How do you carry out data extraction for a systematic review?

Background

1. Define the review question and develop criteria for including studies.
2. Search for studies addressing the review question.
3. Select studies that meet criteria for inclusion in the review.
4. Extract data from included studies.
5. Assess the risk of bias in the included studies, by appraising them critically.

What should be included in a data extraction form?

From each included study, the following data may need to be extracted, depending on the review’s purpose: title, author, year, journal, research question and specific aims, conceptual framework, hypothesis, research methods or study type, and concluding points.

What is data extraction in systematic literature review?

In a systematic review, data extraction is the process of capturing key characteristics of studies in structured and standardised form based on information in journal articles and reports. It is a necessary precursor to assessing the risk of bias in individual studies and synthesising their findings.

How do you do data extraction?

There are three steps in the ETL process:

1. Extraction: Data is taken from one or more sources or systems.
2. Transformation: Once the data has been successfully extracted, it is ready to be refined.
3. Loading: The transformed, high quality data is then delivered to a single, unified target location for storage and analysis.

How do I extract data from Covidence?

To access extraction, from the Review Summary screen, select the number of studies you have to extract. To access your template, select Data Extraction Template, located above the included study list. The Editor is in the center. You can fully edit the template in the Editor.

How do I extract data from a paper?

For extraction of data from paper form you can apply to data capture. A data capture process is diviced into 4 distinct steps. acquisition, where the paper documents are scanned and then digitized into electronic format; recognition, where the data on the forms are read and interpreted thanks to c.d recognition engines.

How do you write a systematic review?

Steps for writing a systematic review

1. Formulate a research question. Consider whether a systematic review is needed before starting your project.
2. Develop research protocol.
3. Conduct literature search.
4. Select studies per protocol.
5. Appraise studies per protocol.
6. Extract data.
7. Analyze results.
8. Interpret results.

How do I extract data from another source?

How to Extract Data from Multiple Sources

1. Step 1: Decide Which Sources to Use. The first step is to identify which data you want to extract.
2. Step 2: Choose the Extraction Method.
3. Step 3: Estimate the Size of the Extraction.
4. Step 4: Connect to the Data Sources.

How do I export data extraction in Covidence?

In the Extraction menu of your review, select the articles you want to export and click the Export button at the top of the article list. Select either the Quality Assessments (risk of bias) or Data Extractions (data tables) export option. If you select Quality Assessments, Covidence will export a CSV file for Excel.