Qualitative analysis: schistosomiasis training needs

The workshops in Pakwach, Buliisa, and Mayuge (Oct 21, 22, 25, 2024) identified gaps in distinguishing current infection from chronic morbidity, fragmented referrals, and frequent lack of praziquantel and ultrasound expertise. The study used one-day district workshops with 105 government health workers and manual inductive thematic coding to surface operational barriers to facility-based schistosomiasis management. The AI-enabled workflow presented here reproduces the study outputs in days by ingesting transcripts and case files into Evidano and producing validated themes, cross-district comparisons, and stakeholder-ready reports.

{"points": ["Workshops in Oct 2024 engaged 105 government health workers across three districts to map case definitions, patient pathways, and resource needs.", "The study found core gaps: unclear case definitions for infection versus chronic morbidity, fragmented referral pathways, praziquantel stockouts, and limited ultrasound skills.", "Reproducing the assessment is feasible in days using a structured 6-step AI-enabled workflow: ingest, standardize, auto-code, analyze, visualize, and iterate."]}

Workshops in Pakwach, Buliisa, and Mayuge (Oct 21, 22, 25, 2024) engaged 105 government health workers to map case definitions, patient pathways, and resource needs for intestinal schistosomiasis morbidity management, and the study reports major gaps in distinguishing current infection versus chronic morbidity, fragmented referrals, and frequent lack of praziquantel and ultrasound expertise.

{"points": "Original source: [PLOS Neglected Tropical Diseases", "Why it matters: Without standardized case definitions and routine facility data, severe morbidity is under-recognized and unmanaged.", "Quick win: Use structured case studies and targeted, practical trainings to align clinical language and referral steps."]}

The authors ran three one-day district workshops in rural Uganda (Oct 2024). Sessions combined cohort summaries, an expert clinical case, small-group reviews of real SchistoTrack patient cases (examined Jan–Feb 2024), pathway mapping, anonymous feedback, and demonstrations (Kato-Katz microscopy, ultrasound). Notes taken in English were manually coded using inductive thematic analysis, two authors validated codes, and the authors consolidated themes.

{"points": ["Outcome: three core themes, gaps in case definitions/diagnostic language, fragmented patient pathways, and limited training/resources.", "Practical nuance: many facilities used low-sensitivity wet mounts for diagnosis; ultrasound interpretation and abdominal palpation skills were sparse.", "Implication: MDA reduces infection but does not resolve periportal fibrosis, facility-based case management thus needs different tools and training."]}

Step 1: Gather inputs, for example workshop notes, audio (transcribe in Evidano with PII redaction), case-study PDFs, and HMIS extracts.

Step 2: Standardize, import or create a codebook in Evidano, and set segment variables (district, cadre, facility level).

Step 3: Auto-code and refine, run AI-assisted coding, review uncertain codings, and lock validated codes.

Step 4: Thematic and cross-segment analysis, generate theme frequencies, co-occurrence networks, and segment comparisons (for example sonographers versus clinicians).

Step 5: Visualize and export, build word clouds, hierarchical code trees, and a one-page policy brief with clickable source quotes for validation workshops.

Step 6: Iterate and measure, deploy AI-avatar follow-up interviews at 4–8 weeks to measure training uptake and changes in referral practice.

Pairing structured qualitative methods with an AI research platform dramatically cuts synthesis time and improves reproducibility for training needs assessments like the PLOS Uganda workshops. Reproduce the study’s outputs (themes, quotes, cross-district comparisons) in days by ingesting transcripts and case files into Evidano. Start a pilot: upload one workshop’s notes and run a thematic and cross-segment report to demonstrate immediate value to district health officers.

{"points": ["Reproduce the study’s outputs in days by ingesting transcripts and case files into Evidano.", "Start a pilot: upload one workshop’s notes and run a thematic and cross-segment report to show immediate value to district health officers."]}

Ready to try this workflow? Try Evidano for free or visit Evidano to learn more or contact the team about a free pilot on one workshop dataset and a stakeholder-ready report in under 7 days.