University of Michigan, Ann Arbor, MI, USA.
University of Wisconsin-Madison, Madison, WI, USA.
Bipolar Disord. 2020 Mar;22(2):182-190. doi: 10.1111/bdi.12849. Epub 2019 Oct 25.
Self-monitoring is recommended for individuals with bipolar disorder, with numerous technological solutions available. This study aimed to identify basic components of these solutions that increase engagement with self-monitoring.
Participants with bipolar disorder (n = 47) monitored their symptoms with a Fitbit and a smartphone app and were randomly assigned to either review or not review recorded symptoms weekly. We tested whether individuals would better adhere to and prefer monitoring with passive monitoring with an activity tracker compared to active monitoring with a smartphone app and whether individuals would better adhere to self-monitoring if their recorded symptoms were reviewed with an interviewer.
Monitoring with a smartphone app achieved similar adherence and preference to Fitbit (P > .85). Linear mixed effects modeling found adherence decreased significantly more over the study for the Fitbit (12% more, P < .001) even though more participants reported they would use the Fitbit over a year compared to the app (72.3% vs 46.8%). Reviewing symptoms weekly did not improve adherence, but most participants reported they would prefer to review symptoms with a clinician (74.5%) and on monthly basis (57.5%) compared to alternatives. Participants endorsed sleep as the most important symptom to monitor, forgetfulness as the largest barrier to self-monitoring, and raising self-awareness as the best reason for self-monitoring.
We recommend a combined strategy of wearable and mobile monitoring that includes reminders, targets raising self-awareness, and tracks sleep. A clinician may want to review symptoms on a monthly basis.
ClinicalTrials.gov NCT03358238.
建议双相情感障碍患者进行自我监测,目前有许多技术解决方案可供选择。本研究旨在确定这些解决方案的基本组成部分,以提高患者对自我监测的参与度。
参与者为双相情感障碍患者(n=47),使用 Fitbit 和智能手机应用程序监测症状,并随机分配每周查看或不查看记录的症状。我们测试了与使用智能手机应用程序主动监测相比,个体是否会更喜欢使用带有活动追踪器的被动监测来更好地坚持自我监测,以及如果记录的症状由访谈者进行审查,个体是否会更好地坚持自我监测。
与智能手机应用程序相比,使用智能手机应用程序进行监测具有相似的依从性和偏好(P>.85)。线性混合效应模型发现,尽管更多的参与者报告他们会在未来一年中使用 Fitbit 而不是应用程序(72.3%比 46.8%),但 Fitbit 的依从性在研究期间下降得更为显著(12%,P<.001)。每周查看症状并不能提高依从性,但大多数参与者表示他们更愿意由临床医生(74.5%)并以每月为基础(57.5%)来查看症状,而不是其他选择。参与者认为最需要监测的症状是睡眠,最大的自我监测障碍是健忘,自我监测的最佳理由是提高自我意识。
我们建议采用可穿戴设备和移动监测相结合的策略,包括提醒、提高自我意识的目标以及跟踪睡眠。临床医生可能希望每月查看症状。
ClinicalTrials.gov NCT03358238。