University of Worcester Worcester Research and Publications

Large-scale Roll Out of Electronic Longitudinal Mood-Monitoring for Research in Affective Disorders: Report From the UK Bipolar Disorder Research Network

Gordon-Smith, Katherine ORCID:, Saunders, K., Geddes, J.R., Harrison, P.J., Hinds, C., Craddock, N., Jones, I. and Jones, Lisa ORCID: (2019) Large-scale Roll Out of Electronic Longitudinal Mood-Monitoring for Research in Affective Disorders: Report From the UK Bipolar Disorder Research Network. Journal of Affective Disorders, 246. 789 - 793. ISSN 0165-0327

Manuscript JAD_2018_2138 REVISED 21.11.18 (accepted) +CS.pdf - Accepted Version
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Background Electronic longitudinal mood monitoring has been shown to be acceptable to patients with affective disorders within clinical settings, but its use in large-scale research has not yet been established. Methods Using both postal and email invitations, we invited 4080 past research participants with affective disorders who were recruited into the Bipolar Disorder Research Network (BDRN) over a 10 year period to participate in online weekly mood monitoring. In addition, since January 2015 we have invited all newly recruited BDRN research participants to participate in mood monitoring at the point they were recruited into BDRN. Results Online mood monitoring uptake among past participants was 20, and among new participants to date was 46 with participants recruited over the last year most likely to register (61). More than 90 mood monitoring participants engaged for at least one month, with mean engagement period greater than one year (58 weeks) and maximum engagement for longer than three years (165 weeks). There were no significant differences in the proportion of past and new BDRN participants providing data for at least 4 weeks (91, 92 respectively), 3 months (78, 82), 6 months (65, 54) or one year (51, 44). Limitations Our experiences with recruiting participants for electronic prospective mood monitoring may not necessarily generalise fully to research situations that are very different from those we describe. Conclusions Large-scale electronic longitudinal mood monitoring in affective disorders for research purposes is feasible with uptake highest among newly recruited participants.

Item Type: Article
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Uncontrolled Discrete Keywords: affective disorder, longitudinal, mood monitoring, online data collection
Subjects: R Medicine > R Medicine (General)
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
R Medicine > RM Therapeutics. Pharmacology
Divisions: College of Health, Life and Environmental Sciences > School of Allied Health and Community
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Depositing User: Katherine Gordon-Smith
Date Deposited: 20 Jan 2019 08:36
Last Modified: 17 Jun 2020 17:26

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