Tablet-based cognitive self-assessment: English translation of Cog-First app

Purpose Acquired brain injuries (ABI) frequently lead to cognitive impairments, which can be challenging to detect and persist for years, negatively impacting patient outcomes. Timely and specific screening is crucial for proper management. Cog-First is a tablet-based self-assessment of executive functions, memory, and attention lasting approximately 20 min. This study aimed to develop the English version of Cog-First and evaluate its feasibility.Materials and methods A two-phase study was conducted. Phase 1 involved a rigorous translation and cultural adaptation process, following established guidelines. Phase 2 consisted of an exploratory comparison between MoCA and Cog-First scores in individuals with ABI.Results The English version of Cog-First was developed. Practitioners highly rated the relevance and applicability. Strong agreement (90%) was observed for memory, attention and inhibition sub-tests. About 90% of ABI participants expressed a high level of satisfaction. Exploratory analyses showed an association between MoCA and Cog-First scores (p = 0.037, r = .46).Conclusion This study successfully translated and culturally adapted Cog-First into English and demonstrated its feasibility and acceptability in English-speaking individuals with ABI. While further research is required to explore its psychometric properties, normative values and clinical utility comprehensively, Cog-First might enhance the detection of subtle cognitive deficits and inform targeted rehabilitation strategies.

Authors

Institutions

Publication Details

Journal
Brain Injury
Published
2026-07-23
DOI
https://doi.org/10.1080/02699052.2026.2704930
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tablet-based cognitive self-assessment: English translation of Cog-First app

Camille Heslot, Valentine Facque, Emmanuel Mandonnet, Franck Tarpin-Bernard et al.
Brain Injury
Traumatic Brain Injury Research
article

Tablet-based cognitive self-assessment: English translation of Cog-First app

Camille Heslot, Valentine Facque, Emmanuel Mandonnet, Franck Tarpin-Bernard, Alexis Schnitzler, Rajiv Reebye, Eshaa Nathoo, Jennifer Yao
article en

Abstract

Purpose Acquired brain injuries (ABI) frequently lead to cognitive impairments, which can be challenging to detect and persist for years, negatively impacting patient outcomes. Timely and specific screening is crucial for proper management. Cog-First is a tablet-based self-assessment of executive functions, memory, and attention lasting approximately 20 min. This study aimed to develop the English version of Cog-First and evaluate its feasibility.Materials and methods A two-phase study was conducted. Phase 1 involved a rigorous translation and cultural adaptation process, following established guidelines. Phase 2 consisted of an exploratory comparison between MoCA and Cog-First scores in individuals with ABI.Results The English version of Cog-First was developed. Practitioners highly rated the relevance and applicability. Strong agreement (90%) was observed for memory, attention and inhibition sub-tests. About 90% of ABI participants expressed a high level of satisfaction. Exploratory analyses showed an association between MoCA and Cog-First scores (p = 0.037, r = .46).Conclusion This study successfully translated and culturally adapted Cog-First into English and demonstrated its feasibility and acceptability in English-speaking individuals with ABI. While further research is required to explore its psychometric properties, normative values and clinical utility comprehensively, Cog-First might enhance the detection of subtle cognitive deficits and inform targeted rehabilitation strategies.

Brain Injury
University of British Columbia (CA), Inserm (FR), Université Paris Cité (FR), Canadian Armed Forces (CA), Hôpital Lariboisière (FR)
Quality Education
Openalex Percentile: Top 9%
Traumatic Brain Injury Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.