Craig J C, Irwig L M, Stockler M R
Department of Public Health and Community Medicine, University of Sydney, NSW.
Med J Aust. 2001 Mar 5;174(5):248-53. doi: 10.5694/j.1326-5377.2001.tb143250.x.
Evidence-based medicine (EBM) integrates clinical experience and patient values with the best available research information. There are four steps in incorporating the best available research evidence in decision making: asking answerable questions; accessing the best information; appraising the information for validity and relevance; and applying the information to patient care. Applying EBM to individual patients requires drawing up a balance sheet of benefits and harms based on research and individual patient data. The most realistic and efficient use of EBM by clinicians at the point of care involves accessing and applying valid and relevant summaries of research evidence (evidence-based guidelines and systematic reviews). The future holds promise for improved primary research, better EBM summaries, greater access to these summaries, and better implementation systems for evidence-based practice. Computer-assisted decision support tools for clinicians facilitate integration of individual patient data with the best available research data.
循证医学(EBM)将临床经验、患者价值观与现有最佳研究信息相结合。在决策过程中纳入现有最佳研究证据有四个步骤:提出可回答的问题;获取最佳信息;评估信息的有效性和相关性;以及将信息应用于患者护理。将循证医学应用于个体患者需要根据研究和个体患者数据制定利弊平衡表。临床医生在医疗点最现实、最有效地使用循证医学涉及获取和应用有效且相关的研究证据总结(循证指南和系统评价)。未来有望改进原始研究、提供更好的循证医学总结、更广泛地获取这些总结以及建立更好的循证实践实施系统。临床医生的计算机辅助决策支持工具有助于将个体患者数据与现有最佳研究数据整合。