scholarly journals Digital Health Literacy in Bipolar Disorder: International Web-Based Survey

10.2196/29764 ◽  
2021 ◽  
Vol 8 (10) ◽  
pp. e29764
Author(s):  
Emma Morton ◽  
Kendall Ho ◽  
Steven J Barnes ◽  
Erin E Michalak
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Health Literacy ◽  
Technology Use ◽  
Digital Health ◽  
Health Resources ◽  
Postgraduate Education ◽  
Ease Of Use ◽  
Self Management ◽  
Web Based

Background Web-based resources can support people with bipolar disorder (BD) to improve their knowledge and self-management. However, publicly available resources are heterogeneous in terms of their quality and ease of use. Characterizing digital health literacy (the skillset that enable people to navigate and make use of health information in a web-based context) in BD will support the development of educational resources. Objective The aim of this study was to develop understanding of digital health literacy and its predictors in people with BD. Methods A web-based survey was used to explore self-reported digital health literacy (as measured by the e-Health Literacy Scale [eHEALS]) in people with BD. Multiple regression analysis was used to evaluate potential predictors, including demographic/clinical characteristics and technology use. Results A total of 919 respondents (77.9% female; mean age 36.9 years) completed the survey. Older age (β=0.09; P=.01), postgraduate education (β=0.11; P=.01), and current use of self-management apps related to BD (β=0.13; P<.001) were associated with higher eHEALS ratings. Conclusions Levels of self-reported digital health literacy were comparable or higher than other studies in the general population and specific physical/mental health conditions. However, individuals with BD who are younger, have completed less education, or are less familiar with mental health apps may require extra support to safely and productively navigate web-based health resources. Relevant educational initiatives are discussed. Future studies should evaluate skill development interventions for less digitally literate groups.

scholarly journals Digital Health Literacy in Bipolar Disorder: International Web-Based Survey (Preprint)

2021 ◽  
Author(s):  
Emma Morton ◽  
Kendall Ho ◽  
Steven J Barnes ◽  
Erin E Michalak
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Health Literacy ◽  
Technology Use ◽  
Digital Health ◽  
Health Resources ◽  
Postgraduate Education ◽  
Ease Of Use ◽  
Self Management ◽  
Web Based

BACKGROUND Web-based resources can support people with bipolar disorder (BD) to improve their knowledge and self-management. However, publicly available resources are heterogeneous in terms of their quality and ease of use. Characterizing digital health literacy (the skillset that enable people to navigate and make use of health information in a web-based context) in BD will support the development of educational resources. OBJECTIVE The aim of this study was to develop understanding of digital health literacy and its predictors in people with BD. METHODS A web-based survey was used to explore self-reported digital health literacy (as measured by the e-Health Literacy Scale [eHEALS]) in people with BD. Multiple regression analysis was used to evaluate potential predictors, including demographic/clinical characteristics and technology use. RESULTS A total of 919 respondents (77.9% female; mean age 36.9 years) completed the survey. Older age (β=0.09; <i>P</i>=.01), postgraduate education (β=0.11; <i>P</i>=.01), and current use of self-management apps related to BD (β=0.13; <i>P</i>&lt;.001) were associated with higher eHEALS ratings. CONCLUSIONS Levels of self-reported digital health literacy were comparable or higher than other studies in the general population and specific physical/mental health conditions. However, individuals with BD who are younger, have completed less education, or are less familiar with mental health apps may require extra support to safely and productively navigate web-based health resources. Relevant educational initiatives are discussed. Future studies should evaluate skill development interventions for less digitally literate groups.

scholarly journals Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study (Preprint)

2019 ◽  
Author(s):  
Erin E Michalak ◽  
Emma Morton ◽  
Steven J Barnes ◽  
Rachelle Hole ◽  
Greg Murray ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Bipolar Disorder ◽  
Mixed Methods ◽  
Chronic Disease ◽  
Knowledge Translation ◽  
Digital Health ◽  
Self Management ◽  
Web Based ◽  
Health Technologies

BACKGROUND Self-management is increasingly recognized as an important method through which individuals with bipolar disorder (BD) may cope with symptoms and improve quality of life. Digital health technologies have strong potential as a method to support the application of evidence-informed self-management strategies in BD. Little is known, however, about how to most effectively maximize user engagement with digital platforms. OBJECTIVE The aims of this study were (1) to create an innovative Web-based Bipolar Wellness Centre, (2) to conduct a mixed-methods (ie, quantitative and qualitative) evaluation to assess the impact of different sorts of engagement (ie, knowledge translation [KT]), and (3) to support engagement with the self-management information in the Bipolar Wellness Centre. METHODS The project was implemented in 2 phases. In phase 1, community-based participatory research and user-centered design methods were used to develop a website (Bipolar Wellness Centre) housing evidence-informed tools and strategies for self-management of BD. In phase 2, a mixed-methods evaluation was conducted to explore the potential impact of 4 KT strategies (Web-based webinars, Web-based videos, Web-based one-to-one Living Library peer support, and in-person workshops). Quantitative assessments occurred at 2 time points—preintervention and 3 weeks postintervention. Purposive sampling was used to recruit a subsample of participants for the qualitative interviews, ensuring each KT modality was represented, and interviews occurred approximately 3 weeks postintervention. RESULTS A total of 94 participants were included in the quantitative analysis. Responses to evaluative questions about engagement were broadly positive. When averaged across the 4 KT strategies, significant improvements were observed on the Bipolar Recovery Questionnaire (F1,77=5.887; P=.02) and Quality of Life in Bipolar Disorder (F1,77=8.212; P=.005). Nonsignificant improvements in positive affect and negative affect were also observed. The sole difference that emerged between KT strategies related to the Chronic Disease Self-Efficacy measure, which decreased after participation in the webinar and video arms but increased after the Living Library and workshop arms. A subsample of 43 participants was included in the qualitative analyses, with the majority of participants describing positive experiences with the 4 KT strategies; peer contact was emphasized as a benefit across all strategies. Infrequent negative experiences were reported in relation to the webinar and video strategies, and included technical difficulties, the academic tone of webinars, and feeling unable to relate to the actor in the videos. CONCLUSIONS This study adds incremental evidence to a growing literature that suggests digital health technologies can provide effective support for self-management for people with BD. The finding that KT strategies could differentially impact chronic disease self-efficacy (hypothesized as being a product of differences in degree of peer contact) warrants further exploration. Implications of the findings for the development of evidence-informed apps for BD are discussed in this paper.

scholarly journals Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study

10.2196/13493 ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. e13493 ◽  
Author(s):  
Erin E Michalak ◽  
Emma Morton ◽  
Steven J Barnes ◽  
Rachelle Hole ◽  
Greg Murray ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Bipolar Disorder ◽  
Mixed Methods ◽  
Chronic Disease ◽  
Knowledge Translation ◽  
Digital Health ◽  
Self Management ◽  
Web Based ◽  
Health Technologies

Background Self-management is increasingly recognized as an important method through which individuals with bipolar disorder (BD) may cope with symptoms and improve quality of life. Digital health technologies have strong potential as a method to support the application of evidence-informed self-management strategies in BD. Little is known, however, about how to most effectively maximize user engagement with digital platforms. Objective The aims of this study were (1) to create an innovative Web-based Bipolar Wellness Centre, (2) to conduct a mixed-methods (ie, quantitative and qualitative) evaluation to assess the impact of different sorts of engagement (ie, knowledge translation [KT]), and (3) to support engagement with the self-management information in the Bipolar Wellness Centre. Methods The project was implemented in 2 phases. In phase 1, community-based participatory research and user-centered design methods were used to develop a website (Bipolar Wellness Centre) housing evidence-informed tools and strategies for self-management of BD. In phase 2, a mixed-methods evaluation was conducted to explore the potential impact of 4 KT strategies (Web-based webinars, Web-based videos, Web-based one-to-one Living Library peer support, and in-person workshops). Quantitative assessments occurred at 2 time points—preintervention and 3 weeks postintervention. Purposive sampling was used to recruit a subsample of participants for the qualitative interviews, ensuring each KT modality was represented, and interviews occurred approximately 3 weeks postintervention. Results A total of 94 participants were included in the quantitative analysis. Responses to evaluative questions about engagement were broadly positive. When averaged across the 4 KT strategies, significant improvements were observed on the Bipolar Recovery Questionnaire (F1,77=5.887; P=.02) and Quality of Life in Bipolar Disorder (F1,77=8.212; P=.005). Nonsignificant improvements in positive affect and negative affect were also observed. The sole difference that emerged between KT strategies related to the Chronic Disease Self-Efficacy measure, which decreased after participation in the webinar and video arms but increased after the Living Library and workshop arms. A subsample of 43 participants was included in the qualitative analyses, with the majority of participants describing positive experiences with the 4 KT strategies; peer contact was emphasized as a benefit across all strategies. Infrequent negative experiences were reported in relation to the webinar and video strategies, and included technical difficulties, the academic tone of webinars, and feeling unable to relate to the actor in the videos. Conclusions This study adds incremental evidence to a growing literature that suggests digital health technologies can provide effective support for self-management for people with BD. The finding that KT strategies could differentially impact chronic disease self-efficacy (hypothesized as being a product of differences in degree of peer contact) warrants further exploration. Implications of the findings for the development of evidence-informed apps for BD are discussed in this paper.

Beyond symptom monitoring: Consumer needs for bipolar disorder self-management using smartphones

2017 ◽  
Vol 44 ◽  
pp. 210-216 ◽  
Author(s):  
J. Nicholas ◽  
K. Boydell ◽  
H. Christensen
Keyword(s):  
Bipolar Disorder ◽  
Young Adults ◽  
Technology Use ◽  
Data Privacy ◽  
Management Strategies ◽  
Ease Of Use ◽  
Warning Signs ◽  
Self Management ◽  
Scientific Quality ◽  
Wide Range

AbstractObjectives:To investigate the potential use of smartphone apps to support self-management in young adults with bipolar disorder.Methods:We recruited 89 young adults (18–30 years) with bipolar disorder to complete a cross-sectional online survey. The survey contained quantitative and qualitative questions regarding technology use, current use of disorder-management apps, types of apps desired for disorder management, and app features that users would consider important when selecting apps. Results were analysed using descriptive statistics and thematic analysis.Results:Almost all participants used a smartphone daily and 40% currently used apps for disorder management. Of those not currently using apps, 79% indicated they would like to try them. On average, participants rated 61% of the self-management strategies listed as desirable for app support, with sleep-management, understanding early warning signs and triggers, and stay-well plans the most frequently endorsed. App features considered important during app selection were ease-of-use, scientific quality, flexibility/customisation, and data privacy.Conclusions:The results indicate that young adults with bipolar disorder are interested in a wide range of apps for self-management. Participants were interested in apps to support self-management strategies considered clinically important for disorder management. Many of these app needs are currently unmet. Results suggest diversifying and prioritising app capabilities to ensure evidence-based resources for a broader range of app functions are available to consumers.

16Up: Outline of a Study Investigating Wellbeing and Information and Communication Technology Use in Adolescent Twins

2020 ◽  
Vol 23 (6) ◽  
pp. 345-357
Author(s):  
Brittany L. Mitchell ◽  
Katherine M. Kirk ◽  
Kerrie McAloney ◽  
Margaret J. Wright ◽  
Tracey A. Davenport ◽  
...  
Keyword(s):  
Mental Health ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Technology Use ◽  
Health Resources ◽  
Physical And Mental Health ◽  
Ict Use ◽  
Hair Samples ◽  
Information And Communication ◽  
Study Participants

AbstractThe ‘16Up’ study conducted at the QIMR Berghofer Medical Research Institute from January 2014 to December 2018 aimed to examine the physical and mental health of young Australian twins aged 16−18 years (N = 876; 371 twin pairs and 18 triplet sets). Measurements included online questionnaires covering physical and mental health as well as information and communication technology (ICT) use, actigraphy, sleep diaries and hair samples to determine cortisol concentrations. Study participants generally rated themselves as being in good physical (79%) and mental (73%) health and reported lower rates of psychological distress and exposure to alcohol, tobacco products or other substances than previously reported for this age group in the Australian population. Daily or near-daily online activity was almost universal among study participants, with no differences noted between males and females in terms of frequency or duration of internet access. Patterns of ICT use in this sample indicated that the respondents were more likely to use online information sources for researching physical health issues than for mental health or substance use issues, and that they generally reported partial levels of satisfaction with the mental health information they found online. This suggests that internet-based mental health resources can be readily accessed by adolescent Australians, and their computer literacy augurs well for future access to online health resources. In combination with other data collected as part of the ongoing Brisbane Longitudinal Twin Study, the 16Up project provides a valuable resource for the longitudinal investigation of genetic and environmental contributions to phenotypic variation in a variety of human traits.

A Smartphone-Based Self-Management Intervention for Individuals with Bipolar Disorder (LiveWell): User Experiences of the Intervention Change Process (Preprint)

2021 ◽  
Author(s):  
Geneva Kay Jonathan ◽  
Cynthia A Dopke ◽  
Tania Michaels ◽  
Clair R Martin ◽  
Chloe Ryan ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Medication Adherence ◽  
Behavior Change ◽  
Intervention Development ◽  
Signs And Symptoms ◽  
Self Management ◽  
Health Technologies ◽  
Management Intervention ◽  
Change Framework

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

scholarly journals Correction: Combined Use of Web-Based and In-Person Education on Ill Health Self-management Skills in Adults With Bipolar Disorder: Protocol for a Mixed Methods Study

10.2196/33506 ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. e33506
Author(s):  
Anna Hatzioannou ◽  
Andreas Chatzittofis ◽  
Virginia Sunday Koutroubas ◽  
Evridiki Papastavrou ◽  
Maria Karanikola
Keyword(s):  
Bipolar Disorder ◽  
Mixed Methods ◽  
Mixed Methods Study ◽  
Self Management ◽  
Management Skills ◽  
Web Based ◽  
Combined Use

scholarly journals Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey

10.2196/24180 ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. e24180
Author(s):  
Banuchitra Suruliraj ◽  
Kitti Bessenyei ◽  
Alexa Bagnell ◽  
Patrick McGrath ◽  
Lori Wozney ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Interactions ◽  
Daily Life ◽  
Health Impact ◽  
Mobile Sensing ◽  
Self Management ◽  
Maladaptive Behaviors ◽  
Web Based ◽  
Health Measures ◽  
Perceived Helpfulness

Background During the COVID-19 pandemic, people had to adapt their daily life routines to the currently implemented public health measures, which is likely to have resulted in a lack of in-person social interactions, physical activity, or sleep. Such changes can have a significant impact on mental health. Mobile sensing apps can passively record the daily life routines of people, thus making them aware of maladaptive behavioral adjustments to the pandemic. Objective This study aimed to explore the views of people on mobile sensing apps that passively record behaviors and their potential to increase awareness and helpfulness for self-managing mental health during the pandemic. Methods We conducted an anonymous web-based survey including people with and those without mental disorders, asking them to rate the helpfulness of mobile sensing apps for the self-management of mental health during the COVID-19 pandemic. The survey was conducted in May 2020. Results The majority of participants, particularly those with a mental disorder (n=106/148, 72%), perceived mobile sensing apps as very or extremely helpful for managing their mental health by becoming aware of maladaptive behaviors. The perceived helpfulness of mobile sensing apps was also higher among people who experienced a stronger health impact of the COVID-19 pandemic (β=.24; 95% CI 0.16-0.33; P<.001), had a better understanding of technology (β=.17; 95% CI 0.08-0.25; P<.001), and had a higher education (β=.1; 95% CI 0.02-0.19; P=.02). Conclusions Our findings highlight the potential of mobile sensing apps to assist in mental health care during the pandemic.

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