Faster Fixes: Qualitative Analysis of Vaccination Campaigns

Evidano is an AI-powered qualitative data analysis platform that ingests transcripts, documents, and audio to accelerate mixed-methods implementation analysis, and it can convert the July 10, 2026 PLoS study of the Sept 2021 campaign in southern Cercado into prioritized fixes.

The July 10, 2026 PLoS study found that no health center reached ≥80% adherence on a 27-item checklist and identified cold-chain instability and understaffed vaccination brigades as primary drivers of low fidelity.

• Study snapshot: the Sept 2021 campaign was analyzed across 17 first-level health centers, with 154 interviews (46 ETD staff and 108 pet owners).
• Fidelity range: adherence to the 27-item checklist was 32%–79%, with no center meeting ≥80% adherence.
• Operational gaps: 13 of 17 centers (76.5%) lacked refrigerators, and 15 of 17 brigades (88.2%) were incomplete.
• Action focus: prioritize cold-chain fixes and brigade completeness, and map Carroll fidelity shortfalls to CFIR-coded barriers for fundable interventions.

This section summarizes what happened, the study methods, and the core gaps found in the Sept 2021 campaign.

This mixed-methods study combined Carroll’s implementation-fidelity framework (content, coverage, frequency, duration) with CFIR-guided qualitative interviews to answer not just whether coverage targets were missed but why.

Researchers used a conservative, documentary-verified 27-point checklist and conducted 154 semi-structured interviews (46 ETD staff, 108 pet owners).

Key operational failings included widespread cold-chain instability (damaged coolers, missing refrigerators), understaffed vaccination brigades, fragmented ETD–OTB coordination, and limited advance communication (only 4 of 17 centers started promotion at least one month early).

• Design: cross-sectional, purposive sampling; retrospective documentary verification (late 2022) of the Sept 2021 campaign.
• Mixed evidence: quantitative fidelity scores (no center ≥80% adherence) combined with CFIR narratives explaining barriers and facilitators.
• Main drivers: infrastructure (cold chain), human resources (brigade composition), coordination (interinstitutional fragmentation), and communication (language and timing).

This section lists a quick 7-step workflow to replicate the study’s actionable insights using Evidano.

• 1) Ingest sources: upload transcripts, PDFs, WhatsApp exports, and spreadsheets (vaccine logs, staffing rosters).
• 2) Auto-transcribe audio (Spanish/Quechua) with custom dictionary and PII redaction.
• 3) Auto-translate where needed and normalize terminology (for example, 'brigade' synonyms).
• 4) Import the 27-item checklist as a codebook; run automated coding and review AI-suggested code assignments.
• 5) Run thematic, frequency, and cross-segment analyses (by center, by OTB, by neighborhood) to map fidelity gaps to CFIR constructs.
• 6) Produce visuals: word clouds, co-occurrence networks, hierarchical code trees, and exportable executive briefs with source-linked quotes.
• 7) Share a reproducible report and set follow-up AI-avatar interviews to fill data gaps (for example, absent national-level actor perspectives).

This conclusion gives two immediate operational moves to raise fidelity quickly.

1) Prioritize cold-chain fixes and brigade completeness for immediate fidelity gains, using thermotolerant vaccines and community volunteers for quick wins.

2) Run a reproducible CFIR × Carroll analysis on your own campaign documents to convert storytelling into ranked, fundable actions.

• Reproduce this PLoS analysis quickly by uploading your transcripts and checklists to Evidano.
• Read the original study for full methods and data: PLoS Negl Trop Dis.
• Try Evidano for free.