Download presentation
Presentation is loading. Please wait.
1
Data Extraction Interactive Quiz
Prepared for: The Agency for Healthcare Research and Quality (AHRQ) Training Modules for Systematic Reviews Methods Guide Data Extraction Interactive Quiz
2
Evidence Tables: Design
Evidence tables should be set at the beginning of a project and not changed, regardless of any unanticipated information or results found in the literature. True False Evidence Tables: Design Evidence tables should be set at the beginning of a project and not changed, regardless of any unanticipated information or results found in the literature. Incorrect. The discovery of new information during the course of a review will usually necessitate periodic updating of the evidence tables. Correct. Evidence tables will be set at the beginning of each project but should be updated periodically to incorporate new information as needed.
3
Evidence Tables: Review
Because of the typically large numbers of included studies, evidence tables need be reviewed only once for accuracy. True False Evidence Tables: Review Because of the typically large numbers of included studies, evidence tables need be reviewed only once for accuracy. Incorrect. Evidence tables include many different fields that must be filled out correctly. The more eyes, the better. Correct. As with any step of the review process, a second review (or even more) is necessary to ensure accurate results.
4
Evidence Tables: Fields (I)
The fields in an evidence table change from project to project. True False Evidence Tables: Fields The fields in an evidence table change from project to project. Correct. The data that must be extracted from each study vary from project to project. Evidence tables reflect this variation. Incorrect. Evidence tables look different from project to project for several reasons, including variation in topic, the types of included studies (e.g., treatment, longitudinal, cross-sectional), and the desired information to be extracted.
5
Evidence Tables: Fields (II)
Which of the following could be possible fields for inclusion on an evidence table? Country Setting Outcome Study design All of the above Evidence Tables: Fields (II) Which of the following could be possible fields for inclusion on an evidence table? This choice is correct, but so are the other ones. Correct. These are just some of the fields that could be included in any evidence table. Their inclusion depends upon the applicability of the information to the review.
6
Evidence Tables: Discordant Information
What should be done when two reviewers record different information in a certain evidence table field? Calculate the average of the data recorded by both reviewers Use the information that most closely conforms to the format of the table Adjudicate by using a third reviewer Exclude the study Evidence Tables: Discordant Information What should be done when two reviewers record different information in a certain evidence table field? Incorrect. Calculating the average will not do. The reviewers should have the same results to begin with. Adjudicating with a third reviewer is the best way to ensure the most accurate results. Incorrect. Making sure the evidence tables are uniform in format should be one of the last steps of the process. Determining whether or not the information is entered correctly should be the priority. Correct. Adjudicating with a third reviewer is the best way to ensure the most accurate results. Incorrect. The study was included for a reason. Do not take the easy way out. Adjudicating with a third reviewer is the best way to ensure the most accurate results.
7
Summary Evidence tables are an integral part of any review.
Proper table construction and thorough data abstraction are crucial for accurately conveying the results of a review. Discrepancies in data between two reviewers should be adjudicated by a third reviewer. Summary
8
Authors This quiz was prepared by Joseph Lau, M.D., and Thomas Trikalinos, M.D., Ph.D., members of the Tufts Medical Center Evidence-based Practice Center, and Melissa L. McPheeters, Ph.D., M.P.H., and Jeff Seroogy, B.S., members of the Vanderbilt University Evidence-based Practice Center. The information in this module is currently not included in Version 1.0 of the Methods Guide for Comparative Effectiveness Reviews (available at: healthcare.ahrq.gov/repFiles/2007_10DraftMethodsGuide.pdf). Authors This interactive quiz augments the module on data extraction. It was prepared by Joseph Lau, M.D., and Thomas Trikalinos, M.D., Ph.D., members of the Tufts Medical Center Evidence-based Practice Center, and Melissa L. McPheeters, Ph.D., M.P.H., and Jeff Seroogy, B.S., members of the Vanderbilt University Evidence-based Practice Center. The information in this quiz is currently not included in Version 1.0 of the Methods Guide for Comparative Effectiveness Reviews (available at: healthcare.ahrq.gov/repFiles/2007_10DraftMethodsGuide.pdf).
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.