Development of the Nursing Relationships Scale: a measure of interpersonal approaches in nursing care

There is no comprehensive measure of dimensions describing the nursing relationship that is suitable for use with survey samples and that is focused on nursing particular types of patients. The objective of this study was to develop a measure to investigate significant dimensions of the nurse-patient relationship, the Nursing Relationship Scale (NRS).

Hypothetical cases (diabetes or mental illness) in vignette format were presented to 132 psychiatric and 76 general nurses. Thirty-four questions about the nurse-patient interaction were asked. Principal component analyses (with oblique rotation) were used to identify underlying dimensionality in the correlations of items, combining ratings from the two case vignettes. Scales were constructed from the final solution and Cronbach's alpha coefficients calculated. Subscale score variations were analysed across nurse type and patient type to examine the discriminant validity of the subscales.

Principal components analysis revealed five dimensions accounting for 52 percent of the variation within items. Four 'conceptual' factors were derived. These were labeled Caring/Supportive Approach, Nursing Satisfaction, Authoritarian Stance, and Negativity. Developed as subscales, reliability analysis indicated high internal consistency with respective alpha coefficients for the diabetes case 0.91, 0.75, 0.65, and 0.78 and for the mental illness case of 0.91, 0.75, 0.73, and 0.85. There was significant variation in scale scores according to nurse type (psychiatric versus general) and patient type (diabetes versus mental illness). Nurses endorsed more highly items from the subscales Caring/Supportive Approach and Nursing Satisfaction than items from Authoritarian Stance (with intermediate endorsement) and Negativity (lowest endorsement) subscales.

Psychometric evaluation of the NRS suggests it is a reliable instrument for measuring four key dimensions of the nurse-patient relationship and enables the study of this relationship in large samples.