This post unpacks the PLOS One study on person-centred leadership qualitative analysis for qualitative researchers and UX or health services teams who must evaluate leadership programmes. The primary keyword "person-centred leadership qualitative analysis" appears throughout to help practitioners find concrete methods, dates, and statistics. According to the PLOS One study (Klinga et al., published July 22, 2026), leaders reported changes across self-leadership, team-leadership, and workforce development after a six-month educational programme, and the study used individual interviews and conventional content analysis to reach its conclusions. This post shows how to replicate rigorous, AI-enabled qualitative analysis of similar programmes and how to extract usable metrics and quotes for stakeholders.
Key Takeaways
The PLOS One study shows that a six-month person-centred leadership programme can produce self-reported changes in leadership practice across three tracks: self-leadership, team-leadership, and workforce development, according to Klinga et al. in PLOS One (published July 22, 2026).
- The study interviewed 13 leaders in digital face-to-face interviews held between 27/01/2023 and 16/03/2023, as reported in PLOS One on July 22, 2026.
- The programme admitted 80 leaders in 2022 and ran six modules combining digital, in-person, and workplace-based activities, according to PLOS One (Klinga et al., 2026).
- Interviews lasted 40–65 minutes (mean 52 minutes), transcribed verbatim and analysed using conventional content analysis, as described in the PLOS One methods section.
- Participants summarised the programme impact in participant language: one observed, "You get the chance to pause and reflect in a way that you don’t usually do" (participant, Interview 10; PLOS One, July 22, 2026).
What happened and how it was measured
Answer: The PLOS One study explored leaders’ experiences after a six-month educational programme and measured change through interviews and conventional content analysis.
According to PLOS One (Klinga et al., published July 22, 2026), the University of Gothenburg Centre for Person-Centred Care and the Swedish Association of Health Professionals delivered a blended six-module programme in 2022 that combined flipped-classroom preparation, workshops, and workplace assignments.
According to PLOS One (Klinga et al., 2026), the study purposefully sampled 13 programme completers and conducted individual interviews between 27/01/2023 and 16/03/2023; interview lengths ranged 40–65 minutes with a mean of 52 minutes and were transcribed verbatim for conventional content analysis.
According to PLOS One (Klinga et al., 2026), analysis moved from descriptive codes to three analytical tracks (self-leadership, team-leadership, workforce development) and culminated in the overarching theme "Developing person-centred leadership practices."
Findings snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| 2022 | Programme admissions | 80 leaders admitted | Programme scale large enough for workplace-based modules, per PLOS One (Klinga et al., 2026) |
| 27/01/2023–16/03/2023 | Interviews conducted | 13 leaders interviewed | Qualitative depth sufficient for information power, per PLOS One (Klinga et al., 2026) |
| Jan–Mar 2023 | Interview duration | 40–65 minutes (mean 52 min) | Rich individual narratives available for thematic coding, per PLOS One (Klinga et al., 2026) |
| July 22, 2026 | Article publication | PLOS One (Klinga et al.) published | Peer-reviewed report of self-reported leadership changes across three tracks |
Implications for qualitative researchers and evaluators
Answer: The PLOS One findings imply that programme evaluation should measure changes at self, team, and workforce levels and capture preconditions for continuous learning.
According to PLOS One (Klinga et al., 2026), capturing preconditions such as managerial support, time for coaching, and workplace involvement is essential because participants reported that outcomes depended on those contextual factors.
According to PLOS One (Klinga et al., 2026), use of workplace-based assignments and peer reflection supported transfer to practice, so researchers should include artefacts (implementation plans, reflective journals) alongside interviews when evaluating leadership change.
According to the World Health Organization (WHO, 2015), people-centred care requires system-level alignment; researchers should therefore triangulate leader reports with employee and patient perspectives and with documented workplace changes. See the WHO strategy: WHO global strategy on people-centred and integrated health services.
How Evidano helps: from interview to evidence
Evidano definition and data handling
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
According to the PLOS One study (Klinga et al., 2026), rigorous transcription, de-identification, and systematic coding supported trustworthiness; Evidano supplies automated transcription with PII redaction and searchable transcripts to replicate that pipeline. See Evidano features.
Problem: verbatim transcripts and time-consuming coding
Solution: Evidano’s transcription and thematic analysis reduce manual effort by producing time-stamped transcripts, speaker labels, and auto-generated code suggestions that you can accept, edit, or reject, matching the conventional content analysis workflow used in PLOS One (Klinga et al., 2026).
Solution: Evidano can ingest workplace artefacts (implementation plans and reflective journals) alongside interview transcripts to enable cross-source triangulation recommended by the PLOS One authors.
Problem: tracing preconditions and cross-level effects
Solution: Evidano’s cross-segment analysis and co-occurrence network visualizations let you measure associations between preconditions (for example, managerial support) and reported outcomes across self, team, and workforce levels, following the three analytical tracks in the PLOS One study.
Problem: extracting quotable evidence for stakeholders
Solution: Evidano preserves verbatim quotes with provenance (speaker, timestamp), so you can build evidence packs for leadership teams and patients that mirror the illustrative quotations used in PLOS One (Klinga et al., 2026).
FAQ: person-centred leadership qualitative analysis
How many people did the PLOS One study interview and when were the interviews done?
Answer: The PLOS One study interviewed 13 leaders in interviews conducted between 27/01/2023 and 16/03/2023, as reported in PLOS One (Klinga et al., published July 22, 2026).
Supporting detail: The study used purposive sampling to reach variation across leadership roles and settings, and interviews lasted 40–65 minutes (mean 52 minutes), per PLOS One (Klinga et al., 2026).
What methods did the study use to analyze leadership practice changes?
Answer: The study used conventional content analysis with an interpretative step linking categories to three leadership concepts (self, team, workforce), according to PLOS One (Klinga et al., 2026).
Supporting detail: The authors moved from descriptive codes to categories and an overarching theme, and they established trustworthiness through collaborative coding and reflexivity, as described in the methods section.
Which outcomes did participants report after the programme?
Answer: Participants reported increased self-reflection, a shared language for person-centredness, enhanced confidence in team-leadership, and steps toward co-creation in workforce development, as summarized in PLOS One (Klinga et al., 2026).
Supporting detail: The study grouped these outcomes under three visions: Live as you learn, Strive for equal relations, and Enable co-creation, and it highlighted the need for organizational preconditions to sustain change.
Can AI tools replicate this study’s analytic rigor?
Answer: AI tools can accelerate transcription, coding, and cross-segment analysis, but human oversight is required to preserve interpretive validity, as implied by the PLOS One emphasis on reflexivity and negotiated consensus (Klinga et al., 2026).
Supporting detail: The PLOS One study documented collaborative coding and reflexive author discussions to ensure credibility; AI-enabled workflows should include audit trails and researcher review to match that standard.
Conclusion & Next Steps
The PLOS One study (Klinga et al., published July 22, 2026) documents self-reported leadership changes across self-leadership, team-leadership, and workforce development and stresses the importance of organisational preconditions for sustained change.
Researchers evaluating similar programmes should collect multi-source evidence (interviews, workplace artefacts, patient and employee perspectives) and report dates, sample sizes, and verbatim quotations for transparency, following the PLOS One example.
If you want to run an AI-enabled qualitative pipeline that covers transcription, thematic coding, cross-segment analysis, and quotable evidence packs, learn how our platform maps to these needs in Evidano features.
Next step: Try Evidano for free.