The course has taught me the different methods of levelling and grading evidence presented in a research paper. Firstly, I have learned the skill of levelling evidence. The skill is vital in allowing on to identify the different forms of evidence a researcher has used in their report. In this respect, as a critic this skill allows me to grade the quality of evidence presented and the relevance of the research findings, based on the AGREE model (AGREE, 2001). Additionally, I have learned how to grade the quality of evidence based on the GRADE design. The skill will allow me to identify the reliability and validity of research findings (Grade, 2000). Besides, I have learned how to evaluate a scientific report based on the databases used to source for data and develop a hierarchy of evidence that will allow me to make conclusions about the research results and opinions of the scholar.
Differentiating Using SORT
The Strength of Recommendation Taxonomy (SORT) is a method used analyze recommendations made by scientists (Weiss, 2004). Grading is based on three levels of the SORT system that include A, B, and C. Based on these grades on can identify the difference between the system for evaluating individual sources of evidence (1, 2, and 3) and the summary grade for a recommendation (A, B, C). The system of evaluating individual sources is level A, while the summary grade for recommendation is level B (Weiss, 2004). The system for evaluating different sources of evidence allows one to analyze the number and nature of trials done in a study, which provides a proper avenue for analysis for relevance. It is consistent with the SORT level A grading, which is based on Consistent, good quality patient-oriented evidence (Weiss, 2004). On the other end, the summary grade for recommendation is abstract in its methods of analysis, which consists with the SORT level B grading that is based on Inconsistent or limited quality patient-oriented evidence (Weiss, 2004).