Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University
dc.contributor.author | Blease, C | |
dc.contributor.author | Kharko, Anna | |
dc.contributor.author | Annoni, M | |
dc.contributor.author | Gaab, J | |
dc.contributor.author | Locher, C | |
dc.date.accessioned | 2021-04-11T11:41:09Z | |
dc.date.available | 2021-04-11T11:41:09Z | |
dc.date.issued | 2021-04-09 | |
dc.identifier.issn | 2296-2565 | |
dc.identifier.issn | 2296-2565 | |
dc.identifier.other | ARTN 623088 | |
dc.identifier.uri | http://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.extent | 623088- | |
dc.format.medium | Electronic-eCollection | |
dc.language | eng | |
dc.language.iso | en | |
dc.publisher | Frontiers Media SA | |
dc.subject | artificial intelligence | |
dc.subject | machine learning | |
dc.subject | psychology students | |
dc.subject | attitudes | |
dc.subject | opinions | |
dc.subject | survey | |
dc.subject | ethics | |
dc.subject | medical education psychotherapy education | |
dc.title | Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University | |
dc.type | journal-article | |
dc.type | Journal Article | |
dc.type | Research Support, Non-U.S. Gov't | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000642299900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.volume | 9 | |
plymouth.publication-status | Published online | |
plymouth.journal | Frontiers in Public Health | |
dc.identifier.doi | 10.3389/fpubh.2021.623088 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Health | |
plymouth.organisational-group | /Plymouth/Users by role | |
dc.publisher.place | Switzerland | |
dcterms.dateAccepted | 2021-03-05 | |
dc.rights.embargodate | 2021-4-20 | |
dc.identifier.eissn | 2296-2565 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.3389/fpubh.2021.623088 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2021-04-09 | |
rioxxterms.type | Journal Article/Review |