![]() Provide justification for the criteria for each variable.Report a kappa-statistic, intraclass coefficient, or other measure of agreement to assess inter-rater reliability of the data.A second reviewer should re-abstract a sample of charts, blinded to the information obtained by the first correlation reviewer.Hold periodic meetings with chart abstractors and study coordinators to resolve disputes and review coding rules.Monitor the performance of the chart abstractors.Ensure uniform training, especially in multi-center studies. ![]() Ideally, train abstractors before the study starts, using a set of “practice” medical records.Describe the qualifications and training of the chart abstracters.Train chart abstractors to perform their jobs.Describe how blinding was maintained in the article.If groups of patients are to be compared, the abstractor should be blinded to the patient’s group assignment Blind chart reviewers to the etiologic relation being studied or the hypotheses being tested.Perform a sensitivity analysis if needed.Ensure uniform handling of data that is conflicting, ambiguous, missing, or unknown.Presence of missing or conflicting data.Provide precise definitions of variables.Use standardized abstraction forms to guide data collection.Chart abstraction is not systematic (misclassification bias).Develop a coding manual and publish as an online appendix.define the predictor and outcome variables to be collected a priori.Needed variables are not in the records.Provide a flow diagram showing how the study sample was derive from the source population.Ensure all available charts have an equal chance of selection.Case selection or exclusion using explicit protocols and well described the criteria.Submit the data collection form, as well as the coding rules and definitions, as an online appendix.Provide evidence of institutional review board approval Investigator conflict of interest or bias.establish if there are sufficient charts to perform the analysis with adequate precision. ![]()
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