Evidence map›Paper›PMID 40823649›Full record

ArticleInternet interventions2025

Do people residing in low socioeconomic areas engage with and benefit from digital mental health services?

Lauren G Staples, Blake F Dear, Olav Nielssen, Nickolai Titov

Abstract read
In one paragraph

Article in Internet interventions, 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

4 authors.

Lauren G StaplesMindSpot Clinic, Macquarie University, Sydney, Australia.
Blake F DearMindSpot Clinic, Macquarie University, Sydney, Australia.
Olav NielssenMindSpot Clinic, Macquarie University, Sydney, Australia.
Nickolai TitovMindSpot Clinic, Macquarie University, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: People who are socioeconomically disadvantaged have higher rates of mental disorder and are more likely to face barriers to evidence-based psychological services. Barriers include the cost of treatment, limited availability of local services, and the burden of psychosocial difficulties. Psychological treatment delivered via the internet can overcome some of these barriers. Methods: This study was a retrospective analysis of data collected from 21,561 patients accessing online psychological assessment and treatment. Residential postcodes were used to assign patients to a socioeconomic group (low, mid, or high SES), based on the Index of Economic Resources published by the Australian Bureau of Statistics. Results: The low SES group comprised 34.1 % of the sample and the mid SES group comprised 35.7 %. A perceived lack of local or affordable mental health services was the main reason given for accessing online mental health assessment and treatment. There were small but significant demographic differences between groups at assessment, and baseline symptoms of depression and anxiety were slightly higher for the low and mid SES groups. Despite these differences, there were no group differences in treatment outcomes. All groups showed large symptom reductions on measures of depression (PHQ-9) and anxiety (GAD-7), with Cohen's d effect sizes between 1.36 and 1.47. Reliable deterioration rates were low, and satisfaction rates were high. Conclusion: This study shows that people residing in low socioeconomic areas engage with and benefit from digital mental health services. Results suggest that scalable digital psychological services can improve the equity of access to mental health care.

Indexed as

Barriers to careDigital mental healthE-mental healthService useSocioeconomic statusTreatment outcome

Identifiers

PMID40823649
PMCPMC12357260

What OpenQuestion holds

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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 OpenQuestion graph.