Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to the PLOS One article published on July 22, 2026, a University of Gothenburg six-month educational programme on person-centred leadership was offered to 80 leaders in 2022 and later evaluated using in-depth interviews. This post explains the study and shows how AI-enabled qualitative research tools can accelerate thematic synthesis, quote extraction, and the translation of participant narratives into actionable recommendations for programme designers and evaluators.
Key Takeaways
The PLOS One evaluation shows that participation in a six-month person-centred leadership programme was experienced to influence self-leadership, team-leadership, and workforce development when organisational preconditions were met, according to the PLOS One article.
- 13 leaders were purposefully interviewed between 27 January and 16 March 2023, with interviews lasting 40 to 65 minutes and a mean duration of 52 minutes, as reported in PLOS One on July 22, 2026.
- The leadership programme admitted 80 participants in 2022 and ran six modules over six months, according to the PLOS One study published July 22, 2026.
- The study identified three development visions (Live as you learn, Strive for equal relations, and Enable co-creation) which were broken into nine sub-categories, according to Klinga et al., PLOS One, July 22, 2026.
- Participants reported that practical, workplace-based assignments and continuous managerial support were necessary preconditions for sustained change, according to the PLOS One article.
What happened and how the study measured change
Answer: The PLOS One study used a qualitative exploratory design with individual interviews to capture leaders' experiences of change after a leadership programme.
According to the PLOS One article published on July 22, 2026, the University of Gothenburg Centre for Person-Centred Care (GPCC) and the Swedish Association of Health Professionals delivered a blended six-module programme in 2022 to 80 admitted leaders.
According to the PLOS One report, researchers purposefully sampled 13 programme completers and conducted digital interviews between 27 January and 16 March 2023, then applied conventional content analysis with latent interpretation framed by three analytical tracks: self-leadership, team-leadership, and workforce development.
According to Klinga et al., trustworthiness was addressed through collaborative coding, reflexivity, and adherence to the COREQ checklist, as reported in PLOS One on July 22, 2026.
Findings snapshot
| Date or period | Metric | Value | Implication |
|---|---|---|---|
| 2022 | Programme admissions | 80 leaders | Large cohort available for workplace-based learning and local implementation projects |
| 27 Jan–16 Mar 2023 | Interviews conducted | 13 leaders, mean 52 min | In-depth, purposive qualitative sample capturing diverse leadership contexts |
| July 22, 2026 | Article published | PLOS One | Peer-reviewed dissemination of qualitative evaluation and methods |
| 6 months | Programme length | Six modules, blended learning | Timeframe supports reflection, workplace assignments, and implementation planning |
Implications for qualitative researchers and programme evaluators
Answer: The PLOS One study demonstrates that interview-based evaluations can surface both behavioural shifts and contextual preconditions required for sustainable leadership change.
According to the PLOS One article, evaluators should measure not only self-reported learning but also organisational preconditions such as managerial support and time for coaching, because participants reported that changes depended on these factors.
According to Klinga et al., evaluators benefit from integrating workplace assignments into curricula, because participants credited workplace-based tasks with enabling translation of theory into practice.
According to PLOS One, including patients and relatives early yields more authentic co-creation, because participants stated that without patient involvement, workforce development could not be fully person-centred.
How Evidano helps translate this study into better evaluations
Problem: scattered qualitative data, slow synthesis
Solution: Evidano automates ingestion and thematic synthesis of interview transcripts, supporting the three analytical tracks used in the PLOS One study: self-leadership, team-leadership, and workforce development.
Evidano can import transcripts, tag quotes by speaker and timestamp, and produce code frequency tables that accelerate conventional content analysis.
Problem: extracting quotable evidence for reports
Solution: Evidano identifies illustrative verbatim quotations and links them to coded themes so evaluators can report participant voices like the PLOS One study does, with attributions such as "Interview 10" or "Interview 1" retained.
This preserves audit trails required for trustworthiness while speeding report drafting.
Problem: linking programme activities to contextual preconditions
Solution: Evidano supports cross-segment analysis to compare responses by role, region, or programme module, enabling evaluators to test claims such as those in PLOS One about managerial support and workplace assignments.
This feature helps reveal which preconditions (time to coach, managerial backing) correlate with reported behaviour change.
Relevant Evidano features
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents, and the platform supports transcription, thematic coding, and AI chat across your dataset. See Evidano features for a contextual overview.
FAQ: person-centred leadership programme evaluation
How many leaders participated in the study interviews and when were they interviewed?
Answer: Thirteen leaders were interviewed between 27 January and 16 March 2023.
According to the PLOS One article published July 22, 2026, the 13 interviews lasted 40 to 65 minutes with a mean of 52 minutes, providing in-depth qualitative data for content analysis.
What were the main outcomes the programme influenced?
Answer: The study reports perceived development in three areas: self-leadership, team-leadership, and workforce development.
According to Klinga et al., PLOS One, July 22, 2026, these outcomes were summarized as the visions Live as you learn, Strive for equal relations, and Enable co-creation, and were detailed into nine sub-categories.
Can AI tools replicate the conventional content analysis used in the PLOS One study?
Answer: AI tools can accelerate coding and pattern detection but should be used alongside human interpretation for latent-level insights.
According to best-practice recommendations echoed by the PLOS One authors, human-led reflexivity and negotiated consensus in coding are essential to preserve credibility and confirmability in interpretive work.
What quotes from participants best illustrate the study findings?
Answer: Participants offered concise quotes that capture reflection, language, and application.
According to Klinga et al., PLOS One, one participant said, "You get the chance to pause and reflect in a way that you don’t usually do. And to reflect on precisely this: How am I as a leader? " (Interview 10). Another participant said, "It’s about using words without defining what we mean by those words" (Interview 5).
Conclusion & Next Steps
The PLOS One qualitative evaluation published July 22, 2026 demonstrates that a six-month person-centred leadership programme can change leaders' practices when workplace preconditions are met, but sustained evaluation requires tracking context as well as reported behaviours.
Qualitative researchers and programme evaluators can speed synthesis and preserve credibility by combining human-led interpretive methods with AI tools that extract quotes, map themes, and run cross-segment comparisons.
If you run leadership evaluations and want to automate transcription, thematic coding, and cross-segment analysis while keeping full audit trails, explore how Evidano supports interview-based programme evaluations and reporting, then Try Evidano for free.