Faster Qualitative Analysis of Vaccine Communication

Researchers and policy teams often ask: which communication channels actually move vaccine attitudes? This post distils a mixed-methods study from Plateau State, Nigeria (survey July–Sept 2022; interviews Oct 2022) and shows how to run a reproducible qualitative analysis of vaccine communication with AI support. We map the study’s key metrics (n=300; promotion R²=0.240; outreach R²=0.171; digital R²=0.057) into a practical workflow you can run in www.evidano.com, from ingesting transcripts to cross-segment thematic reports. Read on to learn what worked in the field, what that implies for researchers and how to replicate the analysis with secure, audit-ready AI tools.

Fast Take: qualitative analysis of vaccine communication

A mixed-methods study in Plateau State (published Aug 2025) compared digital media campaigns, community outreach and promotion efforts for COVID-19 vaccine acceptance. Full study: www.bmjopen.bmj.com/content/15/8/e094029

Design: Cross-sectional mixed-methods (n=300 survey respondents; 15 key informant interviews).
Main result: Promotion efforts had the strongest association with vaccine acceptance (Spearman’s rho=0.490; R²=0.240).
Takeaway: Prioritise locally tailored promotional campaigns and face-to-face outreach; use digital media as a complementary channel.

Findings snapshot

Metric	Value	Note / Implication	Source
Sample size	300 valid survey responses; 15 key informant interviews	Adequate for state-level mixed-methods inference; demographic skew to older, educated respondents	www.bmjopen.bmj.com/content/15/8/e094029
Survey timeline	July–September 2022; interviews Oct 2022	Cross-sectional; limits causal claims but captures context during active rollout	www.bmjopen.bmj.com/content/15/8/e094029
Promotion efforts	Spearman rho=0.490; R²=0.240	Strongest predictor of vaccine acceptance, invest in localised promotions	www.bmjopen.bmj.com/content/15/8/e094029
Community outreach	Spearman rho=0.414; R²=0.171	Moderate positive effect, especially critical in low-connectivity areas	www.bmjopen.bmj.com/content/15/8/e094029
Digital media	Spearman rho=0.239; R²=0.057	Statistically significant but small practical effect, best used to amplify on-the-ground work	www.bmjopen.bmj.com/content/15/8/e094029
Demographics	67% tertiary education; 36% aged 51+	Sample more educated/older than general population, tailor messaging for younger/less-educated groups	www.bmjopen.bmj.com/content/15/8/e094029

What the study did (plain English)

The authors used a multistage random sample across Plateau State to collect 300 completed questionnaires (75% response rate from 400 distributed). They measured perceptions of digital campaigns, outreach and promotion on 5-point Likert scales and confirmed internal consistency (Cronbach’s alpha >0.85). Non-parametric tests (Spearman correlation) and regression models estimated associations; qualitative interviews (n=15) provided contextual quotes and themes that explained why promotion and outreach outperformed digital-only tactics.

Design: Cross-sectional mixed-methods; survey July–Sept 2022; interviews Oct 2022.
Key measures: Perceived effectiveness of communication channels; vaccine acceptance (willingness/uptake).
Limitations: Self-report bias, single-state focus, no urban/rural subgroup analysis in final models.

Implications for researchers, UX teams and policy analysts

For qualitative researchers

Don’t treat digital metrics as a proxy for persuasion, pair digital reach with coded interview data to capture trust and barriers.

Code for messenger credibility and logistical constraints (access, transport) to explain gaps between intent and uptake.

For UX / communications teams

Prioritise creative, culturally resonant promotional materials delivered by trusted local messengers (health workers, religious leaders).

Use digital channels to surface FAQs and direct people to local outreach events rather than as the sole call-to-action.

For policy & program teams

Allocate budget toward community promotion and outreach (mobile clinics, local influencers) where R² gains are largest.

Plan evaluation: combine short surveys with qualitative interviews to track both attitude shifts and access barriers.

Do more, faster with Evidano (map to this study)

Problem: Fragmented inputs (surveys + interviews) → Solution: Unified ingestion

Evidano ingests spreadsheets, interview transcripts and PDFs so you can align survey items with coded interview passages and run joint analyses.

Problem: Slow thematic synthesis → Solution: Thematic + frequency analysis

Auto-extract themes and quote clusters, surface frequency and co-occurrence, then refine with human-reviewed codebooks to match local terms and messengers.

Problem: Multilingual interviews + local terms → Solution: Transcription & translation with custom dictionary

Auto-transcribe audio (custom dictionary for local names/phrases) and translate while preserving coding consistency across languages.

Problem: Stakeholder-ready outputs → Solution: Visuals & cross-segment reports

Generate co-occurrence networks, hierarchical code→subcode maps and cross-segment (age/education/location) comparisons for rapid reporting.

Security & compliance

Data encrypted end-to-end; Evidano models are proprietary and your data is never used to train third-party models, suitable for sensitive public-health research.

Reproducible 7-step workflow (run this week)

1) Import survey CSV and interview audio/transcripts into Evidano.

2) Auto-transcribe interviews with a custom dictionary for local names and terms; redact PII if required.

3) Create a seed codebook from the study’s themes (promotion, outreach, digital, trust, access).

4) Run AI-assisted coding and review uncertain segments manually to ensure cultural nuance.

5) Produce thematic frequency tables, cross-segment comparisons (age, education), and quote bundles for each theme.

6) Create visuals (co-occurrence network, code hierarchy) and export a stakeholder slide deck.

7) Run a short follow-up AI avatar interview to probe emerging gaps (e.g., youth barriers).

Ethics note: This is research-focused analysis, ensure informed consent for recordings and follow local IRB guidance when working with health-related data.

Wrapping up & next steps

The Plateau State study (Aug 2025) gives a clear hierarchy: promotion > outreach > digital for vaccine acceptance in this sample. For practitioners, that means centring trusted messengers and combining channels rather than relying on digital reach alone.

If you want to replicate this mixed-methods pipeline and produce reproducible, stakeholder-ready reports in days (not weeks), start a demo or trial at www.evidano.com and bring your surveys and transcripts. Need help mapping the codebook from the BMJ study into your corpus? Book a walkthrough with our research team.

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