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Record W4390974207 · doi:10.2196/48945

Designing a Web-Based Navigation Tool to Support Access to Youth Mental Health Services: Qualitative Study

2024· article· en· W4390974207 on OpenAlexvenueno aff
Alison L. Calear, Philip J. Batterham, Sonia McCallum, Michelle Banfield, Elizabeth Moore, Natalie Johnson, Alyssa R. Morse

Bibliographic record

VenueJMIR Formative Research · 2024
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsnot available
FundersMedical Research CouncilNational Health and Medical Research CouncilSuicide Prevention Australia
KeywordsFocus groupMental healthThematic analysisQualitative researchPsychologyApplied psychologyMedical educationMedicinePsychiatrySociology

Abstract

fetched live from OpenAlex

BACKGROUND: Many young people with mental health problems do not readily seek help or receive treatment and support. One way to address low help-seeking behavior is to improve access to information on mental health services and how to navigate the mental health system via a web-based tool. Seeking input from the end users (young people and parents or caregivers) on key features of the tool is imperative to ensure that it is relevant, engaging, and likely to meet their needs and expectations. OBJECTIVE: This study aims to investigate young person and parent or caregiver views on the design, content, functioning, and user experience of a web-based mental health navigation tool to support connection to mental health services for children and young people aged up to 25 years. METHODS: A total of 4 online focus groups were conducted: 2 with young people aged 16 years and older (total n=15) and 2 with parents or caregivers (total n=13). Focus groups were structured around a series of guiding questions to explore participants' views on content, features, user experience, and design of a mental health navigation website. Focus groups were audio recorded with detailed notes taken. In addition, 53 young people aged 16-25 years and 97 parents or caregivers completed an online survey, comprising closed- and open-ended questions; open-ended responses were included with the focus group data in the qualitative analysis. All qualitative data were analyzed using thematic analysis. RESULTS: A total of 2 topic areas and 7 themes were developed. The first topic area covered the types of information needs of young people and parents. Identified themes concerned the scope of the navigation website, as well as the provision of up-to-date and practical information on how to navigate the whole help-seeking process. The second topic area covered website features that would be beneficial and included the consideration of the website design; search engines; supported navigation; and forums, reviews, and user accounts. CONCLUSIONS: This study provides important insights into the navigation needs of young people and parents or caregivers in seeking mental health services. Key findings identified through this research have directly informed the development of MindMap, a web-based youth navigation tool providing a searchable database of local services, including a clear description, their location, and potential wait times. The website can be navigated independently or with support.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.004
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.230
GPT teacher head0.604
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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