Evidence map›Paper›PMID 34730536›Full record

ArticleJMIR rehabilitation and assistive technologies2021

An Immersive and Interactive Platform for Cognitive Assessment and Rehabilitation (bWell): Design and Iterative Development Process.

Vincent Gagnon Shaigetz, Catherine Proulx, Anne Cabral, Nusrat Choudhury, Mark Hewko, Elicia Kohlenberg, Melanie Segado, Michael S D Smith, Patricia Debergue

Registry-linked trialAbstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06546917 (The bWell Cognitive Care Platform), which is not on this map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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.

NCT06546917 narecruitingnot on this mapstarted 2025, after this paper: background citation

The bWell Cognitive Care Platform: A Pilot Feasibility Study in Patients With Depression

TypeinterventionalSponsorUniversity of British ColumbiaRan2025 to 2026Enrolled40ConditionsDepressive Disorder, Major, Cognitive DysfunctionArmsbWell Cognitive Remediation, VR Experience
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

9 authors.

Vincent Gagnon Shaigetz *Simulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Boucherville, QC, Canada.ORCID https://orcid.org/0000-0002-8038-6366
Catherine Proulx *Simulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Boucherville, QC, Canada.ORCID https://orcid.org/0000-0002-1776-2082
Anne Cabral *Simulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Boucherville, QC, Canada.ORCID https://orcid.org/0000-0001-6453-8465
Nusrat ChoudhurySimulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Boucherville, QC, Canada.ORCID https://orcid.org/0000-0003-3364-8594
Mark HewkoSimulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Winnipeg, MB, Canada.ORCID https://orcid.org/0000-0002-2039-2289
Elicia KohlenbergSimulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Winnipeg, MB, Canada.ORCID https://orcid.org/0000-0001-8546-5007
Melanie SegadoSimulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Boucherville, QC, Canada.ORCID https://orcid.org/0000-0001-7862-6749
Michael S D SmithSimulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Winnipeg, MB, Canada.ORCID https://orcid.org/0000-0002-1952-3616
Patricia DebergueSimulation and Digital Health, Medical Devices Research Centre, National Research Council Canada, Boucherville, QC, Canada.ORCID https://orcid.org/0000-0002-6129-7149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmersive technologies like virtual reality can enable clinical care that meaningfully aligns with real-world deficits in cognitive functioning. However, options in immersive 3D environments are limited, partly because of the unique challenges presented by the development of a clinical care platform. These challenges include selecting clinically relevant features, enabling tasks that capture the full breadth of deficits, ensuring longevity in a rapidly changing technology landscape, and performing the extensive technical and clinical validation required for digital interventions. Complicating development, is the need to integrate recommendations from domain experts at all stages.

objectiveThe Cognitive Health Technologies team at the National Research Council Canada aims to overcome these challenges with an iterative process for the development of bWell, a cognitive care platform providing multisensory cognitive tasks for adoption by treatment providers.

methodsThe team harnessed the affordances of immersive technologies while taking an interdisciplinary research and developmental approach, obtaining active input from domain experts with iterative deliveries of the platform. The process made use of technology readiness levels, agile software development, and human-centered design to advance four main activities: identification of basic requirements and key differentiators, prototype design and foundational research to implement components, testing and validation in lab settings, and recruitment of external clinical partners.

resultsbWell was implemented according to the findings from the design process. The main features of bWell include multimodal (fully, semi, or nonimmersive) and multiplatform (extended reality, mobile, and PC) implementation, configurable exercises that pair standardized assessment with adaptive and gamified variants for therapy, a therapist-facing user interface for task administration and dosing, and automated activity data logging. bWell has been designed to serve as a broadly applicable toolkit, targeting general aspects of cognition that are commonly impacted across many disorders, rather than focusing on 1 disorder or a specific cognitive domain. It comprises 8 exercises targeting different domains: states of attention (Egg), visual working memory (Theater), relaxation (Tent), inhibition and cognitive control (Mole), multitasking (Lab), self-regulation (Butterfly), sustained attention (Stroll), and visual search (Cloud). The prototype was tested and validated with healthy adults in a laboratory environment. In addition, a cognitive care network (5 sites across Canada and 1 in Japan) was established, enabling access to domain expertise and providing iterative input throughout the development process.

conclusionsImplementing an interdisciplinary and iterative approach considering technology maturity brought important considerations for the development of bWell. Altogether, this harnesses the affordances of immersive technology and design for a broad range of applications, and for use in both cognitive assessment and rehabilitation. The technology has attained a maturity level of prototype implementation with preliminary validation carried out in laboratory settings, with next steps to perform the validation required for its eventual adoption as a clinical tool.

Indexed as

clinical psychologycognitive assessmentcognitive rehabilitationcognitive trainingdigital therapeuticsmental healthmobile phoneneuropsychologyvirtual reality

Identifiers

PMID34730536
PMCPMC8600432

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 OpenQuestion graph.