{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ball H"],"funding":["National Institute for Health and Care Research","NIHR Manchester Biomedical Research Centre","Wellcome grant","NIHR Maudsley Biomedical Research Centre","Wellcome Trust"],"pagination":["sbaf043"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12809784"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["52(1)"],"pubmed_abstract":["<h4>Background and hypothesis</h4>Digital remote monitoring (DRM) captures service users' health-related data remotely using devices such as smartphones and wearables. Data can be analyzed using advanced statistical methods (eg, machine learning) and shared with clinicians to aid assessment of people with psychosis' mental health, enabling timely intervention. Such methods show promise in detecting early signs of psychosis relapse. However, little is known about clinicians' views on the use of DRM for psychosis. This study explores multi-disciplinary staff perspectives on using DRM in practice.<h4>Study design</h4>Fifty-nine mental health professionals were interviewed about their views on DRM in psychosis care. Interviews were analyzed using reflexive thematic analysis. Study Results: Fiv"],"journal":["Schizophrenia bulletin"],"pubmed_title":["Mental Health Professionals' Perspectives on Digital Remote Monitoring in Services for People with Psychosis."],"pmcid":["PMC12809784"],"funding_grant_id":["NIHR 300794","222875/Z/21/Z","NIHR203318","NIHR203308"],"pubmed_authors":["Wilson P","Wykes T","Bagg E","Drake RJ","Chalmers N","Bucci S","Gumley A","Sherborne J","Richardson C","Faulkner S","O'Hare K","Clifford S","Beattie L","Turner R","Lees J","Ainsworth J","Nicholas J","Punchihewa S","Vogel E","Haddock G","Lewis S","Richardson L","Eisner E","Kendall KM","Schwannauer M","Ball H","Kenny A","Zahid U","Cella M","Walters J","Zhang X","Maclean L","Oluwatayo A","Warner A","Greenwood K"],"additional_accession":[]},"is_claimable":false,"name":"Mental Health Professionals' Perspectives on Digital Remote Monitoring in Services for People with Psychosis.","description":"<h4>Background and hypothesis</h4>Digital remote monitoring (DRM) captures service users' health-related data remotely using devices such as smartphones and wearables. Data can be analyzed using advanced statistical methods (eg, machine learning) and shared with clinicians to aid assessment of people with psychosis' mental health, enabling timely intervention. Such methods show promise in detecting early signs of psychosis relapse. However, little is known about clinicians' views on the use of DRM for psychosis. This study explores multi-disciplinary staff perspectives on using DRM in practice.<h4>Study design</h4>Fifty-nine mental health professionals were interviewed about their views on DRM in psychosis care. Interviews were analyzed using reflexive thematic analysis. Study Results: Fiv","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-06-02T03:16:24.747Z","creation":"2026-06-02T03:09:44.391Z"},"accession":"S-EPMC12809784","cross_references":{"pubmed":["40329411"],"doi":["10.1093/schbul/sbaf043"]}}