Why bother with a specific form?
You may be thinking that taking the time and effort to design and test a structured form to extract data from studies is not worth it when you could just sit down with your included studies and enter the information you need straight into RevMan. Experience suggests that it is worth taking time over this step and Section 7.1 of the Reviewers' Handbook gives you some good reasons why we bother with data collection forms. You should read that now.
In summary we need data collection forms as they:
- specifically mirror your review question and so allow you to reassess all important components of your question and ensure you extract the relevant data relevant
- document the history of the process of taking the information from the study into the review and so allow you to backtrack and identify any errors or assumptions you have made in your review
- record the information you need to generate the results of your review, without any additional, unnecessary information. This will allow more efficient data entry into RevMan and highlight any gaps in the data
- allow more than one reviewer to extract data from a study and compare the results of their work, increasing the reliability of the data collected for the review. This is an important step in reducing bias.
Format of data collection forms
There are several different approaches to the format of your data collection form and no single style is necessarily the best. Some reviewers prefer an open ended form with a few headings for structure and lots of space to record information in flexible formats. Others prefer to list every item they wish to extract in a highly structured, checklist type approach.
The following two examples will give you some idea of the variation in data extraction forms. You should design your form to suit your preferred style of working.
Example_from_a_review_ in_schizophrenia.pdf
Example_from_EPOC.pdf
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