Show simple item record

dc.contributor.authorBlease, Cen
dc.contributor.authorKharko, Aen
dc.contributor.authorAnnoni, Men
dc.contributor.authorGaab, Jen
dc.contributor.authorLocher, Cen
dc.date.accessioned2021-04-11T11:41:09Z
dc.date.available2021-04-11T11:41:09Z
dc.date.issued2021-04-09en
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>

en
dc.language.isoenen
dc.publisherFrontiers Media SAen
dc.titleMachine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss Universityen
dc.typeJournal Article
plymouth.volume9en
plymouth.journalFrontiers in Public Healthen
dc.identifier.doi10.3389/fpubh.2021.623088en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Faculty of Health/School of Nursing and Midwifery
dcterms.dateAccepted2021-03-05en
dc.rights.embargodate2021-04-20en
dc.identifier.eissn2296-2565en
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.3389/fpubh.2021.623088en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2021-04-09en
rioxxterms.typeJournal Article/Reviewen


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
@mire NV