Evidence map›Paper›PMID 37213197›Full record

ArticleJMIR mental health2023

Understanding What Drives Long-term Engagement in Digital Mental Health Interventions: Secondary Causal Analysis of the Relationship Between Social Networking and Therapy Engagement.

Shaunagh O'Sullivan, Niels van Berkel, Vassilis Kostakos, Lianne Schmaal, Simon D'Alfonso, Lee Valentine, Sarah Bendall, Barnaby Nelson, John F Gleeson, Mario Alvarez-Jimenez

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  3. Review
  4. 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

10 authors at 3 institutions in 2 countries.

Shaunagh O'SullivanCentre for Youth Mental Health, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-5234-5727
Niels van BerkelDepartment of Computer Science, Aalborg University, Aalborg, Denmark.ORCID https://orcid.org/0000-0001-5106-7692
Vassilis KostakosSchool of Computing and Information Systems, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-2804-6038
Lianne SchmaalCentre for Youth Mental Health, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9822-048X
Simon D'AlfonsoSchool of Computing and Information Systems, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-7407-8730
Lee ValentineCentre for Youth Mental Health, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-7481-6537
Sarah BendallCentre for Youth Mental Health, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-1486-6190
Barnaby NelsonCentre for Youth Mental Health, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-6263-2332
John F GleesonHealthy Brain and Mind Research Centre, Australian Catholic University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-7969-492X
Mario Alvarez-JimenezCentre for Youth Mental Health, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-3535-9086
The University of Melbourne · AUAalborg University · DKAustralian Catholic University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow engagement rates with digital mental health interventions are a major challenge in the field. Multicomponent digital interventions aim to improve engagement by adding components such as social networks. Although social networks may be engaging, they may not be sufficient to improve clinical outcomes or lead users to engage with key therapeutic components. Therefore, we need to understand what components drive engagement with digital mental health interventions overall and what drives engagement with key therapeutic components.

objectiveHoryzons was an 18-month digital mental health intervention for young people recovering from first-episode psychosis, incorporating therapeutic content and a private social network. However, it is unclear whether use of the social network leads to subsequent use of therapeutic content or vice versa. This study aimed to determine the causal relationship between the social networking and therapeutic components of Horyzons.

methodsParticipants comprised 82 young people (16-27 years) recovering from first-episode psychosis. Multiple convergent cross mapping was used to test causality, as a secondary analysis of the Horyzons intervention. Multiple convergent cross mapping tested the direction of the relationship between each pair of social and therapeutic system usage variables on Horyzons, using longitudinal usage data.

resultsResults indicated that the social networking aspects of Horyzons were most engaging. Posting on the social network drove engagement with all therapeutic components (r=0.06-0.36). Reacting to social network posts drove engagement with all therapeutic components (r=0.39-0.65). Commenting on social network posts drove engagement with most therapeutic components (r=0.11-0.18). Liking social network posts drove engagement with most therapeutic components (r=0.09-0.17). However, starting a therapy pathway led to commenting on social network posts (r=0.05) and liking social network posts (r=0.06), and completing a therapy action led to commenting on social network posts (r=0.14) and liking social network posts (r=0.15).

conclusionsThe online social network was a key driver of long-term engagement with the Horyzons intervention and fostered engagement with key therapeutic components and ingredients of the intervention. Online social networks can be further leveraged to engage young people with therapeutic content to ensure treatment effects are maintained and to create virtuous cycles between all intervention components to maintain engagement.

trial registrationAustralian New Zealand Clinical Trials Registry: ACTRN12614000009617; https://www.australianclinicaltrials.gov.au/anzctr/trial/ACTRN12614000009617.

Indexed as

digital healthdigital interventionlog datapsychotic disorderssocial networkingusage metricsyouth mental health

Identifiers

PMID37213197
PMCPMC10242471
OpenAlexW4361975479

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.