Please use this identifier to cite or link to this item: https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/411
Title: Online mood monitoring in treatment-resistant depression: qualitative study of patients' perspectives in the NHS
Authors: Geddes, John R
Keywords: Depressive Disorders
Mood Disorders
Issue Date: Jan-2020
Citation: Emma Incecik, Rachael W. Taylor,Beatrice Valentini,Stephani L. Hatch,John R. Geddes,Anthony J. Cleare,Lindsey Marwood. Online mood monitoring in treatment-resistant depression: qualitative study of patients' perspectives in the NHS. BJPsych Bulletin (2020)
Abstract: Aims and method True Colours is an automated symptom monitoring programme used by National Health Service psychiatric services. This study explored whether patients with unipolar treatment-resistant depression (TRD) found this a useful addition to their treatment regimes. Semi-structured qualitative interviews were conducted with 21 patients with TRD, who had engaged in True Colours monitoring as part of the Lithium versus Quetiapine in Depression study. A thematic analysis was used to assess participant experiences of the system. Results Six main themes emerged from the data, the most notable indicating that mood monitoring increased patients’ insight into their disorder, but that subsequent behaviour change was absent. Clinical implications Patients with TRD can benefit from mood monitoring via True Colours, making it a worthwhile addition to treatment. Further development of such systems and additional support may be required for patients with TRD to experience further benefits as reported by other patient groups.
Description: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in anymedium, provided the original work is properly cited
URI: https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/411
ISSN: 2053-4876
Appears in Collections:Digital Medicine

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