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标题：An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study
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作者：Anupama Kumar ; Michael Wang ; Alison Riehm 等
期刊名称：JMIR Mental Health
电子版ISSN：2368-7959
出版年度：2020
卷号：7
期号：5
页码：1-7
DOI：10.2196/16237
出版社：JMIR Publications Inc., Toronto, Canada
摘要：Background: Electronic tracking has been utilized for a variety of health conditions. Previous studies have shown that there is higher adherence to electronic methods vs paper-and-pencil tracking modalities. Electronic tracking also ensures that there are no back-filled entries, where patients have—to appear compliant—entered their responses retrospectively just before their visits with their health care provider. On the basis of the recognition of an unmet need for a Web-based automated platform to track psychiatric outcomes, Johns Hopkins University partnered with Health Central (a subsidiary of Remedy Health Media LLC) to develop Mood 24/7, an electronic, mobile, automated, SMS-based mood tracker. This is a pilot study to validate the use of Mood 24/7 in anticipation of clinical trials to demonstrate the therapeutic benefit on patients’ health outcomes of utilizing digital mood-tracking technology. Objective: Mood 24/7 is an electronic mood-monitoring platform developed to accurately and efficiently track mood over time through automated daily SMS texts or emails. This study was designed to assess the accuracy and validity of Mood 24/7 in an outpatient psychiatric setting. Methods: This pilot study involved a retrospective chart review for depressed outpatients (N=9) to compare their self-reported Mood 24/7 daily mood ratings with their psychiatrist’s independent clinical mood assessment at the time of the patient’s visit. Their mood ratings via Mood 24/7 were collected over 36 weeks. In addition, a mixed model analysis was applied to compare the weekly Montgomery-Åsberg Depression Rating Scale (MADRS) scores with Mood 24/7 scores over an average of 3 months. Results: A 97.2% (315/324) digital mood reporting adherence was found over 36 weeks, and a significant correlation ( r =0.86, P <.001) was observed between patients’ Mood 24/7 scores and their psychiatrist’s blinded clinical assessment of the patient’s mood when seen in the clinic. In addition, a significant concordance (intraclass correlation of 0.69, 95% CI 0.33-0.91, P <.001) was observed in the mixed model analysis of the clinician-administered MADRS vs Mood 24/7 scores over time. Conclusions: Our chart review and mixed model analyses demonstrate that Mood 24/7 is a valid instrument for convenient, simple, noninvasive, and accurate longitudinal mood assessment in the outpatient clinical setting.
关键词：depression;text messaging;patient monitoring;mobile phone;short message service;ecological momentary assessment;digital health