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

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 suppo...

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Main Authors: Sandra Bucci, Xiaolong Zhang, Kaja Dabrowska, Amanda Larkin, Ethel Quayle, Matthias Schwannauer, Filippo Varese, Pauline Whelan
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Internet Interventions
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214782925000594
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author Sandra Bucci
Xiaolong Zhang
Kaja Dabrowska
Amanda Larkin
Ethel Quayle
Matthias Schwannauer
Filippo Varese
Pauline Whelan
author_facet Sandra Bucci
Xiaolong Zhang
Kaja Dabrowska
Amanda Larkin
Ethel Quayle
Matthias Schwannauer
Filippo Varese
Pauline Whelan
author_sort Sandra Bucci
collection DOAJ
description 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.
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spelling doaj-art-325a6270479f4b9aaae87c91bb20d5e42025-08-26T04:14:21ZengElsevierInternet Interventions2214-78292025-09-014110085810.1016/j.invent.2025.100858User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial)Sandra Bucci0Xiaolong Zhang1Kaja Dabrowska2Amanda Larkin3Ethel Quayle4Matthias Schwannauer5Filippo Varese6Pauline Whelan7Division 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; Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom; Corresponding author at: 2nd Floor, Zochonis Building, Brunswick Street, M13 9PL Manchester, United Kingdom.Division 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 KingdomDivision 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 KingdomGreater Manchester Mental Health NHS Foundation Trust, Manchester, United KingdomSchool of Health in Social Science, University of Edinburgh, Edinburgh, United KingdomSchool of Health in Social Science, University of Edinburgh, Edinburgh, United Kingdom; NHS Lothian, Edinburgh, United KingdomDivision 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; Greater Manchester Mental Health NHS Foundation Trust, Manchester, United KingdomDivision 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; Greater Manchester Mental Health NHS Foundation Trust, Manchester, United KingdomBackground: 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.http://www.sciencedirect.com/science/article/pii/S2214782925000594AdolescentMobile applicationsEngagementDigital health intervention
spellingShingle Sandra Bucci
Xiaolong Zhang
Kaja Dabrowska
Amanda Larkin
Ethel Quayle
Matthias Schwannauer
Filippo Varese
Pauline Whelan
User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial)
Internet Interventions
Adolescent
Mobile applications
Engagement
Digital health intervention
title User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial)
title_full User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial)
title_fullStr User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial)
title_full_unstemmed User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial)
title_short User engagement in a digital health intervention designed for young people who have experienced technology-assisted sexual abuse (i-Minds trial)
title_sort user engagement in a digital health intervention designed for young people who have experienced technology assisted sexual abuse i minds trial
topic Adolescent
Mobile applications
Engagement
Digital health intervention
url http://www.sciencedirect.com/science/article/pii/S2214782925000594
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