Evidence map›Paper›PMID 40194267›Full record

SynthesisJournal of medical Internet research2025

Exploring Engagement With and Effectiveness of Digital Mental Health Interventions in Young People of Different Ethnicities: Systematic Review.

Rinad Bakhti, Harmani Daler, Hephzibah Ogunro, Steven Hope, Dougal Hargreaves, Dasha Nicholls

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
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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

6 authors.

Rinad Bakhti *Department of Brain Sciences, Division of Psychiatry, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0009-0003-7824-2181
Harmani Daler *University of Lancaster, Lancaster, United Kingdom.ORCID https://orcid.org/0000-0002-4216-8237
Hephzibah OgunroImperial College Healthcare NHS Trust, London, United Kingdom.ORCID https://orcid.org/0009-0002-1425-8435
Steven HopeSchool of Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6759-6927
Dougal HargreavesSchool of Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-0722-9847
Dasha NichollsDepartment of Brain Sciences, Division of Psychiatry, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7257-6605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of mental health difficulties among young people has risen in recent years, with 75% of mental disorders emerging before the age of 24 years. The identification and treatment of mental health issues earlier in life improves later-life outcomes. The COVID-19 pandemic spurred the growth of digital mental health interventions (DMHIs), which offer accessible support. However, young people of different ethnicities face barriers to DMHIs, such as socioeconomic disadvantage and cultural stigma.

objectiveThis review aimed to summarize and evaluate the engagement with and effectiveness of DMHIs among young people of different ethnicities.

methodsA systematic search was conducted in MEDLINE, Embase, and PsycINFO for studies published between January 2019 and May 2024, with an update in September 2024. The inclusion criteria were participants aged <25 years using DMHIs from various ethnic backgrounds. Three reviewers independently screened and selected the studies. Data on engagement (eg, use and uptake) and effectiveness (eg, clinical outcomes and symptom improvement) were extracted and synthesized to compare findings. Studies were assessed for quality using the Mixed Methods Appraisal Tool.

resultsThe final search yielded 67 studies, of which 7 (10%) met inclusion criteria. There were 1853 participants across the 7 studies, all from high-income countries. Participants were predominantly aged 12 to 25 years, with representation of diverse ethnic identities, including Black, Asian, Hispanic, mixed race, and Aboriginal individuals. Engagement outcomes varied, with culturally relatable, low-cost interventions showing higher retention and user satisfaction. Linguistic barriers and country of origin impeded the effectiveness of some interventions, while near-peer mentorship, coproduction, and tailored content improved the effectiveness of DMHIs. While initial results are promising, small sample sizes, heterogeneity in outcome assessments, and a paucity of longitudinal data impeded robust comparisons and generalizability.

conclusionsDMHIs show potential as engaging and effective mental health promotional tools for young people of different ethnicities, especially when coproduced and culturally relatable. Initial data suggest that interventions facilitating near-peer mentoring, linguistic adaptation, low cost, and cultural relatability have improved engagement and effectiveness. Future research should focus on developing a consensus definition of DMHIs, exploring DMHIs in children aged <12 years, and conducting detailed qualitative and quantitative research on use factors and treatment efficacy of DMHIs for young people of different ethnicities.

trial registrationPROSPERO CRD42024544364; https://tinyurl.com/yk5jt8yk.

Indexed as

EthnicityMental DisordersMental HealthMental Health ServicesAdolescentCOVID-19HumansTelemedicineYoung AdultAIartificial intelligencedigital mental health interventionseffectivenessengagementethnicityyoung people

Identifiers

PMID40194267
PMCPMC12012393

What OpenQuestion holds

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Registered trials

None linked

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.