Evaluating Quality Using the PRESS Checklist
The PRESS Checklist provides guidelines for the peer review of search strategies. It includes the following question prompts.
Is the search question translated well into search concepts?
Are there any mistakes in the use of Boolean or proximity operators?
Are any important subject headings (i.e. controlled vocabulary terms) missing or have any irrelevant ones been included?
Are any natural language terms or spelling variants missing, or have any irrelevant ones been included? Is truncation used optimally?
Does the search strategy have any spelling mistakes, system syntax errors, or wrong line numbers?
Do any of the limits used seem unwarranted or are any potentially helpful limits missing?
Has the search strategy been adapted for each database to be searched?
The search strategy for a scoping review should ideally aim to be as comprehensive as possible within the constraints of time and resources in order to identify both published and unpublished (gray or difficult to locate literature) primary sources of evidence, as well as reviews. Any limitations in terms of the breadth and comprehensiveness of the search strategy should be detailed and justified.
As recommended in all JBI types of reviews, a three-step search strategy is to be utilized. Each step must be clearly stated in this section of the protocol.
The first step is an initial limited search of at least two appropriate online databases relevant to the topic. The databases MEDLINE (PubMed or Ovid) and CINAHL would be appropriate for a scoping review on quality of life assessment tools. This initial search is then followed by an analysis of the text words contained in the title and abstract of retrieved papers, and of the index terms used to describe the articles.
A second search using all identified keywords and index terms should then be undertaken across all included databases.
Thirdly, the reference list of identified reports and articles should be searched for additional sources.
Source: https://jbi-global-wiki.refined.site/space/MANUAL/355862729/10.2.5+Search+Strategy


Evidence synthesis methods require authors to search multiple databases, and not all databases accept the same search "syntax." Each individual database requires use of specialized search syntax, and therefore evidence synthesis search strategies must be 'translated' between databases.
For example, a search for vitamin D[tiab] in PubMed will show you all citations with the phrase "vitamin D" in the title, abstract, or keywords, but a search for vitamin D[tiab] in Web of Science will not work at all.
The Polyglot is a tool for translating search strings across multiple databases.
Controlled vocabulary is a set of terminology assigned to citations to describe the content of each reference. Searching with controlled vocabulary can improve the relevancy of search results. Many databases assign controlled vocabulary terms to citations, but their naming schema is often specific to each database. For example, the controlled vocabulary system searchable via PubMed is MeSH, or Medical Subject Headings.
Note: Controlled vocabulary may be outdated, and some databases allow users to submit requests to update terminology.
Not all citations are indexed with controlled vocabulary terms, however, so it is important to combine controlled vocabulary searches with keyword, or text word, searches.
Authors often write about the same topic in varied ways and it is important to add these terms to your search in order to capture most of the literature. For example, consider these elements when developing a list of keyword terms for each concept:
There are several resources to consider when searching for synonyms. Scan the results of preliminary searches to identify additional terms. Look for synonyms, word variations, and other possibilities in Wikipedia, other encyclopedias or dictionaries, and databases.
Phrase searching is looking up phrases rather than a set of keywords in random order. By using phrase searching, it narrows search results by being precise about how you want the words to appear. Databases can use different symbols to search a phrase, however the most common way to search is with "quotes around the phrase". [source: Drexel University Libraries Systematic Reviews LibGuide]
Nesting is a term that describes organizing search terms inside parentheses. This is important because, just like their function in math, commands inside a set of parentheses occur first. Parentheses let the database know in which order terms should be combined.
Always combine terms for a single concept inside a parentheses set. For example:
("Influenza Vaccines"[Mesh] OR "influenza vaccine" OR "influenza vaccines" OR "flu vaccine" OR "flu vaccines" OR "flu shot" OR "flu shots" OR "influenza virus vaccine" OR "influenza virus vaccines")
Additionally, you may nest a subset of terms for a concept inside a larger parentheses set, as seen below. Pay careful attention to the number of parenthesis sets and ensure they are matched, meaning for every open parentheses you also have a closed one.
("Influenza Vaccines"[Mesh] OR "influenza vaccine" OR "influenza vaccines" OR "flu vaccine" OR "flu vaccines" OR "flu shot" OR "flu shots" OR "influenza virus vaccine" OR "influenza virus vaccines" OR ((flu OR influenza) AND (vaccine OR vaccines OR vaccination OR immunization)))
Boolean operators are used to combine terms in literature searches. Searches are typically organized using the Boolean operators OR or AND. OR is used to combine search terms for the same concept (i.e., influenza vaccine). AND is used to combine different concepts (i.e., influenza vaccine AND older adults AND pneumonia). It is important to note that, generally speaking, when you are performing a literature search you are only searching the title, abstract, keywords and other citation data. You are not searching the full-text of the articles.
The last major element to consider when building systematic literature searches are field tags. Field tags tell the database exactly where to search. For example, you can use a field tag to tell a database to search for a term in just the title, the title and abstract, and more. Just like with controlled vocabulary, field tag commands are different for every database.
If you do not manually apply field tags to your search, most databases will automatically search in a set of citation data points. Databases may also overwrite your search with algorithms if you do not apply field tags. For scoping review searching, best practice is to apply field tags to each term for reproducibility.