Projects per year
Abstract
Background: The Fundamentals of Care (FoC) Framework emphasises that care quality depends not only on clinical tasks but also on interpersonal relationships and the organisational context in which care is delivered. Although patient-reported outcome and experience measures (PROMs and PREMs) have gained relevance in capturing these aspects, tools based on the FoC Framework remain limited in non-English-speaking settings. Objectives: To psychometrically validate the Spanish version of the FoC Intelligence Modelling Tool (FoC-IMT) and explore predictive relationships among the FoC dimensions: Context, Relationship and Integration of Care. Methods: A cross-sectional study was conducted with 1053 hospitalised patients in southern Spain. Exploratory and confirmatory factor analyses (EFA and CFA) were performed, alongside a mediation analysis using partial least squares structural equation modelling (PLS-SEM) to examine directional relationships among constructs. Results: EFA and CFA supported a two-factor model—Context and Integration of Care—with excellent internal consistency (Cronbach's α and McDonald's ω = 0.97). CFA showed a moderate correlation between these factors. However, PLS-SEM mediation analysis revealed a directional model in which Context influences Relationship (β = 0.39), which in turn predicts Integration of Care (β = 0.89). Although embedded within Integration under CFA, the Relationship showed independent predictive power in PLS-SEM, validating its conceptual importance. This aligns with the foundational assumption of the FoC Framework: that caregiving quality is shaped not only by tasks or procedures but by the broader environment and interpersonal relationships in which care occurs. Conclusions: The Spanish FoC-IMT Tool is a valid, reliable instrument for assessing person-centred care. The predictive model highlights the pivotal role of therapeutic relationships in delivering integrated, high-quality care. Patient or Public Contribution: Hospitalised patients contributed directly by responding to the FoC-IMT survey, thereby shaping the psychometric validation and predictive model. Patients were not involved in the study design, conduct or manuscript preparation.
| Original language | English |
|---|---|
| Pages (from-to) | 7200-7210 |
| Number of pages | 11 |
| Journal | Journal of Advanced Nursing |
| Volume | 82 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Jul 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- fundamentals of care
- nurse–patient relationship
- patient experience
- patient-centred care
- psychometrics
- structural equation modelling
- Prediction modelling
Fingerprint
Dive into the research topics of 'How Context Shapes Person-Centred Fundamental Care Through Nurse–Patient Relationships: Validation of the FoC Intelligence Modelling Tool and Predictive Pathway Analysis'. Together they form a unique fingerprint.Projects
- 1 Active
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safe@home: effectiveness and cost effectiveness of telemonitoring and virtual care supported by primary care for people living with chronic disease in low socioeconomic neighbourhoods for reducing ambulance ramping, readmission and GP clinic block.
Clark, R. (Chief Investigator (Project Lead)), Kaambwa, B. (Chief Investigator), Cleland, J. (Chief Investigator), Inglis, S. (Chief Investigator), Tirimacco, R. (Chief Investigator), Maddison , J. (Chief Investigator), George, S. (Chief Investigator), Tideman, P. (Chief Investigator), Beleigoli, A. (Chief Investigator), Bulamu, N. B. (Chief Investigator), Chaudry, A. (Associate Investigator), Gulyani, A. (Associate Investigator), Pinero de Plaza, M. A. (Associate Investigator), Morton, E. (Associate Investigator), Dawes, N. (Associate Investigator), Briggs, J. (Associate Investigator), Lyon-Green, J. (Associate Investigator), Tallboy, T. (Associate Investigator), Taylor, A. (Associate Investigator) & Okonjo, B. (Associate Investigator)
1/05/23 → 30/04/27
Project: Research
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Beyond Understanding: How Enjoyment and Preference Drive Emergency Clinicians' Adoption of RAPIDx AI
Pinero de Plaza, M. A., 24 Jul 2026, p. 24-25. 2 p.Research output: Contribution to conference › Poster › peer-review
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The 2026 challenge: turning wicked problems into living evidence for care, health innovation, and evaluation in a post-truth political economy
Pinero de Plaza, M. A., 18 Feb 2026, Springer Nature.Research output: Other contribution
Open Access -
Why and How Health Research Must Escape Linear Thinking: Linear systems can turn complexity into exclusion. Public health research needs methods that can see context, relationships, power and lived experience.
Pinero de Plaza, M. A., 30 Jun 2026, Springer Nature.Research output: Other contribution
Open Access
Prizes
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CSIRO On Prime Innovation Reward 2024
Pinero de Plaza, M. A. (Recipient), Marmolejo Ramos, F. (Recipient) & Morton, E. (Recipient), 20 Nov 2024
Prize
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Wiley Top Cited Article 2025 recognition for “Care biography: A concept analysis”
Pinero de Plaza, M. A. (Recipient), 2025
Prize
File
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Citation of First Nations continuity of care research in the Australian Government National Strategic Framework for Chronic Conditions 2026–2035
Pinero de Plaza, M. A. (Participant)
2026 → 2035Activity: Other activity types › Converted from research output
File -
University of the Third Age (U3A)
Pinero de Plaza, M. A. (Visiting researcher)
12 Feb 2026Activity: Visiting an external institution types › Visiting an external academic institution
File -
Adaptive Policy Systems Roundtable – Sydney Policy Lab and Charles Perkins Centre
Pinero de Plaza, M. A. (Author)
31 Mar 2026Activity: Talk or presentation types › Invited talk
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