Evidence map›Paper›PMID 31066705›Full record

ArticleJMIR mental health2019

The Importance of User Segmentation for Designing Digital Therapy for Adolescent Mental Health: Findings From Scoping Processes.

Theresa Fleming, Sally Merry, Karolina Stasiak, Sarah Hopkins, Tony Patolo, Stacey Ruru, Manusiu Latu, Matthew Shepherd, Grant Christie, Felicity Goodyear-Smith

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
9.0field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  8. Design Mapping: A Conceptual Framework for Co-Designing Evidence-Based Digital Mental Health Programs.Health expectations : an international journal of public participation in health care and health policy · 2025
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  9. Observational
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  14. Young People Talk About Digital Support for Mental Health: An Online Survey of 15-30-Year Olds in New Zealand.Health expectations : an international journal of public participation in health care and health policy · 2024
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  15. Review
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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 1 institution in 1 country.

Theresa Fleming *Department of Psychological Medicine, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-5174-9359
Sally MerryDepartment of Psychological Medicine, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-8281-1573
Karolina StasiakDepartment of Psychological Medicine, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-1153-3123
Sarah HopkinsDepartment of Psychological Medicine, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-4705-5362
Tony PatoloDepartment of Psychological Medicine, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-8544-0798
Stacey RuruDepartment of Psychological Medicine, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-3468-3308
Manusiu LatuDepartment of Psychological Medicine, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0001-8728-5296
Matthew ShepherdDepartment of Social Work, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-4238-7541
Grant ChristieDepartment of Psychological Medicine, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-2342-4271
Felicity Goodyear-SmithDepartment of General Practice & Primary Health Care, University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-6657-9401
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew Zealand youth, especially those of Māori and Pacific descent, have high rates of depression, anxiety, and self-harm, but have low rates of help-seeking from mental health professionals. Apps, computerized therapy, and other digital tools can be effective, highly scalable treatments for anxiety and depression. Co-design processes are often used to foster engagement with end users, but this does not always lead to high levels of engagement.

objectiveWe aimed to carry out preliminary scoping to understand adolescents' current internet use and diversity of preferences to inform a planned co-design process for creating digital mental health tools for teenagers.

methodsInteractive workshops and focus groups were held with young people. Data were analyzed using a general inductive approach.

resultsParticipants (N=58) engaged in 2 whānau (extended family) focus groups (n=4 and n=5), 2 school- or community-based focus groups (n=9 each), and 2 workshops (n=11 and n=20). The authors identified 3 overarching themes: (1) Digital mental health tools are unlikely to be successful if they rely solely on youth help-seeking. (2) A single approach is unlikely to appeal to all. Participants had diverse, noncompatible preferences in terms of look or feel of an app or digital tool. The authors identified 4 user groups players or gamers, engagers, sceptics, and straight-talkers. These groups differed by age and degree of current mental health need and preferred gamified or fun approaches, were open to a range of approaches, were generally disinterested, or preferred direct-to-the-point, serious approaches, respectively. (3) Digital mental health tools should provide an immediate response to a range of different issues and challenges that a young person may face.

conclusionsDefining the preferences of different groups of users may be important for increasing engagement with digital therapies even within specific population and mental health-need groups. This study demonstrates the importance of scoping possible user needs to inform design processes.

Indexed as

adolescentcomputerized therapygamificationinternetmental healthmobile apps

Identifiers

PMID31066705
PMCPMC6707580
OpenAlexW2944210638

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.