Evidence map›Paper›PMID 41950274›Full record

ArticleJMIR research protocols2026

Cultural Adaptation of a Digital Mobile App for Bipolar Disorder (PolarUs): Protocol for a Qualitative Co-Design Study.

Leena W Chau, Jill K Murphy, Emma Morton, Martin D Provencher, Delphine Raucher-Chene, Steven J Barnes, Erin E Michalak

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Leena W ChauDepartment of Psychiatry, Faculty of Medicine, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, V6T 0A6, Canada, 1 6047248179.ORCID http://orcid.org/0000-0001-8557-3542
Jill K MurphyInterdisciplinary Health Program, St. Francis Xavier University, Antigonish, NS, Canada.ORCID http://orcid.org/0000-0001-8613-4429
Emma MortonFaculty of Medicine, Nursing and Health Sciences, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.ORCID http://orcid.org/0000-0001-6179-1983
Martin D ProvencherDepartment of Psychology, Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0002-6045-2119
Delphine Raucher-CheneDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0002-5663-4454
Steven J BarnesDepartment of Psychology, Faculty of Arts, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-8953-3011
Erin E MichalakDepartment of Psychiatry, Faculty of Medicine, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, V6T 0A6, Canada, 1 6047248179.ORCID http://orcid.org/0000-0002-0812-6527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bipolar disorder (BD) affects approximately 40 million people worldwide and is a chronic, potentially disabling mood disorder. Although effective treatments exist, access to evidence-informed psychosocial care remains limited, particularly for culturally and linguistically diverse populations, contributing to persistent global treatment gaps. Digital mental health interventions (DMHIs), such as smartphone apps, offer a promising means to improve access to self-management support and quality of life (QoL), an outcome prioritized by people with BD and in clinical guidelines. However, most apps for BD lack quality and are not culturally adapted or co-designed with people with BD, limiting relevance and engagement. PolarUs (mobile app) is an evidence-informed DMHI developed using co-design with people with BD. The app is structured on the core 14 domains from the Quality of Life in BD scale, the only BD-tailored scale, combined with psychoeducation on self-management strategies and QoL. A recent pilot study demonstrated promising QoL, clinical, and feasibility outcomes. Objective: This study aims to culturally and linguistically adapt the PolarUs app into French, Chinese, and Spanish for the North American context using qualitative and co-design methods. Methods: Guided by community-based participatory research principles, whereby end users are engaged throughout the research process, and the Ecological Validity Framework of Bernal et al, we will engage advisory groups of people with lived experience from each linguistic community throughout the cultural adaptation process. Semimonthly virtual meetings will support systematic cultural adaptation of the self-management strategies, affirmations, and resources while maintaining fidelity to core evidence-based components. This will include cultural tailoring of app content and the identification of culturally appropriate resources. Advisory groups will also contribute to the cointerpretation of findings and the co-design of culturally appropriate recruitment and implementation strategies of PolarUs for a future clinical trial. Meetings will be recorded and coanalyzed as research data with advisory groups using qualitative reflexive thematic analysis to capture advisory group perspectives and experiences. Results: This study was funded in October 2024. As of January 31, 2026, we enrolled 7 participants, and the results are expected to be published in the fall of 2026. Conclusions: The findings will support the development of a culturally appropriate DMHI for BD for additional linguistic communities, advance cultural adaptation methodologies, and inform preparation for a future clinical trial. This study will produce the first culturally adapted, BD-specific DMHI developed through co-design using a community-based participatory research approach with multilingual end users from traditionally underserved communities, advancing equitable access, engagement, and scalability of DMHIs for BD and digital health care more broadly.

Indexed as

Bipolar DisorderMobile ApplicationsHumansQualitative ResearchQuality of LifeResearch Designbipolar disorderco-designcultural adaptationdigital mental healthmood disordersquality of life

Identifiers

PMID41950274
PMCPMC13060748

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.