Longitudinal mood monitoring in bipolar disorder: Course of illness as revealed through a short messaging service

JOURNAL OF AFFECTIVE DISORDERS

卷:223

Article

McKnight, Rebecca F.¹  Bilderbeck, Amy C.¹  Miklowitz, David J.^1,2,3  Hinds, Christopher¹  Goodwin, Guy M.¹  Geddes, John R.¹ 

[1] Univ Oxford, Warneford Hosp, Dept Psychiat, Oxford OX3 7JX, England

[2] UCLA, Div Child & Adolescent Psychiat, Semel Inst Neurosci & Human Behav, Los Angeles, CA USA

[3] UCLA, David Geffen Sch Med, Los Angeles, CA 90095 USA

关键词: Remote monitoring;    Patient reported outcomes;    Digital health technologies;    Mood instability;    Mania;    Depression;   

DOI  :  10.1016/j.jad.2017.07.029

来源: Elsevier

【 摘 要 】

Background: Online self-monitoring of mood can be used to investigate differences in course patterns across patient groups. This study explored the feasibility of remote symptom capture with True Colours, a self-rated online mood monitoring tool completed on a weekly basis. Methods: Participants with bipolar disorder (N = 297) completed weekly depression and mania questionnaires over an average of 27.5 months (range 1 81 months). Subgroups defined by sex, age, and bipolar I vs. II status were compared on time in various mood states, number of episodes, and week-to-week mood variability. Results: Compliance with weekly questionnaires was generally high (median, 92% of weeks). Mood symptoms occurred for an average of 55.4% of weeks across the follow-up period. Females spent more time with hypomanic/manic and depressive symptoms and had more depressive episodes compared to males. Younger participants were found to experience more hypomanic/manic episodes and showed greater variability in mood symptoms than older participants. No significant differences in mood symptoms or variability were observed between bipolar I and II patients. Limitations: This was a naturalistic study with a heterogeneous cohort, and did not include a control group. True Colours does not identify mood fluctuations that may occur in the days between weekly assessments. Conclusions: Monitoring moods through an online tool is both feasible and informative regarding course of illness in patients with bipolar disorder. Interventions aiming to reduce mood variability and manic/hypomanic episodes in the early phases of bipolar disorder may enhance the long-term symptomatic course of the illness.

【 授权许可】

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