The development and structural validity testing of the Person-centred Practice Inventory–Care (PCPI-C)

• DOI: 10.1371/journal.pone.0303158
• Publication Date: 2024-05-10T17:38:12Z
• Authors: Brendan George Mc...; Paul F. Slater; Fiona Gilmour; Denise Edgar; Stefan Gschwenter; Sonyia McFadden; Ciara Hughes; Val Wilson; Tanya McCance
• Keywords: 360; Male; Adult; Psychometrics; Science; Q; R; Reproducibility of Results; Middle Aged; 03 medical and health sciences; Patient-Centered Care; Surveys and Questionnaires; Medicine; Humans; Female; 0305 other medical science; Research Article; Aged

Background Person-centred healthcare focuses on placing the beliefs and values of service users at centre decision-making creating context for practitioners to do this effectively. Measuring outcomes arising from person-centred practices is complex challenging often adopts multiple perspectives approaches. Few measurement frameworks are grounded in an explicit theoretical framework. Aims In study reported paper, aim was develop a valid reliable instrument measure experience care by (patients)–The Practice Inventory-Care (PCPI-C). Methods Based ‘person-centred processes’ construct established Framework (PCPF), user developed complement existing instruments informed same framework–the PCPF. An exploratory sequential mixed methods design used test instrument, working with international partners Scotland, Northern Ireland, Australia Austria. A three-phase approach adopted development testing PCPI-C: Phase 1 –Item Selection : following iterative process list 20 items were agreed upon research team use phase 2 project; –Instrument Development Refinement PCPI-C undertaken through two stages. Stage involved three rounds data collection using focus groups Ireland; distributing members global community practice review feedback, as well refinement translation one: one interviews 3 Testing Structural Validity sample 452 participants participated study. Service participating cancer UK, Malta, Poland Portugal, homes Austria completed draft PCPI-C. Data collected over 14month period (January 2021-March 2022). Descriptive measures dispersion statistics generated all help inform subsequent analysis. Confirmatory factor analysis conducted maximum likelihood robust extraction 5-factor model Results The resulted final 18 item instrument. results demonstrate that psychometrically sound supporting five-factor examines user’s perspective what constitutes care. Conclusion implications This new generic nature so can be evaluate how person-centredness perceived different contexts levels organisation. Thus, it brings organisation-wide evaluation