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Rheumatic diseases are a reason for frequent consultation with primary care doctors. Unfortunately, there is a high percentage of misdiagnosis.To design an algorithm to be used by primary care physicians to improve the diagnostic approach of the patient with joint pain, and thus improve the diagnostic capacity in four rheumatic diseases.Based on the information obtained from a literature review, we identified the main symptoms, signs, and paraclinical tests related to the diagnosis of rheumatoid arthritis, spondyloarthritis with peripheral involvement, systemic lupus erythematosus with joint involvement, and osteoarthritis. We conducted 3 consultations with a group of expert rheumatologists, using the Delphi technique, to design a diagnostic algorithm that has as a starting point "joint pain" as a common symptom for the four diseases.Thirty-nine rheumatologists from 18 countries of Ibero-America participated in the Delphi exercise. In the first consultation, we presented 94 items to the experts (35 symptoms, 31 signs, and 28 paraclinical tests) candidates to be part of the algorithm; 74 items (25 symptoms, 27 signs, and 22 paraclinical tests) were chosen. In the second consultation, the decision nodes of the algorithm were chosen, and in the third, its final structure was defined. The Delphi exercise lasted 8 months; 100% of the experts participated in the three consultations.We present an algorithm designed through an international consensus of experts, in which Delphi methodology was used, to support primary care physicians in the clinical approach to patients with joint pain. Key Points • We developed an algorithm with the participation of rheumatologists from 18 countries of Ibero-America, which gives a global vision of the clinical context of the patient with joint pain. • We integrated four rheumatic diseases into one tool with one common symptom: joint pain. It is a novel tool, as it is the first algorithm that will support the primary care physician in the consideration of four different rheumatic diseases. • It will improve the correct diagnosis and reduce the number of paraclinical tests requested by primary care physicians, in the management of patients with joint pain. This point was verified in a recently published study in the journal Rheumatology International (reference number 31).

Objectives To review the definitions, associated factors, as well as the methods for the measurement and determination of adherence to oral disease modifying drugs in rheumatoid arthritis. Methods A search of the literature was carried out in the PUBMED databases up to December 2017 using MeSH terms: (((“Arthritis, Rheumatoid” [Mesh] AND “Medication Adherence” [Mesh]) OR “Patient Compliance” [Mesh]) AND “Antirheumatic Agents” [Mesh]). Only articles that included an adult population and were in Spanish or English were reviewed. Results From the 387 articles found, 43 were included for general review (definitions of adherence, compliance, concordance and persistence, components, classification and dimensions of adherence, risk factors related to non-adherence, description of direct and indirect methods for measuring adherence). Only 9 articles measured adherence and included information about risk factors related to non-adherence to oral treatment in rheumatoid arthritis. Conclusions The adherence to pharmacological treatment in rheumatoid arthritis is sub-optimal and is associated with less effectiveness in the control of inflammatory activity. The main factors related to low adherence include problems of drug access and availability, increased activity and duration of the disease, polypharmacy, use of medications for prolonged periods, socioeconomic stratum, ethnicity, adverse drug reactions, perception of ineffectiveness of the medication, and concomitant diseases. It is necessary to incorporate the systematic measurement of pharmacological adherence within clinical practice. It is also important to identify the most frequent risk factors associated with low adherence, in order to design strategies aimed at improving patient adherence and achieve better clinical outcomes.

RESUMEN Objetivos: Revisar definiciones, factores asociados a adherencia, métodos para medición y determinación de adherencia a medicamentos modificadores de la enfermedad orales en artritis reumatoide. Métodos: Se realizó una búsqueda de la literatura en las bases de datos de Pubmed hasta diciembre de 2017 mediante términos MeSH (((«Arthritis, Rheumatoid» [Mesh] AND «Medication Adherence» [Mesh]) OR «Patient Compliance» [Mesh]) AND «Antirheumatic Agents» [Mesh]) de artículos que estuvieran en idioma espafñol o inglés e incluyeran solo población adulta. Resultados: De un total de 387 artículos encontrados, 43 se incluyeron para la revisión general, con información sobre definiciones de adherencia, cumplimiento, concordancia y persistencia, componentes, clasificación y dimensiones, factores de riesgo relacionados con la no adherencia al tratamiento, descripción de los métodos de medición. Solo 9 artículos midieron adherencia e incluyeron información sobre factores relacionados con adherencia a medicamentos orales en artritis reumatoide. Conclusiones: La adherencia al tratamiento farmacológico en artritis reumatoide es subóptima y se relaciona con menor efectividad en el control de la actividad inflamatoria. Los principales factores relacionados con baja adherencia incluyen problemas de acceso y disponibilidad del medicamento, mayor actividad y duración de la enfermedad, polifarmacia, uso de medicamentos por periodos prolongados, bajo estrato socioeconómico, etnia, reacciones adversas por medicamentos, percepción de inefectividad de la medicación y enfermedades concomitantes. Es necesario incorporar de forma sistemática la medición de adherencia farmacológica dentro de la práctica clínica rutinaria y la identificación de los factores de riesgo más frecuentes asociados a una baja adherencia con el fin de diseñar estrategias encaminadas a mejorar la adherencia de los pacientes y lograr mejores desenlaces clínicos. ABSTRACT Objectives: To review the definitions, associated factors, as well as the methods for the measurement and determination of adherence to oral disease modifying drugs in rheumatoid arthritis. Methods: A search of the literature was carried out in the PUBMED databases up to December 2017 using MeSH terms: ((("Arthritis, Rheumatoid" [Mesh] AND "Medication Adherence" [Mesh]) OR "Patient Compliance" [Mesh]) AND "Antirheumatic Agents" [Mesh]). Only articles that included an adult population and were in Spanish or English were reviewed. Results: From the 387 articles found, 43 were included for general review (definitions of adherence, compliance, concordance and persistence, components, classification and dimensions of adherence, risk factors related to non-adherence, description of direct and indirect methods for measuring adherence). Only 9 articles measured adherence and included information about risk factors related to non-adherence to oral treatment in rheumatoid arthritis. Conclusions: The adherence to pharmacological treatment in rheumatoid arthritis is sub-optimal and is associated with less effectiveness in the control of inflammatory activity. The main factors related to low adherence include problems of drug access and availability, increased activity and duration of the disease, polypharmacy, use of medications for prolonged periods, socioeconomic stratum, ethnicity, adverse drug reactions, perception of ineffectiveness of the medication, and concomitant diseases. It is necessary to incorporate the systematic measurement of pharmacological adherence within clinical practice. It is also important to identify the most frequent risk factors associated with low adherence, in order to design strategies aimed at improving patient adherence and achieve better clinical outcomes.