AI Methods: Qualitative Analysis of Person-Centred Leadership

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).

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).

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.

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.