Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study
| Autor: | Beiwinkel, Till, Kindermann, Sally, Maier, Andreas, Kerl, Christopher, Moock, Jörn, Barbian, Guido, Rössler, Wulf |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
Informatics communication patterns smartphone Relapse prevention law.invention 03 medical and health sciences 0302 clinical medicine Randomized controlled trial sensor technology Rating scale law mental disorders medicine Clinical significance Bipolar disorder Depression (differential diagnoses) bipolar disorder Original Paper Health sciences medicine.disease activity patterns phase transitions 030227 psychiatry monitoring Psychiatry and Mental health Mood Physical therapy medicine.symptom Psychology Mania 030217 neurology & neurosurgery Clinical psychology |
| Zdroj: | Beiwinkel, T, Kindermann, S, Maier, A, Kerl, C, Moock, J, Barbian, G & Rössler, W 2016, ' Using Smartphones to Monitor Bipolar Disorder Symptoms : A Pilot Study ' JMIR mental health, vol 3, no. 1, pp. e2 . DOI: 10.2196/mental.4560 JMIR Mental Health Beiwinkel, T, Kindermann, S, Maier, A, Kerl, C, Moock, J, Barbian, G & Rössler, W 2016, ' Using Smartphones to Monitor Bipolar Disorder Symptoms : A Pilot Study ', JMIR Mental Health, vol. 3, no. 1, e2 . https://doi.org/10.2196/mental.4560 |
| ISSN: | 2368-7959 |
| DOI: | 10.2196/mental.4560 |
| Popis: | BACKGROUND: Relapse prevention in bipolar disorder can be improved by monitoring symptoms in patients' daily life. Smartphone apps are easy-to-use, low-cost tools that can be used to assess this information. To date, few studies have examined the usefulness of smartphone data for monitoring symptoms in bipolar disorder.OBJECTIVE: We present results from a pilot test of a smartphone-based monitoring system, Social Information Monitoring for Patients with Bipolar Affective Disorder (SIMBA), that tracked daily mood, physical activity, and social communication in 13 patients. The objective of this study was to investigate whether smartphone measurements predicted clinical symptoms levels and clinical symptom change. The hypotheses that smartphone measurements are (1) negatively related to clinical depressive symptoms and (2) positively related to clinical manic symptoms were tested.METHODS: Clinical rating scales were administered to assess clinical depressive and manic symptoms. Patients used a smartphone with the monitoring app for up to 12 months. Random-coefficient multilevel models were computed to analyze the relationship between smartphone data and externally rated manic and depressive symptoms. Overall clinical symptom levels and clinical symptom changes were predicted by separating between-patient and within-patient effects. Using established clinical thresholds from the literature, marginal effect plots displayed clinical relevance of smartphone data.RESULTS: Overall symptom levels and change in clinical symptoms were related to smartphone measures. Higher overall levels of clinical depressive symptoms were predicted by lower self-reported mood measured by the smartphone (beta=-.56, PCONCLUSIONS: Clinical symptoms were related to some objective and subjective smartphone measurements, but not all smartphone measures predicted the occurrence of bipolar symptoms above clinical thresholds. Thus, smartphones have the potential to monitor bipolar disorder symptoms in patients' daily life. Further validation of monitoring tools in a larger sample is needed. Conclusions are limited by the low prevalence of manic and depressive symptoms in the study sample.TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN): 05663421; http://www.controlled-trials.com/ISRCTN05663421 (Archived by WebCite at http://www.webcitation.org/6d9wsibJB). BACKGROUND: Relapse prevention in bipolar disorder can be improved by monitoring symptoms in patients' daily life. Smartphone apps are easy-to-use, low-cost tools that can be used to assess this information. To date, few studies have examined the usefulness of smartphone data for monitoring symptoms in bipolar disorder. OBJECTIVE: We present results from a pilot test of a smartphone-based monitoring system, Social Information Monitoring for Patients with Bipolar Affective Disorder (SIMBA), that tracked daily mood, physical activity, and social communication in 13 patients. The objective of this study was to investigate whether smartphone measurements predicted clinical symptoms levels and clinical symptom change. The hypotheses that smartphone measurements are (1) negatively related to clinical depressive symptoms and (2) positively related to clinical manic symptoms were tested. METHODS: Clinical rating scales were administered to assess clinical depressive and manic symptoms. Patients used a smartphone with the monitoring app for up to 12 months. Random-coefficient multilevel models were computed to analyze the relationship between smartphone data and externally rated manic and depressive symptoms. Overall clinical symptom levels and clinical symptom changes were predicted by separating between-patient and within-patient effects. Using established clinical thresholds from the literature, marginal effect plots displayed clinical relevance of smartphone data. RESULTS: Overall symptom levels and change in clinical symptoms were related to smartphone measures. Higher overall levels of clinical depressive symptoms were predicted by lower self-reported mood measured by the smartphone (beta=-.56, P |
| Databáze: | OpenAIRE |
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