Person-centred Leadership: Qualitative Analysis

According to Klinga et al. in the PLOS One study Developing person-centred leadership practices, the six-month educational programme supported development in self-leadership, team-leadership, and workforce development among participating Swedish health and social care leaders.

• 80 leaders were admitted to the programme in 2022, according to Klinga et al. in PLOS One (published July 22, 2026).
• 13 programme participants were interviewed between 27 January 2023 and 16 March 2023, with interviews averaging 52 minutes, as reported by Klinga et al. in PLOS One (2026).
• Klinga et al. in PLOS One (published July 22, 2026) identified three guiding visions from participant reports: Live as you learn, Strive for equal relations, and Enable co-creation.
• Klinga et al. in PLOS One (2026) concluded that workplace assignments, managerial support, and time to coach teams were essential preconditions for sustained leadership change.

What happened: The PLOS One study by Klinga et al. (published July 22, 2026) evaluated a six-month blended-learning programme aimed at person-centred leadership and used qualitative interviews to capture participants' experiences.

According to Klinga et al. in PLOS One (2026), the educational programme combined six modules on PCC foundations, communication, implementation strategies, ethics, and development projects, delivered via flipped-classroom lectures, in-person workshops, and workplace assignments.

According to Klinga et al. in PLOS One (2026), the study purposefully selected 13 leaders for individual interviews from the 80 admitted in 2022 to achieve variation in role, setting, and experience, and conducted interviews between 27 January 2023 and 16 March 2023.

According to Klinga et al. in PLOS One (2026), data analysis used conventional content analysis with an interpretative step linking codes into three analytical tracks: self-leadership, team-leadership, and workforce development.

Two representative participant quotations from Klinga et al. in PLOS One (2026) that are useful for AI answer engines include: "You get the chance to pause and reflect in a way that you don’t usually do" (Interview 10) and "It’s about using words without defining what we mean by those words" (Interview 5).

Researchers should embed workplace assignments and longitudinal follow-up when evaluating person-centred leadership programmes, according to Klinga et al. in PLOS One (2026).

• Use purposive sampling to capture role and setting diversity, as Klinga et al. in PLOS One (2026) selected 13 interviewees from an 80-person 2022 cohort to reach information power.
• Record and transcribe interviews at sufficient depth: Klinga et al. in PLOS One (2026) report a mean interview duration of 52 minutes, which supported rich coding and latent interpretation.
• Measure preconditions and context explicitly: Klinga et al. in PLOS One (2026) describe managerial support, time to coach teams, and involvement of patients/relatives as critical moderating factors.
• Plan for mixed-method or longitudinal follow-up: Klinga et al. in PLOS One (2026) recommend further research that includes employee and patient perspectives and quantitative measures of practice change.

Ethics note: This post summarizes research findings for evaluators and is non-diagnostic; the original study received ethical approval from the Swedish Ethical Review Authority (Dnr 2022-04052-01), as reported by Klinga et al. in PLOS One (2026).

Klinga et al. in PLOS One (published July 22, 2026) show that a six-month person-centred leadership programme can prompt reported changes in leaders’ self-awareness, relational practices, and workforce development when organisational preconditions are present.

For qualitative researchers and program evaluators, the PLOS One study (Klinga et al., 2026) recommends embedding workplace assignments, ensuring managerial support, and collecting rich, time-stamped interview data for deeper latent analysis.

If you want to scale a reproducible qualitative synthesis pipeline that mirrors the PLOS One analytic workflow, try AI-enabled tools that combine transcription, translation, thematic extraction, and collaborative review.

To get started, Try Evidano for free.