نبذة مختصرة : Introduction: acute coronary syndrome (ACS) is characterized by different symptoms, so the experience varies from person to person. Dodd’s Conceptual Model of Symptom Management addresses this aspect that requires testing within nursing practice. Objective: to test the postulates of the symptom experience dimension of Dodd’s Conceptual Model of Symptom Management in persons with acute coronary syndrome. Methods: theoretical testing by means of structural equations. A total of 256 individuals with a diagnosis of acute coronary syndrome, selected by stratified probability sampling, participated. Clinical and sociodemographic data were collected, and symptom assessment and response were measured with five valid instruments. Statistical analysis was performed with absolute adjustment, incremental adjustment and parsimony adjustment from which a structural equation model was derived. Results: the bidirectional relationship between symptom severity (assessment) and decision making (symptom response) was tested. A model was formed that explains 44% of the variance on decision making. This variable is also influenced by other variables such as cognitive evaluation and personal control. Conclusion: this conceptual model allowed us to understand the dimension of symptom experience in patients with acute coronary syndrome, proving its postulates in practice. ; Introducción: el síndrome coronario agudo (SCA) se caracteriza por diferentes síntomas, por lo cual la experiencia varía de persona a persona. El Modelo conceptual del manejo de los síntomas (MCMS) de Dodd aborda este aspecto que requiere ser comprobado dentro de la práctica de enfermería. Objetivo: comprobar los postulados de la dimensión de la experiencia de los síntomas del Modelo conceptual de Dodd en personas con síndrome coronario agudo. Métodos: comprobación teórica por medio de ecuaciones estructurales. Participaron 256 individuos con diagnóstico de síndrome coronario agudo, seleccionados por muestreo probabilístico estratificado. Se recolectaron datos ...
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