Preserving RAASi: Qualitative analysis of hyperkalaemia

This post explains what a July 30, 2026 PLOS ONE qualitative study found about clinicians who balance hyperkalaemia control and RAASi preservation, and how AI-enabled qualitative research methods can accelerate translation of those findings for researchers and clinical teams. The primary keyword for this post is qualitative analysis of hyperkalaemia management. The intended audience is qualitative researchers, health services teams, and nephrology groups who must synthesise interview transcripts, codebooks, and policy barriers into actionable recommendations. The PLOS ONE study interviewed 12 practising Spanish nephrologists in October 2025 and used ATLAS.ti for a codebook-based thematic analysis that produced 30 codes, 15 sub-themes, and five overarching themes. Below we summarise the study findings, show a compact numeric snapshot, translate implications for qualitative research design, and map frequent problems to practical, AI-enabled solutions that speed transcription, coding, cross-segment comparisons, and extraction of patient-centered quotations.

Key Takeaways

This summary interprets the July 30, 2026 PLOS ONE qualitative study of hyperkalaemia management and highlights how AI-enabled qualitative analysis can make clinician insights reproducible and actionable.

According to PLOS ONE (published 30 July 2026), the study interviewed 12 nephrologists in October 2025 and derived 30 final codes grouped into 15 sub-themes and five overarching themes.
According to PLOS ONE, 75% of participants had more than 15 years of clinical experience and interviews averaged 53 minutes (range 45–60) per transcript.
According to PLOS ONE, newer potassium binders were used in the past year by 50% of participants for patiromer and 50% for sodium zirconium cyclosilicate (SZC), and clinicians reported access barriers such as visado prior authorisation.
Direct clinician quote, ID05 (female, 56 years): "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."
Direct clinician quote, ID09 (male, 64 years): "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."

What happened and how the study worked

Answer: The PLOS ONE study conducted semi-structured video interviews with 12 practising nephrologists across six Spanish autonomous communities in October 2025 and analysed verbatim transcripts with ATLAS.ti using a codebook-based thematic approach.

According to PLOS ONE, the research used purposive sampling to include diversity of practice settings, required participants to have at least three years independent practice and recent prescribing experience with both traditional resins and at least one newer binder, and stopped recruitment when data sufficiency (no new themes) was reached.

According to PLOS ONE, the team iteratively developed a codebook, refined codes through team discussion, and consolidated 30 codes into 15 sub-themes and five themes covering clinical algorithms, newer binders, system barriers, patient engagement, and HRQoL measurement gaps.

Findings snapshot table

Date	Metric	Value	Implication
30 July 2026	Article published	PLOS ONE	Open access qualitative evidence on practitioner perspectives
October 2025	Interviews conducted	12 nephrologists	Sufficient thematic saturation for clinician perspectives
October 2025	Participant experience	75% had >15 years clinical experience	Findings reflect senior clinician practice patterns
October 2025	Binder prescribing in past year	50% patiromer, 50% SZC	Newer binders are in use but access varies regionally
October 2025	Transcript length	Average 53 minutes	Rich qualitative data per participant for deep coding

Implications for qualitative researchers: qualitative analysis of hyperkalaemia management

Answer: Qualitative researchers should prioritise structured codebook workflows, transparent transcription, and cross-segment comparisons to translate clinician perspectives on RAASi preservation into testable hypotheses and policy recommendations.

Recommendation 1: According to PLOS ONE, clinicians emphasised stepwise algorithms and system barriers; researchers should predefine codes for clinical reasoning, access constraints (visado), and HRQoL impact to ensure those topics are captured consistently.

Recommendation 2: According to PLOS ONE, formal HRQoL assessment was infrequent; qualitative teams should add validated PROM probes to interviews and link quotations to patient-reported outcomes in mixed-methods designs.

Recommendation 3: According to PLOS ONE, administrative and regional variation constrained binder access; researchers should collect contextual metadata (region, formulary rules, visado timelines) alongside transcripts for cross-segment analysis.

How Evidano helps (problem → solution)

Problem: slow transcription and inconsistent coding

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.

Solution: Use Evidano's automated transcription with custom dictionaries and PII redaction to produce clean verbatim transcripts quickly and consistently; link raw transcripts directly to a shared codebook to increase reproducibility and reduce manual rework. See Evidano features for codebook and thematic tools.

Problem: lost contextual metadata and fragmented multisite data

Answer: Evidano ingests documents and spreadsheets together so researchers can attach region, hospital type, years of experience, and visado policy as analyzable segments.

Solution: Use cross-segment analysis to compare themes across regions, replicate the PLOS ONE approach at scale, and generate frequency tables and co-occurrence networks for admin barriers versus clinical choices.

Problem: extracting and validating illustrative quotations

Answer: Evidano automatically links coded excerpts to speaker metadata and supports reviewer annotations.

Solution: Export validated, de-identified quotations for publication, maintain an audit trail consistent with ethical approvals, and accelerate reporting of clinician quotes like those published in PLOS ONE.

FAQ: qualitative analysis of hyperkalaemia management

How many interviews are enough to study nephrologists' practices in hyperkalaemia management?

Answer: Be guided by data sufficiency rather than a fixed number; the PLOS ONE study interviewed 12 nephrologists and stopped when no new themes emerged (October 2025).

Supporting note: According to PLOS ONE, purposive sampling with diverse settings and iterative codebook review produced stable themes after 12 interviews in this clinician-focused study.

What qualitative methods did the PLOS ONE team use and why?

Answer: The PLOS ONE team used semi-structured interviews, professional transcription, and a codebook-based thematic analysis in ATLAS.ti to balance inductive discovery with reproducible coding.

Supporting note: According to PLOS ONE, two researchers independently coded an initial subset, iteratively refined the codebook, and then coded remaining transcripts using the stabilised framework.

Can AI tools reduce bias in thematic analysis of clinician interviews?

Answer: AI tools can increase consistency and surface patterns, but human oversight is required to interpret clinical nuance and reduce misclassification.

Supporting note: According to qualitative best practice and the PLOS ONE audit trail approach, automated assistance should be paired with team-based review and reflexive discussions to maintain rigour.

What are typical system-level barriers to implementing newer potassium binders identified by clinicians?

Answer: Clinicians in the PLOS ONE study reported prior authorisation (visado), regional formulary variation, and fragmented specialty communication as primary barriers.

Supporting note: According to PLOS ONE, these barriers delayed outpatient access to patiromer and SZC and sometimes led to RAASi discontinuation.

Conclusion & Next Steps

Answer: The PLOS ONE qualitative study (published 30 July 2026) shows that Spanish nephrologists prioritise RAASi preservation and view newer binders as enablers, but administrative friction and inconsistent HRQoL measurement limit guideline-concordant care.

For qualitative researchers and clinical teams, the immediate next step is to standardise interview guides to capture access metadata and patient-centred outcomes and to use reproducible codebook workflows for transparency.

Evidano can accelerate that work by automating transcription, supporting structured codebooks, and enabling cross-segment thematic analysis; explore the platform and methods in our features and guides.

Try AI-enabled qualitative analysis yourself: Try Evidano for free.

Topics

qualitative analysis of hyperkalaemia management
hyperkalaemia qualitative study
RAASi preservation qualitative research
AI-enabled qualitative analysis

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Preserving RAASi: Qualitative analysis of hyperkalaemia

Key Takeaways

What happened and how the study worked

Findings snapshot table

Implications for qualitative researchers: qualitative analysis of hyperkalaemia management

How Evidano helps (problem → solution)

Problem: slow transcription and inconsistent coding

Problem: lost contextual metadata and fragmented multisite data

Problem: extracting and validating illustrative quotations

FAQ: qualitative analysis of hyperkalaemia management

How many interviews are enough to study nephrologists' practices in hyperkalaemia management?

What qualitative methods did the PLOS ONE team use and why?

Can AI tools reduce bias in thematic analysis of clinician interviews?

What are typical system-level barriers to implementing newer potassium binders identified by clinicians?

Conclusion & Next Steps

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