This post analyzes the PLOS One study on an educational programme for person-centred leadership for researchers and health system leaders, and explains how AI-enabled qualitative analysis accelerates insight-to-action. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. The primary keyword for this post is qualitative analysis of person-centred leadership and the article reviewed is PLOS One. According to PLOS One (Klinga et al., published 22 July 2026), a six-month programme run in 2022 enrolled 80 leaders and 13 graduates were interviewed three to five months after completion in digital interviews held between 27 January and 16 March 2023. This post shows practical, reproducible ways AI-assisted thematic and cross-segment analysis can preserve participant quotations, quantify frequency, and surface preconditions for sustainable change.
Key Takeaways
According to the PLOS One study (Klinga et al., published 22 July 2026), a six-month person-centred leadership programme delivered to 80 admitted participants in 2022 produced self-reported changes among 13 interviewed leaders, reflecting developments in self-leadership, team-leadership, and workforce development.
- 13 leaders were interviewed in individual digital sessions between 27 January and 16 March 2023, with interview durations of 40–65 minutes and a mean of 52 minutes, as reported in PLOS One.
- The programme used a blended, six-module curriculum delivered in 2022 and emphasised workplace assignments, reflection, and co-creation, according to PLOS One (published 22 July 2026).
- Klinga et al. reported three development tracks (Live as you learn, Strive for equal relations, and Enable co-creation) that translated person-centred ethics into practice when organisational preconditions (time, managerial support, patient involvement) were present.
What happened and how the study measured change
Answer: The study qualitatively explored leaders’ experiences after a six-month educational programme by interviewing a purposive sample of participants and analysing transcripts with conventional content analysis.
According to PLOS One, the University of Gothenburg Centre for Person-Centred Care and the Swedish Association of Health Professionals delivered the programme in 2022 to 80 admitted leaders; the researchers purposefully sampled and interviewed 13 participants between 27 January and 16 March 2023.
According to PLOS One, interviews lasted 40–65 minutes (mean: 52 minutes) and were transcribed verbatim for conventional content analysis with analytic tracks of self-leadership, team-leadership, and workforce development.
The authors explicitly linked coded categories to an overarching theme and reported participant quotations to illustrate changes, for example: "You get the chance to pause and reflect in a way that you don’t usually do" (Interview 10, Klinga et al., PLOS One, published 22 July 2026).
Findings snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| 2022 | Programme enrolment | 80 leaders admitted | Provides a broad training cohort from which study participants were sampled |
| 27 Jan–16 Mar 2023 | Interviews | 13 leaders; 40–65 min; mean 52 min | In-depth, reflective accounts suitable for thematic analysis |
| 2022 (duration) | Programme length | Six months; six modules | Blended learning + workplace assignments enable application and reflection |
| 22 July 2026 | Publication | PLOS One article (Klinga et al.) | Peer-reviewed reporting of self-perceived leadership change and necessary preconditions |
Implications for qualitative researchers and health system leaders
How should qualitative researchers design evaluations of leadership programmes?
Answer: Embed workplace-based tasks, longitudinal follow-up, and purposive sampling to capture variation in roles and settings.
The PLOS One study used workplace assignments and interviews 3–5 months post-programme to capture enacted changes, demonstrating that combining reflection with applied projects surfaces behavioural shifts.
Researchers should plan for at least two data points post-intervention and collect duration, context, and implementation preconditions to move from self-report to measurable practice change.
What should health system leaders prioritize to make leadership training stick?
Answer: Prioritize managerial support, protected time for coaching and reflection, and early involvement of patients and employees.
Klinga et al. concluded in PLOS One (published 22 July 2026) that when preconditions such as continuous managerial support and time for coaching were present, participants more readily translated person-centred ethics into self-leadership, team-leadership, and workforce development.
Leaders should therefore pair training with structural changes that enable on-the-job practice, not just classroom learning.
How Evidano helps translate qualitative findings into action
Problem: Delay in synthesizing interview insights across settings
Answer: AI can speed coding, frequency counts, and cross-segment comparisons so teams act faster.
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Evidano ingests transcripts and workplace assignment reports, applies reproducible thematic coding, quantifies code frequency, and links illustrative quotations back to participants so programme teams can rapidly identify which preconditions correlate with reported change.
Problem: Losing quotations and context when summarizing
Answer: Preserve verbatim quotes with coded anchors and exportable evidence tables.
Evidano preserves participant quotations and maps them to categories such as the three visions reported by Klinga et al. in PLOS One, enabling transparent audit trails from raw data to interpretation.
For teams evaluating person-centred leadership programmes, this makes it easier to show which workplace assignments produced the deepest reflection and which managerial preconditions were cited most often.
Problem: Need to share reproducible reports with stakeholders
Answer: Generate exportable visuals and cross-segment tables that decision makers can use.
Evidano’s reporting features automate frequency tables and visualizations so programme leads can present evidence-based recommendations to funders and managers, building on coded results that mirror the structure used in PLOS One.
To learn about relevant features, see the Evidano features page.
FAQ: qualitative analysis of person-centred leadership
How did the PLOS One study measure leadership change after the programme?
Answer: The study used purposive individual interviews analysed with conventional content analysis to capture self-reported changes.
Klinga et al. report in PLOS One that interviews were transcribed verbatim and coded into categories and sub-categories, then linked to three analytic tracks: self-leadership, team-leadership, and workforce development.
Which outcomes emerged most strongly from participant accounts?
Answer: Participants most consistently reported enhanced self-reflection, clearer person-centred language, increased team presence, and efforts to involve employees in decision-making.
The authors identify three visions (Live as you learn, Strive for equal relations, and Enable co-creation) as the organizing themes that recurred across 13 interviewed leaders (Klinga et al., PLOS One, published 22 July 2026).
Can AI replace human coding in qualitative evaluations of leadership?
Answer: No, AI augments human interpretation by scaling coding, finding patterns, and preserving quotes, but human judgment remains essential.
Evidano’s LLMs accelerate thematic tagging and cross-segment comparisons while keeping researchers in control of codebooks, and researchers should always validate AI-suggested codes against context and theoretical frameworks as demonstrated in the careful analytic procedures of Klinga et al. in PLOS One.
Conclusion & Next Steps
Answer: The PLOS One study (Klinga et al., published 22 July 2026) shows that a structured, workplace-integrated six-month programme can shift how leaders reflect, relate, and co-create when organisational preconditions exist.
Klinga et al. reported 80 programme enrollees in 2022 and in-depth interviews with 13 leaders between 27 January and 16 March 2023 that revealed three development tracks supporting person-centred leadership.
For teams running leadership programmes, combining rigorous qualitative methods with AI-enabled synthesis shortens the time from interviews to actionable recommendations and preserves participant voice.
Start by piloting AI-accelerated thematic analysis on one module’s interview set and compare human and AI-assisted codebooks.
To try this approach, Try Evidano for free.