Primary readers: qualitative researchers, implementation leads, and health services evaluators seeking reproducible methods to analyse leadership programme interviews. The primary keyword for this post is person-centred leadership programme evaluation, and this post explains the PLOS One study findings, the exact interview data points, and how AI-enabled qualitative research can accelerate trustworthy synthesis. According to PLOS One (published July 22, 2026), the study explored leaders’ experiences after a six-month educational programme on person-centred leadership and used individual interviews analysed with conventional content analysis.
Key Takeaways
According to PLOS One (published July 22, 2026), a six-month person-centred leadership programme was experienced by participants to foster three development tracks: self-leadership, team-leadership, and workforce development.
- The programme admitted 80 leaders in 2022, according to PLOS One (2026), and used blended learning with workplace assignments.
- The study interviewed 13 participants between 27/01/2023 and 16/03/2023, with interviews lasting a mean of 52 minutes, as reported in PLOS One (2026).
- The PLOS One (2026) analysis identified three visions (Live as you learn, Strive for equal relations, and Enable co-creation) broken into nine sub-categories that describe concrete leadership behaviours.
- A participant in the study said, “You get the chance to pause and reflect in a way that you don’t usually do” (study participant, Interview 10), quoted in PLOS One (2026).
What happened and how it was measured
Answer: The PLOS One study evaluated how leaders experienced changes after participating in a six-month person-centred leadership programme by collecting first-person interview data and applying conventional content analysis.
According to PLOS One (published July 22, 2026), the University of Gothenburg Centre for Person-Centred Care and the Swedish Association of Health Professionals delivered the six-module programme to 80 admitted leaders in 2022.
According to PLOS One (2026), the researchers purposefully sampled 13 programme completers and conducted individual digital interviews between 27/01/2023 and 16/03/2023 that lasted 40–65 minutes (mean 52 minutes).
According to PLOS One (2026), transcripts were analysed using conventional content analysis with an interpretative step linking categories to an overarching theme across three analytical tracks: self-leadership, team-leadership, and workforce development.
According to PLOS One (2026), trustworthiness was addressed through collaborative coding, peer debriefing, reflexivity, an audit trail, and adherence to COREQ reporting standards.
Findings snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| 2022 | Programme admissions | 80 leaders admitted | Programme scale supports workplace-based assignments and peer groups, per PLOS One (2026). |
| 27/01/2023–16/03/2023 | Interviews conducted | 13 participants, mean 52 min | Qualitative sample reached information power for in-depth experiential analysis, per PLOS One (2026). |
| July 22, 2026 | Article published | PLOS One journal article | Peer-reviewed publication provides a citable qualitative evaluation for implementation work. |
Implications for qualitative researchers and implementation teams
Answer: The PLOS One study shows that qualitative interview data can reveal the behavioural pathways leaders use to translate programme learning into practice, and researchers should design data collection to capture those pathways explicitly.
According to PLOS One (2026), participants reported changes at three levels (self, team, and workforce) so qualitative protocols should include questions that probe personal reflection, team interactions, and structural preconditions for change.
According to PLOS One (2026), the study found that preconditions such as ongoing managerial support and time to coach teams influenced whether programme learning persisted; researchers should therefore gather contextual covariates during interviews or via linked documents.
According to PLOS One (2026), reflexive exercises and workplace assignments accelerated change; evaluators should capture concrete artefacts such as implementation plans, meeting notes, and coaching records to triangulate interview claims.
How Evidano Helps: AI-enabled qualitative research for leadership programme evaluation
Problem: Interview triage and indexing is slow
Answer: Evidano accelerates indexing and triage of interview transcripts so teams can prioritise analytic effort where it matters.
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Evidano’s transcription with custom dictionaries and PII redaction turns audio into searchable text and supports rapid import of the 13 interviews the PLOS One study used, reducing manual cleanup time.
Problem: Thematic synthesis across self, team, and workforce levels is complex
Answer: Evidano generates thematic and cross-segment analyses that map codes to analytical tracks such as self-leadership, team-leadership, and workforce development.
Evidano’s thematic clustering and hierarchical code → subcode visualizations let researchers replicate the three-track interpretation used in PLOS One (2026) and test alternative clusterings efficiently.
Evidano’s cross-segment frequency analysis can quantify how often themes like “shared decision-making” or “reflective practice” appear across participant roles and settings.
Problem: Linking interview claims to workplace artefacts and timelines is hard
Answer: Evidano ingests documents and spreadsheets to connect interview quotations with implementation plans and timelines.
Evidano supports ingesting implementation plans and meeting notes, enabling researchers to triangulate the preconditions described in PLOS One (2026) such as managerial support and workplace assignments.
For platform details, see the Evidano features page.
FAQ: person-centred leadership programme evaluation
What did the PLOS One study find about how leaders change their behaviour after the programme?
Answer: The PLOS One study found that leaders reported development across self-leadership, team-leadership, and workforce development.
According to PLOS One (2026), the study described three visions (Live as you learn, Strive for equal relations, and Enable co-creation) as organizing concepts that explain how behaviour and relational practices shifted in participants' accounts.
How many people were in the study and when were interviews done?
Answer: The study interviewed 13 participants, and interviews were conducted between 27/01/2023 and 16/03/2023.
According to PLOS One (2026), the 13 interviews lasted 40–65 minutes with a mean of 52 minutes, and the programme had admitted 80 leaders in 2022.
Can AI tools reproduce the PLOS One coding approach?
Answer: Yes, AI-enabled platforms can reproduce and extend conventional content analysis workflows when used with transparent coding protocols.
According to best practices cited in PLOS One (2026), conventional content analysis begins with descriptive labels and groups codes into categories, and Evidano can assist by auto-suggesting codes, clustering similar meaning units, and generating audit trails to document analytic steps.
How should researchers capture the preconditions that influenced learning?
Answer: Researchers should capture manager support, time for coaching, and workplace assignment uptake by collecting documentary evidence alongside interviews.
According to PLOS One (2026), those preconditions were repeatedly reported by participants as determinants of whether programme learning translated into sustained practice, so evaluators should include direct questions and request implementation artefacts in their protocols.
Are the study data publicly available for re-analysis?
Answer: The primary interview data are not publicly available due to ethical restrictions, but de-identified data may be requested under conditions described by the University of Gothenburg.
According to PLOS One (2026), ethical approval (Dnr 2022-04052-01) restricts public release and requests must go through the University of Gothenburg data protection contacts listed in the article.
Conclusion & Next Steps
Answer: The PLOS One (published July 22, 2026) evaluation shows that a structured, workplace-embedded educational programme can be experienced to shift leadership across self, team, and workforce levels when organisational preconditions are present.
According to PLOS One (2026), programme features that supported change included reflective exercises, workplace assignments, peer groups, and managerial support.
Researchers planning person-centred leadership programme evaluations should capture contextual preconditions, link interview claims to workplace artefacts, and report transparent analytic audit trails to support transferability.
If your team needs faster, reproducible synthesis of interviews, implementation plans, and open-ended survey data, Try Evidano for free to accelerate thematic, frequency, and cross-segment analyses.