This post translates a PLOS One qualitative study for AI-enabled qualitative researchers and clinical teams, showing how nephrologists manage hyperkalaemia to preserve renin–angiotensin–aldosterone system inhibitor (RAASi) therapy. The primary keyword, hyperkalaemia qualitative analysis, appears here because researchers and research engineers need concrete methods and reproductions of codebook-based thematic workflows. According to the PLOS One study, 12 nephrologists were interviewed in October 2025 across six Spanish regions and the analysis produced five overarching themes; this post explains what was done, what was found, and how AI tools can speed trustworthy synthesis.
Key Takeaways
According to the PLOS One qualitative study (Gimenez-Stamminger et al., published 30 July 2026), Spanish nephrologists prioritised preserving RAASi drugs and used a stepwise approach combining diet, diuretics, bicarbonate, and potassium binders to avoid RAASi discontinuation.
- 12 nephrologists were interviewed in October 2025 and the sample included clinicians from six autonomous communities, as reported in the PLOS One paper (published 30 July 2026).
- Interviews averaged 53 minutes and produced 30 final codes organised into 15 sub-themes and five overarching themes, according to the PLOS One methods section.
- In the PLOS One results, participants described newer binders (patiromer and sodium zirconium cyclosilicate) as better tolerated than traditional resins, supporting RAASi continuity; usage in the prior 12 months was split 50% patiromer and 50% SZC among participants.
- Clinicians reported system-level barriers such as prior authorisation (_visado_) and fragmented cross-specialty communication, a finding documented in the PLOS One discussion.
- Direct clinician quote from the PLOS One interviews: "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." (Participant ID05, quoted in PLOS One).
What Happened: hyperkalaemia qualitative analysis in Spain
The PLOS One study interviewed 12 practising nephrologists in October 2025 to characterise real-world hyperkalaemia management and RAASi decision-making in Spain, as described in Gimenez-Stamminger et al. (published 30 July 2026).
According to the PLOS One methods, researchers used semi-structured interviews conducted in Spanish, transcribed verbatim, and analysed with ATLAS.ti using a codebook-based thematic analysis; the team iteratively refined 30 codes into 15 sub-themes and five themes.
According to the PLOS One results, the five themes were: (1) stepwise clinical algorithms to preserve RAASi, (2) newer potassium binders (patiromer and SZC) viewed as better tolerated than traditional resins, (3) system-level access and communication barriers such as _visado_, (4) the central role of nursing and patient education, and (5) the unmeasured impact on patients’ daily functioning and health-related quality of life (HRQoL).
When the PLOS One paper referenced guidelines, it cited KDIGO and European Society of Cardiology recommendations; for example, KDIGO guidance was used to contextualise RAASi preservation (see KDIGO guidance https://doi.org/10.1016/j.kint.2023.10.018).
Findings Snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| October 2025 | Interviews conducted | 12 nephrologists | Small purposive sample, rich clinician perspectives |
| October 2025 | Interview length | Average 53 minutes | In-depth accounts suitable for thematic coding |
| Past 12 months (as of Oct 2025) | Binder prescribing experience | 50% patiromer, 50% SZC among participants | Clinicians had real-world exposure to newer binders |
| July 30, 2026 | Publication | PLOS One (Gimenez-Stamminger et al.) | Peer-reviewed qualitative report with coded supporting tables |
| Analysis phase | Codes/sub-themes/themes | 30 codes → 15 sub-themes → 5 themes | Structured codebook approach using ATLAS.ti |
Implications for qualitative researchers and clinical teams
Answer: The PLOS One study shows that a codebook-based thematic approach can surface implementation barriers and clinician reasoning that quantitative datasets miss.
According to the PLOS One methods and results, purposive sampling across regions and iterative codebook refinement produced transferable themes about access (_visado_), multidisciplinary communication, and HRQoL gaps that are directly actionable for policy and implementation research.
For qualitative researchers, the PLOS One workflow, semi-structured interviewing, verbatim transcription, team double-coding of an initial subset, iterative codebook refinement, and ATLAS.ti-assisted coding, provides a replicable blueprint for studying clinical decision-making.
For clinical quality teams, the PLOS One findings imply three operational priorities: streamline prior authorisation for newer binders, embed nursing-led education pathways, and routinely measure HRQoL using validated patient-reported outcome measures.
How Evidano Helps
Problem: manual transcript management and slow synthesis
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. Evidano features include automated transcription, secure document ingestion, and codebook-friendly exports that align with the workflow used in the PLOS One study.
Many teams waste analyst hours on verbatim transcription, manual code application, and fragmented spreadsheets; the PLOS One study showed that rich interviews (average 53 minutes) generate many codes and sub-themes that are time-consuming to assemble manually.
Solution: accelerate codebook development and thematic synthesis
Evidano can auto-transcribe interviews, tag speaker turns, and produce preliminary code suggestions to speed the initial double-coding phase described in PLOS One.
Evidano supports iterative codebook workflows with hierarchical codes and subcodes, frequency tables, co-occurrence networks, and AI chat over your coded corpus, enabling teams to reproduce the PLOS One approach faster and with full audit trails.
Solution: protect confidentiality and support ethics
Evidano encrypts project data and provides PII redaction at transcription, matching the PLOS One ethical emphasis on pseudonymisation and secure storage of qualitative transcripts.
This enables researchers to retain analytic depth while managing participant confidentiality and facilitating ethically governed data sharing for reproducibility.
FAQ: hyperkalaemia qualitative analysis
What did the PLOS One study find about the role of newer potassium binders?
Answer: The PLOS One study found nephrologists viewed newer binders (patiromer and SZC) as better tolerated than traditional resins and as enablers of RAASi continuity.
Supporting detail: According to Gimenez-Stamminger et al., participants contrasted poor tolerability of traditional resins with improved adherence and outpatient stability after access to newer agents, and half the sample had prescribed patiromer and half SZC in the prior 12 months.
How was the qualitative analysis performed in the PLOS One study?
Answer: The PLOS One team used semi-structured interviews, verbatim transcription, and a codebook-based thematic analysis in ATLAS.ti.
Supporting detail: According to the methods, two researchers double-coded an initial subset to develop a draft codebook, reconciled discrepancies through discussion, and iteratively refined 30 codes into 15 sub-themes and five overarching themes.
Can AI tools reproduce the PLOS One codebook workflow?
Answer: Yes, AI-enabled platforms can reproduce and accelerate codebook workflows while preserving analyst oversight.
Supporting detail: The PLOS One process (pilot-testing the guide, double-coding, iterative refinement, and audit trails) maps to Evidano features such as automated transcription, AI-assisted code suggestions, hierarchical coding, and exportable audit logs that maintain methodological rigour.
How should researchers handle confidentiality when sharing qualitative excerpts?
Answer: Share de-identified excerpts only after ethical review and implement pseudonymisation and access controls, as the PLOS One authors did.
Supporting detail: According to Gimenez-Stamminger et al., full transcripts were withheld because small specialist samples risk re-identification; the authors provided anonymised excerpt tables and offered de-identified data on reasonable request subject to ethics approval.
Conclusion & Next Steps
The PLOS One qualitative study (Gimenez-Stamminger et al., published 30 July 2026) shows that nephrologists in Spain prioritise RAASi preservation, view newer potassium binders as practice-changing, and face system-level access and coordination barriers that reduce guideline-concordant care.
For qualitative researchers, reproducing that study's codebook workflow yields actionable themes that can inform policy and implementation studies; for implementation teams, measuring HRQoL and streamlining access are immediate priorities.
If you run interview-based projects and want to scale secure transcription, codebook development, and AI-assisted synthesis, consider a platform that mirrors the PLOS One analytic steps.
Next step: Try Evidano for free to import interviews, run codebook-based thematic analysis, and produce reproducible outputs suitable for publication and policy translation.