Evidence map›Paper›PMID 30135839›Full record

ArticleInternet interventions2017

A next-generation social media-based relapse prevention intervention for youth depression: Qualitative data on user experience outcomes for social networking, safety, and clinical benefit.

Olga Santesteban-Echarri, Simon Rice, Greg Wadley, Reeva Lederman, Simon D'Alfonso, Penni Russon, Richard Chambers, Christopher J Miles, Tamsyn Gilbertson, John F Gleeson and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Internet interventions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 5 pooled it
2.8field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 5 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

12 authors at 5 institutions in 2 countries.

Olga Santesteban-EcharriOrygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Simon RiceOrygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Greg WadleySchool of Computing and Information Systems, The University of Melbourne, Melbourne, Australia.
Reeva LedermanSchool of Computing and Information Systems, The University of Melbourne, Melbourne, Australia.
Simon D'AlfonsoOrygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Penni RussonOrygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Richard ChambersCampus Community Division, Monash University, Melbourne, Victoria, Australia.
Christopher J MilesOrygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Tamsyn GilbertsonOrygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
John F GleesonSchool of Psychology, Australian Catholic University, Melbourne, Australia.
Patrick D McGorryOrygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Mario Álvarez-JiménezOrygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Orygen Youth Health · AUUniversity of Melbourne · AUAustralian Catholic University · AUMonash University · AUUniversidad Rovira i Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) has a high prevalence and relapse rate among young people. For many individuals depression exhibits a severe course, and it is therefore critical to invest in innovative online interventions for depression that are cost-effective, acceptable and feasible. At present, there is a scarcity of research reporting on qualitative data regarding the subjective user experience of young people using social networking-based interventions for depression. This study provides in-depth qualitative insights generated from 38 semi-structured interviews, and a follow-up focus group, with young people (15-25 years) after the implementation of a moderated online social therapy intervention for depression relapse prevention ("Rebound"). Exploratory analysis identified patterns of content from interview data related to three main themes: 1) preferred content compared to perceived helpfulness of the online platform, 2) interest in social networking, and 3) protective environment. Two clear groups emerged; those who perceived the social networking component of the intervention as the most helpful component; and those who preferred to engage in therapy content, receiving individualized content suggested by moderators. The Rebound intervention was shown to be acceptable for young people with major depression. Integration of social networking features appears to enhance intervention engagement for some young people recovering from depression.

Indexed as

DepressionInternetQualitative analysesSafetySocial networkingYoung people

Identifiers

PMID30135839
PMCPMC6096236
OpenAlexW2734021185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.