BACKGROUND
Bipolar disorder is a severe mental illness characterized by recurrent episodes of depressed, elevated and mixed mood states. Pharmacological management combined with adjunctive psychotherapy can decrease symptoms, lower relapse rates and improve quality of life; however, access to psychotherapy is limited. Mental health technologies such as smartphone applications are being studied as a means to increase access to and enhance the effectiveness of adjunctive psychotherapies for bipolar disorder. These studies have demonstrated that individuals with bipolar disorder find this intervention format acceptable, but our understanding of how people utilize and integrate these tools into their behavior change and maintenance processes remains limited.
OBJECTIVE
The objective of this study was to explore how individuals with bipolar disorder perceive and utilize a smartphone intervention for health behavior change and maintenance.
METHODS
Individuals with bipolar disorder participated in a pilot study of LiveWell, a smartphone-based self-management intervention. At the end of the study, all participants completed in-depth qualitative exit interviews. The behavior change framework developed to organize the intervention design was used to deductively code behavioral targets and determinants involved in target engagement and inductive coding was used to identify themes not captured by this framework.
RESULTS
In terms of behavioral targets, participants emphasized the importance of managing mood episode related signs and symptoms. They also discussed the importance of maintaining regular routines, sleep duration, and medication adherence. In addition, participants emphasized that receiving support from a coach as well as seeking and receiving assistance from family, friends and providers was important for managing behavioral targets and staying well. In terms of determinants, participants stressed the important role of monitoring for their behavior change and maintenance efforts. Participants indicated that monitoring facilitated self-awareness and reflection which they felt was valuable for staying well. Some participants also felt that the intervention facilitated learning information necessary for managing bipolar disorder but others felt that the information provided was too basic.
CONCLUSIONS
In addition to addressing acceptability, satisfaction, and engagement, person-based design of mental health technologies can be used to understand how people experience the impact of these technologies on their behavior change and maintenance efforts. This understanding may then be used to guide ongoing intervention development. In this study, participants discussed their perceptions that managing signs and symptoms and maintaining regular routines, sleep duration, and medication adherence were important for staying well and that monitoring played an important role in these efforts. These perceptions aligned with the intervention's primary behavioral targets and use of a monitoring tool as a core intervention feature. However, participants also highlighted how the intervention encouraged involving family and friends in their change efforts. While content addressing building and engaging supports was included in the intervention, this was not a primary intervention target. Participant feedback thus indicates that developing additional content and tools to address building and engaging social support may be an important avenue for improving LiveWell. Our findings suggest that using a comprehensive behavior change framework to understand participant perceptions of their behavior change and maintenance efforts may help facilitate ongoing intervention development.
CLINICALTRIAL
NCT02405117
A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data
