Evidano is an AI-powered qualitative data analysis platform that speeds thematic coding and synthesis while keeping data private. Researchers and communicators wrestle with platform metrics that show reach but not why content mattered. The PRiVENT project (Feb 2021–Mar 2025) produced 72 blog posts, 880 social posts and 3 podcast seasons (21 episodes), totaling 2.6 million views; the PLOS report was published 25 June 2026 (PLOS). This post shows how to convert those visibility numbers into themes and stakeholder-ready findings using an AI-enabled qualitative analysis workflow. If you analyse transcripts, posts, or platform analytics, this is a reproducible path to actionable insight, and how Evidano speeds each step while keeping data private.
Key Takeaways
PRiVENT reached 2.6 million views across 02/2021–03/2025, showing that coordinated, plain-language content can amplify specialised health topics but visibility alone does not prove behaviour change.
- PRiVENT timeframe: 02/2021–03/2025; the PLOS study reporting these metrics was published 25 June 2026.
- Content volume: 72 blog posts, 880 social posts, and 3 podcast seasons (21 episodes) produced the reported reach.
- Total reported reach: 2.6 million views (platform-reported, data extracted 12 March 2025).
- Top traffic drivers were plain-language explainers, for example "What is weaning and how does it work? " which had 35, 617 views.
Fast take: PRiVENT’s reach and why it matters
PRiVENT reached 2.6 million views across 02/2021–03/2025, demonstrating amplified visibility for long-term invasive mechanical ventilation.
PRiVENT used a coordinated multi-channel campaign (website, Facebook, Instagram, LinkedIn, YouTube, DocCheck) to raise visibility for long-term invasive mechanical ventilation; platform metrics extracted on 12 March 2025 show peaks on Facebook and Instagram and sustained professional visibility on LinkedIn.
- Timeframe: 02/2021–03/2025; PLOS publication: 25 June 2026.
- Volume: 72 blog posts, 880 social posts, 3 podcast seasons (21 episodes).
- Total reported reach: 2.6 million views; top article "What is weaning and how does it work? " = 35, 617 views.
- Source: PRiVENT content & metrics summary (PLOS).
Findings snapshot
| Date / Metric | Value | Why it matters | Source |
|---|---|---|---|
| 02/2021–03/2025 (campaign) | 72 blog posts; 880 social posts; 3 podcast seasons (21 eps) | Sustained content production supports repeated exposure and platform peaks | PLOS (published 25 June 2026) |
| Total reach | 2.6 million views (platform-reported) | Visibility-level signal, does not equal measured learning or behaviour change | PLOS (data extracted 12 Mar 2025) |
| Top pages | "What is weaning" 35, 617; "What is invasive ventilation" 27, 236 | Foundational, plain-language explainer content drove most traffic | PLOS (Table of top 10 posts) |
| Platform mix | Facebook (1.7M), Instagram (0.6M), LinkedIn (~854 followers) | Different platforms reach distinct demographic and professional slices | PLOS (Fig 2, Fig 3) |
What happened (methods in plain English)
The PRiVENT team produced blogs, podcasts and social posts and used platform-provided metrics to report reach and approximate audience descriptors.
A multidisciplinary PR team (clinicians, health researchers, designers, editor) produced blog posts, podcasts and social posts and promoted content (organic and targeted Facebook ads in Baden-Württemberg). The study used platform-provided metrics (views, impressions, interactions) and aggregated audience descriptors to report reach and approximate demographics.
- Data extraction date: 12 March 2025; analysis descriptive (absolute counts, percentages).
- Languages: all content in German; campaign homepage: PRiVENT campaign homepage.
- Limitations flagged by authors: platform metric heterogeneity, no occupational identifiers, visibility does not equal engagement depth.
Implications for researchers and communicators
For qualitative researchers
Qualitative researchers should integrate visibility metrics with content-level coding to explain why posts resonated.
Visibility metrics are useful inputs but need to be integrated with content-level coding to answer why posts resonated.
Use thematic coding of blog text, podcast transcripts, and comments to surface recurring concerns (for example, 'weaning basics', 'care burden').
Link reach peaks to content themes and posting cadence to identify effective narrative frames.
For UX / research teams
UX and research teams should segment audiences by platform before comparing results across platforms.
Segment audience by platform (Instagram = younger, more female; Facebook = older) before running cross-segment comparisons.
Cross-analyse theme frequency with demographic slices to prioritize UX content and product documentation.
Validate platform-analytics inferences with short follow-up interviews or micro-surveys.
For health communicators & policy analysts
Health communicators should prioritise plain-language explainers and measure downstream outcomes beyond visibility.
Plain-language explainers drove the largest traffic, invest in accessible explainer content and repurpose for multiple channels.
Visibility gains do not equal behaviour change, so measure downstream outcomes (e-learning uptake, consult requests) where possible.
Watch for misinformation and misinterpretation, pair public posts with authoritative resources and easy contact points.
Do more, faster with Evidano
Problem: Reach numbers but no themes → Solution
Evidano speeds the conversion of reach numbers into thematic analyses and exportable codebooks.
Ingest blog text, podcast transcripts and scraped social posts into Evidano to generate thematic and frequency analyses across the whole corpus in minutes.
Use AI-assisted coding to surface the dominant themes (weaning basics, aftercare, staffing) and export a hierarchical codebook for reproducible analysis.
Problem: Platform demographics are indirect → Solution
Evidano enables cross-segment comparison of theme prevalence by platform to validate demographic inferences.
Combine platform analytics with content-level cross-segment analysis in Evidano to compare theme prevalence by platform (for example, 'weaning basics' frequency on Instagram vs LinkedIn).
Visualize co-occurrence networks and subcode hierarchies to show which messages cluster with engagement peaks.
Problem: Multimodal inputs (audio, transcripts, comments) → Solution
Evidano supports transcription, custom dictionaries and PII redaction so multimodal content is searchable and codable.
Evidano provides transcription (custom dictionary, PII redaction) and translation; upload PRiVENT podcasts and get searchable transcripts ready for thematic coding.
Keep sensitive data private: Evidano encrypts data end-to-end and does not use customer data to train third-party models.
Problem: Stakeholders want quick deliverables → Solution
Evidano produces stakeholder-ready visual exports and quote packs from a single workflow.
Produce exportable visual reports (word clouds, co-occurrence networks, summary tables) and clickable quotes for stakeholder decks in a single workflow.
Checklist: 7-step qualitative workflow to reproduce PRiVENT-style insights
Follow these seven steps to convert platform reach into thematic findings and recommendations.
- 1) Gather inputs: export posts, comments, blog text, and podcast audio (dates: 02/2021–03/2025).
- 2) Transcribe audio with medical dictionary and PII redaction.
- 3) Preprocess and tag by platform and date (Facebook, Instagram, LinkedIn).
- 4) Run unsupervised thematic extraction, then import or refine codebook.
- 5) Cross-segment analysis: compare theme frequency by platform and demographic slices.
- 6) Visualize co-occurrence maps and top quotes, link peaks to specific posts/themes.
- 7) Deliver a 1-page decision brief that maps themes to recommended communications or training actions.
Evidano accelerates steps 2–6 and packages visual exports for stakeholder-ready reports.
Ethics note
This analysis is research-focused and non-diagnostic; follow consent and local ethics rules and redact PII before analysis when working with clinical or identifiable data.
FAQ: qualitative analysis of health social media
What did PRiVENT achieve and over what timeframe?
PRiVENT achieved 2.6 million reported views across 02/2021–03/2025 by publishing multi-channel content and targeted promotion.
The project produced 72 blog posts, 880 social posts and 3 podcast seasons (21 episodes) and reported platform peaks on Facebook and Instagram with sustained visibility on LinkedIn, as summarised in the PLOS report (PLOS).
How were the platform metrics collected and what are their limits?
Platform-provided metrics (views, impressions, interactions) were used, but the metrics reflect visibility not engagement depth or behaviour change.
Data were extracted on 12 March 2025, analysis was descriptive (absolute counts, percentages), and authors flagged limitations such as metric heterogeneity and missing occupational identifiers.
How can researchers convert reach numbers into actionable insights?
Researchers can convert reach numbers into insights by combining thematic coding of content with cross-segment comparisons and linking peaks to themes.
The reproducible workflow is: gather inputs, transcribe audio, preprocess and tag by platform and date, run thematic extraction, cross-analyse themes by segment, visualise co-occurrence, and deliver a decision brief.
How does Evidano help with multimodal corpora and privacy?
Evidano supports transcription, custom medical dictionaries, PII redaction, thematic coding and secure data handling so multimodal corpora are analysable and protected.
Evidano provides transcription and translation, allows exportable visual reports and encrypts data end-to-end without using customer data to train third-party models.
Wrapping up: next moves
PRiVENT shows social media can amplify specialised health topics (2.6M views across 02/2021–03/2025) but turning visibility into actionable insight requires qualitative coding, segment comparisons and synthesis.
If you run health communication or mixed-methods research, try a short pilot: ingest one year of posts and podcasts into an AI-enabled platform to produce a themed briefing in under a week.
Ready to map reach to themes and stakeholder action? Start a pilot with Evidano at Try Evidano for free, secure, research-focused, and built to convert platform metrics into decisions. For details on the original study see PLOS.