RT Journal Article
T1 Understanding the nurse-patient relationship: A predictive approach to caring interaction
A1 Allande Cussó, Regina
A1 Fernández García, Elena
A1 Gómez Salgado, Juan
A1 Porcel Gálvez, Ana María
AB Background: Caring nurse-patient interaction has been linked to improvements in patient health outcomes, empowerment, and security. Aim: To design a predictive model of caring interaction, based on the development of the Nursing Inter- actions in Caring _ Competence Assessment for Nursing Professionals (NIC_CA-Prof) tool. Methods: A cross-sectional psychometric study was carried out. Descriptive data analysis and exploratory factor analysis were performed. To design the predictive model, partial least squares regression analysis was used in consistent mode. Findings: The sample consisted of 544 nurses with a mean age of 45.9 years old (Standard Deviation = 10.7 years). Exploratory factor analysis yielded 19 items and four factors. A predictive model of four linearly related composites was validated: basic nursing care, therapeutic relationship, problem management, and adaptation. Conclusions: The predictive model provides a visual depiction of the linear and temporal development of the phases of caring interaction, showing the effect of one phase on the next.
PB Elsevier
SN 1322-7696
YR 2022
FD 2022-10-03
LK http://hdl.handle.net/10272/21246
UL http://hdl.handle.net/10272/21246
LA eng
NO Allande-Cussó, R.; Fernández-García, E.; Gómez-Salgado, J.; Porcel-Gálvez, A.M. Understanding the nurse-patient relationship: A predictive approach to caring interaction, Collegian. 2022;29(5):663-670. https://doi.org/10.1016/j.colegn.2022.04.003.
NO Funding for open access charge: Universidad de Huelva / CBUA
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026