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What are the 7 steps of a systematic review?

Published in Systematic Review 3 mins read

A systematic review is a comprehensive and rigorous process for summarizing existing research on a specific topic. It involves seven key steps:

1. Define the Review Question

The first step is to clearly define the research question that the systematic review will address. This question should be specific, measurable, achievable, relevant, and time-bound (SMART).

  • Example: What is the effectiveness of cognitive behavioral therapy (CBT) for treating anxiety disorders in adults?

2. Develop a Search Strategy

Once the review question is defined, you need to develop a comprehensive search strategy to identify relevant studies. This involves identifying appropriate databases, keywords, and search filters.

  • Example: Databases like PubMed, PsycINFO, and Cochrane Library could be used. Keywords could include "cognitive behavioral therapy," "anxiety disorders," and "adults."

3. Select Studies

After conducting the search, you need to screen the retrieved studies to identify those that meet the inclusion criteria. This involves carefully reviewing the abstract and full text of each study.

  • Example: Inclusion criteria might include studies published in English, using a randomized controlled trial design, and focusing on adults with diagnosed anxiety disorders.

4. Extract Data

Once the eligible studies are selected, you need to extract relevant data from each study. This data should be organized in a standardized format, such as a data extraction table.

  • Example: Data to extract might include study characteristics, sample size, intervention details, outcome measures, and results.

5. Assess Risk of Bias

It's crucial to assess the methodological quality of each included study. This helps determine the trustworthiness of the findings and potential biases that might influence the results.

  • Example: Tools like the Cochrane Risk of Bias tool can be used to assess the risk of bias in randomized controlled trials.

6. Analyze Data

After extracting and assessing the data, you need to analyze it to synthesize the findings from different studies. This might involve summarizing the results, calculating effect sizes, and conducting meta-analyses.

  • Example: Meta-analysis can be used to estimate the overall effect of CBT on anxiety disorders across multiple studies.

7. Interpret and Report Findings

Finally, you need to interpret the findings and report them in a clear and concise manner. This includes discussing the limitations of the review, implications for practice, and directions for future research.

  • Example: The systematic review might conclude that CBT is an effective treatment for anxiety disorders in adults, but further research is needed to examine the effectiveness of different CBT techniques.

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