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Qualitative analysis of interprofessional case conferences

Evidano4 min read

Fast take: A BMJ Open qualitative substudy of the KOPAL trial (published 1 Aug 2025) interviewed 24 GPs who participated in 78 interprofessional telephone case conferences about non-cancer palliative needs. The study identifies three GP response strategies (maintain, extend, integrate) and flags psychosocial and coordination gaps that conferences reveal (source: www.bmjopen.bmj.com/content/15/8/e097181). If you run qualitative research on interviews, transcripts, or mixed survey+interview projects, this post shows how to turn these findings into reproducible insights using AI-enabled qualitative analysis on www.evidano.com. What you’ll learn: (1) the core qualitative signals from KOPAL, (2) how to map GP strategies as analytic segments, and (3) a 6-step Evidano workflow to replicate grounded-theory style coding, cross-segment comparisons, and visual reviews. Note: this is research-focused analysis, not clinical guidance.

Findings snapshot

ItemValueSource / Note
Publication date1 Aug 2025BMJ Open (KOPAL qualitative substudy)
Interviewees24 general practitionersIntervention group of KOPAL
Case conferences78 (mean 3.3 per GP)Telephone interprofessional conferences
Patients discussed84 included patients (mean 3.5 per GP)Focus: CNMD (COPD, CHF, dementia)
Main analytic resultThree GP strategies after conferences1) Maintain routines, 2) Extend routines, 3) Integrate/partial change

What happened (methods & core results)

The KOPAL qualitative substudy used open narrative interviews (May 2021–May 2022) with 24 GPs in Northern Germany and Hamburg. Transcripts were pseudonymised and analysed with grounded theory (open, axial, selective coding). Analysts used MAXQDA; interviews lasted 13–63 minutes. Key finding: interprofessional case conferences increase awareness of psychosocial and nursing gaps, but GPs respond in three predictable strategies: maintain existing routines (dismiss added value), extend routines (consult SPHC selectively), or integrate SPHC advice into ongoing care.

  • GP perceptions of SPHC influence whether recommendations are adopted (ambivalence and professional sovereignty are recurring themes).
  • Case conferences can reveal unmet needs not visible in short clinic visits (e.g., loneliness, home equipment).
  • Structural barriers (funding, capacity, unclear handoff processes) and a time lag of up to 1 year between conference and interviews complicated recall and implementation.

Implications for researchers & operational teams

For qualitative researchers

Segment participants by emergent strategies (maintain / extend / integrate) rather than only by demographics: this reveals differing readiness to act on collaboration recommendations.

Time lag between intervention and interview affects recall; capture immediate post-conference notes and link them to later interviews to triangulate memory.

Document the precise communication cues (tone, deference, language around 'sovereignty'), these drive adoption and are analyzable with automated sentiment & co-occurrence methods.

For health services & UX teams

Design interventions that treat SPHC as a consultative partner, not a replacement, messaging and role scripts matter for GP buy-in.

Use structured case-conference templates to increase actionable recommendations (the KOPAL design lacked prescriptive follow-ups).

Measure downstream actions (referrals, medication reviews, home-visit scheduling) and link them to conference content for impact analysis.

How Evidano helps operationalize a KOPAL-style qualitative analysis

Ingest: transcripts, recordings, and notes

Upload interview transcripts, audio, nurse visit notes, and study spreadsheets into Evidano in one project.

Use built-in transcription with custom dictionaries (medical terms like CHF, COPD, SPHC) and PII redaction to keep data compliant.

Reproduce grounded-theory coding at scale

Import or build a codebook and run AI-assisted coding to generate open/axial/selective code candidates mirroring MAXQDA steps.

Compare human vs AI coding, view code frequencies, and export memos, speeding iterative theorizing without losing rigor.

Segment and compare GP strategies

Create segments (maintain/extend/integrate) from coded indicators and run cross-segment thematic and frequency analyses to surface distinguishing phrases, quotes, and co-occurrence patterns.

Produce exportable visuals (co-occurrence networks, hierarchical code trees) for stakeholder briefings and round-table planning.

Secure, auditable collaboration

Projects are encrypted and Evidano does not use customer data to train third-party models, suitable for sensitive health research.

Generate versioned exports and clickable quotes to support ethics audits and reproducible reporting.

6-step reproducible workflow (do this week)

Run-book to replicate a KOPAL-style qualitative analysis with AI assistance:

  • 1) Collect assets: interview audio, nurse visit notes, and case-conference summaries; pseudonymise locally.
  • 2) Upload to Evidano (www.evidano.com). Use transcription with a custom dictionary; enable PII redaction.
  • 3) Seed an initial codebook from KOPAL themes (psychosocial gaps, medication review, home-care needs, GP stance).
  • 4) Auto-code and review top AI-suggested codes; iterate open→axial grouping in the platform.
  • 5) Create segments by GP response strategy and run cross-segment frequency + co-occurrence analyses; extract representative quotes.
  • 6) Produce a one-page stakeholder brief with visuals and recommended next steps (round tables, template changes, KPI for referrals).

Conclusion, turn qualitative signals into action

The KOPAL qualitative findings (24 GPs, 78 conferences) show that timely interprofessional case conferences can reveal hidden needs and nudge primary care, but adoption depends on GP framing and implementation design.

If your team needs reproducible thematic coding, segment comparisons, and stakeholder-ready visuals from interviews or mixed data, try Evidano to compress weeks of manual work into an auditable workflow.

Start by uploading a small batch (5–10 interviews) and run the 6-step workflow above. Learn more and start a pilot at www.evidano.com, or read the full source study at www.bmjopen.bmj.com/content/15/8/e097181.

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