Evidence map›Paper›PMID 40687199›Full record

ArticleInternet interventions2025

User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial).

Sandra Bucci, Xiaolong Zhang, Kaja Dabrowska, Amanda Larkin, Ethel Quayle, Matthias Schwannauer, Filippo Varese, Pauline Whelan

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. Trial
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

8 authors.

Sandra BucciDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biological, Medical and Health Sciences, Manchester Academic Health Science, University of Manchester, Manchester, United Kingdom.
Xiaolong ZhangDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biological, Medical and Health Sciences, Manchester Academic Health Science, University of Manchester, Manchester, United Kingdom.
Kaja DabrowskaDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biological, Medical and Health Sciences, Manchester Academic Health Science, University of Manchester, Manchester, United Kingdom.
Amanda LarkinGreater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom.
Ethel QuayleSchool of Health in Social Science, University of Edinburgh, Edinburgh, United Kingdom.
Matthias SchwannauerSchool of Health in Social Science, University of Edinburgh, Edinburgh, United Kingdom.
Filippo VareseDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biological, Medical and Health Sciences, Manchester Academic Health Science, University of Manchester, Manchester, United Kingdom.
Pauline WhelanDivision of Psychology and Mental Health, School of Health Sciences, Faculty of Biological, Medical and Health Sciences, Manchester Academic Health Science, University of Manchester, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Technology-assisted sexual abuse (TASA) mostly involves the production and non-consensual sharing of sexual images; however, evidence-based support for young people (YP) who have experienced TASA is scant. Digital Health Interventions (DHIs) have the potential to increase access to support and provide timely therapeutic input in a familiar format to YP. However, studies describing engagement with DHIs is nascent. Our objective is to describe engagement patterns for YP people who used the i-Minds app. Methods: The i-Minds app is a co-designed mentalisation-based DHI for YP who have experienced TASA. Usage data was collected during the 6-week intervention window using Matomo analytics software and analysed according to the AMUsED framework. Results: Forty-one participants were onboarded to the app. Of these, 95 % completed the introductory mandatory module, and nearly half completed the remaining three modules. Median duration of app engagement was 33 days. Most participants used the app on weekdays in the afternoon. Demographic variables, namely gender not matching with sex assigned at birth/prefer not to disclose and higher baseline clinical severity were associated with higher app engagement. Conclusions: Participants showed high module completeness and engagement duration, suggesting the potential for real-world use. Potential participant-level predictors of engagement, such as gender identity and severity of TASA related traumatic stress and emotional distress, were identified. Achieving satisfactory engagement in DHIs is challenging yet necessary for delivering effective interventions. Future studies should explore participant-level predictors of engagement to inform real-world use of DHIs with a diverse sample.

Indexed as

AdolescentDigital health interventionEngagementMobile applications

Identifiers

PMID40687199
PMCPMC12274295

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.