Supporting Self-management and Quality of Life in Bipolar Disorder With the PolarUs App (Alpha): Protocol for a Mixed Methods Study

被引:3
作者
Michalak, Erin E. [1 ]
Barnes, Steven J. [2 ]
Morton, Emma [1 ]
O'Brien, Heather L. [3 ]
Murray, Greg [4 ]
Hole, Rachelle [5 ]
Meyer, Denny [4 ]
机构
[1] Univ British Columbia, Dept Psychiat, Vancouver, BC, Canada
[2] Univ British Columbia, Dept Psychol, Vancouver, BC, Canada
[3] Univ British Columbia, Sch Informat, Vancouver, BC, Canada
[4] Swinburne Univ Technol, Ctr Mental Hlth, Melbourne, BC, Canada
[5] Univ British Columbia, Canadian Inst Inclus & Citizenship, Kelowna, BC, Canada
基金
加拿大健康研究院;
关键词
eHealth; mobile health; mHealth; bipolar disorder; self; -management; engagement; mobile phone; SMARTPHONE APPS; CONFIDENCE-INTERVALS; USER ENGAGEMENT; RATING-SCALE; WHOQOL-BREF; HEALTH; RELIABILITY; DEPRESSION; TECHNOLOGIES; PREFERENCES;
D O I
10.2196/36213
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Quality of life (QoL) is increasingly being recognized as a key outcome of interventions for bipolar disorder (BD). Mobile phone apps can increase access to evidence-based self-management strategies and provide real-time support. However, although individuals with lived experiences desire support with monitoring and improving broader health domains, existing BD apps largely target mood symptoms only. Further, evidence from the broader mobile health (mHealth) literature has shown that the desires and goals of end users are not adequately considered during app development, and as a result, engagement with mental health apps is suboptimal. To capitalize on the potential of apps to optimize wellness in BD, there is a need for interventions developed in consultation with real-world users designed to support QoL self-monitoring and self-management. Objective: This mixed methods pilot study was designed to evaluate the alpha version of the newly developed PolarUs app, developed to support QoL self-monitoring and self-management in people with BD. Co-designed using a community-based participatory research framework, the PolarUs app builds on the web-based adaptation of a BD-specific QoL self-assessment measure and integrates material from a web-based portal providing information on evidence-informed self-management strategies in BD. The primary objectives of this project were to evaluate PolarUs app feasibility (via behavioral use metrics), the impact of PolarUs (via the Brief Quality of Life in Bipolar Disorder scale, our primary outcome measure), and explore engagement with the PolarUs app (via quantitative and qualitative methods). Methods: Participants will be residents of North America (N=150), aged >18 years, with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision diagnosis of BD type 1, BD type 2, or BD not otherwise specified as assessed by structured diagnostic interview. An embedded mixed methods research design will be adopted; qualitative interviews with a purposefully selected subsample (approximately, n=30) of participants will be conducted to explore in more depth feasibility, impact, and engagement with the PolarUs app over the 12-week study period. Results: At the time of publication of this protocol, the development of the alpha version of the PolarUs app was complete. Conclusions: Beyond contributing knowledge on the feasibility and impact of a novel app to support QoL and self-management in BD, this study will also provide new insights related to engagement with mHealth apps. Furthermore, it will function as a case study of successful co-design between people with BD, health care providers, and BD researchers, providing a template for the future use of community-based participatory research frameworks in mHealth intervention development. The results will be used to further refine the PolarUs app and inform the design of a larger clinical trial. International Registered Report Identifier (IRRID): PRR1-10.2196/36213
引用
收藏
页数:16
相关论文
共 96 条
[1]   Online, social media and mobile technologies for psychosis treatment: A systematic review on novel user-led interventions [J].
Alvarez-Jimenez, M. ;
Alcazar-Corcoles, M. A. ;
Gonzalez-Blanch, C. ;
Bendall, S. ;
McGorry, P. D. ;
Gleeson, J. F. .
SCHIZOPHRENIA RESEARCH, 2014, 156 (01) :96-106
[2]  
[Anonymous], 1996, Outcome measures for health education and other health care interventions
[3]  
[Anonymous], HEYMASLO
[4]  
[Anonymous], 3 JS JAVASCRIPT 3D L
[5]   Is there a trial bias impacting user engagement with unguided e-mental health interventions? A systematic comparison of published reports and real-world usage of the same programs [J].
Baumel, Amit ;
Edan, Stav ;
Kane, John M. .
TRANSLATIONAL BEHAVIORAL MEDICINE, 2019, 9 (06) :1020-1033
[6]   Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis [J].
Baumel, Amit ;
Muench, Frederick ;
Edan, Stav ;
Kane, John M. .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2019, 21 (09)
[7]   A collaborative approach to the treatment alliance in bipolar disorder [J].
Berk, M ;
Berk, L ;
Castle, D .
BIPOLAR DISORDERS, 2004, 6 (06) :504-518
[8]   Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review [J].
Borghouts, Judith ;
Eikey, Elizabeth ;
Mark, Gloria ;
De Leon, Cinthia ;
Schueller, Stephen M. ;
Schneider, Margaret ;
Stadnick, Nicole ;
Zheng, Kai ;
Mukamel, Dana ;
Sorkin, Dara H. .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (03)
[9]   Measures of Self-Efficacy [J].
Brady, Teresa J. .
ARTHRITIS CARE & RESEARCH, 2011, 63 :S473-S485
[10]  
Braun V., 2006, QUAL RES PSYCHOL, V3, P77, DOI [DOI 10.1080/14780887.2020.1769238, DOI 10.1191/1478088706QP063OA, 10.1191/1478088706qp063oa]