Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-235
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dc.contributor.authorJungmann, Stefanie-
dc.contributor.authorKlan, Timo-
dc.contributor.authorKuhn, Sebastian-
dc.contributor.authorJungmann, Florian-
dc.date.accessioned2019-11-27T08:13:39Z-
dc.date.available2019-11-27T09:13:39Z-
dc.date.issued2019-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/237-
dc.description.abstractBackground: Health apps for the screening and diagnosis of mental disorders have emerged in recent years on various levels (eg, patients, practitioners, and public health system). However, the diagnostic quality of these apps has not been (sufficiently) tested so far. Objective: The objective of this pilot study was to investigate the diagnostic quality of a health app for a broad spectrum of mental disorders and its dependency on expert knowledge. Methods: Two psychotherapists, two psychology students, and two laypersons each read 20 case vignettes with a broad spectrum of mental disorders. They used a health app (Ada—Your Health Guide) to get a diagnosis by entering the symptoms. Interrater reliabilities were computed between the diagnoses of the case vignettes and the results of the app for each user group. Results: Overall, there was a moderate diagnostic agreement (kappa=0.64) between the results of the app and the case vignettes for mental disorders in adulthood and a low diagnostic agreement (kappa=0.40) for mental disorders in childhood and adolescence. When psychotherapists applied the app, there was a good diagnostic agreement (kappa=0.78) regarding mental disorders in adulthood. The diagnostic agreement was moderate (kappa=0.55/0.60) for students and laypersons. For mental disorders in childhood and adolescence, a moderate diagnostic quality was found when psychotherapists (kappa=0.53) and students (kappa=0.41) used the app, whereas the quality was low for laypersons (kappa=0.29). On average, the app required 34 questions to be answered and 7 min to complete. Conclusions: The health app investigated here can represent an efficient diagnostic screening or help function for mental disorders in adulthood and has the potential to support especially diagnosticians in their work in various ways. The results of this pilot study provide a first indication that the diagnostic accuracy is user dependent and improvements in the app are needed especially for mental disorders in childhood and adolescence.en_GB
dc.description.sponsorshipDFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin-
dc.language.isoeng-
dc.rightsCC BYde_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc150 Psychologiede_DE
dc.subject.ddc150 Psychologyen_GB
dc.titleAccuracy of a chatbot (Ada) in the diagnosis of mental disorders : comparative case study with lay and expert usersen_GB
dc.typeZeitschriftenaufsatzde_DE
dc.identifier.urnurn:nbn:de:hebis:77-publ-594315-
dc.identifier.doihttp://doi.org/10.25358/openscience-235-
jgu.type.dinitypearticle-
jgu.type.versionPublished versionen_GB
jgu.type.resourceText-
jgu.organisation.departmentFB 02 Sozialwiss., Medien u. Sport-
jgu.organisation.departmentFB 04 Medizin-
jgu.organisation.number2700-
jgu.organisation.number7910-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleJMIR formative research-
jgu.journal.volume3-
jgu.journal.issue4-
jgu.pages.alternativee13863-
jgu.publisher.year2019-
jgu.publisher.nameJMIR Publications-
jgu.publisher.placeToronto-
jgu.publisher.urihttp://dx.doi.org/10.2196/13863-
jgu.publisher.issn2561-326X-
jgu.organisation.placeMainz-
jgu.subject.ddccode150-
opus.date.accessioned2019-11-27T08:13:39Z-
opus.date.modified2019-11-28T08:26:56Z-
opus.date.available2019-11-27T09:13:39-
opus.subject.dfgcode00-000-
opus.organisation.stringFB 02: Sozialwissenschaften, Medien und Sport: Psychologisches Institutde_DE
opus.organisation.stringFB 04: Medizin: Klinik und Poliklinik für Diagnostische und Interventionelle Radiologiede_DE
opus.organisation.stringFB 04: Medizin: Klinik und Poliklinik für Unfallchirurgiede_DE
opus.identifier.opusid59431-
opus.institute.number0204-
opus.institute.number0419-
opus.institute.number0439-
opus.metadataonlyfalse-
opus.type.contenttypeKeinede_DE
opus.type.contenttypeNoneen_GB
opus.affiliatedJungmann, Stefanie-
opus.affiliatedKlan, Timo-
opus.affiliatedKuhn, Sebastian-
opus.affiliatedJungmann, Florian-
jgu.publisher.doi10.2196/13863
jgu.organisation.rorhttps://ror.org/023b0x485
Appears in collections:JGU-Publikationen

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