Information Sources and Decision-Making in Neurosurgery: Results of a Survey of Members of the Brazilian Neurosurgery Society

• Main Authors: Rodrigo Gorayeb, Maria João Forjaz, Antônio Gonçalves-Ferreira, Joaquim Ferreira
• Format: Article
• Language: English
• Published: Thieme Revinter Publicações Ltda. 2018-05-01
• Series: Brazilian Neurosurgery
• Subjects: neurosurgery; evidence-based medicine; source of information; decision-making
• Online Access: http://www.thieme-connect.de/DOI/DOI?10.1055/s-0038-1656716

Abstract Introduction In all surgical disciplines, including neurosurgery, there are questions about the level of evidence supporting surgical practices and the mechanisms and adequacy of knowledge translation. Objectives To assess the perception of Brazilian neurosurgeons of information sources and decision-making mechanisms related to their medical practices. Methods An online questionnaire was sent to the 2,400 members of the Brazilian Neurosurgical Society. Results A total of 32% of the neurosurgeons completed the questionnaire, 53% had more than 10 years experience, 67% had worked in public hospitals, 34% had performed spine surgeries, and 30% had performed brain tumor surgeries. The therapeutic decisions were based mostly on internship learning (54%) and personal professional experience (52%). The most common information sources were scientific abstracts (53%) and the Internet (47%). A total of 89% believed that evidence-based medicine was relevant, 93% believed protocols or guidelines were necessary, and 74% subscribed to a medical journal. Nonetheless, only 43% had protocols implemented in their services, 93% highly valued a surgeon's personal experience, and 63% showed little familiarity with the interpretation of scientific concepts in the literature. Among the respondents, 83% were willing to try an innovative treatment alternative if it was shown to improve clinical outcomes and reduce severe complications. Conclusions The disparity in the responses highlights the need to implement recommendations that improve decision-making mechanisms.