ArticleScandinavian journal of caring sciences2025
Measuring the Science of Caring: A Patient-Centred Predictive Model for the Caring Interaction.
Article in Scandinavian journal of caring sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Measuring the Science of Caring: A Patient-Centred Predictive Model for the Caring Interaction.Scandinavian journal of caring sciences · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
backgroundThe nurse-patient relationship is central to quality nursing care, yet its impact remains difficult to quantify. While existing models assess caring competencies from the perspective of nursing students and professionals, there is a lack of validated instruments incorporating direct patient feedback.
objectiveThis study aimed to develop and validate the Nursing Interaction in Caring_Competence Assessment-Patient (NIC_CA-Patient) tool, a patient-centred instrument designed to measure caring interaction in nursing practice and establish a predictive model of its development from the patient's perspective.
methodsA cross-sectional study was conducted in eight hospitals within the Andalusian Health Care System, involving 1060 patients admitted to internal medicine units. The NIC_CA-Patient tool was adapted from the Caring Nurse-Patient Interactions (CNPI) scale and validated through exploratory factor analysis (EFA) and partial least squares structural equation modelling (PLS-SEM).
resultsThe final model identified three key dimensions-therapeutic relationship, problem management and adaptation-explaining 79% of the variance in patient-reported experiences. The predictive model demonstrated strong reliability (Cronbach's α = 0.97) and excellent model fit indices (SRMR = 0.03, AVE > 0.7).
conclusionThe NIC_CA-Patient tool provides a quantifiable and predictive measure of caring interaction from the patient's perspective. Its implementation in clinical practice and research can enhance patient-centred care by identifying relational factors that improve health outcomes and patient experience.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.