Communication between health professionals and patients: review of studies using the RIAS (Roter Interaction Analysis System) method

• Autor(a) principal: Pires,Carla M.
• Data de Publicação: 2014
• Outros Autores: Cavaco,Afonso M.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista da Associação Médica Brasileira (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302014000200156
• topic: RIAS; roter interaction analysis system; communication; health professionals

Objective: Systematic review of studies that investigate the communication between patients and health professionals with the application of the RIAS methodology. Methods: Keyword Roter Interaction Analysis System was searched in the following bibliographic resources: Academic Search Complete, Current Contents, ISI Proceedings, PubMed, Elsevier, SpringerLink, Web of Science, RCAAP, Solo and the official RIAS site. Selection period: 2006 to 2011. Studies were selected using multicriteria dichotomous analysis and organized according to PRISMA. Results: Identification of 1,262 articles (455 unrepeated). 34 articles were selected for analysis, distributed by the following health professions: family medicine and general practitioners (14), pediatricians (5), nurses (4), geneticists (3), carers of patients with AIDS (2), oncologists (2), surgeons (2), anesthetists (1) and family planning specialists (1). The RIAS is scarcely used and publicized within the scope of healthcare in Portuguese speaking countries. Discussion: Main themes studied include the influence of tiredness, anxiety and professional burnout on communication and the impact of specific training actions on professional activities. The review enabled the identification of the main strengths and weaknesses of synchronous and dyadic verbal communication within the provision of healthcare. Conclusion: Scientific investigation of the communication between health professionals and patients using RIAS has produced concrete results. An improvement is expected in health outcomes through the application of the RIAS.