Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)—recommendations

Abstract

Prospective monitoring of mood was started by Kraepelin who made and recorded frequent observations of his patients. During the last decade, the number of research studies using remotely collected electronic mood data has increased markedly. However, standardized measures and methods to collect, analyze and report electronic mood data are lacking. To get better understanding of the nature, correlates and implications of mood and mood instability, and to standardize this process, we propose guidelines for reporting of electronic mood data (eMOOD). This paper provides an overview of remotely collected electronic mood data in mood disorders and discusses why standardized reporting is necessary to evaluate and inform mood research in Psychiatry. Adherence to these guidelines will improve interpretation, reproducibility and future meta-analyses of mood monitoring in mood disorder research.

A comparative study of engagement in mobile and wearable health monitoring for bipolar disorder

“…Insights gained should improve patient experience not only with self‐monitoring, but also help develop standardized practices for mobile health research in psychiatry . Insights can also be integrated into treatment solutions that use digital health technology such as creating goals, increasing access; and delivering psychosocial interventions . Furthermore, it may not be beneficial to all patients to use technology 24/7, thus it is important to remain flexible and listen to patients’ preferences because if they do not feel they benefit from the technology, they will have low motivation to use it.…”

Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor Analytics

“…It is led by Dr. Bing Wang, Dr. Jinbo Bi and Dr. Alexander Russell from UConn and Dr. Jayesh Kamath from UCHC. The project is broadly related to the studies that use smartphones and wearable devices to monitor, manage and assist the treatment of affective disorders (see reviews in [26][27][28][29][30][31][32]). As an example, MONARCA I and II trials feature patient self-monitoring using both objective sensory data and subjective self-assessment on smartphones; in addition, the data can be visualized on a web portal that can be accessed by both patients and clinicians [39,40].…”

“…Several reports provide evidence of feasibility and potential efficacy of using smartphone based data for clinical inferences in the management of affective disorders, primarily depression and bipolar disorder (by our team and other research groups, see reviews in [26][27][28][29][30][31][32]). Specifically, in the LifeRhythm Project, a 4-year project funded by the National Science Foundation, our group conducted a two-phase study in college age participants with depression (in comparison with a control group).…”

Remote Monitoring for Understanding Mechanisms and Prediction in Psychiatry

“…Many wearables have been shown to give inaccurate readouts of sleep and activity and none of the commercially available devices publish their analysis algorithms or allow user to access raw data. At present there is no consensus as to how remotely collected data should be reported or analysed although a set of reporting guidelines for mood data is in preparation [41]. The FDA is now in the process of developing guidance for the use of digital health medical devices and has launched a pilot precertification plan for digital health technology oversight.…”