Experiences of Remote Mood and Activity Monitoring in Bipolar Disorder: A Qualitative Study

Saunders, Kate E. A.; Bilderbeck, Amy C.; Panchal, Priyanka; Atkinson, Lauren Z; Geddes, John; Goodwin, Guy M.

doi:10.1016/j.eurpsy.2016.11.005

Cited by 79 publications

(88 citation statements)

References 24 publications

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“…Participants who were depressed were sometimes disheartened from monitoring. Monitoring might also exacerbate potential feelings of paranoia in hypomanic or manic mood episodes, as previous studies have found . Another reason may be the short duration of the study.…”

Section: Discussionmentioning

confidence: 92%

“…Another reason may be the short duration of the study. Although monitoring could lead to earlier interventions and a better relationship between the patient and the clinician, this study may not have been long enough for improvement to be observed.…”

Section: Discussionmentioning

confidence: 99%

“…They allow the user to record symptoms at set intervals over time. Individuals with mental illness are generally open to the use of mobile technology, and point to self‐awareness and communication between patients and clinicians as reasons for engaging in self‐monitoring . Visualization of symptom patterns over time may also be considered a specific strategy for increasing engagement .…”

Section: Introductionmentioning

confidence: 99%

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

2019

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Objectives 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. Methods 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. Results 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. Conclusions 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. Trial registration: http://ClinicalTrials.gov NCT03358238.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2019

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“…Indeed, a recent systematic review found that actual acceptability of various aspects of DHIs tended to be higher than hypothetical acceptability [34]. Similarly, after using a mood monitoring app for 3 months as part of the AMoSS study, participants with bipolar disorder were generally willing for clinicians to access the data [59]. However, although clinician access was viewed by participants as potentially valuable, the practical and legal implications of such access requires further consideration if apps are to include this feature.…”

Section: Principal Resultsmentioning

confidence: 99%

Development and Long-Term Acceptability of ExPRESS, a Mobile Phone App to Monitor Basic Symptoms and Early Signs of Psychosis Relapse (Preprint)

Eisner¹,

Drake²,

Berry³

et al. 2018

Preprint

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“…Further, smartphone delivered interventions that adapt to changes in individuals' internal states and external contexts have the potential to provide support at specific vulnerable periods to help them engage in more adaptive behaviors. To date, the vast majority of adaptive smartphone delivered behavioral interventions use technologies that measure mood states through self-report (e.g., [19]), phone usage (e.g., [20]), as well as bio-parameters, such as activity level, through accelerometers (e.g., [21], and environmental changes through global positioning sensors (GPS) (e.g., [22]). Fewer mHealth interventions have used continuous monitoring of individuals' physiological states.…”

Section: Introductionmentioning

confidence: 99%

Theoretically-Based Emotion Regulation Strategies Using a Mobile App and Wearable Sensor Among Homeless Adolescent Mothers: Acceptability and Feasibility Study (Preprint)

Leonard¹,

Casarjian²,

Fletcher³

et al. 2017

Preprint

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Background: Many adolescent mothers (AMs) are parenting young children under highly stressful conditions as they are managing first-time parenthood, poverty, lack of housing, school/work demands, and challenging peer and familial relationships. Increasing AMs effective emotion regulation strategies using 'just-in-time' mobile technology has the potential to intervene at various points in the emotion regulation process to provide support for more adaptive emotional and behavioral regulation in the course of their daily life. Objective: The goal of this paper is to examine the acceptability, feasibility, use patterns, and mechanisms by which the technology fostered AMs adaptive emotion regulation strategies under real-life conditions. Methods: Participants (N=49) were enrolled in the intervention condition of a randomizedcontrolled pilot study of homeless AMs living in group-based shelters. Intervention activities involved a blended intervention consisting of in-person, provider-delivered intervention sessions and the companion Calm Mom technology. Calm Mom consisted of a mobile app and wrist-worn sensorband for the ambulatory measurement and alerting of increased electrodermal activity (EDA), a physiological measurement of stress. We examined logs of mobile app activity and conducted semi-structured qualitative interviews with a subsample (N= 10) of participants. Qualitative data analysis was guided by the theoretical frames of the intervention and a technology acceptance models and included an analysis of emerging themes and concepts. Results: Participants used one or more elements of the technology on average, 44.11% of days they had the Calm Mom technology (SD = 24.82). Overall, participants indicated that one or more of the elements Calm Mom supported their ability to effectively regulate their emotions in the course of their daily life in ways that were consonant with the intervention's theoretical model. For many AMs, the app became an integral tool for managing stress. Due to technical challenges, fewer participants received sensorband alerts however, those that received alerts reported high levels of acceptability as the technology helped them to identify their emotions and supported them in engaging in more adaptive behaviors during real-life stressful situations with their children, peers, and family members. Conclusions: Calm Mom is a promising technology for providing theoretically driven behavioral intervention strategies during real-life stressful moments among a highly vulnerable population. Future research efforts will involve addressing technology challenges and refining tailoring algorithms for implementation in larger scale studies.

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Experiences of Remote Mood and Activity Monitoring in Bipolar Disorder: A Qualitative Study

Cited by 79 publications

References 24 publications

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

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

Development and Long-Term Acceptability of ExPRESS, a Mobile Phone App to Monitor Basic Symptoms and Early Signs of Psychosis Relapse (Preprint)

Theoretically-Based Emotion Regulation Strategies Using a Mobile App and Wearable Sensor Among Homeless Adolescent Mothers: Acceptability and Feasibility Study (Preprint)

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