[Satisfaction with primary care nursing: use of measurement tools and explanatory factors].

Objectives: This study aims to assess the psychometric properties of two measurement tools for patient satisfaction with nursing care in Primary Care, the satisfaction level, and the personal and consultation characteristics associated with its variability.
Methods: Subjects randomly selected in 23 Health Care centres in the Community of Madrid were included. Satisfaction was measured by means of the AMABLE and Baker questionnaires, in which the psychometric properties were evaluated. Sociodemographic characteristics of the consultations, variables related to health status, and other related to the consultation process were collected. An explanatory model using Generalized Estimating Equations was constructed.
Results: The 662 subjects expressed a mean satisfaction of 4.95/5 (SD .25) with AMABLE, and 4.83/5 (SD .42) with the Baker questionnaire. AMABLE had a single dimension (Cronbach's alpha .85), and Baker three: professional care (mean 4.76, SD .48 Cronbach's alpha .74), depth of relationship (mean 3.76, SD 1.18, Cronbach's alpha .73), and perceived time (mean 4.42, SD .86, Cronbach's alpha .47). Ageing, a better perception of health status, and appointments arranged by nurses were associated with higher expressed satisfaction. Home care, hospital admissions, delayed consultation, extended family, or high family income were associated with lower satisfaction.
Conclusions: Satisfaction with nurse consultations in Primary Care was very high, and varied depending on personal characteristics and on the type of consultation. The assessed tools allowed this outcome to be measured properly.
(Copyright © 2014 SECA. Published by Elsevier Espana. All rights reserved.)