Literature DB >> 14677086

The electronic assessment of the longitudinal course of bipolar disorder: the ChronoRecord software.

P C Whybrow1, P Grof, L Gyulai, N Rasgon, T Glenn, M Bauer.   

Abstract

Longitudinal studies are the optimal approach when investigating the highly variable course of bipolar disorder, but such studies are expensive, prone to reporting errors and to missing data. Automation of data collection may reduce such errors and improve data quality. The ChronoRecord, validated software that patients can install on a home computer to report mood, medications, sleep, life events, weight and menstrual data, has been designed to achieve such automation. In the trial of the ChronoRecord reported here, 80 of 96 (83 %) patients with bipolar disorder showed high acceptance of this computer-based system for self-report, entering daily recordings for a period of 3-months. This new technology, in addition to providing an accurate longitudinal record for research purposes, also facilitates on-going patient feedback and accurate study monitoring.

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Year:  2003        PMID: 14677086     DOI: 10.1055/s-2003-45137

Source DB:  PubMed          Journal:  Pharmacopsychiatry        ISSN: 0176-3679            Impact factor:   5.788


  11 in total

1.  Does the use of an automated tool for self-reporting mood by patients with bipolar disorder bias the collected data?

Authors:  Michael Bauer; Natalie Rasgon; Paul Grof; Laszlo Gyulai; Tasha Glenn; Peter C Whybrow
Journal:  MedGenMed       Date:  2005-08-25

Review 2.  Impact of menstrual cycle events on bipolar disorder course: a narrative review of current evidence.

Authors:  Elena Aragno; Andrea Fagiolini; Alessandro Cuomo; Elena Paschetta; Giuseppe Maina; Gianluca Rosso
Journal:  Arch Womens Ment Health       Date:  2022-03-02       Impact factor: 3.633

3.  Daily electronic monitoring of subjective and objective measures of illness activity in bipolar disorder using smartphones--the MONARCA II trial protocol: a randomized controlled single-blind parallel-group trial.

Authors:  Maria Faurholt-Jepsen; Maj Vinberg; Mads Frost; Ellen Margrethe Christensen; Jakob Bardram; Lars Vedel Kessing
Journal:  BMC Psychiatry       Date:  2014-11-25       Impact factor: 3.630

4.  Validation of life-charts documented with the personal life-chart app - a self-monitoring tool for bipolar disorder.

Authors:  Lars O Schärer; Ute J Krienke; Sandra-Mareike Graf; Katharina Meltzer; Jens M Langosch
Journal:  BMC Psychiatry       Date:  2015-03-14       Impact factor: 3.630

Review 5.  Electronic monitoring of self-reported mood: the return of the subjective?

Authors:  Abigail Ortiz; Paul Grof
Journal:  Int J Bipolar Disord       Date:  2016-11-29

6.  Prospective interepisodal mood monitoring in patients with affective disorders: a feasibility study.

Authors:  Alberta Sj Van der Watt; Alexandra Psp Suryapranata; Soraya Seedat
Journal:  Neuropsychiatr Dis Treat       Date:  2018-02-14       Impact factor: 2.570

7.  Saving time and money: a validation of the self ratings on the prospective NIMH Life-Chart Method (NIMH-LCM).

Authors:  Christoph Born; Benedikt L Amann; Heinz Grunze; Robert M Post; Lars Schärer
Journal:  BMC Psychiatry       Date:  2014-05-07       Impact factor: 3.630

Review 8.  Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidence.

Authors:  Maria Faurholt-Jepsen; Klaus Munkholm; Mads Frost; Jakob E Bardram; Lars Vedel Kessing
Journal:  BMC Psychiatry       Date:  2016-01-15       Impact factor: 3.630

9.  Tablet-based support for older adults with severe mood disorders treated in an ambulatory geriatric psychiatry setting: Protocol of a feasibility study of the eCare@Home platform.

Authors:  Josien Schuurmans; Juliette L van der Linden; Wouter van Ballegooijen; Jeroen Ruwaard; Max L Stek; Jan H Smit; Heleen Riper
Journal:  Internet Interv       Date:  2016-09-05

10.  Distant mood monitoring for depressive and bipolar disorders: a systematic review.

Authors:  A S J van der Watt; W Odendaal; K Louw; S Seedat
Journal:  BMC Psychiatry       Date:  2020-07-22       Impact factor: 3.630

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