Qualitative analysis of person-centred leadership is essential for understanding whether educational programmes change how leaders lead in health and social care. This post is written for qualitative researchers, program evaluators, and healthcare improvement teams who want to translate interview data into actionable insights quickly. The primary keyword "qualitative analysis of person-centred leadership" appears throughout this post and the analysis below uses concrete results from a published evaluation to show how AI-supported workflows can accelerate coding, synthesis, and cross-segment comparisons while preserving rigor and confidentiality.
Key Takeaways
According to the PLOS One article published July 22, 2026, an educational programme on person-centred leadership was experienced by participants to influence self-leadership, team-leadership, and workforce development, and qualitative interview data are the central evidence for those claims (PLOS One).
- 13 leaders were interviewed three to five months after completing the six-month programme in 2022, with interviews conducted between 27/01/2023 and 16/03/2023 and a mean duration of 52 minutes, according to the PLOS One study (published 22 July 2026).
- The programme admitted 80 participants in 2022 and used six curricular modules combining flipped-classroom, workplace assignments, and reflective journals, as reported in the PLOS One article on 22 July 2026.
- Participants described three development tracks (Live as you learn, Strive for equal relations, and Enable co-creation) and said the programme worked when organisational preconditions (manager support, time to coach, and co-creation routines) were met, according to Klinga et al. in PLOS One (2026).
- Sample quotations from participants include: "You get the chance to pause and reflect in a way that you don’t usually do" (Interview 10) and "I felt empowered in the sense that I’m doing the right thing" (Interview 8), both cited in the PLOS One article (published 22 July 2026).
What happened and how the study was measured
Answer: The PLOS One study used a qualitative exploratory design to interview programme participants and analyse transcripts with content analysis to surface experienced changes in leadership practice.
According to the PLOS One article published 22 July 2026, the University of Gothenburg Centre for Person-Centred Care and the Swedish Association of Health Professionals ran a six-month leadership programme in 2022 that combined digital lectures, in-person workshops, and workplace assignments for 80 admitted leaders.
According to the PLOS One study, researchers purposefully sampled 13 programme completers and conducted individual interviews between 27/01/2023 and 16/03/2023, then transcribed audio recordings verbatim and applied conventional content analysis with interpretative linking to three leadership concepts.
According to Klinga et al. in PLOS One (22 July 2026), credibility was established by dual coding, negotiated consensus among authors, and peer debriefing; the study followed COREQ reporting guidelines and noted ethical approval (Swedish Ethical Review Board Dnr 2022-04052-01).
Findings snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| 2022 | Programme admissions | 80 leaders admitted | Programme scale sufficient to run cohort activities and workplace assignments |
| 27/01/2023–16/03/2023 | Interviews conducted | 13 leaders interviewed | Purposeful sampling produced heterogeneity across settings and roles |
| Jan–Mar 2023 | Interview length | Mean 52 minutes (range 40–65) | In-depth narratives supported rich thematic analysis |
| 22 July 2026 | Publication date | PLOS One article published | Findings available for replication and secondary analysis requests under approval |
Implications for qualitative researchers and programme evaluators
Answer: The PLOS One findings show that interview-based evaluation can detect perceived leadership change, but success depends on collecting workplace-linked assignments and ensuring organisational preconditions for learning.
According to Klinga et al. in PLOS One (published 22 July 2026), embedding practical assignments in workplace settings and involving employees, patients, and relatives early supports sustainable transformation toward person-centred care.
According to the PLOS One article, researchers emphasize the need for longer-term, multi-stakeholder evaluation to measure actual practice change beyond self-report; the authors explicitly call for quantitative follow-up studies assessing leader, employee, and patient perspectives over time.
Practical takeaway for evaluators: pair qualitative interviews with implementation-plan documents and time-stamped workplace artefacts (meeting notes, reflective journals) to enable cross-data triangulation and stronger claims about behaviour change.
How Evidano helps research teams evaluate leadership programmes
Problem: Large, messy qualitative datasets slow synthesis
Answer: AI-enabled tooling accelerates coding, pattern detection, and frequency analysis while preserving audit trails.
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Evidano ingests verbatim transcripts, workplace documents, and reflective journals, then applies thematic, content frequency, and cross-segment analyses to quickly surface patterns such as the three development tracks identified in the PLOS One study.
Evidano feature pages describe supported workflows and integrations, see Evidano features.
Problem: Manual coding threatens reliability and slows consensus
Answer: Automated code suggestion plus collaborative adjudication shortens cycles and preserves reflexive notes.
Evidano generates initial codebooks from transcripts, lets teams edit codes, and records coder agreement and a timestamped audit trail so teams can replicate the PLOS One approach of negotiated consensus and dual coding.
This approach produces the transparent audit trails and reflexive memos that qualitative researchers cite as trustworthiness criteria in the PLOS One article.
Problem: Sensitive interview data require secure workflows
Answer: Platforms must support secure upload, PII redaction, and controlled sharing for ethical compliance.
Evidano supports transcription with PII redaction, encrypted storage, and controlled team access to match ethical approvals like the Swedish study (Dnr 2022-04052-01); see Evidano data security.
FAQ: qualitative analysis of person-centred leadership
What is qualitative analysis of person-centred leadership?
Answer: Qualitative analysis of person-centred leadership is the interpretive examination of leaders' experiences, language, and practices to determine how leadership supports person-centred care.
According to the PLOS One study published 22 July 2026, this analysis links interview excerpts to broader categories such as self-leadership, team-leadership, and workforce development to create an interpretive theme structure.
Researchers typically use transcripts, reflective journals, and workplace assignments to triangulate findings and document preconditions for change.
How can AI speed up analysis of leadership programme interviews?
Answer: AI accelerates transcription, initial code generation, clustering of themes, and cross-segment frequency counts.
As shown by the PLOS One study methods (conventional content analysis with iterative coding), AI can produce a preliminary codebook and highlight co-occurrence patterns that researchers then refine, reducing time-to-insight while preserving human interpretive control.
Practical gains include faster synthesis of 40–65 minute interviews and rapid linking of themes to demographic or role-based segments.
Can AI preserve the trustworthiness standards used in the PLOS One study?
Answer: Yes, if AI workflows include human-in-the-loop coding, audit trails, and collaborative adjudication to meet criteria for credibility, dependability, confirmability, and transferability.
The PLOS One article (published 22 July 2026) stressed negotiated consensus, peer debriefing, and transparent audit trails; AI platforms should log edits, record coder agreement, and retain reflexive memos to align with these standards.
How should evaluators handle sensitive interview data ethically?
Answer: Evaluators must follow approved ethical protocols, de-identify data, and restrict access according to consent and ethics board requirements.
The PLOS One study reported ethical approval (Swedish Ethical Review Board Dnr 2022-04052-01) and restricted data access; teams should store de-identified data, perform confidentiality assessments, and obtain institutional permissions before sharing.
Conclusion & Next Steps
Answer: The PLOS One evaluation (published 22 July 2026) shows interview-based qualitative methods can reveal leader-perceived change across self-leadership, team-leadership, and workforce development when programmes include workplace assignments and organisational support.
For research teams evaluating leadership programmes, pairing rigorous qualitative methods with AI-enabled transcription, code suggestion, and cross-segment analysis shortens synthesis time while preserving trustworthiness.
If you want to prototype this workflow on your next programme evaluation, explore how automated transcription, secure data handling, and thematic extraction work together.
Start a free trial and see the workflow in action: Try Evidano for free.