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Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments
- Source :
- Translational Psychiatry, Translational Psychiatry, Vol 10, Iss 1, Pp 1-12 (2020), Busk, J, Faurholt-Jepsen, M, Frost, M, Bardram, J E, Kessing, L V & Winther, O 2020, ' Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments ', Translational Psychiatry, vol. 10, 194 . https://doi.org/10.1038/s41398-020-00867-6, Busk, J, Faurholt-Jepsen, M, Frost, M, Bardram, J E, Kessing, L V & Winther, O 2020, ' Daily estimates of clinical severity of symptoms in bipolar disorder from smartphone-based self-assessments ', Translational Psychiatry, vol. 10, no. 1 . https://doi.org/10.1038/s41398-020-00867-6
- Publication Year :
- 2019
-
Abstract
- Currently, the golden standard for assessing the severity of depressive and manic symptoms in patients with bipolar disorder (BD) is clinical evaluations using validated rating scales such as the Hamilton Depression Rating Scale 17-items (HDRS) and the Young Mania Rating Scale (YMRS). Frequent automatic estimation of symptom severity could potentially help support monitoring of illness activity and allow for early treatment intervention between outpatient visits. The present study aimed (1) to assess the feasibility of producing daily estimates of clinical rating scores based on smartphone-based self-assessments of symptoms collected from a group of patients with BD; (2) to demonstrate how these estimates can be utilized to compute individual daily risk of relapse scores. Based on a total of 280 clinical ratings collected from 84 patients with BD along with daily smartphone-based self-assessments, we applied a hierarchical Bayesian modelling approach capable of providing individual estimates while learning characteristics of the patient population. The proposed method was compared to common baseline methods. The model concerning depression severity achieved a mean predicted R2 of 0.57 (SD = 0.10) and RMSE of 3.85 (SD = 0.47) on the HDRS, while the model concerning mania severity achieved a mean predicted R2 of 0.16 (SD = 0.25) and RMSE of 3.68 (SD = 0.54) on the YMRS. In both cases, smartphone-based self-reported mood was the most important predictor variable. The present study shows that daily smartphone-based self-assessments can be utilized to automatically estimate clinical ratings of severity of depression and mania in patients with BD and assist in identifying individuals with high risk of relapse.
- Subjects :
- Self-assessment
medicine.medical_specialty
Self-Assessment
Bipolar Disorder
Affect (psychology)
Young Mania Rating Scale
Article
lcsh:RC321-571
03 medical and health sciences
Cellular and Molecular Neuroscience
0302 clinical medicine
Rating scale
medicine
Humans
030212 general & internal medicine
Bipolar disorder
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Biological Psychiatry
Depression (differential diagnoses)
Psychiatric Status Rating Scales
business.industry
Depression
Bayes Theorem
medicine.disease
030227 psychiatry
Psychiatry and Mental health
Affect
Mood
Physical therapy
Smartphone
medicine.symptom
business
Mania
Subjects
Details
- ISSN :
- 21583188
- Volume :
- 10
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Translational psychiatry
- Accession number :
- edsair.doi.dedup.....002e5036faa4d95159e6dff7c6e468ba