| Literature DB >> 28081896 |
Enric Aragonès1, Eva Comín2, Myriam Cavero3, Víctor Pérez4, Cristina Molina5, Diego Palao6.
Abstract
Despite its clinical relevance and its importance as a public health problem, there are major gaps in the management of depression. Evidence-based clinical guidelines are useful to improve processes and clinical outcomes. In order to make their implementation easier these guidelines have been transformed into computerised clinical decision support systems. In this article, a description is presented on the basics and characteristics of a new computerised clinical guideline for the management of major depression, developed in the public health system in Catalonia. This tool helps the clinician to establish reliable and accurate diagnoses of depression, to choose the best treatment a priori according to the disease and the patient characteristics. It also emphasises the importance of systematic monitoring to assess the clinical course, and to adjust therapeutic interventions to the patient's needs at all times.Entities:
Keywords: Atención primaria de salud; Clinical practice guideline; Computer-assisted decision making; Electronic clinical record; Guía de práctica clínica; Historia clínica electrónica; Major depressive disorder; Primary health care; Toma de decisiones asistida por ordenador; Trastorno depresivo mayor
Mesh:
Year: 2017 PMID: 28081896 PMCID: PMC6875988 DOI: 10.1016/j.aprim.2016.09.011
Source DB: PubMed Journal: Aten Primaria ISSN: 0212-6567 Impact factor: 1.137
Figura 1Algoritmo de trabajo en el escenario de apoyo al diagnóstico.
Figura 2Pantalla correspondiente al módulo de diagnóstico de la eGPCD. Se muestra el checklist de criterios sintomáticos para el diagnóstico de depresión mayor según el DSM-IV.
Figura 3Pantalla donde se muestran las sugerencias del sistema para seleccionar un tratamiento antidepresivo entre el abanico de posibles tratamientos recomendados según las características del paciente.
Figura 4Pantalla con el cuestionario Patient Health Questionnaire (PHQ-9), utilizado para evaluar la gravedad inicial de los síntomas depresivos, para el seguimiento clínico y para medir el efecto del tratamiento.