Palabras clave
Symptomatology
Malingering
Meta-analysis
Clinical assessment
Symptom validity Inventario Estructurado de Simulación de Síntomas
Simulación
Meta-análisis
Evaluación clínica
Validez de síntomas
Cómo citar
Resumen
Antecedentes: Los fallos en las pruebas de validez de síntomas (puntuar por encima del punto de corte establecido) pueden producirse en diversos contextos y situaciones, incluidos los entornos clínicos rutinarios. Hasta la fecha, ningún metaanálisis se ha centrado en la tasa de fallos del Inventario Estructurado de Simulación de Síntomas (SIMS) en evaluaciones clínicas. Método: Se realizó un meta-análisis de efectos aleatorios binomial-normal para estimar la tasa de fallos combinada del SIMS entre pacientes con un diagnóstico clínico que fueron evaluados en un entorno no forense. Resultados: Se incluyeron 34 estudios y 40 muestras (n = 8844). La puntuación media total del SIMS fue de 15.9 (DE = 5.2). La tasa global estimada de fallo de la SIMS fue del 36% (IC del 95%: 30%-43%; I 2 = 96.6%, p < .001). Conclusiones: Existe una elevada tasa de fallo en el SIMS en poblaciones de pacientes clínicos; sin embargo, estos resultados positivos no son necesariamente falsos positivos. El reto metodológico de diferenciar los verdaderos de los falsos positivos es vital y debería dictar tanto la planificación cuidadosa de futuros estudios como la circunspección en la interpretación de las tasas de fallo de las pruebas de validez en las evaluaciones clínicas.
Citas
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