This is the second paper in the evidence-based medicine glossary series. It provides information on the principles for evidence-based medicine through definitions, criteria for inclusion and screening, regular flow-sheet, reporting format and the establishment of databases.
This is the sixth paper in the evidence-based medicine glossary series. In this paper, We mainly introduced the concept of research synthesis, systematic review and meta-analysis and review developing process of these glossary.
ObjectiveTo construct the terminology standard of hospital quality and safety. MethodsThe draft terminology standard was constructed through group discussions, and the final draft terminology standard was formed after one round of Delphi expert consultation and two rounds of expert consensus meetings. ResultsThe recovery rate of the questionnaire was 100%, and the authority coefficient of experts was 0.87. A total of 15 experts were invited to two rounds of expert consensus meetings. The terminology standard for hospital quality and safety (TCHAS 10-1-1-4—2022) was finally released, including 4 first-level categories, 20 second-level categories, and 370 terms in total. ConclusionThe terminology standard of hospital quality and safety developed in this study is scientific and reliable, which can be used as a tool to assist medical institutions in carrying out standardized management.
This is the fifth paper in the evidence-based medicine glossary series. In this paper, we mainly introduce the systematic error(bias)and random error in medical research, review the definition and classification of bias made by different institutions and individuals. We also identify and categorize more than 10 types of bias in systematic review, which are considered the best evidence in evidence-based medicine. Additionally, we introduce some methods to reduce and eliminate bias, explaine six subject headings related to bias in MeSH, and introduce a new glossary — uncertainty in metrology.
It is vital for disciplines to introduce their glossary in a standardized manner, and Evidence-Based Medicine is no exception. Unification and standardization for evidence-based medicine glossary are indispensable and urgent. This paper will introduce what is evidence-based medicine glossary and why it is important.