Using technology to improve longitudinal studies: self-reporting with ChronoRecord in bipolar disorder

scientific article published in February 2004

Using technology to improve longitudinal studies: self-reporting with ChronoRecord in bipolar disorder is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1046/J.1399-5618.2003.00085.X
P698PubMed publication ID14996143

P50authorPeter C. WhybrowQ2074257
Michael BauerQ56953337
Paul GrofQ91476141
Natalie RasgonQ96343904
Tasha GlennQ114369954
P2093author name stringLaszlo Gyulai
P2860cites workLongitudinal data analysis (repeated measures) in clinical trialsQ30579318
Modern statistical techniques for the analysis of longitudinal data in biomedical researchQ30615341
Historical perspectives and natural history of bipolar disorderQ33920209
The Altman Self-Rating Mania ScaleQ34065438
Re-evaluating the prevalence of and diagnostic composition within the broad clinical spectrum of bipolar disordersQ34106678
Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal dataQ36888585
The Stanley Foundation Bipolar Treatment Outcome Network. I. Longitudinal methodology.Q40656925
Independent assessment of manic and depressive symptoms by self-rating. Scale characteristics and implications for the study of maniaQ41168251
A prospective investigation of the natural history of the long-term weekly symptomatic status of bipolar II disorder.Q45931601
Toward a refined phenomenology of mania: combining clinician-assessment and self-report in the French EPIMAN studyQ46125435
Signs and symptoms of mania in pure and mixed episodesQ48777412
The Internal State Scale: replication of its discriminating abilities in a multisite, public sector sample.Q51068773
The comparative clinical phenotype and long term longitudinal episode course of bipolar I and II: a clinical spectrum or distinct disorders?Q51951357
Insight into illness in patients with mania, mixed mania, bipolar depression and major depression with psychotic features.Q51951722
Validation of the prospective NIMH-Life-Chart Method (NIMH-LCM-p) for longitudinal assessment of bipolar illness.Q51971858
Preliminary evidence of the reliability and validity of the prospective life-chart methodology (LCM-p).Q51998117
The collaborative practice model for bipolar disorder: design and implementation in a multi-site randomized controlled trial.Q52044411
Psychotropic drug prescription patterns among patients with bipolar I disorder.Q52066927
P433issue1
P921main subjectbipolar disorderQ131755
P304page(s)67-74
P577publication date2004-02-01
P1433published inBipolar DisordersQ15716681
P1476titleUsing technology to improve longitudinal studies: self-reporting with ChronoRecord in bipolar disorder
P478volume6

Reverse relations

cites work (P2860)
Q36807316A Pilot Study of Mood Ratings Captured by Mobile Phone Versus Paper-and-Pencil Mood Charts in Bipolar Disorder.
Q36539519Accuracy of recall for mania symptoms using a three month timeline follow-back interview
Q34433880Antidepressant dosage taken by patients with bipolar disorder: factors associated with irregularity
Q50921748Approximate entropy of self-reported mood prior to episodes in bipolar disorder.
Q33447994Behavioral activities collected through smartphones and the association with illness activity in bipolar disorder.
Q26749257Big data for bipolar disorder
Q34317237Brief depressive symptoms in patients with bipolar disorder: analysis of long-term self-reported data
Q44953683Changes in self-reported sleep duration predict mood changes in bipolar disorder
Q35671034Common use of dietary supplements for bipolar disorder: a naturalistic, self-reported study
Q22252585Computer-Assisted Cognitive-Behavioral Therapy
Q33442123Daily 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
Q33446237Daily mood monitoring of symptoms using smartphones in bipolar disorder: A pilot study assessing the feasibility of ecological momentary assessment
Q33803986Decreasing the minimum length criterion for an episode of hypomania: evaluation using self-reported data from patients with bipolar disorder
Q36257170Detecting Bipolar Depression From Geographic Location Data.
Q33449462Development and Evaluation of a Smartphone-Based Measure of Social Rhythms for Bipolar Disorder
Q31027146Does the use of an automated tool for self-reporting mood by patients with bipolar disorder bias the collected data?
Q30878126Drug treatment patterns in bipolar disorder: analysis of long-term self-reported data
Q26771973Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidence
Q37046907Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature
Q43406703Frequency of subsyndromal symptoms and employment status in patients with bipolar disorder
Q34063460Future directions for research on youth with bipolar spectrum disorders
Q33470008Highs and lows, ups and downs: Meteorology and mood in bipolar disorder
Q35175477Individualized texting for adherence building (iTAB): improving antiretroviral dose timing among HIV-infected persons with co-occurring bipolar disorder
Q89863876Initial and relapse prodromes in adult patients with episodes of bipolar disorder: A systematic review
Q35155900Lamotrigine and GABAA receptor modulators interact with menstrual cycle phase and oral contraceptives to regulate mood in women with bipolar disorder
Q39975649Modeling BAS Dysregulation in Bipolar Disorder
Q88527763Regularity of self-reported daily dosage of mood stabilizers and antipsychotics in patients with bipolar disorder
Q64916392Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)-recommendations.
Q33650472Saving time and money: a validation of the self ratings on the prospective NIMH Life-Chart Method (NIMH-LCM)
Q48352742Self-management strategies used by 'high functioning' individuals with bipolar disorder: from research to clinical practice
Q39971448Self-monitoring practices, attitudes, and needs of individuals with bipolar disorder: implications for the design of technologies to manage mental health
Q38366298Sleep- and circadian rhythm-associated pathways as therapeutic targets in bipolar disorder.
Q30995926Smartphone data as an electronic biomarker of illness activity in bipolar disorder
Q92506522Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders
Q37027786Systematic review of patients' participation in and experiences of technology-based monitoring of mental health symptoms in the community
Q30434498Telemonitoring with respect to mood disorders and information and communication technologies: overview and presentation of the PSYCHE project
Q48508998Temporal relation between sleep and mood in patients with bipolar disorder
Q47698386The Emerging Neurobiology of Bipolar Disorder
Q92655683The True Colours Remote Symptom Monitoring System: A Decade of Evolution
Q50714479The association between concurrent psychotropic medications and self-reported adherence with taking a mood stabilizer in bipolar disorder.
Q92827078The effect of smartphone-based monitoring on illness activity in bipolar disorder: the MONARCA II randomized controlled single-blinded trial
Q93089475Trajectories of adherence to mood stabilizers in patients with bipolar disorder
Q91695704Use of ecological momentary assessment to detect variability in mood, sleep and stress in bipolar disorder
Q48568036Use of polypharmacy and self-reported mood in outpatients with bipolar disorder
Q28602260Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study
Q35201051Validation of life-charts documented with the personal life-chart app - a self-monitoring tool for bipolar disorder