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Searching Health Sciences Literature

Learn how to create a searchable question to find and access literature to help answer your clinical question.

Refining Your Search

This step of the process can feel a bit like trial and error. When searching, you may need to add or remove keywords or subject headings or add filters to get good search results. 

Here is an example of a research question that went through multiple refinements to find the most relevant research:

A researcher is looking for literature that addresses the question, "Which interventions reduce stigma in pregnant or postpartum women with HIV?" They start out with a PICO question:

  • P:  HIV/AIDS AND
  • P: pregnant OR postpartum
  • I: interventions
  • C: n/a
  • O: reduce stigma

Their first search might look like this:

  HIV OR AIDS
AND pregnant OR postpartum
AND interventions OR strategies OR methods
AND reduce stigma

The researcher decides to add some synonyms and use truncation in the search:

  HIV OR MM "Acquired Immunodeficiency Syndrome"
AND pregnant OR postpartum
AND intervent* OR strateg* OR method*
AND reduc* OR decreas* OR minimiz* OR prevent*
AND stigma

Because they are seeing a lot of studies that talk about stigma, but are not on reducing stigma as a major outcome, the researcher decides to include a proximity search. Proximity searching is a way to search for two or more words that occur within a certain number of words from each other. In this case, the researcher wants the word "stigma" to be found three words or less away from the outcome word, so they would use the code N3 between the terms. In addition to their revised search terms, they might also use a filter to limit their search results to only articles that were published in the last five years.

  HIV OR MM "Acquired Immunodeficiency Syndrome"
AND pregnant OR postpartum
AND intervent* OR strateg* OR method*
AND (reduc* OR decreas* OR minimiz* OR prevent*) N3 stigma

As you can see, researchers often have to go through multiple iterations of revising their search -- adding or removing keywords, using a mix of keywords and subject headings, and using filters and boolean operators to focus their search to find relevant information.

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