Scale KAP Insights: Qualitative Analysis of Health Education

This post shows how to turn a July 15, 2026 gamified KAP pilot's mixed data into reproducible qualitative evidence using automated ingestion, AI-assisted coding, and cross-segment analytics.

• The July 15, 2026 pilot (n=90) produced immediate mean gains: knowledge +60.52, attitudes +26.89, and practices +29.32.
• Combine pre/post KAP questionnaires, facilitator notes, and game-score sheets to triangulate why scores changed across children (7–12), adolescents (13–17), and adults (18+).
• Evidano ingests transcripts, Excel survey exports, and facilitator notes, offers AI-assisted code suggestions and custom-dictionary transcription, and exports shareable visuals while keeping data private.

In brief: A multi-component, gamified health-education pilot published 15 July 2026 improved knowledge by +60.52 points, attitudes by +26.89, and practices by +29.32 across 90 participants (30 children, 30 adolescents, 30 adults).

• Design: 3 half-day, age-tailored sessions with five off-line game stations and illustrated materials.
• Measured: standardised pre/post KAP questionnaire (knowledge 11 items; attitudes 10; practices 11).
• Key result: large, immediate post-intervention gains across domains; equal impact irrespective of baseline scores.
• Full study: PLOS Neglected Tropical Diseases.

This pilot used briefings and age-adapted, offline games (Pictionary, Bingo, matching, charades) to deliver hygiene and prevention messages in a People’s Housing Programme in Klang Valley, and participants completed validated KAP questionnaires immediately before and after the sessions.

• Recruitment: convenience sampling via local residents’ association; inclusion: low-income households in one PHP block.
• Data types generated: pre/post structured questionnaires, facilitator notes, game-score tallies, and community feedback.
• Analysis used paired t-tests and ANOVA to show significant, immediate post-intervention gains.
• Limitations: single-site pilot, immediate post-test only, reliance on self-report (social desirability risk).

This two-week runbook shows how to go from raw files to insight in 11–14 days using automated ingestion, codebook finalisation, and visual exports.

• Day 1–2: Collect and upload pre/post survey exports, facilitator notes, and any audio recordings (transcribe inside Evidano; add custom dictionary for local terms).
• Day 3–5: Auto-suggest codes from a seed list (e.g., 'waste disposal', 'handwashing', 'incentive response'); review and finalize codebook.
• Day 6–8: Run thematic frequency and co-occurrence analyses; tag illustrative quotes and link to participant age groups.
• Day 9–10: Produce cross-segment comparisons (children vs adults vs adolescents) and visual exports (code tree, network, word cloud).
• Day 11–14: Draft a 1‑page executive brief with recommended adaptations and confidence notes; prepare materials for stakeholder review.

The July 15, 2026 gamified KAP pilot demonstrates strong short-term gains and highlights the value of pairing quantitative pre/post metrics with rapid qualitative coding to explain mechanisms and surface scalable fixes.

• For teams evaluating similar interventions (NTDs, WASH, or school health), reproduce the study’s insights faster by combining automated ingestion, reproducible codebooks, and cross-segment visual analytics.
• Want to try it? Try Evidano for free to upload transcripts and survey exports, run thematic and cross-segment analyses, and produce an executive brief in days rather than weeks.
• Next move: run a two-week pilot analysis on one community dataset (n≈30–100) to validate themes, then scale decisions for a cluster or stepped-wedge evaluation.