AI qualitative analysis hyperkalaemia is increasingly relevant to health researchers and UX teams who must synthesise clinician interviews, policy barriers, and medication preferences into actionable insights. According to the PLoS One study, 12 practising nephrologists across six Spanish regions were interviewed in October 2025 to explore how clinicians manage hyperkalaemia while preserving renin–angiotensin–aldosterone system inhibitors (RAASi), and the study was published on July 30, 2026. This post refracts that published qualitative evidence through the lens of AI-enabled qualitative research: we summarise concrete findings from the PLoS One study, show which data points matter for reproducible thematic analysis, and map common qualitative problems to AI features that speed synthesis and support reproducibility for research teams.
Key Takeaways
Nephrologists in Spain prioritise preserving RAASi therapy and use a stepwise potassium-management algorithm, but access and coordination barriers limit use of newer potassium binders, according to the PLoS One study.
- According to PLoS One, 12 nephrologists were interviewed in October 2025 and the study was published on July 30, 2026.
- According to PLoS One, 75% of participants had more than 15 years of clinical experience and interviews averaged 53 minutes (range 45–60 minutes).
- According to PLoS One, newer potassium binders (patiromer and sodium zirconium cyclosilicate) were seen as better tolerated, with 50% of participants reporting recent patiromer use and 50% reporting recent SZC use in the prior 12 months.
- According to PLoS One, the thematic analysis produced 30 final codes grouped into 15 sub-themes and five overarching themes, highlighting clinical approaches, system friction, and unmeasured quality-of-life burdens.
What happened and how the study was done
The PLoS One study explored how nephrologists manage hyperkalaemia in predialysis CKD and whether they preserve RAASi therapy.
According to PLoS One, the research team conducted semi-structured interviews with 12 practising nephrologists across six autonomous communities in Spain in October 2025, professionally transcribed interviews, and analysed transcripts in ATLAS.ti using a codebook-based thematic analysis.
According to PLoS One, the analysis process produced 30 codes, which were consolidated into 15 sub-themes and five overarching themes: structured stepwise management, therapeutic role of newer binders, system-level access barriers (including visado prior authorisation), the central role of nursing and patient communication, and unmeasured health-related quality-of-life impacts.
According to PLoS One, clinicians reported that conservative measures (diet, diuretics, bicarbonate) were first-line, binders second-line, and RAASi down-titration or suspension only as a last resort; as one participant said, according to PLoS One, "I structure the management in a stepped way: first line, diet and diuretics; second line, bicarbonate or binders; third line, reduction or suspension of drugs that increase potassium, as a last resort." (ID05, Female, 56 years).
According to PLoS One, clinicians described newer binders as transformative: "The arrival of the new binders has been a revolution. I have not had to dialyse patients urgently for hyperkalaemia for years, thanks to these treatments, " said a participant (ID09, Male, 64 years).
Findings snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| October 2025 | Interviews conducted | 12 nephrologists | Qualitative sample size supporting thematic saturation |
| October 2025 | Interview length | Mean 53 min (range 45–60) | Rich, in-depth clinician narratives suitable for codebook analysis |
| July 30, 2026 | Publication | PLoS One article | Peer-reviewed, open access qualitative evidence |
| Past 12 months (per participants) | New binder experience | 50% patiromer, 50% SZC | Clinician experience split evenly across new binder classes |
| Analysis outcome | Analytic breadth | 30 codes → 15 sub-themes → 5 overarching themes | Provides a reusable codebook structure for secondary qualitative synthesis |
Implications for researchers using AI qualitative analysis
Answer: The PLoS One study shows which clinician-level signals matter when automating thematic synthesis of interviews about drug access and care coordination.
According to PLoS One, themes clustered around clinical algorithms, newer binders as enablers, system friction (visado/prior authorisation), nursing-led education, and limited formal HRQoL measurement, which means AI pipelines should prioritise codebooks that capture policy, workflow, and patient-experience concepts together.
Practical takeaway: tag excerpts by theme, actor (nephrologist, nurse, emergency), and system barrier to enable cross-case comparisons; the PLoS One codebook (30 codes) is a realistic target for initial automated coding and iterative refinement.
Method note: because PLoS One used professional transcription and ATLAS.ti codebook workflows, researchers replicating this work should preserve verbatim transcripts, pseudonymise data, and record coding decisions to support audit trails and COREQ reporting.
How Evidano helps
Problem: long manual coding cycles → Solution: automated thematic extraction
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Problem detail: the PLoS One study required professional transcription, verbatim cleaning, and iterative codebook refinement in ATLAS.ti, which is time intensive; according to PLoS One, transcripts averaged 53 minutes each.
Evidano feature: automated transcription (with custom dictionaries and PII redaction) reduces transcription turnaround and preserves verbatim text for AI-assisted code suggestion, cutting early-stage work hours.
Learn more: see the Evidano features page for thematic and content analyses.
Problem: reproducibility and codebook drift → Solution: versioned codebooks and audit trails
Problem detail: the PLoS One analysis used a team-developed codebook with iterative refinements and an audit trail; reproducing that rigor can be labour intensive.
Evidano feature: versioned codebooks, code frequency exports, and downloadable audit trails streamline team-based codebook development and meet COREQ-style reporting needs.
Contextual link: teams can compare outputs side-by-side with Evidano's thematic visualisations to mirror ATLAS.ti workflows.
Problem: multilingual interviews and translation risk → Solution: integrated translation
Problem detail: PLoS One interviews were conducted in Spanish and translated for reporting, introducing risk to nuance and meaning.
Evidano feature: integrated translation with custom dictionaries preserves clinical terms and participant phrasing during back-translation to support faithful quoting.
Related resource: see Evidano translation features.
Problem: linking qualitative themes to system metrics → Solution: cross-segment analysis and exportable tables
Problem detail: PLoS One connected clinician themes to administrative barriers like visado but did not quantify how often barriers caused RAASi discontinuation.
Evidano feature: cross-segment frequency analysis (e.g., by region, years of experience, binder experience) helps convert qualitative codes into tables for mixed-methods reporting and policy discussion.
Data security note: Evidano encrypts project data and does not use customer data to train third-party models; see data security.
FAQ: ai qualitative analysis hyperkalaemia
What did the PLoS One study of Spanish nephrologists find about RAASi preservation?
Answer: The study found that nephrologists prioritise preserving RAASi and use a stepwise approach where discontinuation is a last resort.
Supporting detail: According to PLoS One, clinicians reported conservative measures first, binders second, and RAASi reduction only after other options failed, and the study grouped results into five overarching themes reflecting this clinical logic.
How many clinicians were interviewed and when was the research conducted?
Answer: Twelve nephrologists were interviewed in October 2025, and the study was published on July 30, 2026.
Supporting detail: According to PLoS One, the sample included clinicians from six autonomous communities and professional transcription and ATLAS.ti analysis produced a 30-code codebook.
Can AI tools reproduce the codebook approach used in this study?
Answer: Yes, AI tools can replicate and accelerate codebook-based thematic analysis while preserving auditability.
Supporting detail: According to PLoS One, the original analysis involved iterative codebook refinement and team adjudication; AI platforms that support versioned codebooks, human-in-the-loop corrections, and exportable audit trails can match that rigor and speed up coding cycles.
What practical steps should teams take to analyse clinician interviews with AI?
Answer: Use professional transcription, pseudonymise transcripts, import to an AI-enabled platform, seed an initial codebook from pilot interviews, and iterate with human review.
Supporting detail: According to PLoS One, pilot testing the interview guide and iterative coding improved clarity and rigour; replicating that process inside an AI platform preserves trustworthiness and COREQ reporting elements.
Conclusion & Next Steps
The PLoS One study documents a clinician-driven strategy to "treat the potassium, not the RAASi, " and shows how access barriers and limited HRQoL measurement constrain guideline-concordant care.
Translating clinician narratives like those in PLoS One into reproducible evidence requires careful transcription, versioned codebooks, and cross-segment analyses that AI platforms can accelerate without replacing human judgment.
If your team needs to scale thematic synthesis, compare regional patterns, or preserve audit trails for qualitative health research, an AI-first workflow shortens time to insights and supports rigorous reporting; see Evidano features for thematic, transcription, and translation capabilities.
To try this on your own interviews, Try Evidano for free.