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Management of systemic autoimmune diseases is challenging for physicians in their clinical practice. Although not common, they affect thousands of patients in Spain. The family doctor faces patients with symptoms and non-specific cutaneous, mucous, joint, vascular signs or abnormal laboratory findings at the start of the disease process and has to determine when to refer patients to the specialist. To aid in disease detection and better referral, the Spanish Society of Rheumatology and the Spanish Society of Family Medicine has created a group of experts who selected 26 symptoms, key signs and abnormal laboratory findings which were organized by organ and apparatus. Family doctors and rheumatologists with an interest in autoimmune systemic diseases were selected and formed mixed groups of two that then elaborated algorithms for diagnostic guidelines and referral. The algorithms were then reviewed, homogenized and adapted to the algorithm format and application for cell phone (apps) download. The result is the current Referral document of systemic autoimmune diseases for the family doctor in paper format and app (download). It contains easy-to-use algorithms using data from anamnesis, physical examination and laboratory results usually available to primary care, that help diagnose and refer patients to rheumatology or other specialties if needed. (C) 2019 Elsevier Espana, S.L.U. and Sociedad Espanola de Reumatologia y Colegio Mexicano de Reumatologia. All rights reserved.

Objective To describe the variability of the day care hospital units (DCHUs) of Rheumatology in Spain, in terms of structural resources and operating processes. Material and methods Multicenter descriptive study with data from a self-completed questionnaire of DCHUs self-assessment based on DCHUs quality standards of the Spanish Society of Rheumatology. Structural resources and operating processes were analyzed and stratified by hospital complexity (regional, general, major and complex). Variability was determined using the coefficient of variation (CV) of the variable with clinical relevance that presented statistically significant differences when was compared by centers. Results A total of 89 hospitals (16 autonomous regions and Melilla) were included in the analysis. 11.2% of hospitals are regional, 22.5% general, 27% major and 39.3% complex. A total of 92% of DCHUs were polyvalent. The number of treatments applied, the coordination between DCHUs and hospital pharmacy and the post graduate training process were the variables that showed statistically significant differences depending on the complexity of hospital. The highest rate of rheumatologic treatments was found in complex hospitals (2.97 per 1000 population), and the lowest in general hospitals (2.01 per 1000 population). The CV was 0.88 in major hospitals; 0.86 in regional; 0.76 in general, and 0.72 in the complex. Conclusions There was variability in the number of treatments delivered in DCHUs, being greater in major hospitals and then in regional centers. Nonetheless, the variability in terms of structure and function does not seem due to differences in center complexity.