Effective searching creates the foundation for your systematic review.
Your aim is to maximize precision (the number of relevant sources found by your search divided by the total number of sources found by your search) without sacrificing recall (the number of relevant sources found by your search divided by the total number of existing relevant sources).
The Covidence Academy's "How to write a search strategy for your systematic review" is a good starting resource for writing effective searches.
As you begin your project, it is important to define a clear scope of your review. Craft your research question. Brainstorm the inclusion and exclusion criteria that you will use to screen sources. Start to identify search terms related to your question and criteria.
Inclusion and exclusion criteria are developed after a research question is finalized but before a search is carried out. They determine the limits for the evidence synthesis and are typically reported in the methods section of the publication.
The PRISMA Flow Chart is a helpful way to track and report inclusion/exclusion decisions. An in-depth explanation of the PRISMA guidelines can be found in "What is PRISMA guidelines & what's new in the 2020 update" by Covidence Academy.
You will most likely add search terms as you dig into the databases and available research. One way to keep track of your keywords is to create a simple table like the following:
Search Concepts | Sets of Keywords |
---|---|
Concept 1 (e.g., traumatic brain injury) |
Set of keywords that represent Concept 1 (e.g., "traumatic brain injury" OR TBI OR "head injury" OR etc.) |
Concept 2 |
Set of keywords that represent Concept 2 |
Concept 3 | Set of keywords that represent Concept 3 |
etc. | etc. |
Each time you identify an additional synonym for a concept, add it to the appropriate set of keywords. Notice that each set is being built with "or" separating each word. This makes it easier to translate it into the database search later.
In this example, multiple-word phrases are encased with double quotation marks. This is a common way to make sure databases search for full phrases rather than individual words.
You might also decide to truncate words that would have multiple endings. This is often signified with an asterisk (e.g., injur* would retrieve injury, injuries, etc.). Because databases have their own search functions and algorithms, it is best to examine what works for each one.
If relevant, use the concepts from the PICO (Population, Intervention, Comparison, Outcome) or SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) frameworks to develop sets of keywords.