                2368-7959
                Oct-Dec 2018
                14 December 2018
                : 5
                : 4
                : e10240
                Affiliations
                [1 ] Department of Adult Psychiatry and Medical Psychology Sorbonne Université Saint-Antoine Hospital, Assistance Publique Hôpitaux de Paris Paris France
                [2 ] Sociology and Anthropology Laboratory University of Burgundy Franche-Comté Besançon France
                Author notes
                Corresponding Author: Alexis Bourla alexis.bourla@ 123456aphp.fr
                Author information
                http://orcid.org/0000-0003-1438-5733
                http://orcid.org/0000-0003-3950-0275
                http://orcid.org/0000-0003-1389-718X
                http://orcid.org/0000-0002-1604-0213
                http://orcid.org/0000-0001-8377-5650
                http://orcid.org/0000-0002-4226-7956
                Article
                v5i4e10240
                10.2196/10240
                6315247
                30552086
                5c252ff1-66b1-4442-9bd0-2d54165d8e59
                ©Alexis Bourla, Florian Ferreri, Laetitia Ogorzelec, Charles-Siegfried Peretti, Christian Guinchard, Stephane Mouchabac. Originally published in JMIR Mental Health (http://mental.jmir.org), 14.12.2018.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on http://mental.jmir.org/.as well as this copyright and license information must be included.

                History
                : 28 February 2018
                : 2 August 2018
                : 10 September 2018
                : 14 September 2018
                Categories
                Original Paper
                Original Paper

                acceptability,clinical decision support systems,computerized adaptive testing,digital phenotype,ecological momentary assessment,machine learning,mobile phone,professional culture

                Comments

                Comment on this article