Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to Deivanayagam et al. in PLoS One (published August 13, 2026), adolescents are increasingly involved in initiatives that counter the fossil fuel industry and those initiatives need theory-driven qualitative analysis to explain how they work. According to Deivanayagam et al. in PLoS One (published August 13, 2026), the study protocol sets out a realist review to identify interventions involving 10–19-year-olds, test context–mechanism–outcome configurations, and apply a structural racism lens. This post explains how qualitative methods map to the protocol in Deivanayagam et al. in PLoS One (published August 13, 2026), and how AI-enabled tools can speed synthesis, translation, coding, and stakeholder engagement while preserving rigor.
Key Takeaways
According to Deivanayagam et al. in PLOS ONE (published August 13, 2026), this realist review protocol aims to explain how interventions involving adolescents can counter fossil fuel industry practices and reduce health inequities.
- Deivanayagam et al. in PLoS One (published August 13, 2026) state that an estimated 2.5 million deaths annually are due to outdoor air pollution from burning fossil fuels, citing the Lancet Countdown (2025).
- Deivanayagam et al. in PLoS One (published August 13, 2026) report that 67% of greenhouse gases are attributable to fossil fuel combustion, framing the scale of the exposure pathways to study.
- Deivanayagam et al. in PLoS One (published August 13, 2026) registered the review with PROSPERO (ID 1267252) and planned evidence searches to be completed by April 2026, with results expected in July 2026.
- Deivanayagam et al. in PLoS One (published August 13, 2026) emphasise a structural racism lens and participatory input from a six-member Youth Advisory Board to drive programme-theory development.
What happened and how the realist review works
This protocol defines a realist review to explain how youth-led or youth-involving interventions counter fossil fuel industry practices, according to Deivanayagam et al. in PLoS One (published August 13, 2026).
According to Deivanayagam et al. in PLoS One (published August 13, 2026), the review uses the Context–Mechanism–Outcome (CMO) framework to generate and refine programme theories across five realist stages: scope definition, building initial programme theory, systematic searching, selection and appraisal, and extraction and synthesis.
According to Deivanayagam et al. in PLoS One (published August 13, 2026), the team combines academic database searches (PubMed, Scopus, GEOBASE), grey literature searches, citation chasing, and advisory input, with non-English documents translated using Google Translate.
According to Deivanayagam et al. in PLoS One (published August 13, 2026), the protocol explicitly applies a structural racism lens and prioritises interventions that show meaningful adolescent participation aligned to Hart's ladder (Rung 5+).
A short quoted definition from the protocol captures the scope: "the fossil fuel industry’s practices and products create wide‑ranging harms to human health, " according to Deivanayagam et al. in PLoS One (published August 13, 2026).
The protocol further defines corporate political activity as "practices to secure preferential treatment and/or prevent, shape, circumvent or undermine public policies, " according to Deivanayagam et al. in PLoS One (published August 13, 2026).
Findings snapshot
| Date / Source | Metric | Value | Implication for qualitative analysis |
|---|---|---|---|
| Lancet Countdown (cited in PLoS One, 2026) | Annual deaths from outdoor air pollution | 2.5 million deaths per year | Prioritise narratives about exposure and lived experience in affected communities |
| PLoS One protocol (published August 13, 2026) | Share of greenhouse gases from fossil fuels | 67% of GHGs attributable to fossil fuel combustion | Map causal chains from industrial practices to health outcomes in interviews |
| Global health advocacy (noted in PLoS One, 2026) | Health organisations calling for phase-out | 192 organisations called for a treaty in 2022 | Use document analysis to trace advocacy frames and coalition building |
| Health workforce mobilisation (cited in PLoS One, 2026) | Health worker sign-on | 46.3 million health workers represented in a 2023 open letter | Analyse cross-sector alliances and policy leverage in mechanisms |
| Protocol timeline (PLoS One, 2026) | Study start and planned completion | Start Oct 2024; evidence searches complete Apr 2026; results expected Jul 2026; end Apr 2027 | Plan phased coding and iterative theory refinement aligned to these milestones |
Implications for public health researchers and evaluators
Researchers should prioritise causal explanation over binary effectiveness claims, according to Deivanayagam et al. in PLoS One (published August 13, 2026).
According to Deivanayagam et al. in PLoS One (published August 13, 2026), realist CMO configurations help to specify when adolescent participation triggers mechanisms such as empowerment, agenda setting, or narrative disruption, and when contextual barriers like structural racism block those mechanisms.
According to Deivanayagam et al. in PLoS One (published August 13, 2026), inclusion of grey literature, movement documents, and advisory-board knowledge is essential because many youth-led strategies are evaluated informally or documented outside peer-reviewed journals.
According to Deivanayagam et al. in PLoS One (published August 13, 2026), analytic teams should explicitly code for equity markers (race, class, disability) and participation level (Hart's ladder) to surface differential effects across subgroups.
How Evidano helps: mapping qualitative tasks to AI-augmented features
Problem: Diverse, multilingual documents slow synthesis
Solution: Evidano provides automated ingestion and translation for documents, which reduces manual overhead and preserves phrases for qualitative coding.
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents, and its translation features mirror the protocol's need to include non-English literature.
Problem: Large, messy text sets make CMO identification tedious
Solution: Evidano's thematic coding, co-occurrence networks, and hierarchical code→subcode visualisations accelerate development and testing of CMO configurations.
Use Evidano's features page to align platform workflows with the realist review stages described in Deivanayagam et al. in PLoS One (published August 13, 2026).
Problem: Transcripts, advisory notes, and grey reports need consistent transcription and PII controls
Solution: Evidano's speech-to-text and PII redaction reduce risk while producing reliable transcripts for thematic and retroductive analysis.
Evidano's secure, audit-ready workspace supports multi-reviewer coding and transparent iteration that aligns with RAMESES standards cited in Deivanayagam et al. in PLoS One (published August 13, 2026).
Problem: Stakeholder workshops require rapid iteration of programme theories
Solution: Evidano's AI chat over documents enables synthesis briefs and extractable quotes for youth advisory boards and expert steering groups, supporting the consensus-building steps in the protocol.
For teams preparing mixed evidence and visual summaries as described by Deivanayagam et al. in PLoS One (published August 13, 2026), Evidano speeds validation cycles with advisors.
FAQ: qualitative analysis of youth climate interventions
What is a realist review and why use it for youth climate interventions?
Answer: A realist review explains how, why, and for whom interventions work by linking contexts, mechanisms, and outcomes, according to Deivanayagam et al. in PLoS One (published August 13, 2026).
Supporting detail: The protocol follows RAMESES standards and emphasises generative causation to build transferable programme theories rather than only measuring average effect sizes.
How can qualitative analysis uncover mechanisms in youth-led interventions?
Answer: Qualitative coding of narratives, meeting notes, and grey reports reveals mechanisms such as empowerment, framing shifts, and alliance-building, according to Deivanayagam et al. in PLoS One (published August 13, 2026).
Supporting detail: The protocol recommends extracting contextual detail (geography, policy environment, participation level) and linking it to claimed mechanisms to test causal explanations.
Can AI tools be used safely in realist qualitative synthesis?
Answer: Yes, AI tools can accelerate transcription, translation, and thematic coding if researchers maintain protocolised human oversight and transparency, as implied by the methods in Deivanayagam et al. in PLoS One (published August 13, 2026).
Supporting detail: The protocol endorses iterative, team-based appraisal of relevance, richness, and rigour; AI should be used to surface candidate codes and quotes, not to replace substantive human interpretation.
Are there special ethical considerations for working with adolescent co-researchers?
Answer: Yes, ethics require meaningful consent, power-sensitive methods, and safeguarding, and the protocol obtained ethical approval for the wider project as noted in Deivanayagam et al. in PLoS One (published August 13, 2026).
Supporting detail: The protocol states that no primary data are collected for the review itself but that advisory boards and youth engagement are governed by shared agreements and university ethics approvals.
Conclusion & Next Steps
Deivanayagam et al. in PLoS One (published August 13, 2026) present a realist review protocol that shows how qualitative analysis can explain the mechanisms through which adolescents influence action against the fossil fuel industry.
Researchers conducting similar reviews should prioritise CMO mapping, equity-focused codes, and participatory validation as prescribed in the protocol by Deivanayagam et al. in PLoS One (published August 13, 2026).
AI-enabled platforms can reduce time spent on transcription, translation, and initial coding while preserving human-led retroductive synthesis; see Evidano's features for methods that align with realist workflows.
If you are planning a realist or qualitative synthesis of youth climate interventions, Try Evidano for free to accelerate document ingestion, thematic analysis, and stakeholder-ready outputs.
Topics
- qualitative analysis of youth climate interventions
- realist review youth interventions
- AI for qualitative research
- youth climate advocacy evaluation
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