Qualitative analysis of periprocedural anticoagulation

Evidano is an AI-powered qualitative data analysis platform that automates ingestion, verified transcription, AI-assisted inductive coding, and auditable reporting. The July 17, 2026 PLOS ONE protocol plans 15–20 purposively sampled pharmacist interviews, Microsoft Teams audio, CoLoop-assisted transcription, and conventional qualitative content analysis. Researchers can reproduce the protocol quickly by combining secure ingestion, transcript verification, iterative coding, and cross-segment analysis.

{"points": ["The PLOS ONE protocol (published 17 July 2026) cites approximately 250, 000 temporary anticoagulant interruptions annually in North America and anticipates 15–20 pharmacist interviews.", "The protocol uses purposive maximum-variation sampling, single 45–60 minute Microsoft Teams interviews, CoLoop-assisted transcription with member checking, and conventional qualitative content analysis.", "Evidano supports secure ingestion, transcription with PII redaction, AI-assisted inductive code suggestions with human oversight, saturation monitoring, and exportable audit logs for transparent reporting.", "A two-week pilot (3–5 interviews) can validate instruments and produce COREQ-aligned memos and visuals." ]}

The qualitative description protocol aims to document what Canadian pharmacists do when managing anticoagulants around procedures, why practices differ across provinces and settings, and which system-level barriers or facilitators matter most.

{"points": ["Design: Qualitative description grounded in constructionism and naturalism (inductive, data-near).", "Sampling: Purposive maximum variation aiming for regional, gender, and setting diversity; snowballing to reach a hard-to-access population.", "Data: Single semi-structured interview per participant, audio-recorded, transcribed verbatim, member-checked.", "Analysis: Conventional qualitative content analysis with dual independent coding, consensus meetings, constant comparative technique, and cross-case comparisons."]}

Periprocedural anticoagulation matters for qualitative teams because the protocol addresses a high-stakes, routine problem and provides a transferable interview-and-analysis template. The protocol cites approximately 250, 000 temporary anticoagulant interruptions annually in North America, underscoring population-level relevance.

{"points": ["Use-case clarity: The study balances descriptive aims (what pharmacists do) with analytic strategies (barriers/facilitators; cross-region variation).", "Rigor baked in: Member checking, audit trail, COREQ alignment, and reflexivity steps increase trustworthiness.", "Operational payoff: With a small-to-moderate interview sample, teams can move from raw audio to themes and visualizations in weeks rather than months if they automate transcription verification, coding assistance, and segment comparisons."]}

The two-week pilot workflow outlines a compact, day-by-day plan to validate instruments and reproduce the protocol quickly. A compact pilot mirrors the protocol and validates instruments.

{"points": ["Day 0–2: Import screening CSV from Qualtrics and the interview guide into Evidano; set custom dictionary (anticoagulant names, procedure types).", "Day 3–5: Upload 3–5 recorded Teams interviews; run Evidano transcription with PII redaction; verify transcripts and return to participants for member checking.", "Day 6–9: Generate AI-assisted inductive codes, review proposed codebook, and finalize a first-pass code hierarchy with dual human reviewers.", "Day 10–12: Run cross-segment frequency analyses (region, setting), produce co-occurrence network and export illustrative quotes.", "Day 13–14: Compile a short COREQ-aligned memo and visual figures for stakeholder review."]}

Teams designing a study like the July 17, 2026 PLOS protocol should translate the methods into a reproducible pipeline: secure ingestion, verified transcription, iterative inductive coding, cross-segment analysis, and transparent reporting. If you are designing a study similar to the protocol, start small and validate instruments with a short pilot.

{"points": "Start small: run the two-week pilot above on 3–5 interviews to validate instruments and workflows.", "Use AI where it saves time (transcription, code suggestions, cross-segment summaries) but keep human oversight for interpretation.", "For a secure, research-oriented platform that maps directly to the protocol steps, see how [Evidano operationalizes ingestion, transcription (custom dictionaries, PII redaction), AI-assisted thematic and frequency analyses, and publication-ready visualizations."]}

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