Self-reporting software for bipolar disorder: Validation of ChronoRecord by patients with mania

Bauer, Michael; Wilson, T.; Neuhaus, Kathrin; Sasse, Johanna; Pfennig, Andrea; Lewitzka, Ute; Grof, Paul; Glenn, Tasha; Rasgon, Natalie; Bschor, Tom; Whybrow, Peter C.

doi:10.1016/j.psychres.2007.04.013

Cited by 64 publications

(69 citation statements)

References 24 publications

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“…All data were collected using the previously validated ChronoRecord software in the patient's native language (Bauer et al 2004; Bauer et al 2008). The participants entered a daily mood rating using a 100-unit visual analog scale that was calibrated to the extremes of mania and depression that the patient ever experienced.…”

Section: Methodsmentioning

confidence: 99%

Antidepressant dosage taken by patients with bipolar disorder: factors associated with irregularity

Bauer

Glenn²,

Alda

et al. 2013

Int J Bipolar Disord

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BackgroundThis study analyzed regularity in the daily dosage of antidepressants taken by patients with bipolar disorder and identified the factors associated with irregularity.MethodsDaily self-reported medication dosage taken and mood ratings were available from 144 patients who received treatment as usual. All 144 patients took the same antidepressant for at least 100 days. One hundred eleven of these patients were also taking a mood stabilizer. Approximate entropy (ApEn) was used to measure serial regularity in daily dosage. Regularity is the tendency that values within a time series remain the same on incremental comparisons. Drug holidays (missing three or more consecutive days) were also determined. Generalized estimating equations (GEE) were used to estimate if any demographic or clinical variables were associated with regularity.ResultsAlthough the mean percent of days missing doses was only 18.6%, there was a wide range of regularity in the daily antidepressant dosage. Drug holidays were common, occurring in 41% of the analyses. Factors significantly associated with irregularity were as follows: total number of psychotropic medications (p = 0.005), pill burden (p = 0.005), and depression (p = 0.015). Neither the percent of days missing doses nor the drug holidays were associated with any demographic or clinical factors. For patients taking both antidepressants and mood stabilizers, there was no significant difference in regularity in daily dosage between these drugs.DiscussionThere can be considerable irregularity in daily dosage despite a low percent of days missing doses. Medication regimen complexity and depressed mood are associated with increased irregularity. Daily regularity in drug dosage may be more dependent on the individual than on the specific drug. Research on the clinical impact of irregularity in daily dosage of antidepressants is needed.

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Section: Methodsmentioning

confidence: 99%

Antidepressant dosage taken by patients with bipolar disorder: factors associated with irregularity

Bauer

Glenn²,

Alda

et al. 2013

Int J Bipolar Disord

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“…Several validated tools are available to measure daily mood symptom load in bipolar disorder, including the National Institute of Mental Health Life Chart using paper [10] or a palmtop computer [73] , the ChronoSheet using paper [74] or the ChronoRecord software for a personal computer [75,76] . There are also several instruments to measure quality of life in patients with bipolar disorder, as reviewed elsewhere [77] .…”

Section: Measuring Patient Perception Of Diseasementioning

confidence: 99%

Subsyndromal Mood Symptoms: A Useful Concept for Maintenance Studies of Bipolar Disorder?

Bauer

Glenn²,

Grof³

et al. 2009

Psychopathology

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Objective: To explore the measurement of subsyndromal mood symptoms in relation to studies of maintenance therapy for bipolar disorder. Methods: Literature review of the Medline database using the following selection criteria: (1) ‘bipolar disorder’ plus ‘inter-episode or interepisode or subsyndromal or subclinical or residual or subthreshold’ and (2) ‘bipolar disorder’ plus ‘maintenance or prophylaxis or longitudinal’. Studies of children or adolescents and non-English-language reports were excluded. Results: Of the studies published between 1987 and October 2007, 77 articles about subsyndromal mood symptoms and 257 studies of maintenance therapy agents were found. Only 11 of the 257 studies of maintenance therapy agents discussed subsyndromal mood symptoms. Of the 77 articles, two thirds were published after 2000. Inconsistent definitions of subsyndromal mood symptoms and different evaluation tools and methodologies were used in the studies. Conclusions: There is a need to standardize definitions and validate measuring approaches for subsyndromal mood symptoms. However, when measured in both naturalistic studies and clinical trials, subsyndromal mood symptoms were frequently reported by patients receiving maintenance therapy and were associated with poor functioning. As with other chronic illnesses, knowledge of the patient’s perspective of daily morbidity is important for improving the clinical outcome. Studies of maintenance therapy for bipolar disorder, regardless of the approach, should measure subsyndromal mood symptoms as an additional outcome.

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“…ChronoRecord is one such program that has been widely used in research for the assessment of mania and bipolar depression 14. It involves daily self-rating by patients, and rather than completing a questionnaire on symptoms, ChronoRecord requires patients to rate their mood on a visual analogue scale ranging from 0 to 100, which has been validated against some clinical ratings, for example, the Hamilton Depression Rating Scale and the Young Mania Rating Scale 15. In addition to rating their mood state, patients are asked to describe features of their mood state, for example, reduced sleep, grandiose thoughts or hospitalisation.…”

Section: The Present Problemmentioning

confidence: 99%

The promise of digital mood tracking technologies: are we heading on the right track?

Malhi¹,

Hamilton²,

Morris³

et al. 2017

Evid Based Mental Health

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The growing understanding that mood disorders are dynamic in nature and fluctuate over variable epochs of time has compelled researchers to develop innovative methods of monitoring mood. Technological advancement now allows for the detection of minute-to-minute changes while also capturing a longitudinal perspective of an individual's illness. Traditionally, assessments of mood have been conducted by means of clinical interviews and paper surveys. However, these methods are often inaccurate due to recall bias and compliance issues, and are limited in their capacity to collect and process data over long periods of time. The increased capability, availability and affordability of digital technologies in recent decades has offered a novel, non-invasive alternative to monitoring mood and emotion in daily life. This paper reviews the emerging literature addressing the use of digital mood tracking technologies, primarily focusing on the strengths and inherent limitations of using these new methods including electronic self-report, behavioural data collection and wearable physiological biosensors. This developing field holds great promise in generating novel insights into the mechanistic processes of mood disorders and improving personalised clinical care. However, further research is needed to validate many of these novel approaches to ensure that these devices are indeed achieving their purpose of capturing changes in mood. IntroduCtIonOver the last two decades the technological advances in personal devices have been unprecedented. Due to the ability for immediate communication and access to information, we now live in an era in which for the first time 'bodily functions' can be tracked in real time by individuals themselves. This data can then be simultaneously communicated in real time to systems for storage and analysis, allowing for the development of databases sufficiently large and detailed to meaningfully make sense of biometric data. Yet, in practice, few of these technologies are used, especially by clinicians, either for research or day-to-day clinical care. In psychiatric practice, these technologies have the potential to track the symptoms of mood disorders as devices can log objective measures of mood, arousal, activity and sleep, and allow users to input subjective experiences. Additionally, devices have the potential to be part of daily personal care, providing alerts for pharmacological and psychological treatment adherence and undertaking physical activity. Promisingly, with further research, there is the potential for these devices to be embedded within routine clinical management, as algorithms for predicting the dynamic nature of mood disorder presentations and treatment responses are developed. In order to progress to this stage, it is necessary to examine the nature of mood disorders and how existing technologies are being employed to measure this. This review examines the digital techniques that have been used by researchers to capture the dynamic nature of mood disorders and points to ...

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Self-reporting software for bipolar disorder: Validation of ChronoRecord by patients with mania

Cited by 64 publications

References 24 publications

Antidepressant dosage taken by patients with bipolar disorder: factors associated with irregularity

Antidepressant dosage taken by patients with bipolar disorder: factors associated with irregularity

Subsyndromal Mood Symptoms: A Useful Concept for Maintenance Studies of Bipolar Disorder?

The promise of digital mood tracking technologies: are we heading on the right track?

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