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dc.contributor.authorBlease, C
dc.contributor.authorKharko, Anna
dc.contributor.authorAnnoni, M
dc.contributor.authorGaab, J
dc.contributor.authorLocher, C
dc.date.accessioned2021-04-11T11:41:09Z
dc.date.available2021-04-11T11:41:09Z
dc.date.issued2021-04-09
dc.identifier.issn2296-2565
dc.identifier.issn2296-2565
dc.identifier.otherARTN 623088
dc.identifier.urihttp://hdl.handle.net/10026.1/17032
dc.description.abstract

<jats:p><jats:bold>Background:</jats:bold> There is increasing use of psychotherapy apps in mental health care.</jats:p><jats:p><jats:bold>Objective:</jats:bold> This mixed methods pilot study aimed to explore postgraduate clinical psychology students' familiarity and formal exposure to topics related to artificial intelligence and machine learning (AI/ML) during their studies.</jats:p><jats:p><jats:bold>Methods:</jats:bold> In April-June 2020, we conducted a mixed-methods online survey using a convenience sample of 120 clinical psychology students enrolled in a two-year Masters' program at a Swiss University.</jats:p><jats:p><jats:bold>Results:</jats:bold> In total 37 students responded (response rate: 37/120, 31%). Among respondents, 73% (<jats:italic>n</jats:italic> = 27) intended to enter a mental health profession, and 97% reported that they had heard of the term “machine learning.” Students estimated 0.52% of their program would be spent on AI/ML education. Around half (46%) reported that they intended to learn about AI/ML as it pertained to mental health care. On 5-point Likert scale, students “moderately agreed” (median = 4) that AI/M should be part of clinical psychology/psychotherapy education. Qualitative analysis of students' comments resulted in four major themes on the impact of AI/ML on mental healthcare: (1) Changes in the quality and understanding of psychotherapy care; (2) Impact on patient-therapist interactions; (3) Impact on the psychotherapy profession; (4) Data management and ethical issues.</jats:p><jats:p><jats:bold>Conclusions:</jats:bold> This pilot study found that postgraduate clinical psychology students held a wide range of opinions but had limited formal education on how AI/ML-enabled tools might impact psychotherapy. The survey raises questions about how curricula could be enhanced to educate clinical psychology/psychotherapy trainees about the scope of AI/ML in mental healthcare.</jats:p>

dc.format.extent623088-
dc.format.mediumElectronic-eCollection
dc.languageeng
dc.language.isoen
dc.publisherFrontiers Media SA
dc.subjectartificial intelligence
dc.subjectmachine learning
dc.subjectpsychology students
dc.subjectattitudes
dc.subjectopinions
dc.subjectsurvey
dc.subjectethics
dc.subjectmedical education psychotherapy education
dc.titleMachine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000642299900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume9
plymouth.publication-statusPublished online
plymouth.journalFrontiers in Public Health
dc.identifier.doi10.3389/fpubh.2021.623088
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Users by role
dc.publisher.placeSwitzerland
dcterms.dateAccepted2021-03-05
dc.rights.embargodate2021-4-20
dc.identifier.eissn2296-2565
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.3389/fpubh.2021.623088
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-04-09
rioxxterms.typeJournal Article/Review


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