Scale Qualitative Analysis of Youth Digital Mental Health

Evidano is an AI-powered qualitative data analysis platform that helps reproduce and extend the Nov 2018–Feb 2023 scoping review by ingesting cited studies, running AI-assisted coding, and producing segment-aware frequency and co-occurrence outputs.

Use the review's thematic scaffold to prioritize co-occurrence analysis and subgroup comparisons (age, parental mediation, digital literacy) and to produce stakeholder-ready visuals and exportable quote banks quickly.

• Review window and source: the scoping review covers November 2018–February 2023 and was published 20 July 2026, giving a stable set of recent studies for thematic synthesis.
• Core themes identified: sociodemographic risk factors, usage patterns, psychosocial consequences (depression, anxiety, loneliness, sleep), parental mediation, and digital literacy.
• Operational path: follow a compact 10-step, two-week runbook to ingest documents, run transcription/translation and PII redaction, AI-assisted coding, generate frequency and co-occurrence outputs, and extract quotes for stakeholders.
• Practical priority: focus on co-occurrence networks and cross-segment comparisons to move from repeating themes to actionable, segment-aware recommendations.

The scoping review (published 20 July 2026) examined studies indexed in the Web of Science Core Collection between November 2018 and February 2023 to map how digital technology relates to youth mental health.

• Core themes: sociodemographic risk factors, usage intensity and patterns, psychosocial consequences (depression, anxiety, loneliness, sleep), family or parental mediation, and digital literacy.
• Evidence mix: cross-sectional surveys, qualitative interviews, mixed-methods papers and meta-analyses across multiple countries.
• Why it matters: consistent theme clusters make this topic ideal for reproducible qualitative synthesis and cross-segment comparisons.

The scoping review identifies repeating patterns that are best explored with a mixed qualitative approach: theme frequency, contextual quotes, and segment comparisons (age, gender, region, parental mediation).

• Map how usage patterns co-occur with reported harms (sleep disruption, anxiety) using co-occurrence networks rather than single-theme counts.
• Disaggregate findings by sociodemographic subgroups to reveal different risk profiles (for example, low digital literacy plus high use produces different outcomes).
• Combine interview quotes and survey free-text to triangulate drivers such as social comparison, FOMO, and self-presentation.

The two-week pilot is a compact 10-step runbook to move from the review's source list to actionable insights.

• Day 1: Collect the review's cited PDFs, interviews and survey files; create a project in Evidano.
• Day 2: Run transcription (if audio) and translation plus PII redaction.
• Day 3: Import an initial codebook (themes from the review) or let Evidano propose themes.
• Day 4–5: AI-assisted coding pass plus manual QA on a 10% sample.
• Day 6: Generate frequency tables and co-occurrence networks; identify top 5 cross-segment differences.
• Day 7–9: Extract representative quotes and build a stakeholder slide deck.
• Day 10: Run targeted AI-avatar interviews or follow-up surveys to fill gaps (optional).
• Deliverable: one reproducible analytics pack (codes, visuals, exportable quote bank) and an evidence memo for decision-makers.

The Nov 2018–Feb 2023 scoping review gives a clear thematic scaffold; use it to build reproducible, segment-aware qualitative syntheses.

• Try Evidano for free to run a one-project pilot that ingests the review’s corpus and generates thematic and cross-segment outputs.
• Immediate takeaway: prioritize co-occurrence analysis and subgroup comparisons (age, parental mediation, digital literacy) to turn repeating patterns into decisions.

Ready for a hands-on demo? Start a secure pilot on Try Evidano for free and convert lists of studies and transcripts into stakeholder-ready insights.