Fast takeaway: The July 17, 2026 protocol in PLOS ONE outlines a Canada-wide qualitative study to describe pharmacists’ roles in periprocedural anticoagulation management (PAM) and to identify barriers and facilitators; see the full protocol at PLOS ONE. The study plans purposive maximum-variation sampling (estimated n=15–20), Microsoft Teams interviews (45–60 mins), CoLoop-assisted transcription, and conventional qualitative content analysis. Teams running similar interview- or survey-based research can use secure ingestion, verified transcription, iterative inductive coding, cross-segment comparison, and shareable visual outputs to reproduce the protocol efficiently. Want to skip CSV wrangling and speed to themes? Start with Evidano to see how these steps map to an audit-ready, secure workflow.
Key Takeaways
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." ]}
Findings snapshot
| Date / Phase | Metric | Value | Source | Implication |
|---|---|---|---|---|
| Published | Protocol publication | 17 July 2026 | PLOS ONE | Benchmark for Canada-wide PAM qualitative work |
| Background | Estimated annual anticoagulant interruptions | ≈250, 000 patients (North America) | Protocol intro | Large population-level relevance |
| Sampling | Anticipated sample | 15–20 pharmacists | Protocol methods | Maximum variation; saturation-driven |
| Data collection | Interview platform | Microsoft Teams; 45–60 min | Protocol methods | Standardized remote interviews |
| Transcription & tools | Transcription service | CoLoop (with verification) | Protocol methods | Plan includes transcript review & member checking |
| Timeline | Recruitment & collection window | Mar–Jul 2026 (collection ends by 31 Jul 2026) | Protocol timeline | Concurrent analysis; preliminary findings Oct 31, 2026 |
What the study does (plain English)
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."]}
Why this matters for qualitative teams
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."]}
Qualitative analysis of periprocedural anticoagulation: methods mapped to an AI-enabled workflow
Ingest & verify
The ingest and verify step describes ingestion of Teams audio, CoLoop-verified transcripts, Qualtrics screening data, and field notes, and the verification steps required before coding. Input formats include audio (Teams), transcripts (CoLoop-verified), Qualtrics screening data, and field notes.
Evidano match: Automated ingestion of interview audio and Qualtrics CSVs; transcription with custom dictionary and PII redaction so you can standardize medication and procedure names before coding.
Inductive coding at scale
The inductive coding step explains how to derive codes from the data using dual coding and consensus while keeping analysts in control. The protocol specifies manual, dual-coder induction to create codes and categories.
Evidano match: AI-assisted code generation that proposes inductive codes from your corpus while showing source excerpts; Evidano preserves analyst control (accept, edit, or reject AI-suggested codes) and supports hierarchical codes and subcodes for tree-diagram reporting.
Cross-segment & saturation tracking
The cross-segment and saturation step describes comparing themes across region, gender, and setting while tracking when additional interviews stop adding new codes. The protocol relies on constant comparative analysis and cross-case comparisons across gender, region, and setting.
Evidano match: Automatic cross-segment frequency tables and co-occurrence networks, plus a saturation monitor that highlights emerging versus exhausted codes as you add interviews.
Transparency & audit trail
The transparency and audit trail step describes maintaining reflexive memos, timestamped decisions, and member checking to support trustworthiness. The protocol expects an audit trail, reflexive memos, and member checking.
Evidano match: Built-in audit logs, timestamped coding decisions, memoing fields per excerpt, and exportable deliverables for ethics files or manuscripts; Evidano encrypts data and does not use your corpus to train third-party models.
Visuals & reporting
The visuals and reporting step explains generating tree diagrams, exemplar quotes, and co-occurrence visuals for COREQ-aligned outputs. The protocol suggests tree diagrams and exemplar quotes.
Evidano match: One-click hierarchical code visualizations, word clouds, co-occurrence networks, and downloadable quote sets organized by code and segment for COREQ-compliant reporting.
Two-week pilot workflow (reproduce the protocol fast)
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."]}
FAQ: qualitative analysis of periprocedural anticoagulation
How many interviews until saturation?
The protocol anticipates 15–20 participants and recommends iterative saturation monitoring to determine when additional interviews add little new information. The protocol anticipates 15–20 participants for maximum variation sampling and advises monitoring saturation iteratively using tools such as Evidano’s saturation tracker.
Can AI replace manual coding?
AI cannot fully replace manual coding, but AI can accelerate the inductive phase while preserving human oversight. The protocol emphasizes dual independent coding and consensus, and recommends using AI-assisted suggestions that human analysts vet rather than replacing human interpretation.
How should teams protect sensitive clinical data?
Teams should remove personal identifiers, store data encrypted, and use consented member-checking to protect sensitive clinical data. The protocol instructs removal of personal identifiers, secure storage, and member checking; Evidano offers transcription PII redaction, end-to-end encryption, and does not expose your corpus to third-party model training.
Wrapping up: next steps for teams
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."]}
Ready to turn your interview transcripts into rigorous, auditable insights? Try Evidano for free.