Implementación de un cribado de fragilidad desde atención primaria en el Área Sanitaria de Ferrol

• Pablo Díaz Vidal ^[1] ; Zaira Tojo Mañá ^[2]
  1. [1] Centro de Salud Neda. Neda, A Coruña
  2. [2] Centro de Salud. Cedeira. Cedeira, A Coruña
• Localización: Gerokomos: Revista de la Sociedad Española de Enfermería Geriátrica y Gerontológica, ISSN 1134-928X, Vol. 35, Nº. 1, 2024, págs. 13-18
• Idioma: español
• Títulos paralelos:
  • Implementation of a frailty screening from primary care in the Health Area of Ferrol
• Enlaces
  • Texto completo (pdf)
• Dialnet Métricas: 1 Cita
• Resumen
  • español

    Objetivos: Conocer la prevalencia de fragilidad entre los sujetos de 70 o más años que acuden a la consulta de enfermería de atención primaria, así como conocer las variables asociadas a la presencia de fragilidad. Metodología: Estudio observacional transversal en el que, tras un muestreo por conveniencia, se utilizó la Short Physical Performance Battery para realizar un cribado de fragilidad a 114 pacientes. Se utilizó una regresión logística multivariante para conocer las variables asociadas a la fragilidad. Resultados: Un 35,4% de los sujetos estudiados se catalogaron como frágiles tras la realización de las pruebas de función física. Las variables asociadas en el análisis multivariado a la fragilidad fueron la edad, el entorno de residencia, el riesgo de caídas, la toma de anticoagulantes orales y el tratamiento con insulina lenta. Conclusiones: Este estudio ha evidenciado las altas prevalencias existentes de fragilidad, poniendo de relieve la importancia de este tipo de cribados y la pertinencia de que la enfermería de atención primaria contribuya a su detección y manejo.

  • English

    Objectives: To know the prevalence of frailty among subjects aged 70 or over who attend the primary care nursing consultation, as well as to know the variables associated with the presence of frailty. Methodology: Cross-sectional observational study in which, after convenience sampling, the Short Physical Performance Battery was used to screen 114 patients for frailty.

    Multivariate logistic regression was used to determine the variables associated with frailty. Results: 35.4% of the subjects studied were classified as frail after performing the physical function tests. The variables associated with frailty in the multivariate analysis were age, residence environment, risk of falls, taking oral anticoagulants, and slow insulin treatment.

    Conclusions: This study has evidenced the high existing prevalence of frailty, highlighting the importance of this type of screening and the relevance of primary care nursing contributing to its detection and management.

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