000301909 001__ 301909
000301909 005__ 20250615021043.0
000301909 0247_ $$2doi$$a10.1186/s40359-025-02954-z
000301909 0247_ $$2pmid$$apmid:40481588
000301909 0247_ $$2pmc$$apmc:PMC12143098
000301909 0247_ $$2altmetric$$aaltmetric:177848567
000301909 037__ $$aDKFZ-2025-01179
000301909 041__ $$aEnglish
000301909 082__ $$a150
000301909 1001_ $$aFritz, Birthe$$b0
000301909 245__ $$aHow mental health status and attitudes toward mental health shape AI Acceptance in psychosocial care: a cross-sectional analysis.
000301909 260__ $$aLondon$$bBioMed Central$$c2025
000301909 3367_ $$2DRIVER$$aarticle
000301909 3367_ $$2DataCite$$aOutput Types/Journal article
000301909 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1749541992_29235
000301909 3367_ $$2BibTeX$$aARTICLE
000301909 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000301909 3367_ $$00$$2EndNote$$aJournal Article
000301909 500__ $$a#LA:C160#
000301909 520__ $$aArtificial Intelligence (AI) has become part of our everyday lives and is also increasingly applied in psychosocial healthcare as it can enhance it, make it more accessible, and reduce barriers for help seeking. User behaviour and readiness for AI can be predicted by various factors, such as perceived usefulness (PU) of AI, personality traits and mental health-related variables. Investigating these factors is essential for understanding user acceptance and the future use of AI tools in mental health. This study examines the individual factors that influence the PU of AI in mental health care. In addition, it examines how PU of AI affects the use of mental health apps. For ethical and practical reasons, these apps were considered independently of their AI integration, aiming to support the development of AI-driven mental health applications.In a German-speaking convenience sample N = 302 participants socio-demographic information, personality factors, mental health status, mental health literacy, and various aspects concerning the integration of AI into psychosocial care (PU, AI awareness, digital skills, app use in general) were assessed. Two linear, stepwise regression analyses were conducted, with PU of AI and the participants' use of mental health apps in general as dependent variables, respectively, and the above-mentioned variables as predictors. Profession, gender, own experience with mental impairments, AI awareness and digital skills were included as covariates. Finally, we performed two moderation analyses to investigate mental health problems and psychological distress as moderators for the relationship between PU and frequency of mental health-related app use-irrespective of AI integration-with working field and digital capabilities as covariates.Higher openness, pessimism and conscientiousness predicted lower PU, whereas higher agreeableness, lower levels of stigma and social distance predicted higher PU. The covariates psychological/ pedagogical training, digital capabilities and experience had a significant influence on PU. Higher frequency of app use in general was predicted by better digital capabilities, higher psychological distress, and more help seeking behaviour. The relationship between PU and the overall use of mental health apps was moderated by psychological distress but not by mental health problems.Our study identified individual factors influencing PU for integrating AI into psychosocial care and the frequency of using mental health apps-irrespective of AI integration-and thereby underlines the necessity to tailor AI interventions in psychosocial care to individual needs, personality, and abilities of users to enhance their acceptance and effectiveness.
000301909 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000301909 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000301909 650_7 $$2Other$$aArtificial intelligence
000301909 650_7 $$2Other$$aHealth literacy
000301909 650_7 $$2Other$$aMental health
000301909 650_7 $$2Other$$aMobile applications
000301909 650_7 $$2Other$$aPersonality
000301909 650_7 $$2Other$$aPsychological distress
000301909 650_2 $$2MeSH$$aHumans
000301909 650_2 $$2MeSH$$aFemale
000301909 650_2 $$2MeSH$$aMale
000301909 650_2 $$2MeSH$$aCross-Sectional Studies
000301909 650_2 $$2MeSH$$aAdult
000301909 650_2 $$2MeSH$$aArtificial Intelligence
000301909 650_2 $$2MeSH$$aMiddle Aged
000301909 650_2 $$2MeSH$$aPatient Acceptance of Health Care: psychology
000301909 650_2 $$2MeSH$$aMental Health
000301909 650_2 $$2MeSH$$aYoung Adult
000301909 650_2 $$2MeSH$$aMental Disorders: therapy
000301909 650_2 $$2MeSH$$aMental Disorders: psychology
000301909 650_2 $$2MeSH$$aAged
000301909 650_2 $$2MeSH$$aMobile Applications
000301909 650_2 $$2MeSH$$aPersonality
000301909 650_2 $$2MeSH$$aGermany
000301909 7001_ $$aEppelmann, Lena$$b1
000301909 7001_ $$aEdelmann, Annika$$b2
000301909 7001_ $$aRohrmann, Sonja$$b3
000301909 7001_ $$0P:(DE-He78)e98ebd9b4c081ef9489c21b48dea9a5b$$aWessa, Michèle$$b4$$eLast author$$udkfz
000301909 773__ $$0PERI:(DE-600)2705921-2$$a10.1186/s40359-025-02954-z$$gVol. 13, no. 1, p. 617$$n1$$p617$$tBMC Psychology$$v13$$x2050-7283$$y2025
000301909 909CO $$ooai:inrepo02.dkfz.de:301909$$pVDB
000301909 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)e98ebd9b4c081ef9489c21b48dea9a5b$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000301909 9131_ $$0G:(DE-HGF)POF4-313$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vKrebsrisikofaktoren und Prävention$$x0
000301909 9141_ $$y2025
000301909 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bBMC PSYCHOL : 2022$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-04-10T15:34:53Z
000301909 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-04-10T15:34:53Z
000301909 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Open peer review$$d2024-04-10T15:34:53Z
000301909 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)1180$$2StatID$$aDBCoverage$$bCurrent Contents - Social and Behavioral Sciences$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)0130$$2StatID$$aDBCoverage$$bSocial Sciences Citation Index$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2024-12-18
000301909 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2024-12-18
000301909 9202_ $$0I:(DE-He78)C160-20160331$$kC160$$lCancer Survivorship und Psychologische Resilienz$$x0
000301909 9201_ $$0I:(DE-He78)C160-20160331$$kC160$$lCancer Survivorship und Psychologische Resilienz$$x0
000301909 980__ $$ajournal
000301909 980__ $$aVDB
000301909 980__ $$aI:(DE-He78)C160-20160331
000301909 980__ $$aUNRESTRICTED