Evidence map›Paper›PMID 41662053›Full record

ArticlePLOS mental health2025

Community-based digital mental health interventions for traumatic brain injury patients: A scoping review.

Brandon G Smith, Laura Hobbs, Tom Edmiston, Orla Mantle, Sara Venturini, Shobhana Nagraj, Charlotte J Whiffin, Peter J Hutchinson, Tom Bashford

Abstract read
In one paragraph

Article in PLOS mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Brandon G SmithInternational Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-8471-1368
Laura HobbsInternational Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-0995-2943
Tom EdmistonInternational Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0009-0006-9071-0568
Orla MantleInternational Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-6408-435X
Sara VenturiniNIHR Global Health Research Group on Acquired Brain and Spine Injury, University of Cambridge, Cambridge, United Kingdom.
Shobhana NagrajInternational Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.
Charlotte J WhiffinInternational Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.
Peter J HutchinsonNIHR Global Health Research Group on Acquired Brain and Spine Injury, University of Cambridge, Cambridge, United Kingdom.
Tom BashfordInternational Health Systems Group, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-0228-9779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a leading cause of long-term disability, often accompanied by mental health issues such as depression and anxiety. Digital mental health interventions (DMHIs) present promising opportunities for improving the management of these issues, offering solutions such as remote monitoring and outcome tracking through ecological momentary assessment. This scoping review aims to explore the current landscape of DMHIs and the use of patient-reported outcome measures (PROMs) in post-TBI populations. A systematic search across six databases identified 23 relevant studies, predominantly from high-income countries. Almost half of retrieved studies focused on mild TBI populations, with limited evidence reporting DMHI use exclusively in moderate or severe cases. The findings highlight the benefits of DMHIs, including real-time data collection, enhanced patient engagement, and the potential to improve care accessibility. However, challenges such as technology literacy, low response rates, and inconsistent measures of clinical efficacy were noted. Most interventions utilised asynchronous methods of communication, such as smartphone applications and SMS, with PROMs used to track emotional, behavioural, and psychological outcomes. A number of gaps were identified, including the need for more research in moderate and severe TBI cases, better integration into existing healthcare infrastructure, and standardisation of outcome measures. This review underscores the potential of DMHIs to enhance mental health care in TBI patients, while calling for more robust, user-centred designs and longer-term studies to ensure sustainability and effectiveness. Further, this review advocates for more interdisciplinary collaboration in the design and deployment of DMHIs, and the application of a systems-based approach to better integrate digital mental health technologies into TBI care pathways, with full consideration of people, systems, design, and risk. Future research should address these gaps to optimise post-injury care and outcomes for TBI patients when digital mental health solutions are implemented.

Identifiers

PMID41662053
PMCPMC12798249

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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 OpenQuestion graph.