Abstract

BackgroundPatients with bipolar disorder often show decreased adherence with mood stabilizers and frequently interventions on prodromal depressive and manic symptoms are delayed.Recently, the MONARCA I randomized controlled trial investigated the effect of electronic self-monitoring using smartphones on depressive and manic symptoms. The findings suggested that patients using the MONARCA system had more sustained depressive symptoms than patients using a smartphone for normal communicative purposes, but had fewer manic symptoms during the trial. It is likely that the ability of these self-monitored measures to detect prodromal symptoms of depression and mania may be insufficient compared to automatically generated objective data on measures of illness activity such as phone usage, social activity, physical activity, and mobility. The Monsenso system, for smartphones integrating subjective and objective measures of illness activity was developed and will be tested in the present trial.MethodsThe MONARCA II trial uses a randomized controlled single-blind parallel-group design. Patients with bipolar disorder according to ICD-10 who previously have been treated at the Copenhagen Clinic for Affective Disorder, Denmark are included and randomized to either daily use of the Monsenso system including an feedback loop between patients and clinicians (the intervention group) or to the use of a smartphone for normal communicative purposes (the control group) for a 9-month trial period. The trial was started in September 2014 and recruitment is ongoing. The outcomes are: differences in depressive and manic symptoms; rate of depressive and manic episodes (primary); automatically generated objective data on measures of illness activity; number of days hospitalized; psychosocial functioning (secondary); perceived stress; quality of life; self-rated depressive symptoms; self-rated manic symptoms; recovery; empowerment and adherence to medication (tertiary) between the intervention group and the control group during the trial. Ethical permission has been obtained. Positive, neutral and negative findings will be published.DiscussionIf the system is effective in reducing depressive and/or manic symptoms (and other symptoms of bipolar disorder) and the rate of episodes, there will be basis for extending the use to the treatment of bipolar disorder in general and in larger scale.Trial registrationClinicalTrials.gov NCT02221336. Registered 26th of September 2014.

Highlights

  • Patients with bipolar disorder often show decreased adherence with mood stabilizers and frequently interventions on prodromal depressive and manic symptoms are delayed

  • Electronic self-monitoring of depressive and manic symptoms using regular cell phones to prompt patients with bipolar disorder to respond to weekly text messages has been suggested as an easy and inexpensive way to continuously monitor and identify prodromal depressive and manic symptoms and in this way allowing for health care providers to intervene shortly after symptoms first appear [7]

  • Other articles reporting on electronic self-monitoring have used personal digital assistants (PDAs) [8,9], computers [10,11,12,13,14,15,16,17,18] and smartphones [19] as the electronic self-monitoring tools, but none of the studies have included data on objective measures of illness activity and the effect of electronic self-monitoring has only been investigated sparingly in randomized controlled trials (RCT) [20]

Read more

Summary

Introduction

Patients with bipolar disorder often show decreased adherence with mood stabilizers and frequently interventions on prodromal depressive and manic symptoms are delayed. It is likely that the ability of these self-monitored measures to detect prodromal symptoms of depression and mania may be insufficient compared to automatically generated objective data on measures of illness activity such as phone usage, social activity, physical activity, and mobility. It is likely that the ability of these electronically self-monitored subjective measures may not be sufficient to detect prodromal depressive and manic symptoms compared to automatically generated behavioural data on measures of illness activity (objective measures) such as phone usage, social activity, physical activity, and mobility. Social activity [21], i.e., engaging in relations to others, as well as physical activity [22,23,24] represent central and sensitive aspects of illness activity in bipolar disorder, but none of the articles used patients monitored during non-experimental daily life, in naturalistic settings and with collection of real-time data

Objectives
Methods
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call