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"risk of bias"

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Rating the Strength of Evidence From the CER

What Is Quality Assessment?  Definition of quality: “[T]he extent to which all aspects of a study’s design and conduct can be shown to protect against systematic bias, nonsystematic bias, and inferential error.” (Lohr & Carey, 1999). Considered to be synonymous with internal validity. Relevant for individual studies. Distinct from assessment of risk of bias for a body of evidence.

What Is Quality Assessment?

This slide includes a table with two columns and three rows. Column 1, row 1: high. Column 2, row 2: High confidence that the evidence reflects the true effect. Further research is very unlikely to change our confidence in the estimate of effect. Column 1, row 2: moderate. Column 2, row 2: Moderate confidence that the evidence reflects the true effect. Further research may change our confidence in the estimate of effect and may change the estimate. Column 1, row 3: low. Column 2, row 3: Low confidence that the evidence reflects the true effect. Further research is likely to change our confidence in the estimate of effect and is likely to change the estimate. Column 1, row 4: insufficient. Column 2, row 4: Evidence is either unavailable or does not permit estimation of an effect. There is a footnote at the bottom that includes the following references: Guyatt GH, et al. BMJ 2008;336:924-6; Owens DK, et al. J Clin Epidemiol 2010;63:513-23; Samson  DJ, et al. AHRQ Comparative Effectiveness Review No. 20. Available at: http://www.effectivehealthcare.ahrq.gov/index.cfm/search-for-guides-reviews-and-reports/?pageaction=displayproduct&productID=447.

Rating the Strength of Evidence From the CER: A Modification of the GRADE Methodology

Four Domains Used To Assess Relevant Studies
The following four major domains were examined: risk of bias (low, medium, high), consistency (no inconsistency, inconsistency present, unknown, or not applicable), directness (direct, indirect), and precision (precise, imprecise). Each key outcome on each comparison of interest was given an overall evidence grade based on the ratings for the individual domains.
Four Domains Used To Assess Relevant Studies
The following four major domains were examined: risk of bias (low, medium, high), consistency (no inconsistency, inconsistency present, unknown, or not applicable), directness (direct, indirect), and precision (precise, imprecise). Four of the outcomes (health-related quality of life, shoulder function, cuff integrity and time to return to work) for each comparison of interest were given an overall evidence grade based on the ratings for the individual domains.
On Data Extraction (II). Data extraction involves more than copying words and numbers from the publication to a form. Clinical domain, methodological, and statistical knowledge is needed to ensure the right information is captured. Interpretation of published data is often needed. What is reported is sometimes not what was carried out. Data extraction and evaluation of risk of bias and of applicability typically occur at the same time.

On Data Extraction (II)

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