Satisfacción con la enfermera en atención primaria: herramientas de medida y factores explicativos / Satisfaction with primary care nursing: Use of measurement tools and explanatory factors

Objetivos: Analizar las propiedades psicométricas de 2 herramientas de medida de la satisfacción con la atención recibida de la enfermera en atención primaria y estimar los valores de esta satisfacción y las características del paciente y el servicio asociadas con su variabilidad. Métodos: Los sujetos fueron elegidos aleatoriamente en 23 centros de salud de la Comunidad de Madrid. Se midió la satisfacción con los cuestionarios AMABLE y de Baker, cuyas propiedades psicométricas fueron evaluadas. Se recogieron variables sociodemográficas y otras relativas al estado de salud, o al proceso de atención. Se construyó un modelo explicativo mediante Generalized Estimating Equations. Resultados: Los 662 sujetos expresaron una satisfacción media de 4,95/5 (DE 0,25) con AMABLE y 4,83/5 (DE 0,42) con el cuestionario Baker. AMABLE se explicaba en una única dimensión (alfa Cronbach 0,85), y Baker en 3: cuidados profesionales (media 4,76 [DE 0,48], alfa Cronbach 0,74), profundidad de la relación (media 3,76 [DE 1,18], alfa Cronbach 0,73) y tiempo dedicado (media 4,42 [DE 0,86], alfa Cronbach 0,47). La edad, una mejor percepción del estado de salud y la consulta concertada por la enfermera se asociaban con una mayor satisfacción expresada. La atención en el domicilio, los ingresos hospitalarios, el retraso en la consulta, la familia más extensa o la renta familiar elevada se asociaban con una menor satisfacción. Conclusiones: La satisfacción con la consulta de la enfermera en atención primaria era muy alta y se asociaba con características personales y de la propia consulta. Las herramientas evaluadas eran adecuadas para medir este resultado (AU)

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 (AU)

[Satisfaction with primary care nursing: use of measurement tools and explanatory factors]. / Satisfacción con la enfermera en atención primaria: herramientas de medida y factores explicativos.

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.